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2022-07-09

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Nvidia: Time To Buy The King Of Data Centers

2022-07-09

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Based on the company’s breakdown of its data center business across 6 data center classes, we examined its product offering that caters to these customers and determined the outlook of its data center business segment as a whole.</p><p>Moreover, we looked into the company’s product offerings of its GPUs and software to offer the full stack for data centers and how it is integrating AI and software functionalities to build on its data center leadership.</p><p>As it recently introduced its Arm CPU products for data centers, we analyzed the Arm CPU market and the players within, and projected its share vs x86 processors. Based on this, we estimated the market opportunity for Nvidia and its revenue growth.</p><h2><b>Dominating Data Centers Across All 6 Classes</b></h2><p>Nvidia’s data center segment has become its largest segment accounting for 45% of revenues in Q1 FY2023 and had the highest growth CAGR of 73.8% in the past 5 years. Its computing platform consists of hardware and software such as GPUs, DPUs, interconnects and systems, CUDA programming model and software libraries. According to Nvidia’s CEO, the company listed 6 types of data center classes: supercomputing centers, enterprise computing data centers, hyperscalers, cloud computing and two new classes which are FactoryAI and edge data centers. In the table below, we compiled the different data center classes by their market sizes, forecast CAGR, location, applications, users, relative compute power and footprint.</p><table><tbody><tr><td><p><b>Data Center</b></p></td><td><p><b>Market Size ($ bln)</b></p></td><td><p><b>Market Forecast CAGR</b></p></td><td><p><b>Computer Power</b></p></td><td><p><b>Location</b></p></td><td><p><b>Footprint (&#39;size&#39;)</b></p></td><td><p><b>Types of Users/ Operators</b></p></td><td><p><b>Applications</b></p></td></tr><tr><td><p>Supercomputing Data Center</p></td><td><p>6.5</p></td><td><p>16.2%</p></td><td><p>Very High</p></td><td><p>Self-operated</p></td><td><p>Large</p></td><td><p>Governments, aerospace, petroleum, and automotive industries</p></td><td><p>HPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion research</p></td></tr><tr><td><p>Hyperscale Data Center</p></td><td><p>32.2</p></td><td><p>14.9%</p></td><td><p>High</p></td><td><p>Self-operated</p></td><td><p>Very Large</p></td><td><p>Large multinational companies, cloud service providers</p></td><td><p>Colocation, cryptography, genome processing, and 3D rendering</p></td></tr><tr><td><p>Enterprise Data Center</p></td><td><p>84.2</p></td><td><p>12.0%</p></td><td><p>Low</p></td><td><p>Self-operated</p></td><td><p>Medium</p></td><td><p>Enterprises (Various industries)</p></td><td><p>Company networks and systems (Various industries)</p></td></tr><tr><td><p>Cloud Computing Data Center</p></td><td><p>358.8</p></td><td><p>16.4%</p></td><td><p>High</p></td><td><p>Third-party</p></td><td><p>Very Large</p></td><td><p>Cloud service providers</p></td><td><p>Cloud-native application development, storage (IaaS), streaming, data analytics</p></td></tr><tr><td><p>Edge Data Center</p></td><td><p>7.9</p></td><td><p>17.0%</p></td><td><p>Medium</p></td><td><p>Third-party</p></td><td><p>Medium</p></td><td><p>Edge Data Center Companies, Telco, Healthcare</p></td><td><p>5G, AV, Telemedicine, data analytics,</p></td></tr><tr><td><p>Factory AI Data Center</p></td><td><p>2.3</p></td><td><p>47.9%</p></td><td><p>Medium</p></td><td><p>Self-operated</p></td><td><p>Low</p></td><td><p>Manufacturers</p></td><td><p>Supply Chain Optimization, Predictive Maintenance, Process Control</p></td></tr></tbody></table><p><i>Source: Research and Markets, Nvidia, Khaveen Investments</i></p><p>To illustrate the market sizes of each data center class, we compiled the market revenues and forecast CAGR of each data center class based on Research and Markets. Based on the table above, cloud computing is the largest ($359 bln) as it consists of major cloud service providers including AWS, Azure and Google Cloud. this is followed by Enterprise Data Centers. Overall, the combined market size of the 6 data center classes is worth around $491 bln. However, the new data center classes, Factory AI and edge data center, have the highest CAGR of 47.9% and 17% respectively.</p><h3><b>Supercomputing Data Center</b></h3><p>Firstly, supercomputing data centers which are computers with much higher computational capacities supporting intensive applications such as</p><blockquote>HPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion research.</blockquote><p>In 2021, Nvidia claimed that 70% of the TOP500 supercomputers in the world are powered by its accelerators and it&#39;s even higher at 90% for new systems. The company had remarkable growth in this area over the past 10 years from 34% share of the TOP500 systems in 2011. For example, the company’s GPUs power the fastest supercomputers in the U.S. and Europe like the Oak Ridge National Labs’ Summit, the world’s smartest supercomputer. The company has recently introduced its H100 GPUs based on its Hopper architecture which follows its A100 GPUs based on its Ampere architecture. Supercomputers are equipped with a large number of GPUs, previously Nvidia stated that 6 supercomputers used a total of 13,000 A100 GPUs.</p><h3><b>Enterprise Data Center</b></h3><p>Besides supercomputers, the company also targets enterprise systems. According to Cisco, compared to other types of data centers, enterprise data centers are built and operated by companies within their premises and optimized for their users to support their data and storage requirements by companies in various industries such as IT, financial services, and healthcare. However, in comparison, hyperscale data centers have higher compute capacities. Based on Nvidia, its NVIDIA-Certified System</p><blockquote>enable enterprises to confidently deploy hardware solutions that securely and optimally run their modern accelerated workloads.</blockquote><p>The company’s Nvidia-certified data center partners include the top server providers such as Lenovo (OTCPK:LNVGY), Fujitsu (OTCPK:FJTSF), Dell (DELL), Cisco (CSCO), and HPE (HPE), with a combined market share of over 38% of the server market based on the IDC. Also, the company introduced its EGX for enterprise as well as edge computing.</p><h3><b>Hyperscale Data Centers</b></h3><p>Moreover, Nvidia also targets hyperscale data centers which are massive facilities exceeding 5,000 servers and 10,000 square feet according to the IDC. They are “designed to support robust and scalable applications” due to their agility to scale up or down to meet customers’ demands by adding more computing power to their infrastructure. For example, companies which operate these facilities include Yahoo, Facebook (META), Microsoft (MSFT), Apple (AAPL), Google (GOOG, GOOGL) and Amazon (AMZN). According to Vertiv, there were more than 600 hyperscale data centers in 2021. Nvidia has “ready-to-use system reference designs” based on its GPUs such as its HGX product for hyperscale and supercomputing data centers.</p><h3><b>Cloud Computing </b></h3><p>Additionally, the company also underline cloud computing data centers, allowing customers and developers to leverage Nvidia’s hardware through the cloud to support applications such as advanced medical imaging, automated customer service, and cinematic-quality gaming. According to Microsoft, cloud computing is the delivery of computing services over the internet with services such as IaaS, PaaS and SaaS with use cases including creating cloud-native applications, streaming and data analytics. Besides that, Nvidia has partnerships with major cloud service providers including Amazon, the market leader in the cloud infrastructure market with a 33% market share in 2021 according to Canalys, trailed by Microsoft Azure, Google Cloud and Alibaba Cloud (BABA, OTCPK:BABAF). These cloud providers are also part of the company’s partner ecosystem.</p><blockquote>And now, with NVIDIA’s GPU-accelerated solutions available through all top cloud platforms, innovators everywhere can access massive computing power on demand and with ease. – Nvidia</blockquote><h3><b>AI Factory </b></h3><p>In addition to these 4 classes of data centers, the company also highlighted the first new data center class which is “AI Factory.” According to CEO Jensen Huang, manufacturers are becoming “intelligence manufacturers” processing and refining data. The company highlighted its GPU-accelerated computing for applications leveraging AI including Supply Chain Optimization, Predictive Maintenance and Process Control for operations optimization improved time-to-insight and lower cost. According to Nvidia’s CEO, the company highlighted 150,000 factories refining data, creating models and becoming intelligence manufacturers. The company has its AGX platform for autonomous machines. For example, one customer of the company is BMW which is using its hardware and software for its robotics and machinery.</p><blockquote>The idea is to equip BMW’s factory with all manner of Nvidia hardware. First, the company will use Nvidia’s DGX and Isaac simulation software to train and test the robots; Nvidia Quadro ray-tracing GPUs will render synthetic machine parts. – Nvidia CEO</blockquote><h3><b>Edge Data Center</b></h3><p>Lastly, the company also highlighted edge data centers which are smaller data centers that are closer to end-users for lower latency and greater speed benefits according to Nlyte Software. Nvidia highlighted that edge data centers span a wide range of applications such as “warehouse, retail stores, cities, public places, cars, robots”. Compared to cloud computing where data is sent from the edge to the cloud, edge computing refers to data computed right at the edge. The company’s EGX for enterprise and edge computing. Based on the company, its NVIDIA EGX and Jetson solutions</p><blockquote>accelerate the most powerful edge computing systems to power diverse applications, including industrial inspection, predictive maintenance, factory robotics, and autonomous machines.</blockquote><p>Furthermore, we updated our revenue projection for Nvidia’s data center segment in the table below from our previous analysis based on its data center revenue share of the total cloud market capex. To derive this, we forecasted the total cloud market capex based on our projection of the total cloud market from data volume growth forecasts.</p><table><tbody><tr><td><p><b>Volume of Data Worldwide</b></p></td><td><p><b>2017</b></p></td><td><p><b>2018</b></p></td><td><p><b>2019</b></p></td><td><p><b>2020</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td></tr><tr><td><p>Cloud Infrastructure Market Revenues ($ bln)</p></td><td><p>46.5</p></td><td><p>69</p></td><td><p>96</p></td><td><p>129.5</p></td><td><p>178.0</p></td><td><p>248.1</p></td><td><p>349.7</p></td><td><p>485.7</p></td><td><p>679.8</p></td><td><p>951.4</p></td></tr><tr><td><p>Cloud Infrastructure Market Revenue Growth %</p></td><td><p>45%</p></td><td><p>48%</p></td><td><p>39%</p></td><td><p>35%</p></td><td><p>37%</p></td><td><p>39%</p></td><td><p>41%</p></td><td><p>39%</p></td><td><p>40%</p></td><td><p>40%</p></td></tr><tr><td><p>Data Volume (ZB)</p></td><td><p>26</p></td><td><p>33</p></td><td><p>41</p></td><td><p>64.2</p></td><td><p>79</p></td><td><p>97</p></td><td><p>120</p></td><td><p>147</p></td><td><p>181</p></td><td><p>222.9</p></td></tr><tr><td><p>Data Volume Growth %</p></td><td><p>44%</p></td><td><p>27%</p></td><td><p>24%</p></td><td><p>57%</p></td><td><p>23%</p></td><td><p>23%</p></td><td><p>24%</p></td><td><p>23%</p></td><td><p>23%</p></td><td><p>23%</p></td></tr><tr><td><p>Total Market Capex (Adjusted)</p></td><td><p>54.3</p></td><td><p>82.8</p></td><td><p>88.0</p></td><td><p>125.7</p></td><td><p>163.9</p></td><td><p>209</p></td><td><p>271</p></td><td><p>344</p></td><td><p>442</p></td><td><p>567</p></td></tr><tr><td><p>Total Market Capex Growth %</p></td><td><p>30%</p></td><td><p>52%</p></td><td><p>6%</p></td><td><p>43%</p></td><td><p>30%</p></td><td><p>28%</p></td><td><p>29%</p></td><td><p>27%</p></td><td><p>28%</p></td><td><p>28%</p></td></tr><tr><td><p>Nvidia Data Center Share of Capex Spend</p></td><td><p>3.6%</p></td><td><p>3.5%</p></td><td><p>3.4%</p></td><td><p>5.3%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td></tr><tr><td><p><b>Nvidia Data Center Revenues</b></p></td><td><p><b>1.9</b></p></td><td><p><b>2.9</b></p></td><td><p><b>3.0</b></p></td><td><p><b>6.7</b></p></td><td><p><b>10.6</b></p></td><td><p><b>13.6</b></p></td><td><p><b>17.5</b></p></td><td><p><b>22.3</b></p></td><td><p><b>28.6</b></p></td><td><p><b>36.7</b></p></td></tr><tr><td><p><b>Nvidia Data Center Revenues Growth %</b></p></td><td><p><b>132.5%</b></p></td><td><p><b>51.8%</b></p></td><td><p><b>1.8%</b></p></td><td><p><b>124.5%</b></p></td><td><p><b>58.5%</b></p></td><td><p><b>27.7%</b></p></td><td><p><b>29.2%</b></p></td><td><p><b>27.3%</b></p></td><td><p><b>28.3%</b></p></td><td><p><b>28.3%</b></p></td></tr></tbody></table><p><i>Source: Nvidia, Company Data, Khaveen Investments </i></p><p>Overall, we believe the company’s data center segment outlook is supported by its presence across the 6 types of data centers underlined including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI. Besides a broad product portfolio catering to each data center class, the company also has partnerships with key customers such as major server vendors and cloud service providers. Based on our revenue projection, we derived an average revenue growth rate of 28.2% for its segment through 2026.</p><h2><b>Integrating Software and AI into Data Centers</b></h2><p>A data center consists of chips including GPU, central processing unit (CPU), and field-programmable gate array (FPGA) which are some of the commonly used data center chips according to imarc. According to the company, it highlighted the greater compute capabilities of GPUs used as accelerators in data centers running tens of thousands of threads compared to CPUs. According to Network World,</p><blockquote>GPUs are better suited than CPUs for handling many of the calculations required by AI and machine learning in enterprise data centers and hyperscaler networks.</blockquote><p>According to Ark Invest, CPUs comprised 83% of data center budgets in 2020 but were forecasted to decline to 40% by 2030 as GPUs become the dominant processor.</p><p>In its annual report, Nvidia claims to have a platform strategy that brings its hardware, software, algorithms and software libraries together. Furthermore, the company highlighted the introduction of its CUDA programming model which enabled its GPUs with parallel processing capabilities for intensive compute workloads such as deep learning and machine learning.</p><blockquote>With our introduction of the CUDA programming model in 2006, we opened the parallel processing capabilities of our GPU for general-purpose computing. This approach significantly accelerates the most demanding high-performance computing, or HPC, applications in fields such as aerospace, bioscience research, mechanical and fluid simulations, and energy exploration. Today, our GPUs and networking accelerate many of the fastest supercomputers across the world. In addition, the massively parallel compute architecture of our GPUs and associated software are well suited for deep learning and machine learning, powering the era of AI. While traditional CPU-based approaches no longer deliver advances on the pace described by Moore’s Law, we deliver GPU performance improvements on a pace ahead of Moore’s Law, giving the industry a path forward. – Nvidia 2022 Annual Report</blockquote><p></p><p><img src=\"https://static.tigerbbs.com/6b967b108b6c19a49afe2a462c51c98b\" tg-width=\"640\" tg-height=\"324\" referrerpolicy=\"no-referrer\"/></p><p>Nvidia</p><p>In addition, as seen in the chart above, the company claims to provide a full stack of AI solutions. Besides its hardware, Nvidia has a collection of AI software solutions and development kits for customers and software developers including Clara Mionai, Riva, Maxine, Nemo and Merlin. Moreover, according to the company, it has</p><blockquote>over 450 NVIDIA AI libraries and software development kits to serve industries such as gaming, design, quantum computing, AI, 5G/6G, and robotics.</blockquote><p>Furthermore, its products support various AI software frameworks and software such as RAPIDS, TensorFlow and PyTorch. As Nvidia continued to build up its AI stack, the company’s patents had been steadily increasing since 2018 to 1,174 in 2021 based on Global Data. In comparison, AMD’s patents had also been rising since 2017 with a higher number of patents (1,795) while Intel’s patent filings had been declining but have the most number of patents (11,677).</p><p>Additionally, the company had introduced its standalone enterprise software offering including NVIDIA AI Enterprise which is $1,000 per node and has 25,000 enterprises already using its technology for AI. According to the company, it had a server installed base of 50 mln enterprises and a TAM of $150 bln for its Enterprise AI software based on its Investor Day Presentation. To determine the share of TAM we expect Nvidia to derive, we compared it against AMD and Intel in terms of its breadth of products, AI software integrations, GPU and CPU performance and price. We ranked the best company for each category with a weight of 0.5 followed by 0.3 for the second-best and 0.2 for the last company and calculated its average weight as our assumption for each company’s share of the TAM.</p><table><tbody><tr><td><p><b>Competitive Positioning</b></p></td><td><p><b>Nvidia</b></p></td><td><p><b>Intel</b></p></td><td><p><b>AMD</b></p></td></tr><tr><td><p>Number of products</p></td><td><p>7</p></td><td><p>5</p></td><td><p>4</p></td></tr><tr><td><p>Software AI Integrations</p></td><td><p>21</p></td><td><p>18</p></td><td><p>7</p></td></tr><tr><td><p>Average Data Center CPU Benchmark</p></td><td><p>N/A</p></td><td><p>34,237</p></td><td><p>76,308</p></td></tr><tr><td><p>Average Data Center CPU Price</p></td><td><p>N/A</p></td><td><p>$ 2,277</p></td><td><p>$ 3,843</p></td></tr><tr><td><p>GPU Performance (TFLOPS)</p></td><td><p>60</p></td><td><p>N/A</p></td><td><p>47.9</p></td></tr><tr><td><p>GPU Price</p></td><td><p>$36,405</p></td><td><p>N/A</p></td><td><p>$ 14,500</p></td></tr><tr><td><p><b>Competitive Positioning</b></p></td><td><p><b>Nvidia</b></p></td><td><p><b>Intel</b></p></td><td><p><b>AMD</b></p></td></tr><tr><td><p>Number of products</p></td><td><p>0.5</p></td><td><p>0.3</p></td><td><p>0.2</p></td></tr><tr><td><p>Software AI Integrations</p></td><td><p>0.5</p></td><td><p>0.3</p></td><td><p>0.2</p></td></tr><tr><td><p>Average Data Center CPU Benchmark</p></td><td><p>0.2</p></td><td><p>0.5</p></td><td><p>0.3</p></td></tr><tr><td><p>Average Data Center CPU Price</p></td><td><p>0.2</p></td><td><p>0.5</p></td><td><p>0.3</p></td></tr><tr><td><p>GPU Performance (TFLOPS)</p></td><td><p>0.5</p></td><td><p>0.2</p></td><td><p>0.3</p></td></tr><tr><td><p>GPU Price</p></td><td><p>0.3</p></td><td><p>0.2</p></td><td><p>0.5</p></td></tr><tr><td><p><b>Weights</b></p></td><td><p><b>0.37</b></p></td><td><p><b>0.33</b></p></td><td><p><b>0.30</b></p></td></tr></tbody></table><p><i>Source: Nvidia, Intel, AMD, WFTech, Khaveen Investments </i></p><p>Based on the table, Nvidia has the broadest product breadth between AMD (4) and Intel (5) with 7 products as the company product offerings include GPUs and DPUs as well as reference design systems such as AGX, HGX, EGX and DGX. Also, it is planning to introduce CPUs based on Arm architecture. In comparison, Intel follows behind with its portfolio of ASICs, FPGAs, GPUs, CPUs and Smart NICs while AMD has FPGAs (Xilinx), CPUs, GPUs and DPUs. Furthermore, by referring to these companies’ AI presentation pitch decks and websites, we found that Nvidia has the highest AI software integrations (21) with its broad collection as stated above in addition to its cloud deployment and infrastructure optimization including Nvidia GPU Operator, Network Operator, vGPU, MagnumIO, CUDA-AI and vSphere integration as part of its AI Enterprise package. As Nvidia’s CPU and Intel’s GPU have yet to launch, we ranked it as the lowest with N/A for our calculations.</p><p>In terms of hardware, we compared Intel and AMD data center CPUs from our previous analysis of Intel where we determined AMD’s performance advantage based on its higher benchmark score but with premium pricing compared to Intel. Additionally, we compared Nvidia’s H100 GPU based on its performance as measured by its TFLOPS specs with a higher maximum of 60 TFLOPS compared to AMD’s Instinct M250. Though, Nvidia’s GPU has a higher estimated price compared to AMD.</p><table><tbody><tr><td><p><b>Nvidia Enterprise AI Software Revenue ($ bln)</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td><td><p><b>2027F</b></p></td><td><p><b>2028F</b></p></td></tr><tr><td><p>Market TAM</p></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><p>150</p></td></tr><tr><td><p>Nvidia Enterprise AI Software</p></td><td><p>0.03</p></td><td><p>0.1</p></td><td><p>0.2</p></td><td><p>0.7</p></td><td><p>2.0</p></td><td><p>6.1</p></td><td><p>18.3</p></td><td><p>55</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td></tr></tbody></table><p><i>Source: Nvidia, Khaveen Investments </i></p><p>Overall, we determined that Nvidia edged out Intel and AMD with the highest competitive positioning with an average weightage for Nvidia at 37% which we used as our assumption for its share of the Enterprise AI software TAM. Based on the company’s $150 bln TAM as highlighted from its Investor Day, we estimated its revenue opportunity to be $55 bln growing at a CAGR of 200% from 2021 (calculated based on its average cost of $1,000 and 25,000 existing customers) which we believe is not unreasonable given the expected rise of AI which could contribute $15.7 tln in economic output by 2030 according to PwC.</p><h2><b>$10 billion Arm CPU Opportunity in Data Centers</b></h2><p>Furthermore, the company had recently introduced its Arm-based Grace CPU for data centers. In terms of specifications, it features 144 CPU cores, 1TB/s LPDDR5X and is connected coherently over NVLink®-C2C. The company also announced that multiple hardware vendors, including ASUS (OTC:AKCPF), Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn will build Grace-based systems that will start shipping in H1 2023. Additionally, the company had previously secured the Swiss National Supercomputing Centre, which has a budget of around $25 mln (fulfills 8% of forecasted Nvidia CPU revenue in 2023), as a customer for its CPUs and GPUs to provide 20 exaflops of AI performance.</p><p>According to Omdia, 5% of servers shipped had Arm CPUs which is an increase compared to 2.5% in 2020. According to Softbank (OTCPK:SFTBY), the market share of Arm-based CPUs was forecasted to increase to 25% by 2028. We estimated the x86 data center CPU market size based on Intel’s DCG segment had revenues of $22.7 bln with a market share of 94.1% in 2021 based on Passmark. We then estimated the total data center CPU market size based on Arm’s market share of 5% by Omdia to derive the total data center CPU market which we forecasted to grow at a CAGR of 10.2% by 2028. Assuming the share of Arm CPUs increases to 25% by 2028 based on Softbank’s forecast, we derive the total Arm CPU market size of $12.5 bln in 2028.</p><table><tbody><tr><td><p><b>Arm CPU Market Projections ($ bln)</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td><td><p><b>2027F</b></p></td><td><p><b>2028F</b></p></td></tr><tr><td><p>x86 Data Center CPU share</p></td><td><p>95%</p></td><td><p>94%</p></td><td><p>92%</p></td><td><p>90%</p></td><td><p>87%</p></td><td><p>84%</p></td><td><p>80%</p></td><td><p>75%</p></td></tr><tr><td><p>Arm Data Center CPU Share</p></td><td><p>5%</p></td><td><p>6.3%</p></td><td><p>7.9%</p></td><td><p>10.0%</p></td><td><p>12.5%</p></td><td><p>15.8%</p></td><td><p>19.9%</p></td><td><p>25%</p></td></tr><tr><td><p>Arm Data Center CPU Share CAGR</p></td><td></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td></td></tr><tr><td><p>x86 Data Center CPU market size</p></td><td><p>24.1</p></td><td><p>26.2</p></td><td><p>28.4</p></td><td><p>30.6</p></td><td><p>32.8</p></td><td><p>34.8</p></td><td><p>36.4</p></td><td><p>37.6</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>8.7%</p></td><td><p>8.3%</p></td><td><p>7.8%</p></td><td><p>7.0%</p></td><td><p>6.1%</p></td><td><p>4.9%</p></td><td><p>3.1%</p></td></tr><tr><td><p>Arm Data Center CPU market size</p></td><td><p>1.3</p></td><td><p>1.8</p></td><td><p>2.4</p></td><td><p>3.4</p></td><td><p>4.7</p></td><td><p>6.5</p></td><td><p>9.0</p></td><td><p>12.5</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td></tr><tr><td><p><b>Total</b></p></td><td><p><b>25.4</b></p></td><td><p><b>28.0</b></p></td><td><p><b>30.8</b></p></td><td><p><b>34.0</b></p></td><td><p><b>37.4</b></p></td><td><p><b>41.3</b></p></td><td><p><b>45.5</b></p></td><td><p><b>50.1</b></p></td></tr><tr><td><p><b>Growth %</b></p></td><td></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td></tr></tbody></table><p><i>Source: Intel, Omdia, Softbank, BlueWeave Consulting, Khaveen Investments</i></p><p>Companies such as Amazon, Ampere and Huawei had been developing Arm-based CPUs for servers. However, Amazon Graviton processors and Huawei’s Kunpeng chips are used in their own data centers in comparison to Nvidia. Based on a comparison of their specifications against Nvidia, Nvidia’s CPU offer a superior core count (144) compared to Ampere Altra Max (128), Amazon Graviton3 (64) and Huawei Kunpeng 920 (64). In terms of product and software integration, according to Nvidia, the Grace CPU will support its HPC software development kit and a full suite of CUDA libraries.</p><table><tbody><tr><td><p><b>Nvidia Arm CPU Revenue ($ bln)</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td><td><p><b>2027F</b></p></td><td><p><b>2028F</b></p></td></tr><tr><td><p>Share of TAM</p></td><td><p>1%</p></td><td><p>4.8%</p></td><td><p>8.6%</p></td><td><p>12.4%</p></td><td><p>16.2%</p></td><td><p>20%</p></td></tr><tr><td><p>Nvidia CPU Revenue</p></td><td><p>0.31</p></td><td><p>1.63</p></td><td><p>3.22</p></td><td><p>5.12</p></td><td><p>7.37</p></td><td><p>10.02</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>429.0%</p></td><td><p>97.4%</p></td><td><p>58.9%</p></td><td><p>44.0%</p></td><td><p>36.0%</p></td></tr></tbody></table><p><i>Source: Khaveen Investments </i></p><p>All in all, we expect Nvidia’s introduction of its Arm CPU to support its data center segment growth as the company had already secured system hardware partners to build Grace CPU-based systems in H1 2023 and supercomputer customers. Additionally, we believe the company could be supported by its performance advantage with its 144 core CPU which is higher than its competitors as well as integrated with its other AI software.</p><p>To project Nvidia’s CPU revenue, we assumed its share to rise 20% of our estimated market size by 2028 from 1% in 2023 assuming it releases its CPU as planned. We based our assumption of a 20% market share as we believe it could be faced with not only competitors such as Ampere but also AMD as its CFO indicated that it could embrace Arm CPUs and already had used Arm cores in other products such as microcontrollers while Intel plans to make Arm-based chips with its foundry for customers. This translates to average revenue growth of 133.1% for the company.</p><h2><b>Risk: Competition from Intel</b></h2><p>In addition to competition from AMD, Nvidia could face greater competition as Intel introduced its data center GPUs. While Intel (INTC) has not established itself in the discrete GPU market despite leading the total GPU market with its integrated GPUs, we believe the company could pose a significant threat to Nvidia. This is because Intel dominated the data center CPU market with a 94% market share in 2021 based on PassMark. We believe this could provide Intel with an opportunity to leverage its relationships with key data center customers with cross-selling opportunities. That said, as covered in our previous analysis, we also expect Advanced Micro Devices (AMD) to gain market share against Intel with its performance competitive advantages from its CPU portfolio.</p><h2><b>Valuation</b></h2><p>We summarized our revenue projections for the company’s Data Center segment in the table below. Whereas for its other segments, we retained our projections based on our previous analysis. Compared to our previous analysis, our revised revenue projections have a higher average revenue growth forecast of 28.3% compared to 23.4% in our previous analysis driven by higher revenue growth in its Data Center segment at an average of 33.6% compared to 21.9% previously.</p><table><tbody><tr><td><p><b>Nvidia Revenue Projections ($ bln)</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td></tr><tr><td><p>Gaming</p></td><td><p>12,462</p></td><td><p>15,953</p></td><td><p>20,421</p></td><td><p>26,141</p></td><td><p>33,463</p></td></tr><tr><td><p>Professional Visualization</p></td><td><p>2,111</p></td><td><p>2,318</p></td><td><p>2,545</p></td><td><p>2,794</p></td><td><p>3,068</p></td></tr><tr><td><p>Data Center</p></td><td><p>10,613</p></td><td><p>13,632</p></td><td><p>18,051</p></td><td><p>24,606</p></td><td><p>33,858</p></td></tr><tr><td><p>Automotive</p></td><td><p>566</p></td><td><p>691</p></td><td><p>842</p></td><td><p>1,028</p></td><td><p>1,254</p></td></tr><tr><td><p>OEM and Other</p></td><td><p>1,162</p></td><td><p>1,162</p></td><td><p>1,162</p></td><td><p>1,162</p></td><td><p>1,162</p></td></tr><tr><td><p><b>Total</b></p></td><td><p><b>26,914</b></p></td><td><p><b>33,755</b></p></td><td><p><b>43,022</b></p></td><td><p><b>55,731</b></p></td><td><p><b>72,806</b></p></td></tr><tr><td><p><b>Growth %</b></p></td><td><p><b>61.4%</b></p></td><td><p><b>25.4%</b></p></td><td><p><b>27.5%</b></p></td><td><p><b>29.5%</b></p></td><td><p><b>30.6%</b></p></td></tr></tbody></table><p><i>Source: Nvidia, Khaveen Investments </i></p><p>We valued the company based on a DCF analysis as we continue to expect it to generate positive FCFs. We updated our terminal value of the average chipmaker EV/EBITDA to 18.44x from 23.9x previously.</p><p></p><p><img src=\"https://static.tigerbbs.com/e00c22eaa47730a579e234e710016b3b\" tg-width=\"640\" tg-height=\"360\" referrerpolicy=\"no-referrer\"/></p><p>SeekingAlpha, Khaveen Investments</p><p>Based on a discount rate of 13.3% (company’s WACC), our model shows its shares are undervalued by 99.58%.</p><p><img src=\"https://static.tigerbbs.com/60d370c61b912473ae428c795c9be999\" tg-width=\"640\" tg-height=\"360\" referrerpolicy=\"no-referrer\"/></p><p>Khaveen Investments</p><h2><b>Verdict</b></h2><p>To conclude, we expect the company’s data center segment’s segment outlook to be supported by its presence across the 6 data center classes including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI with its broad hardware solutions and partnerships with key customers. Additionally, with its full stack of AI solutions, we expect the company to leverage its competitiveness to expand with its Enterprise AI software with an estimated revenue opportunity of $55 bln by 2028. Lastly, with the planned launch of its Arm CPU by 2023, we forecasted its revenue opportunity of $10 bln by 2028 based on a 20% market share assumption.</p><p>Overall, we revised our revenue growth projections for the company with a higher average of 28.3% compared to 23.4% previously driven by higher data center segment growth from 21.9% to 33.6%. However, we obtained a lower price target with a lower EV/EBITDA average of 18.44x from 23.4x previously as well as a higher discount rate. Though, Nvidia’s stock price had declined by 51% YTD which we believe presents an attractive upside for the company. Overall, we rate the company as a <i>Strong Buy</i> with a target price of <i>$289.85.</i></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Nvidia: Time To Buy The King Of Data Centers</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nNvidia: Time To Buy The King Of Data Centers\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-07-09 11:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4522089-nvidia-time-to-buy-the-king-of-data-centers><strong>Seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Nvidia Corporation's (NASDAQ:NVDA) data center segment has overtaken its Gaming segment to become its largest segment, in its Q1 FY2023, growing robustly by 83% YoY. Based on the company’s breakdown ...</p>\n\n<a href=\"https://seekingalpha.com/article/4522089-nvidia-time-to-buy-the-king-of-data-centers\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://seekingalpha.com/article/4522089-nvidia-time-to-buy-the-king-of-data-centers","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2249893579","content_text":"Nvidia Corporation's (NASDAQ:NVDA) data center segment has overtaken its Gaming segment to become its largest segment, in its Q1 FY2023, growing robustly by 83% YoY. Based on the company’s breakdown of its data center business across 6 data center classes, we examined its product offering that caters to these customers and determined the outlook of its data center business segment as a whole.Moreover, we looked into the company’s product offerings of its GPUs and software to offer the full stack for data centers and how it is integrating AI and software functionalities to build on its data center leadership.As it recently introduced its Arm CPU products for data centers, we analyzed the Arm CPU market and the players within, and projected its share vs x86 processors. Based on this, we estimated the market opportunity for Nvidia and its revenue growth.Dominating Data Centers Across All 6 ClassesNvidia’s data center segment has become its largest segment accounting for 45% of revenues in Q1 FY2023 and had the highest growth CAGR of 73.8% in the past 5 years. Its computing platform consists of hardware and software such as GPUs, DPUs, interconnects and systems, CUDA programming model and software libraries. According to Nvidia’s CEO, the company listed 6 types of data center classes: supercomputing centers, enterprise computing data centers, hyperscalers, cloud computing and two new classes which are FactoryAI and edge data centers. In the table below, we compiled the different data center classes by their market sizes, forecast CAGR, location, applications, users, relative compute power and footprint.Data CenterMarket Size ($ bln)Market Forecast CAGRComputer PowerLocationFootprint ('size')Types of Users/ OperatorsApplicationsSupercomputing Data Center6.516.2%Very HighSelf-operatedLargeGovernments, aerospace, petroleum, and automotive industriesHPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion researchHyperscale Data Center32.214.9%HighSelf-operatedVery LargeLarge multinational companies, cloud service providersColocation, cryptography, genome processing, and 3D renderingEnterprise Data Center84.212.0%LowSelf-operatedMediumEnterprises (Various industries)Company networks and systems (Various industries)Cloud Computing Data Center358.816.4%HighThird-partyVery LargeCloud service providersCloud-native application development, storage (IaaS), streaming, data analyticsEdge Data Center7.917.0%MediumThird-partyMediumEdge Data Center Companies, Telco, Healthcare5G, AV, Telemedicine, data analytics,Factory AI Data Center2.347.9%MediumSelf-operatedLowManufacturersSupply Chain Optimization, Predictive Maintenance, Process ControlSource: Research and Markets, Nvidia, Khaveen InvestmentsTo illustrate the market sizes of each data center class, we compiled the market revenues and forecast CAGR of each data center class based on Research and Markets. Based on the table above, cloud computing is the largest ($359 bln) as it consists of major cloud service providers including AWS, Azure and Google Cloud. this is followed by Enterprise Data Centers. Overall, the combined market size of the 6 data center classes is worth around $491 bln. However, the new data center classes, Factory AI and edge data center, have the highest CAGR of 47.9% and 17% respectively.Supercomputing Data CenterFirstly, supercomputing data centers which are computers with much higher computational capacities supporting intensive applications such asHPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion research.In 2021, Nvidia claimed that 70% of the TOP500 supercomputers in the world are powered by its accelerators and it's even higher at 90% for new systems. The company had remarkable growth in this area over the past 10 years from 34% share of the TOP500 systems in 2011. For example, the company’s GPUs power the fastest supercomputers in the U.S. and Europe like the Oak Ridge National Labs’ Summit, the world’s smartest supercomputer. The company has recently introduced its H100 GPUs based on its Hopper architecture which follows its A100 GPUs based on its Ampere architecture. Supercomputers are equipped with a large number of GPUs, previously Nvidia stated that 6 supercomputers used a total of 13,000 A100 GPUs.Enterprise Data CenterBesides supercomputers, the company also targets enterprise systems. According to Cisco, compared to other types of data centers, enterprise data centers are built and operated by companies within their premises and optimized for their users to support their data and storage requirements by companies in various industries such as IT, financial services, and healthcare. However, in comparison, hyperscale data centers have higher compute capacities. Based on Nvidia, its NVIDIA-Certified Systemenable enterprises to confidently deploy hardware solutions that securely and optimally run their modern accelerated workloads.The company’s Nvidia-certified data center partners include the top server providers such as Lenovo (OTCPK:LNVGY), Fujitsu (OTCPK:FJTSF), Dell (DELL), Cisco (CSCO), and HPE (HPE), with a combined market share of over 38% of the server market based on the IDC. Also, the company introduced its EGX for enterprise as well as edge computing.Hyperscale Data CentersMoreover, Nvidia also targets hyperscale data centers which are massive facilities exceeding 5,000 servers and 10,000 square feet according to the IDC. They are “designed to support robust and scalable applications” due to their agility to scale up or down to meet customers’ demands by adding more computing power to their infrastructure. For example, companies which operate these facilities include Yahoo, Facebook (META), Microsoft (MSFT), Apple (AAPL), Google (GOOG, GOOGL) and Amazon (AMZN). According to Vertiv, there were more than 600 hyperscale data centers in 2021. Nvidia has “ready-to-use system reference designs” based on its GPUs such as its HGX product for hyperscale and supercomputing data centers.Cloud Computing Additionally, the company also underline cloud computing data centers, allowing customers and developers to leverage Nvidia’s hardware through the cloud to support applications such as advanced medical imaging, automated customer service, and cinematic-quality gaming. According to Microsoft, cloud computing is the delivery of computing services over the internet with services such as IaaS, PaaS and SaaS with use cases including creating cloud-native applications, streaming and data analytics. Besides that, Nvidia has partnerships with major cloud service providers including Amazon, the market leader in the cloud infrastructure market with a 33% market share in 2021 according to Canalys, trailed by Microsoft Azure, Google Cloud and Alibaba Cloud (BABA, OTCPK:BABAF). These cloud providers are also part of the company’s partner ecosystem.And now, with NVIDIA’s GPU-accelerated solutions available through all top cloud platforms, innovators everywhere can access massive computing power on demand and with ease. – NvidiaAI Factory In addition to these 4 classes of data centers, the company also highlighted the first new data center class which is “AI Factory.” According to CEO Jensen Huang, manufacturers are becoming “intelligence manufacturers” processing and refining data. The company highlighted its GPU-accelerated computing for applications leveraging AI including Supply Chain Optimization, Predictive Maintenance and Process Control for operations optimization improved time-to-insight and lower cost. According to Nvidia’s CEO, the company highlighted 150,000 factories refining data, creating models and becoming intelligence manufacturers. The company has its AGX platform for autonomous machines. For example, one customer of the company is BMW which is using its hardware and software for its robotics and machinery.The idea is to equip BMW’s factory with all manner of Nvidia hardware. First, the company will use Nvidia’s DGX and Isaac simulation software to train and test the robots; Nvidia Quadro ray-tracing GPUs will render synthetic machine parts. – Nvidia CEOEdge Data CenterLastly, the company also highlighted edge data centers which are smaller data centers that are closer to end-users for lower latency and greater speed benefits according to Nlyte Software. Nvidia highlighted that edge data centers span a wide range of applications such as “warehouse, retail stores, cities, public places, cars, robots”. Compared to cloud computing where data is sent from the edge to the cloud, edge computing refers to data computed right at the edge. The company’s EGX for enterprise and edge computing. Based on the company, its NVIDIA EGX and Jetson solutionsaccelerate the most powerful edge computing systems to power diverse applications, including industrial inspection, predictive maintenance, factory robotics, and autonomous machines.Furthermore, we updated our revenue projection for Nvidia’s data center segment in the table below from our previous analysis based on its data center revenue share of the total cloud market capex. To derive this, we forecasted the total cloud market capex based on our projection of the total cloud market from data volume growth forecasts.Volume of Data Worldwide201720182019202020212022F2023F2024F2025F2026FCloud Infrastructure Market Revenues ($ bln)46.56996129.5178.0248.1349.7485.7679.8951.4Cloud Infrastructure Market Revenue Growth %45%48%39%35%37%39%41%39%40%40%Data Volume (ZB)26334164.27997120147181222.9Data Volume Growth %44%27%24%57%23%23%24%23%23%23%Total Market Capex (Adjusted)54.382.888.0125.7163.9209271344442567Total Market Capex Growth %30%52%6%43%30%28%29%27%28%28%Nvidia Data Center Share of Capex Spend3.6%3.5%3.4%5.3%6.5%6.5%6.5%6.5%6.5%6.5%Nvidia Data Center Revenues1.92.93.06.710.613.617.522.328.636.7Nvidia Data Center Revenues Growth %132.5%51.8%1.8%124.5%58.5%27.7%29.2%27.3%28.3%28.3%Source: Nvidia, Company Data, Khaveen Investments Overall, we believe the company’s data center segment outlook is supported by its presence across the 6 types of data centers underlined including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI. Besides a broad product portfolio catering to each data center class, the company also has partnerships with key customers such as major server vendors and cloud service providers. Based on our revenue projection, we derived an average revenue growth rate of 28.2% for its segment through 2026.Integrating Software and AI into Data CentersA data center consists of chips including GPU, central processing unit (CPU), and field-programmable gate array (FPGA) which are some of the commonly used data center chips according to imarc. According to the company, it highlighted the greater compute capabilities of GPUs used as accelerators in data centers running tens of thousands of threads compared to CPUs. According to Network World,GPUs are better suited than CPUs for handling many of the calculations required by AI and machine learning in enterprise data centers and hyperscaler networks.According to Ark Invest, CPUs comprised 83% of data center budgets in 2020 but were forecasted to decline to 40% by 2030 as GPUs become the dominant processor.In its annual report, Nvidia claims to have a platform strategy that brings its hardware, software, algorithms and software libraries together. Furthermore, the company highlighted the introduction of its CUDA programming model which enabled its GPUs with parallel processing capabilities for intensive compute workloads such as deep learning and machine learning.With our introduction of the CUDA programming model in 2006, we opened the parallel processing capabilities of our GPU for general-purpose computing. This approach significantly accelerates the most demanding high-performance computing, or HPC, applications in fields such as aerospace, bioscience research, mechanical and fluid simulations, and energy exploration. Today, our GPUs and networking accelerate many of the fastest supercomputers across the world. In addition, the massively parallel compute architecture of our GPUs and associated software are well suited for deep learning and machine learning, powering the era of AI. While traditional CPU-based approaches no longer deliver advances on the pace described by Moore’s Law, we deliver GPU performance improvements on a pace ahead of Moore’s Law, giving the industry a path forward. – Nvidia 2022 Annual ReportNvidiaIn addition, as seen in the chart above, the company claims to provide a full stack of AI solutions. Besides its hardware, Nvidia has a collection of AI software solutions and development kits for customers and software developers including Clara Mionai, Riva, Maxine, Nemo and Merlin. Moreover, according to the company, it hasover 450 NVIDIA AI libraries and software development kits to serve industries such as gaming, design, quantum computing, AI, 5G/6G, and robotics.Furthermore, its products support various AI software frameworks and software such as RAPIDS, TensorFlow and PyTorch. As Nvidia continued to build up its AI stack, the company’s patents had been steadily increasing since 2018 to 1,174 in 2021 based on Global Data. In comparison, AMD’s patents had also been rising since 2017 with a higher number of patents (1,795) while Intel’s patent filings had been declining but have the most number of patents (11,677).Additionally, the company had introduced its standalone enterprise software offering including NVIDIA AI Enterprise which is $1,000 per node and has 25,000 enterprises already using its technology for AI. According to the company, it had a server installed base of 50 mln enterprises and a TAM of $150 bln for its Enterprise AI software based on its Investor Day Presentation. To determine the share of TAM we expect Nvidia to derive, we compared it against AMD and Intel in terms of its breadth of products, AI software integrations, GPU and CPU performance and price. We ranked the best company for each category with a weight of 0.5 followed by 0.3 for the second-best and 0.2 for the last company and calculated its average weight as our assumption for each company’s share of the TAM.Competitive PositioningNvidiaIntelAMDNumber of products754Software AI Integrations21187Average Data Center CPU BenchmarkN/A34,23776,308Average Data Center CPU PriceN/A$ 2,277$ 3,843GPU Performance (TFLOPS)60N/A47.9GPU Price$36,405N/A$ 14,500Competitive PositioningNvidiaIntelAMDNumber of products0.50.30.2Software AI Integrations0.50.30.2Average Data Center CPU Benchmark0.20.50.3Average Data Center CPU Price0.20.50.3GPU Performance (TFLOPS)0.50.20.3GPU Price0.30.20.5Weights0.370.330.30Source: Nvidia, Intel, AMD, WFTech, Khaveen Investments Based on the table, Nvidia has the broadest product breadth between AMD (4) and Intel (5) with 7 products as the company product offerings include GPUs and DPUs as well as reference design systems such as AGX, HGX, EGX and DGX. Also, it is planning to introduce CPUs based on Arm architecture. In comparison, Intel follows behind with its portfolio of ASICs, FPGAs, GPUs, CPUs and Smart NICs while AMD has FPGAs (Xilinx), CPUs, GPUs and DPUs. Furthermore, by referring to these companies’ AI presentation pitch decks and websites, we found that Nvidia has the highest AI software integrations (21) with its broad collection as stated above in addition to its cloud deployment and infrastructure optimization including Nvidia GPU Operator, Network Operator, vGPU, MagnumIO, CUDA-AI and vSphere integration as part of its AI Enterprise package. As Nvidia’s CPU and Intel’s GPU have yet to launch, we ranked it as the lowest with N/A for our calculations.In terms of hardware, we compared Intel and AMD data center CPUs from our previous analysis of Intel where we determined AMD’s performance advantage based on its higher benchmark score but with premium pricing compared to Intel. Additionally, we compared Nvidia’s H100 GPU based on its performance as measured by its TFLOPS specs with a higher maximum of 60 TFLOPS compared to AMD’s Instinct M250. Though, Nvidia’s GPU has a higher estimated price compared to AMD.Nvidia Enterprise AI Software Revenue ($ bln)20212022F2023F2024F2025F2026F2027F2028FMarket TAM150Nvidia Enterprise AI Software0.030.10.20.72.06.118.355Growth %200%200%200%200%200%200%200%Source: Nvidia, Khaveen Investments Overall, we determined that Nvidia edged out Intel and AMD with the highest competitive positioning with an average weightage for Nvidia at 37% which we used as our assumption for its share of the Enterprise AI software TAM. Based on the company’s $150 bln TAM as highlighted from its Investor Day, we estimated its revenue opportunity to be $55 bln growing at a CAGR of 200% from 2021 (calculated based on its average cost of $1,000 and 25,000 existing customers) which we believe is not unreasonable given the expected rise of AI which could contribute $15.7 tln in economic output by 2030 according to PwC.$10 billion Arm CPU Opportunity in Data CentersFurthermore, the company had recently introduced its Arm-based Grace CPU for data centers. In terms of specifications, it features 144 CPU cores, 1TB/s LPDDR5X and is connected coherently over NVLink®-C2C. The company also announced that multiple hardware vendors, including ASUS (OTC:AKCPF), Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn will build Grace-based systems that will start shipping in H1 2023. Additionally, the company had previously secured the Swiss National Supercomputing Centre, which has a budget of around $25 mln (fulfills 8% of forecasted Nvidia CPU revenue in 2023), as a customer for its CPUs and GPUs to provide 20 exaflops of AI performance.According to Omdia, 5% of servers shipped had Arm CPUs which is an increase compared to 2.5% in 2020. According to Softbank (OTCPK:SFTBY), the market share of Arm-based CPUs was forecasted to increase to 25% by 2028. We estimated the x86 data center CPU market size based on Intel’s DCG segment had revenues of $22.7 bln with a market share of 94.1% in 2021 based on Passmark. We then estimated the total data center CPU market size based on Arm’s market share of 5% by Omdia to derive the total data center CPU market which we forecasted to grow at a CAGR of 10.2% by 2028. Assuming the share of Arm CPUs increases to 25% by 2028 based on Softbank’s forecast, we derive the total Arm CPU market size of $12.5 bln in 2028.Arm CPU Market Projections ($ bln)20212022F2023F2024F2025F2026F2027F2028Fx86 Data Center CPU share95%94%92%90%87%84%80%75%Arm Data Center CPU Share5%6.3%7.9%10.0%12.5%15.8%19.9%25%Arm Data Center CPU Share CAGR25.8%25.8%25.8%25.8%25.8%25.8%x86 Data Center CPU market size24.126.228.430.632.834.836.437.6Growth %8.7%8.3%7.8%7.0%6.1%4.9%3.1%Arm Data Center CPU market size1.31.82.43.44.76.59.012.5Growth %38.7%38.7%38.7%38.7%38.7%38.7%38.7%Total25.428.030.834.037.441.345.550.1Growth %10.20%10.20%10.20%10.20%10.20%10.20%10.20%Source: Intel, Omdia, Softbank, BlueWeave Consulting, Khaveen InvestmentsCompanies such as Amazon, Ampere and Huawei had been developing Arm-based CPUs for servers. However, Amazon Graviton processors and Huawei’s Kunpeng chips are used in their own data centers in comparison to Nvidia. Based on a comparison of their specifications against Nvidia, Nvidia’s CPU offer a superior core count (144) compared to Ampere Altra Max (128), Amazon Graviton3 (64) and Huawei Kunpeng 920 (64). In terms of product and software integration, according to Nvidia, the Grace CPU will support its HPC software development kit and a full suite of CUDA libraries.Nvidia Arm CPU Revenue ($ bln)2023F2024F2025F2026F2027F2028FShare of TAM1%4.8%8.6%12.4%16.2%20%Nvidia CPU Revenue0.311.633.225.127.3710.02Growth %429.0%97.4%58.9%44.0%36.0%Source: Khaveen Investments All in all, we expect Nvidia’s introduction of its Arm CPU to support its data center segment growth as the company had already secured system hardware partners to build Grace CPU-based systems in H1 2023 and supercomputer customers. Additionally, we believe the company could be supported by its performance advantage with its 144 core CPU which is higher than its competitors as well as integrated with its other AI software.To project Nvidia’s CPU revenue, we assumed its share to rise 20% of our estimated market size by 2028 from 1% in 2023 assuming it releases its CPU as planned. We based our assumption of a 20% market share as we believe it could be faced with not only competitors such as Ampere but also AMD as its CFO indicated that it could embrace Arm CPUs and already had used Arm cores in other products such as microcontrollers while Intel plans to make Arm-based chips with its foundry for customers. This translates to average revenue growth of 133.1% for the company.Risk: Competition from IntelIn addition to competition from AMD, Nvidia could face greater competition as Intel introduced its data center GPUs. While Intel (INTC) has not established itself in the discrete GPU market despite leading the total GPU market with its integrated GPUs, we believe the company could pose a significant threat to Nvidia. This is because Intel dominated the data center CPU market with a 94% market share in 2021 based on PassMark. We believe this could provide Intel with an opportunity to leverage its relationships with key data center customers with cross-selling opportunities. That said, as covered in our previous analysis, we also expect Advanced Micro Devices (AMD) to gain market share against Intel with its performance competitive advantages from its CPU portfolio.ValuationWe summarized our revenue projections for the company’s Data Center segment in the table below. Whereas for its other segments, we retained our projections based on our previous analysis. Compared to our previous analysis, our revised revenue projections have a higher average revenue growth forecast of 28.3% compared to 23.4% in our previous analysis driven by higher revenue growth in its Data Center segment at an average of 33.6% compared to 21.9% previously.Nvidia Revenue Projections ($ bln)20212022F2023F2024F2025FGaming12,46215,95320,42126,14133,463Professional Visualization2,1112,3182,5452,7943,068Data Center10,61313,63218,05124,60633,858Automotive5666918421,0281,254OEM and Other1,1621,1621,1621,1621,162Total26,91433,75543,02255,73172,806Growth %61.4%25.4%27.5%29.5%30.6%Source: Nvidia, Khaveen Investments We valued the company based on a DCF analysis as we continue to expect it to generate positive FCFs. We updated our terminal value of the average chipmaker EV/EBITDA to 18.44x from 23.9x previously.SeekingAlpha, Khaveen InvestmentsBased on a discount rate of 13.3% (company’s WACC), our model shows its shares are undervalued by 99.58%.Khaveen InvestmentsVerdictTo conclude, we expect the company’s data center segment’s segment outlook to be supported by its presence across the 6 data center classes including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI with its broad hardware solutions and partnerships with key customers. Additionally, with its full stack of AI solutions, we expect the company to leverage its competitiveness to expand with its Enterprise AI software with an estimated revenue opportunity of $55 bln by 2028. Lastly, with the planned launch of its Arm CPU by 2023, we forecasted its revenue opportunity of $10 bln by 2028 based on a 20% market share assumption.Overall, we revised our revenue growth projections for the company with a higher average of 28.3% compared to 23.4% previously driven by higher data center segment growth from 21.9% to 33.6%. However, we obtained a lower price target with a lower EV/EBITDA average of 18.44x from 23.4x previously as well as a higher discount rate. Though, Nvidia’s stock price had declined by 51% YTD which we believe presents an attractive upside for the company. Overall, we rate the company as a Strong Buy with a target price of $289.85.","news_type":1},"isVote":1,"tweetType":1,"viewCount":275,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9073501245,"gmtCreate":1657365253187,"gmtModify":1676535998063,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4087188383113840","authorIdStr":"4087188383113840"},"themes":[],"htmlText":"Like for likes","listText":"Like for likes","text":"Like for likes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9073501245","repostId":"1106697268","repostType":4,"isVote":1,"tweetType":1,"viewCount":508,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052530996,"gmtCreate":1655192547415,"gmtModify":1676535578619,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4087188383113840","authorIdStr":"4087188383113840"},"themes":[],"htmlText":"Yes","listText":"Yes","text":"Yes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052530996","repostId":"2243010692","repostType":4,"isVote":1,"tweetType":1,"viewCount":396,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052597108,"gmtCreate":1655192456904,"gmtModify":1676535578603,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4087188383113840","authorIdStr":"4087188383113840"},"themes":[],"htmlText":"Like for likes&nbsp;","listText":"Like for likes&nbsp;","text":"Like for likes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052597108","repostId":"1185473498","repostType":4,"isVote":1,"tweetType":1,"viewCount":440,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052597967,"gmtCreate":1655192423559,"gmtModify":1676535578603,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4087188383113840","authorIdStr":"4087188383113840"},"themes":[],"htmlText":"Like for likes&nbsp;","listText":"Like for likes&nbsp;","text":"Like for likes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052597967","repostId":"1141525925","repostType":4,"repost":{"id":"1141525925","pubTimestamp":1655164051,"share":"https://ttm.financial/m/news/1141525925?lang=&edition=fundamental","pubTime":"2022-06-14 07:47","market":"us","language":"en","title":"Inflation Data Likely Push Fed to Consider 75 Basis-Point Hike","url":"https://stock-news.laohu8.com/highlight/detail?id=1141525925","media":"Bloomberg","summary":"A 75 basis-point move would be largest hike since 1994Powell previously signaled a half-point hike w","content":"<html><head></head><body><ul><li>A 75 basis-point move would be largest hike since 1994</li><li>Powell previously signaled a half-point hike was probable</li></ul><p>The latest pickups in consumer prices and inflation expectations will probably spur Federal Reserve officials to consider the biggest interest-rate increase since 1994 when they meet this week, after Chair Jerome Powell previously signaled a smaller move was the likely outcome.</p><p>US central bankers conclude a two-day meeting on Wednesday, with a decision due at 2 p.m. in Washington. Powell indicated at his post-meeting press conference in early May that the Fed would move forward with half-point rate hikes in June and July as long as economic data came in as expected. It was an unusually precise steer by the Fed chair.</p><p>But in the past few days, inflation figures have surprised to the high side, pushing investors to increase bets on a 75 basis-point increase at this week’s meeting, pricing in interest-rate futures shows. Those bets hardened on Monday afternoon following a report in the Wall Street Journal suggesting the larger move was now in play.</p><h2>Wall Street</h2><p>Economists at major Wall Street firms were quick to change their calls. Goldman Sachs Group Inc. and Nomura Holdings Inc. both shifted on Monday to forecast 75 basis point hikes this week and at the Fed’s meeting in late July. JPMorgan Chase &amp; Co. also went to 75 basis points at this week’s meeting, joining Barclays Plc and Jefferies, who modified their calls Friday to the larger increase.</p><p>Powell and his colleagues, facing harsh criticism for being slow to remove emergency pandemic stimulus and allowing inflation to climb by the fastest pace in 40 years, have repeatedly said they would do whatever it takes to cool prices. While the Fed chief laid out a baseline of 50 basis-point increases in June and July, he also hedged by saying that that hinged on the economy evolving along the lines that officials expect.</p><p>On Friday morning, data showed the consumer price index rose 8.6% in May from a year earlier, a fresh 40-year high. The figures topped all estimates and underscored a broad-based advance, a sign that price pressures are becoming entrenched in the economy.</p><p>Later in the morning, University of Michigan data showed US consumer sentiment in early June dropped to the lowest on record. Respondents also said they expect inflation of 3.3% over the next five to 10 years, the most since 2008 and up from 3% in May.</p><p>That’s especially concerning for the Fed, which had been taking comfort in the fact that longer-term inflation expectations have held steady. Any de-anchoring of expectations risks price pressures becoming further embedded in the economy, as consumers anticipating higher prices will also demand higher wages. And if companies are paying employees more, they will have to charge higher prices, perpetuating the cycle.</p><p>On Monday, that risk popped up again in a survey from the New York Fed, which showed one-year ahead median inflation expectations climbed in May to 6.6%,tying the highestreading since the survey began in June 2013. However, three-year ahead projections held steady at 3.9%.</p><h2>Tactical Shift</h2><p>Tactically, a 75 basis-point increase would be a communication shift for Powell who has preferred to telegraph moves in advance and embrace gradualism. That strategy has allowed the Fed to lean in to tighter policy but let markets price the risk of going faster or slower as the data rolled in.</p><p>A 75 basis-point increase could boost credibility by showing the Fed’s serious about its inflation credibility. But it also risks confusing markets about what they do next.</p><p>“Once the Fed starts moving in 75s it would be hard to stop, and the combination of this and the Fed’s outcome-based approach to inflation feels like it could be a recipe for recession,” Evercore ISI’s Krishna Guha and Peter Williams wrote in a note to clients.</p><p>A 75 basis-point move could also erode Fed credibility by underscoring how poor the Fed’s forecasting has been in the post-pandemic recovery.</p><p>June’s meeting includes fresh forecasts for rate over the next couple of years. Recently, though, those forecasts have rapidly become obsolete as new data has rolled in.</p></body></html>","source":"lsy1584095487587","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Inflation Data Likely Push Fed to Consider 75 Basis-Point Hike</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nInflation Data Likely Push Fed to Consider 75 Basis-Point Hike\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-06-14 07:47 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.bloomberg.com/news/articles/2022-06-13/inflation-data-likely-push-fed-to-consider-75-basis-point-hike?srnd=premium-asia#xj4y7vzkg><strong>Bloomberg</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>A 75 basis-point move would be largest hike since 1994Powell previously signaled a half-point hike was probableThe latest pickups in consumer prices and inflation expectations will probably spur ...</p>\n\n<a href=\"https://www.bloomberg.com/news/articles/2022-06-13/inflation-data-likely-push-fed-to-consider-75-basis-point-hike?srnd=premium-asia#xj4y7vzkg\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{".IXIC":"NASDAQ Composite",".SPX":"S&P 500 Index",".DJI":"道琼斯"},"source_url":"https://www.bloomberg.com/news/articles/2022-06-13/inflation-data-likely-push-fed-to-consider-75-basis-point-hike?srnd=premium-asia#xj4y7vzkg","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1141525925","content_text":"A 75 basis-point move would be largest hike since 1994Powell previously signaled a half-point hike was probableThe latest pickups in consumer prices and inflation expectations will probably spur Federal Reserve officials to consider the biggest interest-rate increase since 1994 when they meet this week, after Chair Jerome Powell previously signaled a smaller move was the likely outcome.US central bankers conclude a two-day meeting on Wednesday, with a decision due at 2 p.m. in Washington. Powell indicated at his post-meeting press conference in early May that the Fed would move forward with half-point rate hikes in June and July as long as economic data came in as expected. It was an unusually precise steer by the Fed chair.But in the past few days, inflation figures have surprised to the high side, pushing investors to increase bets on a 75 basis-point increase at this week’s meeting, pricing in interest-rate futures shows. Those bets hardened on Monday afternoon following a report in the Wall Street Journal suggesting the larger move was now in play.Wall StreetEconomists at major Wall Street firms were quick to change their calls. Goldman Sachs Group Inc. and Nomura Holdings Inc. both shifted on Monday to forecast 75 basis point hikes this week and at the Fed’s meeting in late July. JPMorgan Chase & Co. also went to 75 basis points at this week’s meeting, joining Barclays Plc and Jefferies, who modified their calls Friday to the larger increase.Powell and his colleagues, facing harsh criticism for being slow to remove emergency pandemic stimulus and allowing inflation to climb by the fastest pace in 40 years, have repeatedly said they would do whatever it takes to cool prices. While the Fed chief laid out a baseline of 50 basis-point increases in June and July, he also hedged by saying that that hinged on the economy evolving along the lines that officials expect.On Friday morning, data showed the consumer price index rose 8.6% in May from a year earlier, a fresh 40-year high. The figures topped all estimates and underscored a broad-based advance, a sign that price pressures are becoming entrenched in the economy.Later in the morning, University of Michigan data showed US consumer sentiment in early June dropped to the lowest on record. Respondents also said they expect inflation of 3.3% over the next five to 10 years, the most since 2008 and up from 3% in May.That’s especially concerning for the Fed, which had been taking comfort in the fact that longer-term inflation expectations have held steady. Any de-anchoring of expectations risks price pressures becoming further embedded in the economy, as consumers anticipating higher prices will also demand higher wages. And if companies are paying employees more, they will have to charge higher prices, perpetuating the cycle.On Monday, that risk popped up again in a survey from the New York Fed, which showed one-year ahead median inflation expectations climbed in May to 6.6%,tying the highestreading since the survey began in June 2013. However, three-year ahead projections held steady at 3.9%.Tactical ShiftTactically, a 75 basis-point increase would be a communication shift for Powell who has preferred to telegraph moves in advance and embrace gradualism. That strategy has allowed the Fed to lean in to tighter policy but let markets price the risk of going faster or slower as the data rolled in.A 75 basis-point increase could boost credibility by showing the Fed’s serious about its inflation credibility. But it also risks confusing markets about what they do next.“Once the Fed starts moving in 75s it would be hard to stop, and the combination of this and the Fed’s outcome-based approach to inflation feels like it could be a recipe for recession,” Evercore ISI’s Krishna Guha and Peter Williams wrote in a note to clients.A 75 basis-point move could also erode Fed credibility by underscoring how poor the Fed’s forecasting has been in the post-pandemic recovery.June’s meeting includes fresh forecasts for rate over the next couple of years. Recently, though, those forecasts have rapidly become obsolete as new data has rolled in.","news_type":1},"isVote":1,"tweetType":1,"viewCount":387,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052595725,"gmtCreate":1655192254467,"gmtModify":1676535578565,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"idStr":"4087188383113840","authorIdStr":"4087188383113840"},"themes":[],"htmlText":"Good","listText":"Good","text":"Good","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052595725","repostId":"2243690068","repostType":4,"repost":{"id":"2243690068","weMediaInfo":{"introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":0,"media_name":"Dow Jones","id":"106","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"pubTimestamp":1655172324,"share":"https://ttm.financial/m/news/2243690068?lang=&edition=fundamental","pubTime":"2022-06-14 10:05","market":"us","language":"en","title":"The S&P 500 Just Confirmed a Bear Market: What Investors Need to Know","url":"https://stock-news.laohu8.com/highlight/detail?id=2243690068","media":"Dow Jones","summary":"Close below 3,837.25 confirms the end of the pandemic bull marketThe bear is back.The S&P 500 on Mon","content":"<html><head></head><body><h2>Close below 3,837.25 confirms the end of the pandemic bull market</h2><p>The bear is back.</p><p>The S&amp;P 500 on Monday confirmed what many investors have been saying for months: The large-cap benchmark is in the grips of a bear market.</p><p>Stocks suffered sharp losses Monday after major benchmarks saw their worst week since January. Much of the weakness was attributed to the Friday reading of the May consumer-price index, which surged to 8.6% year-over-year -- a 40-year high. Investors fear the Federal Reserve will have to raise rates even more aggressively than already expected, risking recession in their effort to tame inflation.</p><p>The S&amp;P 500  fell 151.23 points, or 3.9%, to end at 3,749.63, down 21.8% from its Jan. 3 record close and surpassing the 20% pullback threshold  traditionally used to define a bear market.</p><p>Need to Know: The S&amp;P 500 is clinging to a key support level after Friday&#39;s meltdown, here&#39;s what happens if that fails</p><p>The S&amp;P 500 briefly traded below the bear-market threshold in May, but didn&#39;t close below it. Stocks subsequently bounced, but the rebound has since given way as recession fears have increased.</p><p>The Dow Jones Industrial Average  finished with a loss of 876.05 points, or 2.8%, to finish at 30,516.74, after dropping more than 1,000 points at its session low. A close below 29,439.72 would put the blue-chip gauge into a bear market. The tech-heavy Nasdaq Composite , which slumped into a bear market earlier this year, dropped 4.7% on Monday, leaving it nearly 33% below its Nov. 19, 2021, record close.</p><p>To be sure, many investors and analysts see a 20% pullback as an overly formal if not outdated metric, arguing that stocks have long been behaving in bearlike fashion.</p><p>Note that the S&amp;P 500&#39;s finish on Monday means the start of the bear market is backdated the Jan. 3 peak. A bear market is declared over once the S&amp;P 500 has risen 20% from a low.</p><p>How have stocks behaved once a bear market has been confirmed? History shows that usually more pain was in store.</p><p>There have been 17 bear -- or near-bear-- markets since World War II, said Ryan Detrick, chief market strategist for LPL Financial, in a May note. Generally speaking, the S&amp;P 500 has fallen further once a bear market begins. And, he said, bear markets have, on average, lasted about a year, producing an average peak-to-trough decline of just shy of 30%. (see table below).</p><p>Beyond the averages, there&#39;s a lot of variability in the length and depth of past bear markets. The steepest fall, a peak-to-trough decline of nearly 57%, occurred in the 17 months that marked the 17-month bear market that accompanied the 2007-2009 financial crisis. The longest was a 48.2% drop that ran for nearly 21 months in 1973-74. The shortest was the nearly 34% drop that took place over just 23 trading sessions as the onset of the COVID-19 pandemic sparked a global rout that bottomed out on March 23, 2020, and marked the start of the current bull market.</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>The S&P 500 Just Confirmed a Bear Market: What Investors Need to Know</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nThe S&P 500 Just Confirmed a Bear Market: What Investors Need to Know\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Dow Jones </p>\n<p class=\"h-time\">2022-06-14 10:05</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><h2>Close below 3,837.25 confirms the end of the pandemic bull market</h2><p>The bear is back.</p><p>The S&amp;P 500 on Monday confirmed what many investors have been saying for months: The large-cap benchmark is in the grips of a bear market.</p><p>Stocks suffered sharp losses Monday after major benchmarks saw their worst week since January. Much of the weakness was attributed to the Friday reading of the May consumer-price index, which surged to 8.6% year-over-year -- a 40-year high. Investors fear the Federal Reserve will have to raise rates even more aggressively than already expected, risking recession in their effort to tame inflation.</p><p>The S&amp;P 500  fell 151.23 points, or 3.9%, to end at 3,749.63, down 21.8% from its Jan. 3 record close and surpassing the 20% pullback threshold  traditionally used to define a bear market.</p><p>Need to Know: The S&amp;P 500 is clinging to a key support level after Friday&#39;s meltdown, here&#39;s what happens if that fails</p><p>The S&amp;P 500 briefly traded below the bear-market threshold in May, but didn&#39;t close below it. Stocks subsequently bounced, but the rebound has since given way as recession fears have increased.</p><p>The Dow Jones Industrial Average  finished with a loss of 876.05 points, or 2.8%, to finish at 30,516.74, after dropping more than 1,000 points at its session low. A close below 29,439.72 would put the blue-chip gauge into a bear market. The tech-heavy Nasdaq Composite , which slumped into a bear market earlier this year, dropped 4.7% on Monday, leaving it nearly 33% below its Nov. 19, 2021, record close.</p><p>To be sure, many investors and analysts see a 20% pullback as an overly formal if not outdated metric, arguing that stocks have long been behaving in bearlike fashion.</p><p>Note that the S&amp;P 500&#39;s finish on Monday means the start of the bear market is backdated the Jan. 3 peak. A bear market is declared over once the S&amp;P 500 has risen 20% from a low.</p><p>How have stocks behaved once a bear market has been confirmed? History shows that usually more pain was in store.</p><p>There have been 17 bear -- or near-bear-- markets since World War II, said Ryan Detrick, chief market strategist for LPL Financial, in a May note. Generally speaking, the S&amp;P 500 has fallen further once a bear market begins. And, he said, bear markets have, on average, lasted about a year, producing an average peak-to-trough decline of just shy of 30%. (see table below).</p><p>Beyond the averages, there&#39;s a lot of variability in the length and depth of past bear markets. The steepest fall, a peak-to-trough decline of nearly 57%, occurred in the 17 months that marked the 17-month bear market that accompanied the 2007-2009 financial crisis. The longest was a 48.2% drop that ran for nearly 21 months in 1973-74. The shortest was the nearly 34% drop that took place over just 23 trading sessions as the onset of the COVID-19 pandemic sparked a global rout that bottomed out on March 23, 2020, and marked the start of the current bull market.</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"161125":"标普500","513500":"标普500ETF",".SPX":"S&P 500 Index","SPXU":"三倍做空标普500ETF","IVV":"标普500指数ETF","OEF":"标普100指数ETF-iShares","OEX":"标普100","SDS":"两倍做空标普500ETF","BK4559":"巴菲特持仓","BK4581":"高盛持仓","SSO":"两倍做多标普500ETF","BK4534":"瑞士信贷持仓","BK4504":"桥水持仓","SPY":"标普500ETF","UPRO":"三倍做多标普500ETF","BK4550":"红杉资本持仓","SH":"标普500反向ETF"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2243690068","content_text":"Close below 3,837.25 confirms the end of the pandemic bull marketThe bear is back.The S&P 500 on Monday confirmed what many investors have been saying for months: The large-cap benchmark is in the grips of a bear market.Stocks suffered sharp losses Monday after major benchmarks saw their worst week since January. Much of the weakness was attributed to the Friday reading of the May consumer-price index, which surged to 8.6% year-over-year -- a 40-year high. Investors fear the Federal Reserve will have to raise rates even more aggressively than already expected, risking recession in their effort to tame inflation.The S&P 500  fell 151.23 points, or 3.9%, to end at 3,749.63, down 21.8% from its Jan. 3 record close and surpassing the 20% pullback threshold  traditionally used to define a bear market.Need to Know: The S&P 500 is clinging to a key support level after Friday's meltdown, here's what happens if that failsThe S&P 500 briefly traded below the bear-market threshold in May, but didn't close below it. Stocks subsequently bounced, but the rebound has since given way as recession fears have increased.The Dow Jones Industrial Average  finished with a loss of 876.05 points, or 2.8%, to finish at 30,516.74, after dropping more than 1,000 points at its session low. A close below 29,439.72 would put the blue-chip gauge into a bear market. The tech-heavy Nasdaq Composite , which slumped into a bear market earlier this year, dropped 4.7% on Monday, leaving it nearly 33% below its Nov. 19, 2021, record close.To be sure, many investors and analysts see a 20% pullback as an overly formal if not outdated metric, arguing that stocks have long been behaving in bearlike fashion.Note that the S&P 500's finish on Monday means the start of the bear market is backdated the Jan. 3 peak. A bear market is declared over once the S&P 500 has risen 20% from a low.How have stocks behaved once a bear market has been confirmed? History shows that usually more pain was in store.There have been 17 bear -- or near-bear-- markets since World War II, said Ryan Detrick, chief market strategist for LPL Financial, in a May note. Generally speaking, the S&P 500 has fallen further once a bear market begins. And, he said, bear markets have, on average, lasted about a year, producing an average peak-to-trough decline of just shy of 30%. (see table below).Beyond the averages, there's a lot of variability in the length and depth of past bear markets. The steepest fall, a peak-to-trough decline of nearly 57%, occurred in the 17 months that marked the 17-month bear market that accompanied the 2007-2009 financial crisis. The longest was a 48.2% drop that ran for nearly 21 months in 1973-74. The shortest was the nearly 34% drop that took place over just 23 trading sessions as the onset of the COVID-19 pandemic sparked a global rout that bottomed out on March 23, 2020, and marked the start of the current bull market.","news_type":1},"isVote":1,"tweetType":1,"viewCount":269,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"hots":[{"id":9073501245,"gmtCreate":1657365253187,"gmtModify":1676535998063,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4087188383113840","idStr":"4087188383113840"},"themes":[],"htmlText":"Like for likes","listText":"Like for likes","text":"Like for likes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9073501245","repostId":"1106697268","repostType":4,"repost":{"id":"1106697268","pubTimestamp":1657337354,"share":"https://ttm.financial/m/news/1106697268?lang=&edition=fundamental","pubTime":"2022-07-09 11:29","market":"hk","language":"en","title":"NIO: June Deliveries Show Growth Making A Comeback","url":"https://stock-news.laohu8.com/highlight/detail?id=1106697268","media":"Seeking Alpha","summary":"SummaryAfter months of weakness, NIO’s deliveries soared back strongly in June.ET7 sedan deliveries increased 155.7% month over month and now represent a third of all of NIO's product deliveries.ET5 a","content":"<html><head></head><body><p><b>Summary</b></p><ul><li>After months of weakness, NIO’s deliveries soared back strongly in June.</li><li>ET7 sedan deliveries increased 155.7% month over month and now represent a third of all of NIO&#39;s product deliveries.</li><li>ET5 and ET7 production are set to exceed volume production of the ES6 this year.</li></ul><p>NIO&#39;s (NYSE:NIO) first-quarter production and delivery performance was greatly impacted by a variety of factors, including Chinese holidays and COVID-related shutdowns that limited factory output levels. In June, however, NIO experienced a surge in deliveries due to factories coming back online and accelerating demand for NIO’s first sedan product, the ET7. While COVID-19 shutdowns remain a significant risk factor going forward, a recovery in delivery volumes could drive an upwards revaluation of NIO’s shares.</p><p><b>Why NIO’s growth will be determined by sedan production going forward</b></p><p>NIO submitted its delivery card for June last week which revealed that the electric vehicle manufacturer delivered 12,961 electric vehicles, showing 60.3% year-over-year growth. On a month-over-month basis, NIO’s deliveries increased a massive 84.5% which was the fastest growth rate when compared against rival companies XPeng (XPEV) and Li Auto (LI). XPeng&#39;s month-over-month delivery growth rate was 51.1% while Li Auto saw 13.3% month-over-month growth.</p><p>XPeng, which currently has the fastest year-over-year delivery growth of the Top Three electric vehicle manufacturers delivered the most EVs last month: 15,295, showing 133% growth. Li Auto delivered 13,024 Li ONE sport utility vehicles in June, showing 68.9% year-over-year growth.</p><table><tbody><tr><td><p>Deliveries</p></td><td><p>April</p></td><td><p>April Y/Y Growth</p></td><td><p>May</p></td><td><p>May Y/Y Growth</p></td><td><p>June</p></td><td><p>June Y/Y Growth</p></td></tr><tr><td><p>NIO</p></td><td><p>5,074</p></td><td><p>-28.6%</p></td><td><p>7,024</p></td><td><p>4.7%</p></td><td><p>12,961</p></td><td><p>60.3%</p></td></tr><tr><td><p>XPEV</p></td><td><p>9,002</p></td><td><p>75.0%</p></td><td><p>10,125</p></td><td><p>78.0%</p></td><td><p>15,295</p></td><td><p>133.0%</p></td></tr><tr><td><p>LI</p></td><td><p>4,167</p></td><td><p>-24.8%</p></td><td><p>11,496</p></td><td><p>165.9%</p></td><td><p>13,024</p></td><td><p>68.9%</p></td></tr></tbody></table><p>(Source: Author)</p><p>NIO’s delivery card for June contained further evidence that sedan products are going to be NIO’s future. The electric vehicle company delivered 5,100 ES6s, 1,828 EC6s and 1,684 ES8s which are all sport utility vehicles. Additionally, NIO delivered a massive 4,349 ET7s, the firm’s first sedan product that started to sell in China only in March.</p><p>NIO’s delivery growth in June has been driven by two models especially: The ET7 which has seen month-over-month delivery growth of a massive 154.8% and the ES6 which saw a delivery increase of 73.7% on a monthly basis. NIO’s ES6 model still has the largest delivery share (currently 39.3%) and NIO produces by far the largest number of SUVs in the ES6 product line. But because of the surge in demand for electric vehicle sedans, going forward, the ET7 is set to replace NIO’s ES6 as the most important vehicle in NIO’s product portfolio. With NIO’s ET5 deliveries expected to start in September, the electric vehicle start-up could generate about half of its deliveries and sales from sedans, not SUVs, by year-end.</p><p>The share of ET7 deliveries has consistently increased throughout the second-quarter as well: in April, May and June, the delivery shares of the ET7 were 13.7%, 24.3% and 33.6%. Considering that NIO will add sedan volume through the ET5, especially in the fourth quarter, sedan deliveries are likely going to be the biggest driver for NIO’s delivery growth in the second half of 2022 and beyond.</p><p><b>NIO has long-term potential, but short-term setbacks should be expected</b></p><p>NIO’s valuation today is much cheaper than a year ago. During the pandemic, shares of NIO traded as high as $65. But investors appear to have stopped caring much about NIO’s delivery growth prospects lately which is understandable considering that EV deliveries have slowed down industry-wide in the first quarter. While short-term setbacks have to be expected, especially regarding new COVID-19 outbreaks in China, NIO’s growth prospects are attractive in the long term.</p><p>NIO is expected to grow revenues 60% this year to $9.07B, indicating a price-to-sales ratio of 3.8X. The forward P-S ratio, based on expected sales of $15.96B, implies a P-S ratio of 2.2X and revenue growth of 76%... so the market even expects an acceleration in revenue growth in FY 2023.</p><p><img src=\"https://static.tigerbbs.com/4f8783ef7161e7a0ff94ffa153c81a2a\" tg-width=\"635\" tg-height=\"450\" referrerpolicy=\"no-referrer\"/>Data by YCharts</p><p><b>Risks with NIO</b></p><p>The biggest risk for NIO, as I see it, is a volatile short-term delivery pattern that makes it hard for the market to predict NIO’s delivery potential with any kind of accuracy. COVID-19 shutdowns are still a threat to electric vehicle manufacturers as well because they could impact manufacturing hubs that produce electric vehicles or dampen demand for NIO’s products. Xi’an, a city of 13M, was partially shut down on Wednesday after a few cases of a new COVID-19 variant have been detected. China’s heavy-handed approach to mitigating the spread of COVID-19 and its variants is a big risk for NIO’s delivery potential as well as the stock in the short term. What would change my mind about NIO is if delivery growth slowed down and the firm&#39;s sedan ramp started to disappoint.</p><p><b>Final thoughts</b></p><p>NIO’s June ramp in production and deliveries was surprisingly good. The surge in ET7 deliveries is the key take-away for investors, because deliveries started only three months ago and sedans now already account for a third of NIO’s delivery volume. Considering that ET5 deliveries are set to start in September, I believe NIO’s long-term delivery potential, especially in the sedan market, is underrated. However, since NIO faces uncertain short-term delivery prospects due to new COVID-19 outbreaks in China, I have a neutral opinion on NIO.</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>NIO: June Deliveries Show Growth Making A Comeback</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nNIO: June Deliveries Show Growth Making A Comeback\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-07-09 11:29 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4522180-nio-growth-is-making-a-comeback?source=content_type%3Aall%7Cfirst_level_url%3Aportfolio%7Csection%3Aportfolio_content_unit%7Csection_asset%3Alatest%7Cline%3A58><strong>Seeking Alpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>SummaryAfter months of weakness, NIO’s deliveries soared back strongly in June.ET7 sedan deliveries increased 155.7% month over month and now represent a third of all of NIO's product deliveries.ET5 ...</p>\n\n<a href=\"https://seekingalpha.com/article/4522180-nio-growth-is-making-a-comeback?source=content_type%3Aall%7Cfirst_level_url%3Aportfolio%7Csection%3Aportfolio_content_unit%7Csection_asset%3Alatest%7Cline%3A58\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"09866":"蔚来-SW","NIO.SI":"蔚来","NIO":"蔚来"},"source_url":"https://seekingalpha.com/article/4522180-nio-growth-is-making-a-comeback?source=content_type%3Aall%7Cfirst_level_url%3Aportfolio%7Csection%3Aportfolio_content_unit%7Csection_asset%3Alatest%7Cline%3A58","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1106697268","content_text":"SummaryAfter months of weakness, NIO’s deliveries soared back strongly in June.ET7 sedan deliveries increased 155.7% month over month and now represent a third of all of NIO's product deliveries.ET5 and ET7 production are set to exceed volume production of the ES6 this year.NIO's (NYSE:NIO) first-quarter production and delivery performance was greatly impacted by a variety of factors, including Chinese holidays and COVID-related shutdowns that limited factory output levels. In June, however, NIO experienced a surge in deliveries due to factories coming back online and accelerating demand for NIO’s first sedan product, the ET7. While COVID-19 shutdowns remain a significant risk factor going forward, a recovery in delivery volumes could drive an upwards revaluation of NIO’s shares.Why NIO’s growth will be determined by sedan production going forwardNIO submitted its delivery card for June last week which revealed that the electric vehicle manufacturer delivered 12,961 electric vehicles, showing 60.3% year-over-year growth. On a month-over-month basis, NIO’s deliveries increased a massive 84.5% which was the fastest growth rate when compared against rival companies XPeng (XPEV) and Li Auto (LI). XPeng's month-over-month delivery growth rate was 51.1% while Li Auto saw 13.3% month-over-month growth.XPeng, which currently has the fastest year-over-year delivery growth of the Top Three electric vehicle manufacturers delivered the most EVs last month: 15,295, showing 133% growth. Li Auto delivered 13,024 Li ONE sport utility vehicles in June, showing 68.9% year-over-year growth.DeliveriesAprilApril Y/Y GrowthMayMay Y/Y GrowthJuneJune Y/Y GrowthNIO5,074-28.6%7,0244.7%12,96160.3%XPEV9,00275.0%10,12578.0%15,295133.0%LI4,167-24.8%11,496165.9%13,02468.9%(Source: Author)NIO’s delivery card for June contained further evidence that sedan products are going to be NIO’s future. The electric vehicle company delivered 5,100 ES6s, 1,828 EC6s and 1,684 ES8s which are all sport utility vehicles. Additionally, NIO delivered a massive 4,349 ET7s, the firm’s first sedan product that started to sell in China only in March.NIO’s delivery growth in June has been driven by two models especially: The ET7 which has seen month-over-month delivery growth of a massive 154.8% and the ES6 which saw a delivery increase of 73.7% on a monthly basis. NIO’s ES6 model still has the largest delivery share (currently 39.3%) and NIO produces by far the largest number of SUVs in the ES6 product line. But because of the surge in demand for electric vehicle sedans, going forward, the ET7 is set to replace NIO’s ES6 as the most important vehicle in NIO’s product portfolio. With NIO’s ET5 deliveries expected to start in September, the electric vehicle start-up could generate about half of its deliveries and sales from sedans, not SUVs, by year-end.The share of ET7 deliveries has consistently increased throughout the second-quarter as well: in April, May and June, the delivery shares of the ET7 were 13.7%, 24.3% and 33.6%. Considering that NIO will add sedan volume through the ET5, especially in the fourth quarter, sedan deliveries are likely going to be the biggest driver for NIO’s delivery growth in the second half of 2022 and beyond.NIO has long-term potential, but short-term setbacks should be expectedNIO’s valuation today is much cheaper than a year ago. During the pandemic, shares of NIO traded as high as $65. But investors appear to have stopped caring much about NIO’s delivery growth prospects lately which is understandable considering that EV deliveries have slowed down industry-wide in the first quarter. While short-term setbacks have to be expected, especially regarding new COVID-19 outbreaks in China, NIO’s growth prospects are attractive in the long term.NIO is expected to grow revenues 60% this year to $9.07B, indicating a price-to-sales ratio of 3.8X. The forward P-S ratio, based on expected sales of $15.96B, implies a P-S ratio of 2.2X and revenue growth of 76%... so the market even expects an acceleration in revenue growth in FY 2023.Data by YChartsRisks with NIOThe biggest risk for NIO, as I see it, is a volatile short-term delivery pattern that makes it hard for the market to predict NIO’s delivery potential with any kind of accuracy. COVID-19 shutdowns are still a threat to electric vehicle manufacturers as well because they could impact manufacturing hubs that produce electric vehicles or dampen demand for NIO’s products. Xi’an, a city of 13M, was partially shut down on Wednesday after a few cases of a new COVID-19 variant have been detected. China’s heavy-handed approach to mitigating the spread of COVID-19 and its variants is a big risk for NIO’s delivery potential as well as the stock in the short term. What would change my mind about NIO is if delivery growth slowed down and the firm's sedan ramp started to disappoint.Final thoughtsNIO’s June ramp in production and deliveries was surprisingly good. The surge in ET7 deliveries is the key take-away for investors, because deliveries started only three months ago and sedans now already account for a third of NIO’s delivery volume. Considering that ET5 deliveries are set to start in September, I believe NIO’s long-term delivery potential, especially in the sedan market, is underrated. However, since NIO faces uncertain short-term delivery prospects due to new COVID-19 outbreaks in China, I have a neutral opinion on NIO.","news_type":1},"isVote":1,"tweetType":1,"viewCount":508,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9073501537,"gmtCreate":1657365270629,"gmtModify":1676535998055,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4087188383113840","idStr":"4087188383113840"},"themes":[],"htmlText":"Good","listText":"Good","text":"Good","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9073501537","repostId":"2249893579","repostType":4,"repost":{"id":"2249893579","pubTimestamp":1657337337,"share":"https://ttm.financial/m/news/2249893579?lang=&edition=fundamental","pubTime":"2022-07-09 11:28","market":"us","language":"en","title":"Nvidia: Time To Buy The King Of Data Centers","url":"https://stock-news.laohu8.com/highlight/detail?id=2249893579","media":"Seekingalpha","summary":"Nvidia Corporation's (NASDAQ:NVDA) data center segment has overtaken its Gaming segment to become it","content":"<html><head></head><body><p>Nvidia Corporation&#39;s (NASDAQ:NVDA) data center segment has overtaken its Gaming segment to become its largest segment, in its Q1 FY2023, growing robustly by 83% YoY. Based on the company’s breakdown of its data center business across 6 data center classes, we examined its product offering that caters to these customers and determined the outlook of its data center business segment as a whole.</p><p>Moreover, we looked into the company’s product offerings of its GPUs and software to offer the full stack for data centers and how it is integrating AI and software functionalities to build on its data center leadership.</p><p>As it recently introduced its Arm CPU products for data centers, we analyzed the Arm CPU market and the players within, and projected its share vs x86 processors. Based on this, we estimated the market opportunity for Nvidia and its revenue growth.</p><h2><b>Dominating Data Centers Across All 6 Classes</b></h2><p>Nvidia’s data center segment has become its largest segment accounting for 45% of revenues in Q1 FY2023 and had the highest growth CAGR of 73.8% in the past 5 years. Its computing platform consists of hardware and software such as GPUs, DPUs, interconnects and systems, CUDA programming model and software libraries. According to Nvidia’s CEO, the company listed 6 types of data center classes: supercomputing centers, enterprise computing data centers, hyperscalers, cloud computing and two new classes which are FactoryAI and edge data centers. In the table below, we compiled the different data center classes by their market sizes, forecast CAGR, location, applications, users, relative compute power and footprint.</p><table><tbody><tr><td><p><b>Data Center</b></p></td><td><p><b>Market Size ($ bln)</b></p></td><td><p><b>Market Forecast CAGR</b></p></td><td><p><b>Computer Power</b></p></td><td><p><b>Location</b></p></td><td><p><b>Footprint (&#39;size&#39;)</b></p></td><td><p><b>Types of Users/ Operators</b></p></td><td><p><b>Applications</b></p></td></tr><tr><td><p>Supercomputing Data Center</p></td><td><p>6.5</p></td><td><p>16.2%</p></td><td><p>Very High</p></td><td><p>Self-operated</p></td><td><p>Large</p></td><td><p>Governments, aerospace, petroleum, and automotive industries</p></td><td><p>HPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion research</p></td></tr><tr><td><p>Hyperscale Data Center</p></td><td><p>32.2</p></td><td><p>14.9%</p></td><td><p>High</p></td><td><p>Self-operated</p></td><td><p>Very Large</p></td><td><p>Large multinational companies, cloud service providers</p></td><td><p>Colocation, cryptography, genome processing, and 3D rendering</p></td></tr><tr><td><p>Enterprise Data Center</p></td><td><p>84.2</p></td><td><p>12.0%</p></td><td><p>Low</p></td><td><p>Self-operated</p></td><td><p>Medium</p></td><td><p>Enterprises (Various industries)</p></td><td><p>Company networks and systems (Various industries)</p></td></tr><tr><td><p>Cloud Computing Data Center</p></td><td><p>358.8</p></td><td><p>16.4%</p></td><td><p>High</p></td><td><p>Third-party</p></td><td><p>Very Large</p></td><td><p>Cloud service providers</p></td><td><p>Cloud-native application development, storage (IaaS), streaming, data analytics</p></td></tr><tr><td><p>Edge Data Center</p></td><td><p>7.9</p></td><td><p>17.0%</p></td><td><p>Medium</p></td><td><p>Third-party</p></td><td><p>Medium</p></td><td><p>Edge Data Center Companies, Telco, Healthcare</p></td><td><p>5G, AV, Telemedicine, data analytics,</p></td></tr><tr><td><p>Factory AI Data Center</p></td><td><p>2.3</p></td><td><p>47.9%</p></td><td><p>Medium</p></td><td><p>Self-operated</p></td><td><p>Low</p></td><td><p>Manufacturers</p></td><td><p>Supply Chain Optimization, Predictive Maintenance, Process Control</p></td></tr></tbody></table><p><i>Source: Research and Markets, Nvidia, Khaveen Investments</i></p><p>To illustrate the market sizes of each data center class, we compiled the market revenues and forecast CAGR of each data center class based on Research and Markets. Based on the table above, cloud computing is the largest ($359 bln) as it consists of major cloud service providers including AWS, Azure and Google Cloud. this is followed by Enterprise Data Centers. Overall, the combined market size of the 6 data center classes is worth around $491 bln. However, the new data center classes, Factory AI and edge data center, have the highest CAGR of 47.9% and 17% respectively.</p><h3><b>Supercomputing Data Center</b></h3><p>Firstly, supercomputing data centers which are computers with much higher computational capacities supporting intensive applications such as</p><blockquote>HPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion research.</blockquote><p>In 2021, Nvidia claimed that 70% of the TOP500 supercomputers in the world are powered by its accelerators and it&#39;s even higher at 90% for new systems. The company had remarkable growth in this area over the past 10 years from 34% share of the TOP500 systems in 2011. For example, the company’s GPUs power the fastest supercomputers in the U.S. and Europe like the Oak Ridge National Labs’ Summit, the world’s smartest supercomputer. The company has recently introduced its H100 GPUs based on its Hopper architecture which follows its A100 GPUs based on its Ampere architecture. Supercomputers are equipped with a large number of GPUs, previously Nvidia stated that 6 supercomputers used a total of 13,000 A100 GPUs.</p><h3><b>Enterprise Data Center</b></h3><p>Besides supercomputers, the company also targets enterprise systems. According to Cisco, compared to other types of data centers, enterprise data centers are built and operated by companies within their premises and optimized for their users to support their data and storage requirements by companies in various industries such as IT, financial services, and healthcare. However, in comparison, hyperscale data centers have higher compute capacities. Based on Nvidia, its NVIDIA-Certified System</p><blockquote>enable enterprises to confidently deploy hardware solutions that securely and optimally run their modern accelerated workloads.</blockquote><p>The company’s Nvidia-certified data center partners include the top server providers such as Lenovo (OTCPK:LNVGY), Fujitsu (OTCPK:FJTSF), Dell (DELL), Cisco (CSCO), and HPE (HPE), with a combined market share of over 38% of the server market based on the IDC. Also, the company introduced its EGX for enterprise as well as edge computing.</p><h3><b>Hyperscale Data Centers</b></h3><p>Moreover, Nvidia also targets hyperscale data centers which are massive facilities exceeding 5,000 servers and 10,000 square feet according to the IDC. They are “designed to support robust and scalable applications” due to their agility to scale up or down to meet customers’ demands by adding more computing power to their infrastructure. For example, companies which operate these facilities include Yahoo, Facebook (META), Microsoft (MSFT), Apple (AAPL), Google (GOOG, GOOGL) and Amazon (AMZN). According to Vertiv, there were more than 600 hyperscale data centers in 2021. Nvidia has “ready-to-use system reference designs” based on its GPUs such as its HGX product for hyperscale and supercomputing data centers.</p><h3><b>Cloud Computing </b></h3><p>Additionally, the company also underline cloud computing data centers, allowing customers and developers to leverage Nvidia’s hardware through the cloud to support applications such as advanced medical imaging, automated customer service, and cinematic-quality gaming. According to Microsoft, cloud computing is the delivery of computing services over the internet with services such as IaaS, PaaS and SaaS with use cases including creating cloud-native applications, streaming and data analytics. Besides that, Nvidia has partnerships with major cloud service providers including Amazon, the market leader in the cloud infrastructure market with a 33% market share in 2021 according to Canalys, trailed by Microsoft Azure, Google Cloud and Alibaba Cloud (BABA, OTCPK:BABAF). These cloud providers are also part of the company’s partner ecosystem.</p><blockquote>And now, with NVIDIA’s GPU-accelerated solutions available through all top cloud platforms, innovators everywhere can access massive computing power on demand and with ease. – Nvidia</blockquote><h3><b>AI Factory </b></h3><p>In addition to these 4 classes of data centers, the company also highlighted the first new data center class which is “AI Factory.” According to CEO Jensen Huang, manufacturers are becoming “intelligence manufacturers” processing and refining data. The company highlighted its GPU-accelerated computing for applications leveraging AI including Supply Chain Optimization, Predictive Maintenance and Process Control for operations optimization improved time-to-insight and lower cost. According to Nvidia’s CEO, the company highlighted 150,000 factories refining data, creating models and becoming intelligence manufacturers. The company has its AGX platform for autonomous machines. For example, one customer of the company is BMW which is using its hardware and software for its robotics and machinery.</p><blockquote>The idea is to equip BMW’s factory with all manner of Nvidia hardware. First, the company will use Nvidia’s DGX and Isaac simulation software to train and test the robots; Nvidia Quadro ray-tracing GPUs will render synthetic machine parts. – Nvidia CEO</blockquote><h3><b>Edge Data Center</b></h3><p>Lastly, the company also highlighted edge data centers which are smaller data centers that are closer to end-users for lower latency and greater speed benefits according to Nlyte Software. Nvidia highlighted that edge data centers span a wide range of applications such as “warehouse, retail stores, cities, public places, cars, robots”. Compared to cloud computing where data is sent from the edge to the cloud, edge computing refers to data computed right at the edge. The company’s EGX for enterprise and edge computing. Based on the company, its NVIDIA EGX and Jetson solutions</p><blockquote>accelerate the most powerful edge computing systems to power diverse applications, including industrial inspection, predictive maintenance, factory robotics, and autonomous machines.</blockquote><p>Furthermore, we updated our revenue projection for Nvidia’s data center segment in the table below from our previous analysis based on its data center revenue share of the total cloud market capex. To derive this, we forecasted the total cloud market capex based on our projection of the total cloud market from data volume growth forecasts.</p><table><tbody><tr><td><p><b>Volume of Data Worldwide</b></p></td><td><p><b>2017</b></p></td><td><p><b>2018</b></p></td><td><p><b>2019</b></p></td><td><p><b>2020</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td></tr><tr><td><p>Cloud Infrastructure Market Revenues ($ bln)</p></td><td><p>46.5</p></td><td><p>69</p></td><td><p>96</p></td><td><p>129.5</p></td><td><p>178.0</p></td><td><p>248.1</p></td><td><p>349.7</p></td><td><p>485.7</p></td><td><p>679.8</p></td><td><p>951.4</p></td></tr><tr><td><p>Cloud Infrastructure Market Revenue Growth %</p></td><td><p>45%</p></td><td><p>48%</p></td><td><p>39%</p></td><td><p>35%</p></td><td><p>37%</p></td><td><p>39%</p></td><td><p>41%</p></td><td><p>39%</p></td><td><p>40%</p></td><td><p>40%</p></td></tr><tr><td><p>Data Volume (ZB)</p></td><td><p>26</p></td><td><p>33</p></td><td><p>41</p></td><td><p>64.2</p></td><td><p>79</p></td><td><p>97</p></td><td><p>120</p></td><td><p>147</p></td><td><p>181</p></td><td><p>222.9</p></td></tr><tr><td><p>Data Volume Growth %</p></td><td><p>44%</p></td><td><p>27%</p></td><td><p>24%</p></td><td><p>57%</p></td><td><p>23%</p></td><td><p>23%</p></td><td><p>24%</p></td><td><p>23%</p></td><td><p>23%</p></td><td><p>23%</p></td></tr><tr><td><p>Total Market Capex (Adjusted)</p></td><td><p>54.3</p></td><td><p>82.8</p></td><td><p>88.0</p></td><td><p>125.7</p></td><td><p>163.9</p></td><td><p>209</p></td><td><p>271</p></td><td><p>344</p></td><td><p>442</p></td><td><p>567</p></td></tr><tr><td><p>Total Market Capex Growth %</p></td><td><p>30%</p></td><td><p>52%</p></td><td><p>6%</p></td><td><p>43%</p></td><td><p>30%</p></td><td><p>28%</p></td><td><p>29%</p></td><td><p>27%</p></td><td><p>28%</p></td><td><p>28%</p></td></tr><tr><td><p>Nvidia Data Center Share of Capex Spend</p></td><td><p>3.6%</p></td><td><p>3.5%</p></td><td><p>3.4%</p></td><td><p>5.3%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td><td><p>6.5%</p></td></tr><tr><td><p><b>Nvidia Data Center Revenues</b></p></td><td><p><b>1.9</b></p></td><td><p><b>2.9</b></p></td><td><p><b>3.0</b></p></td><td><p><b>6.7</b></p></td><td><p><b>10.6</b></p></td><td><p><b>13.6</b></p></td><td><p><b>17.5</b></p></td><td><p><b>22.3</b></p></td><td><p><b>28.6</b></p></td><td><p><b>36.7</b></p></td></tr><tr><td><p><b>Nvidia Data Center Revenues Growth %</b></p></td><td><p><b>132.5%</b></p></td><td><p><b>51.8%</b></p></td><td><p><b>1.8%</b></p></td><td><p><b>124.5%</b></p></td><td><p><b>58.5%</b></p></td><td><p><b>27.7%</b></p></td><td><p><b>29.2%</b></p></td><td><p><b>27.3%</b></p></td><td><p><b>28.3%</b></p></td><td><p><b>28.3%</b></p></td></tr></tbody></table><p><i>Source: Nvidia, Company Data, Khaveen Investments </i></p><p>Overall, we believe the company’s data center segment outlook is supported by its presence across the 6 types of data centers underlined including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI. Besides a broad product portfolio catering to each data center class, the company also has partnerships with key customers such as major server vendors and cloud service providers. Based on our revenue projection, we derived an average revenue growth rate of 28.2% for its segment through 2026.</p><h2><b>Integrating Software and AI into Data Centers</b></h2><p>A data center consists of chips including GPU, central processing unit (CPU), and field-programmable gate array (FPGA) which are some of the commonly used data center chips according to imarc. According to the company, it highlighted the greater compute capabilities of GPUs used as accelerators in data centers running tens of thousands of threads compared to CPUs. According to Network World,</p><blockquote>GPUs are better suited than CPUs for handling many of the calculations required by AI and machine learning in enterprise data centers and hyperscaler networks.</blockquote><p>According to Ark Invest, CPUs comprised 83% of data center budgets in 2020 but were forecasted to decline to 40% by 2030 as GPUs become the dominant processor.</p><p>In its annual report, Nvidia claims to have a platform strategy that brings its hardware, software, algorithms and software libraries together. Furthermore, the company highlighted the introduction of its CUDA programming model which enabled its GPUs with parallel processing capabilities for intensive compute workloads such as deep learning and machine learning.</p><blockquote>With our introduction of the CUDA programming model in 2006, we opened the parallel processing capabilities of our GPU for general-purpose computing. This approach significantly accelerates the most demanding high-performance computing, or HPC, applications in fields such as aerospace, bioscience research, mechanical and fluid simulations, and energy exploration. Today, our GPUs and networking accelerate many of the fastest supercomputers across the world. In addition, the massively parallel compute architecture of our GPUs and associated software are well suited for deep learning and machine learning, powering the era of AI. While traditional CPU-based approaches no longer deliver advances on the pace described by Moore’s Law, we deliver GPU performance improvements on a pace ahead of Moore’s Law, giving the industry a path forward. – Nvidia 2022 Annual Report</blockquote><p></p><p><img src=\"https://static.tigerbbs.com/6b967b108b6c19a49afe2a462c51c98b\" tg-width=\"640\" tg-height=\"324\" referrerpolicy=\"no-referrer\"/></p><p>Nvidia</p><p>In addition, as seen in the chart above, the company claims to provide a full stack of AI solutions. Besides its hardware, Nvidia has a collection of AI software solutions and development kits for customers and software developers including Clara Mionai, Riva, Maxine, Nemo and Merlin. Moreover, according to the company, it has</p><blockquote>over 450 NVIDIA AI libraries and software development kits to serve industries such as gaming, design, quantum computing, AI, 5G/6G, and robotics.</blockquote><p>Furthermore, its products support various AI software frameworks and software such as RAPIDS, TensorFlow and PyTorch. As Nvidia continued to build up its AI stack, the company’s patents had been steadily increasing since 2018 to 1,174 in 2021 based on Global Data. In comparison, AMD’s patents had also been rising since 2017 with a higher number of patents (1,795) while Intel’s patent filings had been declining but have the most number of patents (11,677).</p><p>Additionally, the company had introduced its standalone enterprise software offering including NVIDIA AI Enterprise which is $1,000 per node and has 25,000 enterprises already using its technology for AI. According to the company, it had a server installed base of 50 mln enterprises and a TAM of $150 bln for its Enterprise AI software based on its Investor Day Presentation. To determine the share of TAM we expect Nvidia to derive, we compared it against AMD and Intel in terms of its breadth of products, AI software integrations, GPU and CPU performance and price. We ranked the best company for each category with a weight of 0.5 followed by 0.3 for the second-best and 0.2 for the last company and calculated its average weight as our assumption for each company’s share of the TAM.</p><table><tbody><tr><td><p><b>Competitive Positioning</b></p></td><td><p><b>Nvidia</b></p></td><td><p><b>Intel</b></p></td><td><p><b>AMD</b></p></td></tr><tr><td><p>Number of products</p></td><td><p>7</p></td><td><p>5</p></td><td><p>4</p></td></tr><tr><td><p>Software AI Integrations</p></td><td><p>21</p></td><td><p>18</p></td><td><p>7</p></td></tr><tr><td><p>Average Data Center CPU Benchmark</p></td><td><p>N/A</p></td><td><p>34,237</p></td><td><p>76,308</p></td></tr><tr><td><p>Average Data Center CPU Price</p></td><td><p>N/A</p></td><td><p>$ 2,277</p></td><td><p>$ 3,843</p></td></tr><tr><td><p>GPU Performance (TFLOPS)</p></td><td><p>60</p></td><td><p>N/A</p></td><td><p>47.9</p></td></tr><tr><td><p>GPU Price</p></td><td><p>$36,405</p></td><td><p>N/A</p></td><td><p>$ 14,500</p></td></tr><tr><td><p><b>Competitive Positioning</b></p></td><td><p><b>Nvidia</b></p></td><td><p><b>Intel</b></p></td><td><p><b>AMD</b></p></td></tr><tr><td><p>Number of products</p></td><td><p>0.5</p></td><td><p>0.3</p></td><td><p>0.2</p></td></tr><tr><td><p>Software AI Integrations</p></td><td><p>0.5</p></td><td><p>0.3</p></td><td><p>0.2</p></td></tr><tr><td><p>Average Data Center CPU Benchmark</p></td><td><p>0.2</p></td><td><p>0.5</p></td><td><p>0.3</p></td></tr><tr><td><p>Average Data Center CPU Price</p></td><td><p>0.2</p></td><td><p>0.5</p></td><td><p>0.3</p></td></tr><tr><td><p>GPU Performance (TFLOPS)</p></td><td><p>0.5</p></td><td><p>0.2</p></td><td><p>0.3</p></td></tr><tr><td><p>GPU Price</p></td><td><p>0.3</p></td><td><p>0.2</p></td><td><p>0.5</p></td></tr><tr><td><p><b>Weights</b></p></td><td><p><b>0.37</b></p></td><td><p><b>0.33</b></p></td><td><p><b>0.30</b></p></td></tr></tbody></table><p><i>Source: Nvidia, Intel, AMD, WFTech, Khaveen Investments </i></p><p>Based on the table, Nvidia has the broadest product breadth between AMD (4) and Intel (5) with 7 products as the company product offerings include GPUs and DPUs as well as reference design systems such as AGX, HGX, EGX and DGX. Also, it is planning to introduce CPUs based on Arm architecture. In comparison, Intel follows behind with its portfolio of ASICs, FPGAs, GPUs, CPUs and Smart NICs while AMD has FPGAs (Xilinx), CPUs, GPUs and DPUs. Furthermore, by referring to these companies’ AI presentation pitch decks and websites, we found that Nvidia has the highest AI software integrations (21) with its broad collection as stated above in addition to its cloud deployment and infrastructure optimization including Nvidia GPU Operator, Network Operator, vGPU, MagnumIO, CUDA-AI and vSphere integration as part of its AI Enterprise package. As Nvidia’s CPU and Intel’s GPU have yet to launch, we ranked it as the lowest with N/A for our calculations.</p><p>In terms of hardware, we compared Intel and AMD data center CPUs from our previous analysis of Intel where we determined AMD’s performance advantage based on its higher benchmark score but with premium pricing compared to Intel. Additionally, we compared Nvidia’s H100 GPU based on its performance as measured by its TFLOPS specs with a higher maximum of 60 TFLOPS compared to AMD’s Instinct M250. Though, Nvidia’s GPU has a higher estimated price compared to AMD.</p><table><tbody><tr><td><p><b>Nvidia Enterprise AI Software Revenue ($ bln)</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td><td><p><b>2027F</b></p></td><td><p><b>2028F</b></p></td></tr><tr><td><p>Market TAM</p></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><p>150</p></td></tr><tr><td><p>Nvidia Enterprise AI Software</p></td><td><p>0.03</p></td><td><p>0.1</p></td><td><p>0.2</p></td><td><p>0.7</p></td><td><p>2.0</p></td><td><p>6.1</p></td><td><p>18.3</p></td><td><p>55</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td><td><p>200%</p></td></tr></tbody></table><p><i>Source: Nvidia, Khaveen Investments </i></p><p>Overall, we determined that Nvidia edged out Intel and AMD with the highest competitive positioning with an average weightage for Nvidia at 37% which we used as our assumption for its share of the Enterprise AI software TAM. Based on the company’s $150 bln TAM as highlighted from its Investor Day, we estimated its revenue opportunity to be $55 bln growing at a CAGR of 200% from 2021 (calculated based on its average cost of $1,000 and 25,000 existing customers) which we believe is not unreasonable given the expected rise of AI which could contribute $15.7 tln in economic output by 2030 according to PwC.</p><h2><b>$10 billion Arm CPU Opportunity in Data Centers</b></h2><p>Furthermore, the company had recently introduced its Arm-based Grace CPU for data centers. In terms of specifications, it features 144 CPU cores, 1TB/s LPDDR5X and is connected coherently over NVLink®-C2C. The company also announced that multiple hardware vendors, including ASUS (OTC:AKCPF), Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn will build Grace-based systems that will start shipping in H1 2023. Additionally, the company had previously secured the Swiss National Supercomputing Centre, which has a budget of around $25 mln (fulfills 8% of forecasted Nvidia CPU revenue in 2023), as a customer for its CPUs and GPUs to provide 20 exaflops of AI performance.</p><p>According to Omdia, 5% of servers shipped had Arm CPUs which is an increase compared to 2.5% in 2020. According to Softbank (OTCPK:SFTBY), the market share of Arm-based CPUs was forecasted to increase to 25% by 2028. We estimated the x86 data center CPU market size based on Intel’s DCG segment had revenues of $22.7 bln with a market share of 94.1% in 2021 based on Passmark. We then estimated the total data center CPU market size based on Arm’s market share of 5% by Omdia to derive the total data center CPU market which we forecasted to grow at a CAGR of 10.2% by 2028. Assuming the share of Arm CPUs increases to 25% by 2028 based on Softbank’s forecast, we derive the total Arm CPU market size of $12.5 bln in 2028.</p><table><tbody><tr><td><p><b>Arm CPU Market Projections ($ bln)</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td><td><p><b>2027F</b></p></td><td><p><b>2028F</b></p></td></tr><tr><td><p>x86 Data Center CPU share</p></td><td><p>95%</p></td><td><p>94%</p></td><td><p>92%</p></td><td><p>90%</p></td><td><p>87%</p></td><td><p>84%</p></td><td><p>80%</p></td><td><p>75%</p></td></tr><tr><td><p>Arm Data Center CPU Share</p></td><td><p>5%</p></td><td><p>6.3%</p></td><td><p>7.9%</p></td><td><p>10.0%</p></td><td><p>12.5%</p></td><td><p>15.8%</p></td><td><p>19.9%</p></td><td><p>25%</p></td></tr><tr><td><p>Arm Data Center CPU Share CAGR</p></td><td></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td><p>25.8%</p></td><td></td></tr><tr><td><p>x86 Data Center CPU market size</p></td><td><p>24.1</p></td><td><p>26.2</p></td><td><p>28.4</p></td><td><p>30.6</p></td><td><p>32.8</p></td><td><p>34.8</p></td><td><p>36.4</p></td><td><p>37.6</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>8.7%</p></td><td><p>8.3%</p></td><td><p>7.8%</p></td><td><p>7.0%</p></td><td><p>6.1%</p></td><td><p>4.9%</p></td><td><p>3.1%</p></td></tr><tr><td><p>Arm Data Center CPU market size</p></td><td><p>1.3</p></td><td><p>1.8</p></td><td><p>2.4</p></td><td><p>3.4</p></td><td><p>4.7</p></td><td><p>6.5</p></td><td><p>9.0</p></td><td><p>12.5</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td><td><p>38.7%</p></td></tr><tr><td><p><b>Total</b></p></td><td><p><b>25.4</b></p></td><td><p><b>28.0</b></p></td><td><p><b>30.8</b></p></td><td><p><b>34.0</b></p></td><td><p><b>37.4</b></p></td><td><p><b>41.3</b></p></td><td><p><b>45.5</b></p></td><td><p><b>50.1</b></p></td></tr><tr><td><p><b>Growth %</b></p></td><td></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td><td><p><b>10.20%</b></p></td></tr></tbody></table><p><i>Source: Intel, Omdia, Softbank, BlueWeave Consulting, Khaveen Investments</i></p><p>Companies such as Amazon, Ampere and Huawei had been developing Arm-based CPUs for servers. However, Amazon Graviton processors and Huawei’s Kunpeng chips are used in their own data centers in comparison to Nvidia. Based on a comparison of their specifications against Nvidia, Nvidia’s CPU offer a superior core count (144) compared to Ampere Altra Max (128), Amazon Graviton3 (64) and Huawei Kunpeng 920 (64). In terms of product and software integration, according to Nvidia, the Grace CPU will support its HPC software development kit and a full suite of CUDA libraries.</p><table><tbody><tr><td><p><b>Nvidia Arm CPU Revenue ($ bln)</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td><td><p><b>2026F</b></p></td><td><p><b>2027F</b></p></td><td><p><b>2028F</b></p></td></tr><tr><td><p>Share of TAM</p></td><td><p>1%</p></td><td><p>4.8%</p></td><td><p>8.6%</p></td><td><p>12.4%</p></td><td><p>16.2%</p></td><td><p>20%</p></td></tr><tr><td><p>Nvidia CPU Revenue</p></td><td><p>0.31</p></td><td><p>1.63</p></td><td><p>3.22</p></td><td><p>5.12</p></td><td><p>7.37</p></td><td><p>10.02</p></td></tr><tr><td><p>Growth %</p></td><td></td><td><p>429.0%</p></td><td><p>97.4%</p></td><td><p>58.9%</p></td><td><p>44.0%</p></td><td><p>36.0%</p></td></tr></tbody></table><p><i>Source: Khaveen Investments </i></p><p>All in all, we expect Nvidia’s introduction of its Arm CPU to support its data center segment growth as the company had already secured system hardware partners to build Grace CPU-based systems in H1 2023 and supercomputer customers. Additionally, we believe the company could be supported by its performance advantage with its 144 core CPU which is higher than its competitors as well as integrated with its other AI software.</p><p>To project Nvidia’s CPU revenue, we assumed its share to rise 20% of our estimated market size by 2028 from 1% in 2023 assuming it releases its CPU as planned. We based our assumption of a 20% market share as we believe it could be faced with not only competitors such as Ampere but also AMD as its CFO indicated that it could embrace Arm CPUs and already had used Arm cores in other products such as microcontrollers while Intel plans to make Arm-based chips with its foundry for customers. This translates to average revenue growth of 133.1% for the company.</p><h2><b>Risk: Competition from Intel</b></h2><p>In addition to competition from AMD, Nvidia could face greater competition as Intel introduced its data center GPUs. While Intel (INTC) has not established itself in the discrete GPU market despite leading the total GPU market with its integrated GPUs, we believe the company could pose a significant threat to Nvidia. This is because Intel dominated the data center CPU market with a 94% market share in 2021 based on PassMark. We believe this could provide Intel with an opportunity to leverage its relationships with key data center customers with cross-selling opportunities. That said, as covered in our previous analysis, we also expect Advanced Micro Devices (AMD) to gain market share against Intel with its performance competitive advantages from its CPU portfolio.</p><h2><b>Valuation</b></h2><p>We summarized our revenue projections for the company’s Data Center segment in the table below. Whereas for its other segments, we retained our projections based on our previous analysis. Compared to our previous analysis, our revised revenue projections have a higher average revenue growth forecast of 28.3% compared to 23.4% in our previous analysis driven by higher revenue growth in its Data Center segment at an average of 33.6% compared to 21.9% previously.</p><table><tbody><tr><td><p><b>Nvidia Revenue Projections ($ bln)</b></p></td><td><p><b>2021</b></p></td><td><p><b>2022F</b></p></td><td><p><b>2023F</b></p></td><td><p><b>2024F</b></p></td><td><p><b>2025F</b></p></td></tr><tr><td><p>Gaming</p></td><td><p>12,462</p></td><td><p>15,953</p></td><td><p>20,421</p></td><td><p>26,141</p></td><td><p>33,463</p></td></tr><tr><td><p>Professional Visualization</p></td><td><p>2,111</p></td><td><p>2,318</p></td><td><p>2,545</p></td><td><p>2,794</p></td><td><p>3,068</p></td></tr><tr><td><p>Data Center</p></td><td><p>10,613</p></td><td><p>13,632</p></td><td><p>18,051</p></td><td><p>24,606</p></td><td><p>33,858</p></td></tr><tr><td><p>Automotive</p></td><td><p>566</p></td><td><p>691</p></td><td><p>842</p></td><td><p>1,028</p></td><td><p>1,254</p></td></tr><tr><td><p>OEM and Other</p></td><td><p>1,162</p></td><td><p>1,162</p></td><td><p>1,162</p></td><td><p>1,162</p></td><td><p>1,162</p></td></tr><tr><td><p><b>Total</b></p></td><td><p><b>26,914</b></p></td><td><p><b>33,755</b></p></td><td><p><b>43,022</b></p></td><td><p><b>55,731</b></p></td><td><p><b>72,806</b></p></td></tr><tr><td><p><b>Growth %</b></p></td><td><p><b>61.4%</b></p></td><td><p><b>25.4%</b></p></td><td><p><b>27.5%</b></p></td><td><p><b>29.5%</b></p></td><td><p><b>30.6%</b></p></td></tr></tbody></table><p><i>Source: Nvidia, Khaveen Investments </i></p><p>We valued the company based on a DCF analysis as we continue to expect it to generate positive FCFs. We updated our terminal value of the average chipmaker EV/EBITDA to 18.44x from 23.9x previously.</p><p></p><p><img src=\"https://static.tigerbbs.com/e00c22eaa47730a579e234e710016b3b\" tg-width=\"640\" tg-height=\"360\" referrerpolicy=\"no-referrer\"/></p><p>SeekingAlpha, Khaveen Investments</p><p>Based on a discount rate of 13.3% (company’s WACC), our model shows its shares are undervalued by 99.58%.</p><p><img src=\"https://static.tigerbbs.com/60d370c61b912473ae428c795c9be999\" tg-width=\"640\" tg-height=\"360\" referrerpolicy=\"no-referrer\"/></p><p>Khaveen Investments</p><h2><b>Verdict</b></h2><p>To conclude, we expect the company’s data center segment’s segment outlook to be supported by its presence across the 6 data center classes including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI with its broad hardware solutions and partnerships with key customers. Additionally, with its full stack of AI solutions, we expect the company to leverage its competitiveness to expand with its Enterprise AI software with an estimated revenue opportunity of $55 bln by 2028. Lastly, with the planned launch of its Arm CPU by 2023, we forecasted its revenue opportunity of $10 bln by 2028 based on a 20% market share assumption.</p><p>Overall, we revised our revenue growth projections for the company with a higher average of 28.3% compared to 23.4% previously driven by higher data center segment growth from 21.9% to 33.6%. However, we obtained a lower price target with a lower EV/EBITDA average of 18.44x from 23.4x previously as well as a higher discount rate. Though, Nvidia’s stock price had declined by 51% YTD which we believe presents an attractive upside for the company. Overall, we rate the company as a <i>Strong Buy</i> with a target price of <i>$289.85.</i></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Nvidia: Time To Buy The King Of Data Centers</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nNvidia: Time To Buy The King Of Data Centers\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-07-09 11:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4522089-nvidia-time-to-buy-the-king-of-data-centers><strong>Seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Nvidia Corporation's (NASDAQ:NVDA) data center segment has overtaken its Gaming segment to become its largest segment, in its Q1 FY2023, growing robustly by 83% YoY. Based on the company’s breakdown ...</p>\n\n<a href=\"https://seekingalpha.com/article/4522089-nvidia-time-to-buy-the-king-of-data-centers\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://seekingalpha.com/article/4522089-nvidia-time-to-buy-the-king-of-data-centers","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2249893579","content_text":"Nvidia Corporation's (NASDAQ:NVDA) data center segment has overtaken its Gaming segment to become its largest segment, in its Q1 FY2023, growing robustly by 83% YoY. Based on the company’s breakdown of its data center business across 6 data center classes, we examined its product offering that caters to these customers and determined the outlook of its data center business segment as a whole.Moreover, we looked into the company’s product offerings of its GPUs and software to offer the full stack for data centers and how it is integrating AI and software functionalities to build on its data center leadership.As it recently introduced its Arm CPU products for data centers, we analyzed the Arm CPU market and the players within, and projected its share vs x86 processors. Based on this, we estimated the market opportunity for Nvidia and its revenue growth.Dominating Data Centers Across All 6 ClassesNvidia’s data center segment has become its largest segment accounting for 45% of revenues in Q1 FY2023 and had the highest growth CAGR of 73.8% in the past 5 years. Its computing platform consists of hardware and software such as GPUs, DPUs, interconnects and systems, CUDA programming model and software libraries. According to Nvidia’s CEO, the company listed 6 types of data center classes: supercomputing centers, enterprise computing data centers, hyperscalers, cloud computing and two new classes which are FactoryAI and edge data centers. In the table below, we compiled the different data center classes by their market sizes, forecast CAGR, location, applications, users, relative compute power and footprint.Data CenterMarket Size ($ bln)Market Forecast CAGRComputer PowerLocationFootprint ('size')Types of Users/ OperatorsApplicationsSupercomputing Data Center6.516.2%Very HighSelf-operatedLargeGovernments, aerospace, petroleum, and automotive industriesHPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion researchHyperscale Data Center32.214.9%HighSelf-operatedVery LargeLarge multinational companies, cloud service providersColocation, cryptography, genome processing, and 3D renderingEnterprise Data Center84.212.0%LowSelf-operatedMediumEnterprises (Various industries)Company networks and systems (Various industries)Cloud Computing Data Center358.816.4%HighThird-partyVery LargeCloud service providersCloud-native application development, storage (IaaS), streaming, data analyticsEdge Data Center7.917.0%MediumThird-partyMediumEdge Data Center Companies, Telco, Healthcare5G, AV, Telemedicine, data analytics,Factory AI Data Center2.347.9%MediumSelf-operatedLowManufacturersSupply Chain Optimization, Predictive Maintenance, Process ControlSource: Research and Markets, Nvidia, Khaveen InvestmentsTo illustrate the market sizes of each data center class, we compiled the market revenues and forecast CAGR of each data center class based on Research and Markets. Based on the table above, cloud computing is the largest ($359 bln) as it consists of major cloud service providers including AWS, Azure and Google Cloud. this is followed by Enterprise Data Centers. Overall, the combined market size of the 6 data center classes is worth around $491 bln. However, the new data center classes, Factory AI and edge data center, have the highest CAGR of 47.9% and 17% respectively.Supercomputing Data CenterFirstly, supercomputing data centers which are computers with much higher computational capacities supporting intensive applications such asHPC, quantum mechanics, weather forecasting, oil and gas exploration, molecular modeling, physical simulations, aerodynamics, nuclear fusion research.In 2021, Nvidia claimed that 70% of the TOP500 supercomputers in the world are powered by its accelerators and it's even higher at 90% for new systems. The company had remarkable growth in this area over the past 10 years from 34% share of the TOP500 systems in 2011. For example, the company’s GPUs power the fastest supercomputers in the U.S. and Europe like the Oak Ridge National Labs’ Summit, the world’s smartest supercomputer. The company has recently introduced its H100 GPUs based on its Hopper architecture which follows its A100 GPUs based on its Ampere architecture. Supercomputers are equipped with a large number of GPUs, previously Nvidia stated that 6 supercomputers used a total of 13,000 A100 GPUs.Enterprise Data CenterBesides supercomputers, the company also targets enterprise systems. According to Cisco, compared to other types of data centers, enterprise data centers are built and operated by companies within their premises and optimized for their users to support their data and storage requirements by companies in various industries such as IT, financial services, and healthcare. However, in comparison, hyperscale data centers have higher compute capacities. Based on Nvidia, its NVIDIA-Certified Systemenable enterprises to confidently deploy hardware solutions that securely and optimally run their modern accelerated workloads.The company’s Nvidia-certified data center partners include the top server providers such as Lenovo (OTCPK:LNVGY), Fujitsu (OTCPK:FJTSF), Dell (DELL), Cisco (CSCO), and HPE (HPE), with a combined market share of over 38% of the server market based on the IDC. Also, the company introduced its EGX for enterprise as well as edge computing.Hyperscale Data CentersMoreover, Nvidia also targets hyperscale data centers which are massive facilities exceeding 5,000 servers and 10,000 square feet according to the IDC. They are “designed to support robust and scalable applications” due to their agility to scale up or down to meet customers’ demands by adding more computing power to their infrastructure. For example, companies which operate these facilities include Yahoo, Facebook (META), Microsoft (MSFT), Apple (AAPL), Google (GOOG, GOOGL) and Amazon (AMZN). According to Vertiv, there were more than 600 hyperscale data centers in 2021. Nvidia has “ready-to-use system reference designs” based on its GPUs such as its HGX product for hyperscale and supercomputing data centers.Cloud Computing Additionally, the company also underline cloud computing data centers, allowing customers and developers to leverage Nvidia’s hardware through the cloud to support applications such as advanced medical imaging, automated customer service, and cinematic-quality gaming. According to Microsoft, cloud computing is the delivery of computing services over the internet with services such as IaaS, PaaS and SaaS with use cases including creating cloud-native applications, streaming and data analytics. Besides that, Nvidia has partnerships with major cloud service providers including Amazon, the market leader in the cloud infrastructure market with a 33% market share in 2021 according to Canalys, trailed by Microsoft Azure, Google Cloud and Alibaba Cloud (BABA, OTCPK:BABAF). These cloud providers are also part of the company’s partner ecosystem.And now, with NVIDIA’s GPU-accelerated solutions available through all top cloud platforms, innovators everywhere can access massive computing power on demand and with ease. – NvidiaAI Factory In addition to these 4 classes of data centers, the company also highlighted the first new data center class which is “AI Factory.” According to CEO Jensen Huang, manufacturers are becoming “intelligence manufacturers” processing and refining data. The company highlighted its GPU-accelerated computing for applications leveraging AI including Supply Chain Optimization, Predictive Maintenance and Process Control for operations optimization improved time-to-insight and lower cost. According to Nvidia’s CEO, the company highlighted 150,000 factories refining data, creating models and becoming intelligence manufacturers. The company has its AGX platform for autonomous machines. For example, one customer of the company is BMW which is using its hardware and software for its robotics and machinery.The idea is to equip BMW’s factory with all manner of Nvidia hardware. First, the company will use Nvidia’s DGX and Isaac simulation software to train and test the robots; Nvidia Quadro ray-tracing GPUs will render synthetic machine parts. – Nvidia CEOEdge Data CenterLastly, the company also highlighted edge data centers which are smaller data centers that are closer to end-users for lower latency and greater speed benefits according to Nlyte Software. Nvidia highlighted that edge data centers span a wide range of applications such as “warehouse, retail stores, cities, public places, cars, robots”. Compared to cloud computing where data is sent from the edge to the cloud, edge computing refers to data computed right at the edge. The company’s EGX for enterprise and edge computing. Based on the company, its NVIDIA EGX and Jetson solutionsaccelerate the most powerful edge computing systems to power diverse applications, including industrial inspection, predictive maintenance, factory robotics, and autonomous machines.Furthermore, we updated our revenue projection for Nvidia’s data center segment in the table below from our previous analysis based on its data center revenue share of the total cloud market capex. To derive this, we forecasted the total cloud market capex based on our projection of the total cloud market from data volume growth forecasts.Volume of Data Worldwide201720182019202020212022F2023F2024F2025F2026FCloud Infrastructure Market Revenues ($ bln)46.56996129.5178.0248.1349.7485.7679.8951.4Cloud Infrastructure Market Revenue Growth %45%48%39%35%37%39%41%39%40%40%Data Volume (ZB)26334164.27997120147181222.9Data Volume Growth %44%27%24%57%23%23%24%23%23%23%Total Market Capex (Adjusted)54.382.888.0125.7163.9209271344442567Total Market Capex Growth %30%52%6%43%30%28%29%27%28%28%Nvidia Data Center Share of Capex Spend3.6%3.5%3.4%5.3%6.5%6.5%6.5%6.5%6.5%6.5%Nvidia Data Center Revenues1.92.93.06.710.613.617.522.328.636.7Nvidia Data Center Revenues Growth %132.5%51.8%1.8%124.5%58.5%27.7%29.2%27.3%28.3%28.3%Source: Nvidia, Company Data, Khaveen Investments Overall, we believe the company’s data center segment outlook is supported by its presence across the 6 types of data centers underlined including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI. Besides a broad product portfolio catering to each data center class, the company also has partnerships with key customers such as major server vendors and cloud service providers. Based on our revenue projection, we derived an average revenue growth rate of 28.2% for its segment through 2026.Integrating Software and AI into Data CentersA data center consists of chips including GPU, central processing unit (CPU), and field-programmable gate array (FPGA) which are some of the commonly used data center chips according to imarc. According to the company, it highlighted the greater compute capabilities of GPUs used as accelerators in data centers running tens of thousands of threads compared to CPUs. According to Network World,GPUs are better suited than CPUs for handling many of the calculations required by AI and machine learning in enterprise data centers and hyperscaler networks.According to Ark Invest, CPUs comprised 83% of data center budgets in 2020 but were forecasted to decline to 40% by 2030 as GPUs become the dominant processor.In its annual report, Nvidia claims to have a platform strategy that brings its hardware, software, algorithms and software libraries together. Furthermore, the company highlighted the introduction of its CUDA programming model which enabled its GPUs with parallel processing capabilities for intensive compute workloads such as deep learning and machine learning.With our introduction of the CUDA programming model in 2006, we opened the parallel processing capabilities of our GPU for general-purpose computing. This approach significantly accelerates the most demanding high-performance computing, or HPC, applications in fields such as aerospace, bioscience research, mechanical and fluid simulations, and energy exploration. Today, our GPUs and networking accelerate many of the fastest supercomputers across the world. In addition, the massively parallel compute architecture of our GPUs and associated software are well suited for deep learning and machine learning, powering the era of AI. While traditional CPU-based approaches no longer deliver advances on the pace described by Moore’s Law, we deliver GPU performance improvements on a pace ahead of Moore’s Law, giving the industry a path forward. – Nvidia 2022 Annual ReportNvidiaIn addition, as seen in the chart above, the company claims to provide a full stack of AI solutions. Besides its hardware, Nvidia has a collection of AI software solutions and development kits for customers and software developers including Clara Mionai, Riva, Maxine, Nemo and Merlin. Moreover, according to the company, it hasover 450 NVIDIA AI libraries and software development kits to serve industries such as gaming, design, quantum computing, AI, 5G/6G, and robotics.Furthermore, its products support various AI software frameworks and software such as RAPIDS, TensorFlow and PyTorch. As Nvidia continued to build up its AI stack, the company’s patents had been steadily increasing since 2018 to 1,174 in 2021 based on Global Data. In comparison, AMD’s patents had also been rising since 2017 with a higher number of patents (1,795) while Intel’s patent filings had been declining but have the most number of patents (11,677).Additionally, the company had introduced its standalone enterprise software offering including NVIDIA AI Enterprise which is $1,000 per node and has 25,000 enterprises already using its technology for AI. According to the company, it had a server installed base of 50 mln enterprises and a TAM of $150 bln for its Enterprise AI software based on its Investor Day Presentation. To determine the share of TAM we expect Nvidia to derive, we compared it against AMD and Intel in terms of its breadth of products, AI software integrations, GPU and CPU performance and price. We ranked the best company for each category with a weight of 0.5 followed by 0.3 for the second-best and 0.2 for the last company and calculated its average weight as our assumption for each company’s share of the TAM.Competitive PositioningNvidiaIntelAMDNumber of products754Software AI Integrations21187Average Data Center CPU BenchmarkN/A34,23776,308Average Data Center CPU PriceN/A$ 2,277$ 3,843GPU Performance (TFLOPS)60N/A47.9GPU Price$36,405N/A$ 14,500Competitive PositioningNvidiaIntelAMDNumber of products0.50.30.2Software AI Integrations0.50.30.2Average Data Center CPU Benchmark0.20.50.3Average Data Center CPU Price0.20.50.3GPU Performance (TFLOPS)0.50.20.3GPU Price0.30.20.5Weights0.370.330.30Source: Nvidia, Intel, AMD, WFTech, Khaveen Investments Based on the table, Nvidia has the broadest product breadth between AMD (4) and Intel (5) with 7 products as the company product offerings include GPUs and DPUs as well as reference design systems such as AGX, HGX, EGX and DGX. Also, it is planning to introduce CPUs based on Arm architecture. In comparison, Intel follows behind with its portfolio of ASICs, FPGAs, GPUs, CPUs and Smart NICs while AMD has FPGAs (Xilinx), CPUs, GPUs and DPUs. Furthermore, by referring to these companies’ AI presentation pitch decks and websites, we found that Nvidia has the highest AI software integrations (21) with its broad collection as stated above in addition to its cloud deployment and infrastructure optimization including Nvidia GPU Operator, Network Operator, vGPU, MagnumIO, CUDA-AI and vSphere integration as part of its AI Enterprise package. As Nvidia’s CPU and Intel’s GPU have yet to launch, we ranked it as the lowest with N/A for our calculations.In terms of hardware, we compared Intel and AMD data center CPUs from our previous analysis of Intel where we determined AMD’s performance advantage based on its higher benchmark score but with premium pricing compared to Intel. Additionally, we compared Nvidia’s H100 GPU based on its performance as measured by its TFLOPS specs with a higher maximum of 60 TFLOPS compared to AMD’s Instinct M250. Though, Nvidia’s GPU has a higher estimated price compared to AMD.Nvidia Enterprise AI Software Revenue ($ bln)20212022F2023F2024F2025F2026F2027F2028FMarket TAM150Nvidia Enterprise AI Software0.030.10.20.72.06.118.355Growth %200%200%200%200%200%200%200%Source: Nvidia, Khaveen Investments Overall, we determined that Nvidia edged out Intel and AMD with the highest competitive positioning with an average weightage for Nvidia at 37% which we used as our assumption for its share of the Enterprise AI software TAM. Based on the company’s $150 bln TAM as highlighted from its Investor Day, we estimated its revenue opportunity to be $55 bln growing at a CAGR of 200% from 2021 (calculated based on its average cost of $1,000 and 25,000 existing customers) which we believe is not unreasonable given the expected rise of AI which could contribute $15.7 tln in economic output by 2030 according to PwC.$10 billion Arm CPU Opportunity in Data CentersFurthermore, the company had recently introduced its Arm-based Grace CPU for data centers. In terms of specifications, it features 144 CPU cores, 1TB/s LPDDR5X and is connected coherently over NVLink®-C2C. The company also announced that multiple hardware vendors, including ASUS (OTC:AKCPF), Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn will build Grace-based systems that will start shipping in H1 2023. Additionally, the company had previously secured the Swiss National Supercomputing Centre, which has a budget of around $25 mln (fulfills 8% of forecasted Nvidia CPU revenue in 2023), as a customer for its CPUs and GPUs to provide 20 exaflops of AI performance.According to Omdia, 5% of servers shipped had Arm CPUs which is an increase compared to 2.5% in 2020. According to Softbank (OTCPK:SFTBY), the market share of Arm-based CPUs was forecasted to increase to 25% by 2028. We estimated the x86 data center CPU market size based on Intel’s DCG segment had revenues of $22.7 bln with a market share of 94.1% in 2021 based on Passmark. We then estimated the total data center CPU market size based on Arm’s market share of 5% by Omdia to derive the total data center CPU market which we forecasted to grow at a CAGR of 10.2% by 2028. Assuming the share of Arm CPUs increases to 25% by 2028 based on Softbank’s forecast, we derive the total Arm CPU market size of $12.5 bln in 2028.Arm CPU Market Projections ($ bln)20212022F2023F2024F2025F2026F2027F2028Fx86 Data Center CPU share95%94%92%90%87%84%80%75%Arm Data Center CPU Share5%6.3%7.9%10.0%12.5%15.8%19.9%25%Arm Data Center CPU Share CAGR25.8%25.8%25.8%25.8%25.8%25.8%x86 Data Center CPU market size24.126.228.430.632.834.836.437.6Growth %8.7%8.3%7.8%7.0%6.1%4.9%3.1%Arm Data Center CPU market size1.31.82.43.44.76.59.012.5Growth %38.7%38.7%38.7%38.7%38.7%38.7%38.7%Total25.428.030.834.037.441.345.550.1Growth %10.20%10.20%10.20%10.20%10.20%10.20%10.20%Source: Intel, Omdia, Softbank, BlueWeave Consulting, Khaveen InvestmentsCompanies such as Amazon, Ampere and Huawei had been developing Arm-based CPUs for servers. However, Amazon Graviton processors and Huawei’s Kunpeng chips are used in their own data centers in comparison to Nvidia. Based on a comparison of their specifications against Nvidia, Nvidia’s CPU offer a superior core count (144) compared to Ampere Altra Max (128), Amazon Graviton3 (64) and Huawei Kunpeng 920 (64). In terms of product and software integration, according to Nvidia, the Grace CPU will support its HPC software development kit and a full suite of CUDA libraries.Nvidia Arm CPU Revenue ($ bln)2023F2024F2025F2026F2027F2028FShare of TAM1%4.8%8.6%12.4%16.2%20%Nvidia CPU Revenue0.311.633.225.127.3710.02Growth %429.0%97.4%58.9%44.0%36.0%Source: Khaveen Investments All in all, we expect Nvidia’s introduction of its Arm CPU to support its data center segment growth as the company had already secured system hardware partners to build Grace CPU-based systems in H1 2023 and supercomputer customers. Additionally, we believe the company could be supported by its performance advantage with its 144 core CPU which is higher than its competitors as well as integrated with its other AI software.To project Nvidia’s CPU revenue, we assumed its share to rise 20% of our estimated market size by 2028 from 1% in 2023 assuming it releases its CPU as planned. We based our assumption of a 20% market share as we believe it could be faced with not only competitors such as Ampere but also AMD as its CFO indicated that it could embrace Arm CPUs and already had used Arm cores in other products such as microcontrollers while Intel plans to make Arm-based chips with its foundry for customers. This translates to average revenue growth of 133.1% for the company.Risk: Competition from IntelIn addition to competition from AMD, Nvidia could face greater competition as Intel introduced its data center GPUs. While Intel (INTC) has not established itself in the discrete GPU market despite leading the total GPU market with its integrated GPUs, we believe the company could pose a significant threat to Nvidia. This is because Intel dominated the data center CPU market with a 94% market share in 2021 based on PassMark. We believe this could provide Intel with an opportunity to leverage its relationships with key data center customers with cross-selling opportunities. That said, as covered in our previous analysis, we also expect Advanced Micro Devices (AMD) to gain market share against Intel with its performance competitive advantages from its CPU portfolio.ValuationWe summarized our revenue projections for the company’s Data Center segment in the table below. Whereas for its other segments, we retained our projections based on our previous analysis. Compared to our previous analysis, our revised revenue projections have a higher average revenue growth forecast of 28.3% compared to 23.4% in our previous analysis driven by higher revenue growth in its Data Center segment at an average of 33.6% compared to 21.9% previously.Nvidia Revenue Projections ($ bln)20212022F2023F2024F2025FGaming12,46215,95320,42126,14133,463Professional Visualization2,1112,3182,5452,7943,068Data Center10,61313,63218,05124,60633,858Automotive5666918421,0281,254OEM and Other1,1621,1621,1621,1621,162Total26,91433,75543,02255,73172,806Growth %61.4%25.4%27.5%29.5%30.6%Source: Nvidia, Khaveen Investments We valued the company based on a DCF analysis as we continue to expect it to generate positive FCFs. We updated our terminal value of the average chipmaker EV/EBITDA to 18.44x from 23.9x previously.SeekingAlpha, Khaveen InvestmentsBased on a discount rate of 13.3% (company’s WACC), our model shows its shares are undervalued by 99.58%.Khaveen InvestmentsVerdictTo conclude, we expect the company’s data center segment’s segment outlook to be supported by its presence across the 6 data center classes including supercomputers, enterprise computing, hyperscalers, cloud computing, edge computing and Factory AI with its broad hardware solutions and partnerships with key customers. Additionally, with its full stack of AI solutions, we expect the company to leverage its competitiveness to expand with its Enterprise AI software with an estimated revenue opportunity of $55 bln by 2028. Lastly, with the planned launch of its Arm CPU by 2023, we forecasted its revenue opportunity of $10 bln by 2028 based on a 20% market share assumption.Overall, we revised our revenue growth projections for the company with a higher average of 28.3% compared to 23.4% previously driven by higher data center segment growth from 21.9% to 33.6%. However, we obtained a lower price target with a lower EV/EBITDA average of 18.44x from 23.4x previously as well as a higher discount rate. Though, Nvidia’s stock price had declined by 51% YTD which we believe presents an attractive upside for the company. Overall, we rate the company as a Strong Buy with a target price of $289.85.","news_type":1},"isVote":1,"tweetType":1,"viewCount":275,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052597108,"gmtCreate":1655192456904,"gmtModify":1676535578603,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4087188383113840","idStr":"4087188383113840"},"themes":[],"htmlText":"Like for likes&nbsp;","listText":"Like for likes&nbsp;","text":"Like for likes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052597108","repostId":"1185473498","repostType":4,"repost":{"id":"1185473498","pubTimestamp":1655188728,"share":"https://ttm.financial/m/news/1185473498?lang=&edition=fundamental","pubTime":"2022-06-14 14:38","market":"us","language":"en","title":"Sea's Shopee Downsizes Global, SE Asian workforce; to Shutter Operations in Spain","url":"https://stock-news.laohu8.com/highlight/detail?id=1185473498","media":"DealStreetAsia","summary":"SINGAPORE -- Sea Group's e-commerce arm Shopee is laying off staff across multiple markets as it see","content":"<html><head></head><body><p>SINGAPORE -- Sea Group&#39;s e-commerce arm Shopee is laying off staff across multiple markets as it seeks to rationalize its e-commerce business, DealStreetAsia has learned.</p><p>The layoffs have affected employees across several of the company&#39;s Southeast Asian markets including Indonesia, Thailand and Vietnam, sources told DealStreetAsia. The company is said to have emailed employees affected by the layoffs, the sources added.</p><p>Shopee&#39;s payments arm ShopeePay and food delivery business ShopeeFood are also said to be facing cuts. A general meeting was also reportedly held on Monday to address the job cuts with Shopee employees.</p><p>The extent of the job cuts and the number of employees affected could not be confirmed at the time of publishing. DealStreetAsia has reached out to Shopee for comment.</p><p>Two sources aware of the matter said nearly half of Shopee Thailand&#39;s payment and food delivery teams have been affected by the downsizing. One of the sources noted that the email was said to have been managed in an off-handed manner, with the company asking staff members to return home and await further notice of termination.</p><p>A separate source told DealStreetAsia that Shopee has stopped hiring, with several job offers for regional roles rescinded.</p><p>While Sea Group&#39;s business continues to show signs of improvement in overall profitability, most of its revenue continues to come from its gaming arm Garena.</p><p>Sea Group&#39;s first-quarter 2022 financials reflected a 64.4% year-on-year increase in Generally Accepted Accounting Principles revenue at $2.9 billion, with gross profits soaring 81.3% to $1.2 billion over the same period.</p><p>Shopee&#39;s business, while still losing money, has also reflected improvements, with a 71.3% year-on-year increase in orders to $1.9 billion in the first quarter of 2022 while gross merchandise value rose 38.7% to $17.4 billion. Importantly, Shopee&#39;s gross profit margin for e-commerce increased year on year, with faster growth in transaction-based fees and advertising income generating higher margins versus other value-added services.</p><p>Shopee, however, continues to face several macro headwinds, including rising inflation and interest rates, that may dampen retail and consumption sectors.</p><p>The company also appears to be facing setbacks on some of its ambitious internationalization plans, including its forays into Europe and Latin America. Shopee, which has operations in Poland and Spain, decided to pull out of France after only five months as it was not meeting expectations.</p></body></html>","source":"lsy1655188723695","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Sea's Shopee Downsizes Global, SE Asian workforce; to Shutter Operations in Spain</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nSea's Shopee Downsizes Global, SE Asian workforce; to Shutter Operations in Spain\n</h2>\n\n<h4 class=\"meta\">\n\n\n2022-06-14 14:38 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://www.dealstreetasia.com/stories/sea-group-shopee-layoffs-296292><strong>DealStreetAsia</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>SINGAPORE -- Sea Group's e-commerce arm Shopee is laying off staff across multiple markets as it seeks to rationalize its e-commerce business, DealStreetAsia has learned.The layoffs have affected ...</p>\n\n<a href=\"https://www.dealstreetasia.com/stories/sea-group-shopee-layoffs-296292\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"SE":"Sea Ltd"},"source_url":"https://www.dealstreetasia.com/stories/sea-group-shopee-layoffs-296292","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1185473498","content_text":"SINGAPORE -- Sea Group's e-commerce arm Shopee is laying off staff across multiple markets as it seeks to rationalize its e-commerce business, DealStreetAsia has learned.The layoffs have affected employees across several of the company's Southeast Asian markets including Indonesia, Thailand and Vietnam, sources told DealStreetAsia. The company is said to have emailed employees affected by the layoffs, the sources added.Shopee's payments arm ShopeePay and food delivery business ShopeeFood are also said to be facing cuts. A general meeting was also reportedly held on Monday to address the job cuts with Shopee employees.The extent of the job cuts and the number of employees affected could not be confirmed at the time of publishing. DealStreetAsia has reached out to Shopee for comment.Two sources aware of the matter said nearly half of Shopee Thailand's payment and food delivery teams have been affected by the downsizing. One of the sources noted that the email was said to have been managed in an off-handed manner, with the company asking staff members to return home and await further notice of termination.A separate source told DealStreetAsia that Shopee has stopped hiring, with several job offers for regional roles rescinded.While Sea Group's business continues to show signs of improvement in overall profitability, most of its revenue continues to come from its gaming arm Garena.Sea Group's first-quarter 2022 financials reflected a 64.4% year-on-year increase in Generally Accepted Accounting Principles revenue at $2.9 billion, with gross profits soaring 81.3% to $1.2 billion over the same period.Shopee's business, while still losing money, has also reflected improvements, with a 71.3% year-on-year increase in orders to $1.9 billion in the first quarter of 2022 while gross merchandise value rose 38.7% to $17.4 billion. Importantly, Shopee's gross profit margin for e-commerce increased year on year, with faster growth in transaction-based fees and advertising income generating higher margins versus other value-added services.Shopee, however, continues to face several macro headwinds, including rising inflation and interest rates, that may dampen retail and consumption sectors.The company also appears to be facing setbacks on some of its ambitious internationalization plans, including its forays into Europe and Latin America. Shopee, which has operations in Poland and Spain, decided to pull out of France after only five months as it was not meeting expectations.","news_type":1},"isVote":1,"tweetType":1,"viewCount":440,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052530996,"gmtCreate":1655192547415,"gmtModify":1676535578619,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4087188383113840","idStr":"4087188383113840"},"themes":[],"htmlText":"Yes","listText":"Yes","text":"Yes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052530996","repostId":"2243010692","repostType":4,"repost":{"id":"2243010692","weMediaInfo":{"introduction":"Reuters.com brings you the latest news from around the world, covering breaking news in markets, business, politics, entertainment and technology","home_visible":1,"media_name":"Reuters","id":"1036604489","head_image":"https://static.tigerbbs.com/443ce19704621c837795676028cec868"},"pubTimestamp":1655154483,"share":"https://ttm.financial/m/news/2243010692?lang=&edition=fundamental","pubTime":"2022-06-14 05:08","market":"us","language":"en","title":"US STOCKS-S&P 500 Confirms Bear Market As Recession Worry Grows","url":"https://stock-news.laohu8.com/highlight/detail?id=2243010692","media":"Reuters","summary":"(Reuters) - U.S. equities tumbled on Monday, with the S&P 500 confirming it is in a bear market, hei","content":"<html><head></head><body><p>(Reuters) - U.S. equities tumbled on Monday, with the S&amp;P 500 confirming it is in a bear market, heightening fears that the expected aggressive interest rate hikes by the Federal Reserve could push the economy into a recession.</p><p>The benchmark S&amp;P index has fallen for four straight days, its longest losing streak in three months, with the index now down 21.8% from its most recent record closing high to confirm a bear market began on Jan. 3, according to a commonly used definition.</p><p>All the major S&amp;P sectors were sharply lower, with only 5 components of the S&amp;P 500 in positive territory on the day. Markets have been under pressure this year as climbing prices, including a jump in oil prices due in part to the war in Ukraine, have put the Fed on track to take strong actions to tighten its monetary policy, such as interest rate hike.</p><p>The Fed is scheduled to make its next policy announcement on Wednesday and investors will be highly focused on any clues for how aggressive the central bank intends to be in raising rates.</p><p>High-growth market heavyweights such as Apple Inc, Microsoft Corp and Amazon.com Inc were the biggest drags on the S&amp;P 500, as the yield on the benchmark 10-year U.S. Treasury note hit 3.44%, its highest level since April 2011. Growth stocks are more likely to see their earnings suffer in a rising rate environment.</p><p>A hotter-than-expected consumer price index (CPI) reading on Friday prompted traders to price in a total of 175 basis point (bps) in interest rate hikes by September, while expectations for a 75 basis point hike at the June meeting have jumped to nearly 30% from 3.1% a week ago, according to CME&#39;s Fedwatch Tool.</p><p>&#34;The market had been trying to rally around the idea that inflation has peaked, and the Fed would not have to be more aggressive,&#34; said Ross Mayfield, investment strategy analyst at Baird in Louisville, Kentucky.</p><p>&#34;That story fell apart on Friday with the CPI report, showing broad inflation being entrenched everywhere you look.&#34;</p><p>The Dow Jones Industrial Average fell 876.05 points, or 2.79%, to 30,516.74, the S&amp;P 500 lost 151.23 points, or 3.88%, to 3,749.63 and the Nasdaq Composite dropped 530.80 points, or 4.68%, to 10,809.23.</p><p>The longest S&amp;P 500 bear market lasted just over five years, starting on March 6, 1937 and ending on April 29, 1942 while the shortest lasted just over a month, beginning on Feb. 19, 2020 and ending on March 23, 2020, according to S&amp;P Dow Jones Indices.</p><p>It has taken a little over a year on average for the index to reach its bottom during bear markets, and then roughly another two years to return to its prior high, according to CFRA Research.</p><p>In addition, the two-year 10-year U.S. Treasury yield curve briefly inverted for the first time since April, which many in the markets see as a reliable signal that a recession could come in the next year or two.</p><p>The Nasdaq Composite index, which suffered its fourth straight drop, confirmed it was in bear market territory on March 7 and has declined roughly 30% this year.</p><p>The CBOE Volatility index, also known as Wall Street&#39;s fear gauge, spiked to its highest level since May 9 at 35.05 before closing at 34.02. Still, many analysts view the level as somewhat subdued and could mean more selling pressure is in store.</p><p>&#34;This is a market that does not look like it is capitulating as much as it is frustrated,&#34; said Rob Haworth, senior investment strategist at U.S. Bank Wealth Management in Seattle.</p><p>&#34;Even with some of the securities being thrown out, it is just not deep enough, violent enough to see that people have taken positions off.&#34;</p><p>Cryptocurrency- and blockchain-related stocks, including Riot Blockchain, Marathon Digital Holdings and Coinbase Global, all plunged as bitcoin slumped more than 10% after major U.S. cryptocurrency lending company Celsius Network froze withdrawals and transfers citing &#34;extreme&#34; conditions.</p><p>Volume on U.S. exchanges was 14.98 billion shares, compared with the 11.95 billion average for the full session over the last 20 trading days.</p><p>Declining issues outnumbered advancing ones on the NYSE by a 16.62-to-1 ratio; on Nasdaq, a 7.00-to-1 ratio favored decliners.</p><p>The S&amp;P 500 posted 1 new 52-week highs and 76 new lows; the Nasdaq Composite recorded 12 new highs and 743 new lows.</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>US STOCKS-S&P 500 Confirms Bear Market As Recession Worry Grows</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nUS STOCKS-S&P 500 Confirms Bear Market As Recession Worry Grows\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1036604489\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/443ce19704621c837795676028cec868);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Reuters </p>\n<p class=\"h-time\">2022-06-14 05:08</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>(Reuters) - U.S. equities tumbled on Monday, with the S&amp;P 500 confirming it is in a bear market, heightening fears that the expected aggressive interest rate hikes by the Federal Reserve could push the economy into a recession.</p><p>The benchmark S&amp;P index has fallen for four straight days, its longest losing streak in three months, with the index now down 21.8% from its most recent record closing high to confirm a bear market began on Jan. 3, according to a commonly used definition.</p><p>All the major S&amp;P sectors were sharply lower, with only 5 components of the S&amp;P 500 in positive territory on the day. Markets have been under pressure this year as climbing prices, including a jump in oil prices due in part to the war in Ukraine, have put the Fed on track to take strong actions to tighten its monetary policy, such as interest rate hike.</p><p>The Fed is scheduled to make its next policy announcement on Wednesday and investors will be highly focused on any clues for how aggressive the central bank intends to be in raising rates.</p><p>High-growth market heavyweights such as Apple Inc, Microsoft Corp and Amazon.com Inc were the biggest drags on the S&amp;P 500, as the yield on the benchmark 10-year U.S. Treasury note hit 3.44%, its highest level since April 2011. Growth stocks are more likely to see their earnings suffer in a rising rate environment.</p><p>A hotter-than-expected consumer price index (CPI) reading on Friday prompted traders to price in a total of 175 basis point (bps) in interest rate hikes by September, while expectations for a 75 basis point hike at the June meeting have jumped to nearly 30% from 3.1% a week ago, according to CME&#39;s Fedwatch Tool.</p><p>&#34;The market had been trying to rally around the idea that inflation has peaked, and the Fed would not have to be more aggressive,&#34; said Ross Mayfield, investment strategy analyst at Baird in Louisville, Kentucky.</p><p>&#34;That story fell apart on Friday with the CPI report, showing broad inflation being entrenched everywhere you look.&#34;</p><p>The Dow Jones Industrial Average fell 876.05 points, or 2.79%, to 30,516.74, the S&amp;P 500 lost 151.23 points, or 3.88%, to 3,749.63 and the Nasdaq Composite dropped 530.80 points, or 4.68%, to 10,809.23.</p><p>The longest S&amp;P 500 bear market lasted just over five years, starting on March 6, 1937 and ending on April 29, 1942 while the shortest lasted just over a month, beginning on Feb. 19, 2020 and ending on March 23, 2020, according to S&amp;P Dow Jones Indices.</p><p>It has taken a little over a year on average for the index to reach its bottom during bear markets, and then roughly another two years to return to its prior high, according to CFRA Research.</p><p>In addition, the two-year 10-year U.S. Treasury yield curve briefly inverted for the first time since April, which many in the markets see as a reliable signal that a recession could come in the next year or two.</p><p>The Nasdaq Composite index, which suffered its fourth straight drop, confirmed it was in bear market territory on March 7 and has declined roughly 30% this year.</p><p>The CBOE Volatility index, also known as Wall Street&#39;s fear gauge, spiked to its highest level since May 9 at 35.05 before closing at 34.02. Still, many analysts view the level as somewhat subdued and could mean more selling pressure is in store.</p><p>&#34;This is a market that does not look like it is capitulating as much as it is frustrated,&#34; said Rob Haworth, senior investment strategist at U.S. Bank Wealth Management in Seattle.</p><p>&#34;Even with some of the securities being thrown out, it is just not deep enough, violent enough to see that people have taken positions off.&#34;</p><p>Cryptocurrency- and blockchain-related stocks, including Riot Blockchain, Marathon Digital Holdings and Coinbase Global, all plunged as bitcoin slumped more than 10% after major U.S. cryptocurrency lending company Celsius Network froze withdrawals and transfers citing &#34;extreme&#34; conditions.</p><p>Volume on U.S. exchanges was 14.98 billion shares, compared with the 11.95 billion average for the full session over the last 20 trading days.</p><p>Declining issues outnumbered advancing ones on the NYSE by a 16.62-to-1 ratio; on Nasdaq, a 7.00-to-1 ratio favored decliners.</p><p>The S&amp;P 500 posted 1 new 52-week highs and 76 new lows; the Nasdaq Composite recorded 12 new highs and 743 new lows.</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{".DJI":"道琼斯",".IXIC":"NASDAQ Composite",".SPX":"S&P 500 Index"},"source_url":"","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2243010692","content_text":"(Reuters) - U.S. equities tumbled on Monday, with the S&P 500 confirming it is in a bear market, heightening fears that the expected aggressive interest rate hikes by the Federal Reserve could push the economy into a recession.The benchmark S&P index has fallen for four straight days, its longest losing streak in three months, with the index now down 21.8% from its most recent record closing high to confirm a bear market began on Jan. 3, according to a commonly used definition.All the major S&P sectors were sharply lower, with only 5 components of the S&P 500 in positive territory on the day. Markets have been under pressure this year as climbing prices, including a jump in oil prices due in part to the war in Ukraine, have put the Fed on track to take strong actions to tighten its monetary policy, such as interest rate hike.The Fed is scheduled to make its next policy announcement on Wednesday and investors will be highly focused on any clues for how aggressive the central bank intends to be in raising rates.High-growth market heavyweights such as Apple Inc, Microsoft Corp and Amazon.com Inc were the biggest drags on the S&P 500, as the yield on the benchmark 10-year U.S. Treasury note hit 3.44%, its highest level since April 2011. Growth stocks are more likely to see their earnings suffer in a rising rate environment.A hotter-than-expected consumer price index (CPI) reading on Friday prompted traders to price in a total of 175 basis point (bps) in interest rate hikes by September, while expectations for a 75 basis point hike at the June meeting have jumped to nearly 30% from 3.1% a week ago, according to CME's Fedwatch Tool.\"The market had been trying to rally around the idea that inflation has peaked, and the Fed would not have to be more aggressive,\" said Ross Mayfield, investment strategy analyst at Baird in Louisville, Kentucky.\"That story fell apart on Friday with the CPI report, showing broad inflation being entrenched everywhere you look.\"The Dow Jones Industrial Average fell 876.05 points, or 2.79%, to 30,516.74, the S&P 500 lost 151.23 points, or 3.88%, to 3,749.63 and the Nasdaq Composite dropped 530.80 points, or 4.68%, to 10,809.23.The longest S&P 500 bear market lasted just over five years, starting on March 6, 1937 and ending on April 29, 1942 while the shortest lasted just over a month, beginning on Feb. 19, 2020 and ending on March 23, 2020, according to S&P Dow Jones Indices.It has taken a little over a year on average for the index to reach its bottom during bear markets, and then roughly another two years to return to its prior high, according to CFRA Research.In addition, the two-year 10-year U.S. Treasury yield curve briefly inverted for the first time since April, which many in the markets see as a reliable signal that a recession could come in the next year or two.The Nasdaq Composite index, which suffered its fourth straight drop, confirmed it was in bear market territory on March 7 and has declined roughly 30% this year.The CBOE Volatility index, also known as Wall Street's fear gauge, spiked to its highest level since May 9 at 35.05 before closing at 34.02. Still, many analysts view the level as somewhat subdued and could mean more selling pressure is in store.\"This is a market that does not look like it is capitulating as much as it is frustrated,\" said Rob Haworth, senior investment strategist at U.S. Bank Wealth Management in Seattle.\"Even with some of the securities being thrown out, it is just not deep enough, violent enough to see that people have taken positions off.\"Cryptocurrency- and blockchain-related stocks, including Riot Blockchain, Marathon Digital Holdings and Coinbase Global, all plunged as bitcoin slumped more than 10% after major U.S. cryptocurrency lending company Celsius Network froze withdrawals and transfers citing \"extreme\" conditions.Volume on U.S. exchanges was 14.98 billion shares, compared with the 11.95 billion average for the full session over the last 20 trading days.Declining issues outnumbered advancing ones on the NYSE by a 16.62-to-1 ratio; on Nasdaq, a 7.00-to-1 ratio favored decliners.The S&P 500 posted 1 new 52-week highs and 76 new lows; the Nasdaq Composite recorded 12 new highs and 743 new lows.","news_type":1},"isVote":1,"tweetType":1,"viewCount":396,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052597967,"gmtCreate":1655192423559,"gmtModify":1676535578603,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4087188383113840","idStr":"4087188383113840"},"themes":[],"htmlText":"Like for likes&nbsp;","listText":"Like for likes&nbsp;","text":"Like for likes","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052597967","repostId":"1141525925","repostType":4,"isVote":1,"tweetType":1,"viewCount":387,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":9052595725,"gmtCreate":1655192254467,"gmtModify":1676535578565,"author":{"id":"4087188383113840","authorId":"4087188383113840","name":"Racoon","avatar":"https://static.tigerbbs.com/9dcbfb23938ee4a3dee3e635f94f81ea","crmLevel":2,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"4087188383113840","idStr":"4087188383113840"},"themes":[],"htmlText":"Good","listText":"Good","text":"Good","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/9052595725","repostId":"2243690068","repostType":4,"isVote":1,"tweetType":1,"viewCount":269,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"lives":[]}