Nvidia: Investments In AI Minnows Is A Strategy For Sustaining Leadership

seekingalpha03-22

Nvidia Corporation strategically invests in key sectors of the AI space to enhance its future capabilities and bottom line.Investments in Databricks, ARM Inc., Recursion Pharmaceuticals, and ...

Source Link

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

We need your insight to fill this gap

Leave a comment

{"i18n":{"language":"en_US"},"isChannel":false,"data":{"share":"https://ttm.financial/m/news/2421166029?lang=en_US&edition=fundamental","thumbnail":"https://static.seekingalpha.com/cdn/s3/uploads/getty_images/1452658314/image_1452658314.jpg","is_english":true,"pubTime":"2024-03-22 00:34","share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","id":"2421166029","market":"sh","top_or_hot":-1,"title":"Nvidia: Investments In AI Minnows Is A Strategy For Sustaining Leadership","media":"seekingalpha","content":"<div>\n<p>Nvidia Corporation strategically invests in key sectors of the AI space to enhance its future capabilities and bottom line.Investments in Databricks, ARM Inc., Recursion Pharmaceuticals, and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4679659-nvidia-investments-in-ai-minnows-strategy-for-sustaining-leadership\">Source Link</a>\n\n</div>\n","source":"seekingalpha","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: Investments In AI Minnows Is A Strategy For Sustaining Leadership</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: Investments In AI Minnows Is A Strategy For Sustaining Leadership\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-03-22 00:34 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4679659-nvidia-investments-in-ai-minnows-strategy-for-sustaining-leadership><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Nvidia Corporation strategically invests in key sectors of the AI space to enhance its future capabilities and bottom line.Investments in Databricks, ARM Inc., Recursion Pharmaceuticals, and ...</p>\n\n<a href=\"https://seekingalpha.com/article/4679659-nvidia-investments-in-ai-minnows-strategy-for-sustaining-leadership\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"SOUN","symbol_name":"SoundHound AI Inc","start_time":0,"source_url":"https://seekingalpha.com/article/4679659-nvidia-investments-in-ai-minnows-strategy-for-sustaining-leadership","article_id":"2421166029","we_media_id":null,"thumbnails":["https://static.seekingalpha.com/cdn/s3/uploads/getty_images/1452658314/image_1452658314.jpg"],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2421166029","pubTimestamp":1711038891,"sourceInfo":{"source_id":"seekingalpha","name":"Seeking Alpha"},"weMediaInfo":null,"summary":"Nvidia Corporation strategically invests in key sectors of the AI space to enhance its future capabilities and bottom line.Investments in Databricks, ARM Inc., Recursion Pharmaceuticals, and SoundHoun","collect":0,"end_time":0,"defaultTopTitle":"seekingalpha.com","property":[],"viewcount":null,"language":"en","relate_stocks":{"SOUN":"SoundHound AI Inc","LU0170899867.USD":"EASTSPRING INVESTMENTS WORLD VALUE EQUITY  \"A\" (USD) ACC","LU0238689110.USD":"贝莱德环球动力股票基金","RXRX":"Recursion Pharmaceuticals, Inc.","BK4196":"保健护理服务","LU0072462426.USD":"贝莱德全球配置 A2","LU0053666078.USD":"摩根大通基金-美国股票A（离岸）美元","LU0079474960.USD":"联博美国增长基金A","LU0082616367.USD":"摩根大通美国科技A（dist）","BK4535":"淡马锡持仓","GB00BDT5M118.USD":"天利环球扩展Alpha基金A Acc","BK4082":"医疗保健设备","LU0080751232.USD":"富达环球多元动力基金A","LU0056508442.USD":"贝莱德世界科技基金A2","LU0640476718.USD":"THREADNEEDLE (LUX) US CONTRARIAN CORE EQ \"AU\" (USD) ACC","BK4527":"明星科技股","TSPH":"TuSimple Holdings Inc.","BK4559":"巴菲特持仓","BK4116":"互联网服务与基础架构","LU1803068979.SGD":"FTIF - Franklin Technology A (acc) SGD-H1","IE00BJJMRY28.SGD":"Janus Henderson Balanced A Inc SGD","LU0308772762.SGD":"Blackrock Global Allocation A2 SGD-H","NNOX":"Nano-X Imaging Ltd.","LU0234572021.USD":"高盛美国核心股票组合Acc","IE00BKDWB100.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5H\" (SGDHDG) ACC","IE00BMPRXN33.USD":"NEUBERGER BERMAN 5G CONNECTIVITY \"A\" (USD) ACC","LU0109392836.USD":"富兰克林科技股A","SNOW":"Snowflake","BK4551":"寇图资本持仓","LU0353189763.USD":"ALLSPRING  US ALL CAP GROWTH FUND \"I\" (USD) ACC","BK4505":"高瓴资本持仓","IE00BWXC8680.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5\" (SGD) ACC","LU0097036916.USD":"贝莱德美国增长A2 USD","LU0466842654.USD":"HSBC ISLAMIC GLOBAL EQUITY INDEX \"A\" (USD) ACC","NVDA":"英伟达","BK4549":"软银资本持仓","BK4232":"货物陆运","IE00B3M56506.USD":"NEUBERGER BERMAN EMERGING MARKETS EQUITY \"A\" (USD) ACC","LU0444971666.USD":"天利全球科技基金","IE00BD6J9T35.USD":"NEUBERGER BERMAN NEXT GENERATION MOBILITY \"A\" (USD) ACC","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - USA GROWTH \"P\" (USD) ACC","LU0276348264.USD":"THREADNEEDLE (LUX) GLOBAL DYNAMIC REAL RETURN\"AUP\" (USD) INC","LU0061475181.USD":"THREADNEEDLE (LUX) AMERICAN \"AU\" (USD) ACC","IE0034235188.USD":"PINEBRIDGE GLOBAL FOCUS EQUITY \"A\" (USD) ACC","LU1951200564.SGD":"Natixis Thematics AI & Robotics Fund R/A SGD","BK4554":"元宇宙及AR概念","LU0256863811.USD":"ALLIANZ US EQUITY \"A\" INC","BK4567":"ESG概念"},"translate_title":"英伟达：投资人工智能小鱼是保持领导地位的战略","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"TSPH":1,"SOUN":1,"SNOW":1,"RXRX":1,"NVDA":1,"NNOX":1},"content_text":"Nvidia Corporation strategically invests in key sectors of the AI space to enhance its future capabilities and bottom line.Investments in Databricks, ARM Inc., Recursion Pharmaceuticals, and SoundHound AI have the potential to boost Nvidia's earnings.Partnerships with Databricks and ARM Inc. can optimize software and expand AI technology beyond GPUs, while collaborations with Recursion Pharmaceuticals and SoundHound AI can accelerate drug discovery and enhance voice AI solutions.   banabana-san/iStock via Getty Images Preamble Artificial intelligence (\"AI\") is briskly revolutionizing numerous industries, and NVIDIA Corporation (NASDAQ:NVDA) is an undeniable leader in developing AI hardware and software. To maintain its competitive edge, Nvidia has strategically invested in several key sectors in the AI space. Whilst it is true that these investments are insignificant in terms of immediate financial returns, they hold the potential to substantially enhance Nvidia's future AI capabilities and bottom line. Back on the 14th September 2023, it was announced that Nvidia had participated in Databricks’ Series I funding, which raised over $500 million. In the press release, no information was given regarding the size of Nvidia’s investment in Databricks, although, the Form 10-K on page 52 shows an increase in “other,” which would include non-marketable securities, of $680 Million, indicative of a sizable contribution to the $500 million raised, although, this is chump change for this $2.16 Trillion dollar company. On Wednesday 14th February, Nvidia disclosed in a filing that it held publicly traded stocks in five companies linked to AI: Arm Holdings plc (ARM), SoundHound AI, Inc. (SOUN), Recursion Pharmaceuticals (RXRX), Nano-X Imaging (NNOX) and TuSimple (TSPH). The amount invested in each of these companies also amounted to a paltry sum for a company the size of Nvidia. Even if the value of these investments were to triple, the overall profit would be microscopic compared to the last quarterly earnings of over $12 Billion. However, it is my contention that, combined, these investments are underappreciated by Nvidia investors, and will, in time, enable Nvidia to remain the leader of the AI pack. Personally, I believe, if I may quote Jnr Choi’s finely crafted lyrics, “the ting gon turn up.” That is to say, I expect Nvidia to continue its rise for the foreseeable future. In the article, I describe how three of Nvidia’s investments will, potentially, boost the company’s earnings going forward. Databricks Nvidia invested in privately held Databricks, a rapidly growing leader in data analytics with a user-friendly cloud platform. Databricks focuses on open-source tools, attracting a large developer base and propelling them to acquire more customers. This strategy positions them well for the booming big data market. There has been an impressive surge in the number of customers Databricks has signed up to their offering. In 2021, the company stated that “more than 5,000 organizations worldwide” used Databrick’s platform but in 2023, the company claimed to have more than 10,000 customers. The partnership with Nvidia will, I believe, help to solidify their place at the forefront of AI innovation. What’s In It For Nvidia? Obviously, Databricks' software runs on top of computer hardware, and Nvidia is a major player in that space with their graphics processing units (GPUs). By working together, they can optimize Databricks' software to run better on Nvidia GPUs, making both companies' products more attractive. (I cover Databricks in more detail in a recent article I wrote about Snowflake Inc. (SNOW)) Secondly, Databricks is a leader in data analytics, a field that's crucial for developing AI. By having a stake in Databricks, Nvidia gains a partner that can help them develop better AI tools and solutions. This can strengthen Nvidia's position in the overall AI market. During the recent earnings call, Nvidia's Chief Financial Officer Colette Kress stated that the company \"also made great progress with our software and services offerings, which reached an annualized revenue run rate of $1 billion in Q4.\" This is a big deal, because it showcases Nvidia's ambitions to build beyond semiconductors. In short, this investment has created a win-win situation. Nvidia gets to partner with a leading AI software company, and Databricks gets access to Nvidia's powerful hardware. Arm Holdings Arm Holdings, a British-based chip design giant, has revolutionized mobile computing. They license their energy-efficient designs, powering over 90% of smartphones from Apple, Samsung, and Qualcomm. Their reach extends beyond mobile to IoT devices, servers, and even laptops. Nvidia, the leader in graphics processing units (GPUs), attempted a record-breaking acquisition of ARM in 2020. This aimed to combine the two chip powerhouses, but concerns over competition and innovation led to a failed deal. However, Nvidia retains a substantial stake in ARM. Despite this failed merger, collaboration opportunities remain. Both are leaders in AI, and their technologies could work together in areas such as self-driving cars and high-performance computing. Potential For Embedding Nvidia AI In ARM CPUs To begin with, there is an opportunity to embed Nvidia’s technology into an ARM design. Nvidia's AI processing cores or specialized accelerators could be licensed and incorporated directly into the ARM CPU design. This would allow ARM processors to handle basic AI tasks on-device without needing a separate Nvidia GPU. In addition, perhaps there is a way for Nvidia’s software to be integrated into a customer’s solution. Nvidia's AI software frameworks, such as TensorRT, could be optimized to run on ARM CPUs. This would leverage existing ARM processing power for specific AI functions, while still relying on Nvidia's expertise for the software tools. Both approaches would extend Nvidia's AI technology beyond their GPUs, creating a royalty stream from chip manufacturers licensing the tech for ARM CPUs in various devices. Recursion Pharmaceuticals Recursion Pharmaceuticals is a company that utilizes AI for drug discovery. Recursion's approach leverages machine learning to identify promising drug candidates. Potentially, this could significantly reduce the time it takes to discover new medicinal compounds. Their automated lab facilities churn out a staggering number of experiments, generating massive datasets for analysis. The AI \"learns\" by predicting potential drugs, synthesizing the most promising ones, and testing them in the lab. These results, positive or negative, continuously refine the model. Nvidia Win Recursion uses massive datasets for drug discovery, which requires immense computing power. Nvidia GPUs excel at processing large datasets efficiently. By collaborating, they can significantly accelerate the drug discovery process. The statistics the company offers are impressive. Its website claims its automated lab robotics enables it to conduct “up to 2.2 million experiments each week for up to 50 weeks per year,” All these experiments and trials generates an enormous amount of “proprietary high-dimensional data.” The idea is that the machine \"learns\" through predicting medicinal candidates for a particular malady, synthesizing the most promising ones and testing to see if they are potentially curative. The results of these tests, whether positive or negative, direct the machine’s future direction. Recursion's vast biological and chemical data provides a valuable training ground for Nvidia's AI models. This data can be used to refine AI algorithms specifically for drug discovery, leading to more accurate predictions and potential breakthroughs. Nvidia's BioNeMo platform is designed for AI-powered drug discovery. By working with Recursion, Nvidia can showcase BioNeMo's capabilities and potentially attract other pharmaceutical companies to the platform, creating a new revenue stream. SoundHound AI SoundHound, a voice AI company, has a market cap of over $2.5billion-dollars with revenues moving in a very healthy direction. Their stock has soared over 398% in just a year. Founded in 2005 as a music identification rival to Shazam, SoundHound now offers a broader range of AI-powered voice features. These include automated restaurant ordering and \"intelligent transcription,\" which goes beyond speech-to-text by recognizing topics and meaning. The Nvidia investment and the company's expanding voice AI solutions suggest a promising future, even if the path to profitability remains a mystery. A Potential Bonus For Nvidia By leveraging SoundHound’s expertise in complex voice recognition and natural language understanding (NLU). This could be integrated into Nvidia products like gaming consoles, self-driving cars, and smart assistants. Imagine voice commands in games that understand context or highly accurate voice control in a car. Voice solutions could become customizable since SoundHound's platform, Houndify, allows developers to build custom voice experiences. Nvidia could offer pre-built voice solutions powered by SoundHound for developers using their hardware, making it easier to create voice-enabled features. A significant win-win for both companies. SoundHound's technology excels in noisy environments. This would be crucial for voice assistants in living rooms or cars, or for voice chat in online games. Clearly, by integrating SoundHound's capabilities, Nvidia can significantly enhance the user experience of their products with more natural, accurate, and versatile voice interaction. Summary  Whilst there is likely very little prospect of gaining a substantial profit on investments in the companies listed above, there will likely be a significant boost to existing Nvidia Corporation product lines as a result of these investments","kind":null,"is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":1},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":true,"deviceId":"web-server-community-laohu8-v3","version":"4.28.3","shortVersion":"4.28.3","platform":"web","vendor":"web","appName":"ttm","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2421166029"}