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Nvidia's Defining Moment: Which Supply Chain Players Will Get Swept Up in the Earnings Whirlwind?

$NVIDIA(NVDA)$   is set to report its quarterly earnings after the market close on May 20. The market consensus anticipates revenue to reach approximately $78.7 billion, representing a 79% year-over-year increase and a 16% sequential growth, slightly surpassing the company's prior guidance of around $78 billion. Beyond its own fundamentals, these results will serve as a critical barometer for the entire AI supply chain, influencing market sentiment across the ecosystem.

Here is a comprehensive breakdown of the key players powering the AI infrastructure behind Nvidia:

Chip Manufacturing

Chip manufacturing forms the bedrock of Nvidia's high-performance hardware. $Taiwan Semiconductor Manufacturing(TSM)$   stands as Nvidia's most pivotal foundry partner, producing flagship GPUs like the Blackwell architectures. Procurement from TSMC accounts for over 37.35% of Nvidia's Cost of Goods Sold (COGS), with TSMC's advanced process technology being essential for achieving breakthroughs in both compute density and energy efficiency.

Memory Solutions

In the AI domain, memory bandwidth and capacity are paramount, driving distinct growth across various storage technologies. High Bandwidth Memory (HBM) is tailored specifically for GPUs, offering bandwidth magnitudes higher than traditional DDR5. SK Hynix, Samsung Electronics, and $Micron Technology (MU.US)$ are the three global giants dominating the HBM market and serve as Nvidia's primary memory suppliers. For massive datasets generated by AI training and inference, $Seagate Technology (STX.US)$ and $Western Digital (WDC.US)$ lead the HDD sector, providing irreplaceable cost advantages for cold data storage. Meanwhile, for hot data and high-performance computing, companies like Micron, Samsung, SK Hynix, and $SanDisk (SNDK.US)$ deliver the low latency and high throughput required by AI data centers through advanced SSDs and memory-chip solutions.

Packaging and Testing

Transforming raw wafers into usable, high-performance chips relies heavily on advanced packaging and testing. $Amkor Technology (AMKR.US)$ provides critical packaging services to Nvidia, with Nvidia-related business contributing over 5% of Amkor's total revenue. Its expertise in System-in-Package (SiP) and heterogeneous integration is vital for Nvidia's edge-computing and embedded-AI chips. Similarly, $ASE Technology (ASX.US)$ is a leader in the field, offering services for Nvidia's products manufactured in Taiwan. ASE's proficiency in CoWoS (Chip-on-Wafer-on-Substrate) advanced packaging provides the necessary process assurance for Nvidia's complex multi-chip integrations.

Interconnect Modules

AI data centers function as superclusters of tens of thousands of GPUs, relying on a robust "neural network" of optical and copper interconnects.

Optical Modules: Essential for long-distance, high-bandwidth data transmission in large AI clusters. $Coherent (COHR.US)$ supplies high-speed optical interconnect solutions (including 400G, 800G, and upcoming 1.6T modules) that underpin the "compute federation" of AI clusters. $Fabrinet (FN.US)$ acts as a hidden champion in this supply chain, with transactions involving Nvidia accounting for 27.6% of its revenue.

Copper Interconnects: For short-distance connections within data centers, copper solutions remain highly cost-effective. $Amphenol (APH.US)$ leads in connectors and interconnect systems, providing reliable high-speed copper-cable solutions for Nvidia's GPU servers. $Credo Technology (CRDO.US)$ specializes in high-speed serial interconnect chips that enhance the data rate and reach of copper cables, adding unique value to short-reach AI data center connections.

Supporting Chips and Infrastructure

Beyond the core GPU and memory, a suite of support chips and infrastructure is required for efficient system-level operation.

Interconnect Chips: $Broadcom (AVGO.US)$, $Marvell Technology (MRVL.US)$, and $Astera Labs (ALAB.US)$ are core players providing the essential interconnect chips that enable seamless communication within AI data centers.

Thermal Management: High-power-density AI servers demand advanced cooling. $Vertiv Holdings (VRT.US)$ offers system-level thermal solutions, ranging from cooling modules to holistic liquid-cooling technologies that provide significant advantages for Nvidia's AI servers.

Power Solutions: Stable and efficient power delivery is non-negotiable for high-performance GPUs. $Monolithic Power Systems (MPWR.US)$ is renowned for its high-efficiency, compact power-management ICs, with related revenue accounting for over 11% of its total. $Navitas Semiconductor (NVTS.US)$ pushes energy efficiency further with its Gallium Nitride (GaN) power solutions, providing technical support for the next generation of AI infrastructure.

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