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Which companies are in the AI infrastructure supply chain?

AlphaOS investment intelligence · Research and education only — not investment advice · Updated Sep 27, 2026

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The AI infrastructure supply chain spans semiconductors, networking, power, cooling, cloud platforms, and software, with key public companies including NVIDIA, AMD, Intel, Broadcom, Marvell, Taiwan Semiconductor (TSMC), Arista Networks, Vertiv, Eaton, Schneider Electric, Super Micro Computer, Dell Technologies, Microsoft, Amazon, and Google. NVIDIA dominates GPU compute with approximately 80% data center AI accelerator market share. The supply chain is highly concentrated at the silicon layer, where TSMC manufactures the vast majority of leading-edge AI chips on its 3nm and 5nm nodes. Hyperscalers — Microsoft Azure, AWS, and Google Cloud — represent the primary demand engine, collectively spending over $200 billion in combined annual capex in 2024, much of it directed at AI infrastructure buildout.

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Key Takeaways

  • NVIDIA holds ~80% share of AI accelerator GPUs; its H100 and H200 chips are the de facto standard for large-scale model training and inference
  • TSMC is the sole manufacturer of the most advanced AI chips (3nm/5nm nodes), making it a single-point-of-concentration for the entire supply chain
  • Custom silicon (ASICs) is growing rapidly — Google (TPUs), Amazon (Trainium/Inferentia), Microsoft (Maia), and Meta (MTIA) are all reducing reliance on merchant silicon
  • Networking is a critical bottleneck: Broadcom, Marvell, and Arista Networks supply high-speed interconnects (InfiniBand, Ethernet) essential for scaling AI clusters
  • Power and cooling infrastructure is a major constraint; Vertiv, Eaton, and Schneider Electric supply power distribution and thermal management systems for hyperscale AI data centers
  • Server ODMs and OEMs — Super Micro Computer, Dell, and HPE — integrate GPUs and networking into deployable AI server racks and clusters
  • Memory is a critical subsystem: SK Hynix and Samsung dominate HBM (High Bandwidth Memory) supply, which is co-packaged with NVIDIA and AMD GPUs
  • Equipment suppliers to TSMC — ASML (EUV lithography), Applied Materials, Lam Research, KLA — are upstream enablers of all advanced AI chip production

Evidence & Analysis

  • Microsoft, Google, Amazon, and Meta disclosed a combined ~$220 billion in capex guidance for 2024, with AI infrastructure cited as the primary driver of acceleration
  • NVIDIA's data center segment revenue reached $47.5 billion in fiscal year 2024, up approximately 217% year-over-year, driven entirely by AI demand
  • SK Hynix holds an estimated 50%+ share of HBM3/HBM3e supply; HBM is embedded directly in NVIDIA and AMD AI GPU packages and is supply-constrained
  • ASML is the only company capable of producing EUV lithography machines required for sub-7nm chip fabrication; its order backlog exceeded €35 billion in 2024
  • Super Micro Computer reported fiscal 2024 revenue of approximately $14.9 billion, driven primarily by AI server rack deployments for hyperscalers and enterprises
  • Broadcom's management guided to a $60-90 billion total addressable market for custom AI accelerators by fiscal year 2027, based on three hyperscaler ASIC programs

Key Companies

NVDA

NVIDIA Corporation

Dominant AI GPU supplier with ~80% data center accelerator share; H100/H200/Blackwell architecture drives training and inference workloads

TSM

Taiwan Semiconductor Manufacturing Company

Sole-source manufacturer of leading-edge AI chips at 3nm/5nm nodes; manufactures chips for NVIDIA, AMD, Apple, Google, and Amazon

AVGO

Broadcom Inc.

Leading supplier of custom AI ASICs (for Google, Meta) and high-speed networking silicon (Tomahawk, Jericho); estimated $10B+ AI revenue run-rate

ANET

Arista Networks

Primary supplier of high-speed Ethernet switching for AI/ML data center fabrics; displacing InfiniBand in large-scale AI clusters

VRT

Vertiv Holdings

Critical supplier of power distribution units, thermal management, and liquid cooling systems purpose-built for AI data center density requirements

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