AI Infrastructure Supply Chain
AlphaOS supply chain intelligence · Last updated June 8, 2026 · Research and education only — not investment advice
The AI infrastructure supply chain spans from raw materials and semiconductor equipment through GPU manufacturing to cloud providers deploying compute at scale. Disruption at any tier cascades through the entire stack.
Supply Chain Map
Tier 1 — End Customers
Enterprises and AI companies consuming compute
- Microsoft(MSFT)
OpenAI partnership; Azure AI platform
- Alphabet(GOOGL)
Gemini models; Google Cloud TPUs
- Meta Platforms(META)
Llama models; largest private GPU cluster
- Amazon(AMZN)
AWS Bedrock; Trainium chips
Tier 2 — GPU Manufacturers
Companies designing AI accelerator chips
- NVIDIA(NVDA)
~80% AI GPU market share; H100/H200/B200
- AMD(AMD)
MI300X; alternative to NVIDIA for inference
- Intel(INTC)
Gaudi accelerators; smaller share
Tier 3 — Contract Foundries
Fabs that manufacture the chips
- TSMC(TSM)
Manufactures >90% of NVIDIA chips at 4nm/3nm
- Samsung(SSNLF)
HBM memory; alternative foundry
Tier 4 — Semiconductor Equipment
Companies making tools that build the fabs
- ASML(ASML)
Near-monopoly on EUV lithography equipment
- Applied Materials(AMAT)
Deposition and etch equipment
- Lam Research(LRCX)
Etch and deposition systems
- KLA Corporation(KLAC)
Process control and inspection
Tier 5 — Raw Materials
Materials and gases required for chip production
- Rare Earth Suppliers
~85% China-sourced; used in magnets and displays
- Specialty Gas Suppliers
Ultra-pure process gases for semiconductor fabs
Supply chain data derived from AlphaOS Knowledge Graph. Entity relationships reflect publicly available information. Content is for research and education only — not investment advice.