Key Product
EC2 GPU instances, Trainium/Inferentia chips
Full briefing▼ Expand
Amazon Web Services is the world's largest cloud provider and one of the largest buyers of AI GPU infrastructure. AWS purchases NVIDIA H100/H200 GPUs in volume and provides them as EC2 GPU instances (p4, p5 family) to enterprise customers. Simultaneously, AWS designs its own custom AI chips — Trainium (for training) and Inferentia (for inference) — to reduce dependence on NVIDIA and offer lower-cost alternatives. AWS's scale makes it a major demand driver for every upstream supplier in the AI hardware supply chain, from TSMC foundry capacity to SK Hynix HBM memory. The hyperscaler's procurement decisions ripple through the entire supply chain, as multi-year GPU purchase agreements directly determine allocation priorities at TSMC and NVIDIA.
Connected companies
Tap a chip to trace that company's chain.
Critical path — raw silicon to deployment
The tightest single-source dependencies, in order.
FOUNDRIES
TSMC
CoWoS advanced packaging, N3/N2 logic
CHIP DESIGNERS
Marvell
OCTEON network processors, custom cloud AI ASICs, 400G/800G Ethernet PHYs
POWER & COOLING
Vertiv
Liquid cooling, UPS, PDU systems
CLOUD PROVIDERS
AWS
EC2 GPU instances, Trainium/Inferentia chips
AI CONSUMERS
Anthropic
Claude 3.5 Sonnet, Claude 3 Opus (frontier AI models)
QWho supplies AWS?
AWS relies on 9 upstream suppliers across the AI chip supply chain.
Super Micro (Leading GPU server ODM for AI data centers), Wiwynn (Major ODM server manufacturer for hyperscalers), Vertiv (Critical power and thermal management for AI data centers), Quanta Computer (World's largest ODM by revenue; primary AI server manufacturer for Google, Meta, Amazon, and Microsoft), Marvell (Custom AI ASIC and networking chip designer for hyperscalers; key supplier of Arm-based data center networking and storage controllers to AWS, Azure, and Google), and 4 more.
QWhat does AWS make?
World's largest cloud provider and AI infrastructure buyer
Key products EC2 GPU instances, Trainium/Inferentia chips