Infrastructure intelligence
The hardware story behind frontier AI
Compute clusters, data centers, GPU supply, power deals, and capex — the physical layer that decides which labs can train tomorrow's frontier and at what unit cost. Editorial briefs synthesize the data; signals below are the atomic facts they're built on.
Editorial briefs
2 publishedBrief · May 20, 2026
The CoWoS bottleneck: why GPU supply still gates 2026 model roadmaps
Every Blackwell, Ironwood, and Trainium2 chip flows through one TSMC packaging line. Capacity doubled in 2026 — and every frontier lab is still constrained.
Brief · May 15, 2026
Anthropic's two-cloud bet: why Trainium plus TPU changes the math
Custom silicon on two hyperscalers gives Anthropic the lowest unit cost in the frontier — and the biggest single-vendor risk.
Signals
1 event- Partnershipverified
Anthropic adds up to 1M TPU v7 Ironwood chips via Google Cloud
Anthropic's November 2025 deal with Google Cloud expands its TPU footprint to up to 1M Ironwood (TPU v7) chips, supplementing the Trainium2 fleet on AWS. This makes Anthropic the rare frontier lab running heterogeneous custom silicon across two clouds. Deal value reportedly tens of billions over multiple years.
- Accelerators
- 1M · TPU v7 Ironwood