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- Compute clusterreported
DeepSeek operates ~50k H800 GPU fleet despite export controls
DeepSeek's training fleet — believed to be ~50,000 H800 GPUs at peak — was assembled prior to the October 2023 US export controls extension. DeepSeek-V4-Pro's training run reportedly used <8M GPU-hours total, less than 10% of GPT-5's estimated budget, leveraging the hybrid CSA+HCA attention scheme to compress FLOPs.
- Accelerators
- 50k · H800
- Location
- Hangzhou, China