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
2 events- GPU supplyverified
NVIDIA GB300 ships at volume Q2 2026, replacing GB200 in hyperscaler deals
GB300 NVL72 began volume shipments in April 2026, six months ahead of original schedule. Each rack delivers 1.4x the FP8 throughput of GB200 NVL72 with the same power envelope. Microsoft, Oracle, and xAI are the largest Q2 2026 takers. CoreWeave disclosed first GB300 deployment May 7.
- Accelerators
- GB300
- GPU supplyreported
TSMC doubles CoWoS-L capacity to ~80k wafers/month for 2026 AI demand
TSMC's CoWoS-L advanced-packaging capacity — the binding constraint on Blackwell + Ironwood + Trainium2 supply — was doubled to ~80,000 wafers/month for 2026. Even after the expansion, every major customer (NVIDIA, Google, AWS, Marvell) remains capacity-constrained. CoWoS-L allocation has become the single most important variable in vendor compute roadmaps.