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- Data centerreported
Microsoft Fairwater Wisconsin: dedicated 1.5GW OpenAI training campus
Microsoft's Mount Pleasant, WI "Fairwater" campus — disclosed as a dedicated OpenAI training facility — reached 1.5GW configuration by Q1 2026 with NVIDIA GB200 NVL72 racks. The site uses closed-loop water cooling to reduce evaporative loss. Total Microsoft AI capex run-rate for FY26 is ~$110B.
- Accelerators
- GB200
- Power
- 1.50 GW
- Location
- Mount Pleasant, WI
- Data centerverified
Stargate Abilene: OpenAI + Oracle + SoftBank $500B compute pact, first 1.2GW campus
Stargate is a 4-year, $500B compute commitment announced January 2025, jointly funded by OpenAI, Oracle, SoftBank, and MGX. The flagship 1.2GW Abilene, TX campus came online in phases through 2025–2026, anchored by Oracle Cloud. Additional sites in Wisconsin and New Mexico are under construction. Powers OpenAI's training fleet for GPT-5.5 and beyond.
- Power
- 1.20 GW
- Capex
- $500B
- Location
- Abilene, TX