gpt.buzz
Sign in

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 published

Signals

3 events
  • Siliconverified

    Google TPU v7 "Ironwood": 9,216-chip pods, 42.5 exaflops, dedicated to inference

    Announced at Google Cloud Next April 2026, TPU v7 (Ironwood) is the first Google TPU generation purpose-built for inference rather than training. Each pod scales to 9,216 chips delivering 42.5 exaflops of FP8 compute, with 192GB HBM3e per chip. Powers Gemini 3 Pro / 3.5 inference at Google scale. Annual TPU spend ramped to over $40B for FY26.

    Accelerators
    TPU v7 Ironwood
  • Powerreported

    Google Stone Mountain GA campus expanding to 2GW with on-site solar+gas hybrid

    Google's Stone Mountain, Georgia data center cluster — built around Gemini training — disclosed a 2GW expansion plan in early 2026 backed by a 1.6GW solar+gas hybrid generation deal with Southern Company. Site will host the second-largest TPU v7 deployment after Council Bluffs, IA.

    Power
    2 GW
    Location
    Stone Mountain, GA
  • 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