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AI Chips & ComputeAI 晶片與算力

223 articles collected

Behind every model are chips, buildings, and the power grid. This hub gathers the compute coverage on this site: NVIDIA and the wider silicon picture, data center buildouts and their costs, and what compute scarcity means for teams shipping AI products.

The posts cluster around three questions: where compute comes from and what constrains it (power, grid interconnection, supply chains); how major labs combine custom silicon, multi-vendor supply, and rented data centers; and what hardware-level shifts such as wafer-scale inference and confidential computing mean for cost and security.

The must-read picks lay out that throughline; the timeline lets you follow the buildout year by year.

MUST READS

  1. 01Anthropic Takes All of SpaceX's Colossus 1: Renting a Rival's Data Center to Feed Claude

    Anthropic signed for all of Colossus 1 — 220,000+ GPUs, 300+ MW in Memphis — to relieve Claude Pro and Max capacity strain, plus interest in GW-scale orbital compute. A multi-supplier strategy.

  2. 02Hardware-Rooted AI Security That Won't Slow You Down: NVIDIA Confidential Computing

    NVIDIA's Confidential Computing secures AI inference with minimal performance loss. Learn how it works, benchmark results, and practical considerations.

  3. 03GPT-5.6 Sol Ultrafast: Cerebras Pushes Inference to 750 Tokens per Second

    GPT-5.6 Sol Ultrafast, powered by Cerebras wafer-scale hardware, hits 750 output tokens per second. The hardware, the HLE and GDP-Val results, and what real-time speed unlocks for agents.

  4. 04OpenAI's Georgia Data Center Plan: More Than Compute, a Community Commitment

    Project Camellia: OpenAI's 3.2 GW Georgia data center — rate protection, closed-loop cooling, $80M community benefits, up to $71M Codex credits, and annual independent audits, with claims labeled.

  5. 05FERC Orders Grids to Fast-Track AI Data Center Connections

    FERC ordered six grid operators to fast-track AI data center interconnections: 30-day capacity reports, 60-day rate reviews, and data centers bearing their own costs.

  6. 06Google Cloud Tops $20B a Quarter, Stalled by Compute Supply

    Alphabet's Q1 2026: Google Cloud passed $20B in a quarter for the first time, up 63% YoY, yet Pichai admits Google is 'compute constrained' and backlog doubled to $462B.

TOPIC TIMELINE

All 223 articles in this hub, newest first.