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A clearer way into AI compute

Term of the Day

Export control

Export controls are government rules that restrict where certain chips, systems, or technologies can be sold. AI accelerators are affected because advanced chips can support strategic and military-relevant capabilities. Restrictions can change demand flows, chip designs, and regional access to compute.

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Today's Lesson

Benchmark score vs production cost

Learn why higher AI benchmark scores may not lower production cost, and how token usage, latency, retries, and context size affect serving spend.

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Compute College curriculum

Build a working mental model, one lesson at a time.

81 plain-English lessons across 9 tracks — from GPUs and model costs to prompt design, context, power, data centers, and market structure.

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NewNew Compute College track

Prompt & Context Engineering

Learn how prompts and context shape model quality, token usage, latency, retries, and inference cost.

2 lessons · Free · No account required

Providers

On-demand GPU prices from tracked providers

Current reviewed list price per GPU-hour and the H100-equivalent rate for each provider, each from a public price page with an editorial check and how long that price has held. Rows outside the review window are kept in the source data but not shown.

  • AWS$6.88/GPU-hr
    HyperscalersH100us-east-1
    Held 41 days
  • Azure$12.29/GPU-hr
    HyperscalersH100eastus
    Held 78 days
  • CoreWeave$6.16/GPU-hr
    AI-native cloudsH100us
    Held 15 days
  • Hyperstack$3.20/GPU-hr
    Developer GPU cloudsH100Multi-region
    Held 25 days

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