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What the benchmarks say

Updated July 21, 2026 at 6:00 AM EDT
BenchmarkValueChangeLast change
H100 IndexOn-demand median · CT-H100$5.22 / H100-hrFlatJul 17, 2026Spot Compute PriceInterruptible capacity$2.46 / H100e-hourDaily flatMay 27, 2026Enterprise 7B Training CostReference training cost$57,943 / reference training runDaily flatJun 22, 2026Model Serving CostModel serving cost$2.78 / 1M tokensDaily flatJun 22, 2026GPU AvailabilityCapacity access78.0 / 100 scoreDaily flatMay 27, 2026AI Compute Market RateBlended market rate$5.41 / H100e-hourDaily flatMay 27, 2026
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Term of the Day

Benchmark

A benchmark is a consistent reference point used to compare prices, costs, or market conditions over time. ComputeTape uses benchmarks to make AI compute markets easier to read. A good benchmark should be clear, source-backed, repeatable, and useful for decision-making.

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Today's Lesson

How to Estimate Monthly AI Compute Burn

Monthly AI compute burn measures recurring spending on the capacity used to train, fine-tune, experiment, and serve models.

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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 30 days
  • Azure$12.29/GPU-hr
    HyperscalersH100eastus
    Held 66 days
  • CoreWeave$6.16/GPU-hr
    AI-native cloudsH100us
    Held 3 days
  • Crusoe$3.90/GPU-hr
    AI-native cloudsH100Multi-region
    Held 54 days
See current GPU pricing Open the Provider Directory

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