Understand the cost and availability of AI compute.

Free Morning Brief: Tuesday, June 9, 2026

ComputeTape tracks GPU pricing, model costs, provider capacity, power constraints, and the infrastructure shaping the AI market.

Learn how GPUs, model costs, power, and data centers shape the market — in plain English.
Estimate GPU-hour, training-run, and model serving costs with free calculators.
Track daily pricing, capacity, and power signals in the Morning Brief.

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Lesson of the Day

What is GPU Cloud Capacity?

Learn the AI compute market one concept at a time.

GPU cloud capacity is buyer-accessible accelerator supply available for AI workloads through cloud providers.

GPU Pricing & Capacity

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Track 1 · AI Compute 101Start: What is AI compute
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Track 2 · GPU Pricing & CapacityStart: H100 price per hour
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Track 3 · Model CostsStart: What is model training cost
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Track 4 · Model Benchmarks & AI Compute EconomicsStart: What are AI model benchmarks
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Track 5 · Power & Data CentersStart: Why power matters
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Track 6 · Compute Market StructureStart: What is a neocloud
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Track 7 · Compute FuturesStart: What are compute futures
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Track 8 · Buyers & OperatorsStart: How AI labs buy compute
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Learn the Market

Term of the Day: Latency

Latency is the delay between a user request and the model response. In AI applications, latency can include queue time, model processing time, network time, and the speed of generating output tokens. Lower latency usually requires better infrastructure or more available capacity.

What is ComputeTape?

Your practical guide to the AI compute market.

ComputeTape helps you understand the cost and availability of AI compute — from GPU pricing and cloud capacity to power constraints, model training and serving costs, and the providers behind them.

Learn how the market works, estimate real compute costs, compare providers, and track the signals that show when AI compute is tightening, loosening, or shifting before it reaches the headlines.

Use ComputeTape to

Learn AI compute in plain English.
Estimate GPU-hour, training, and model serving costs.
Compare source-backed GPU providers.
Track daily price, capacity, and power signals.

Providers

On-demand H100 prices from tracked GPU providers

Live list price per GPU-hour and the H100-equivalent rate for each provider, each from a public price page with an editorial check and the date the price has held since. Rows whose source has not been checked yet are kept in the data but not shown.

AWS$12.29/GPU-hr
HyperscalersH100us-east-1$12.29 H100eas of May 15, 2026Source
Azure$12.29/GPU-hr
HyperscalersH100eastus$12.29 H100eas of May 15, 2026Source
CoreWeave$6.16/GPU-hr
AI-native cloudsH100us$6.16 H100eas of May 15, 2026Source
Crusoe$3.90/GPU-hr
AI-native cloudsH100Multi-region$3.90 H100eas of May 27, 2026Source