AI compute market signals and learning
← Back to Compute College

Compute College track

GPU Pricing & Capacity

Learn how H100, H200, and B200 pricing works, why rates vary, and how on-demand, reserved, and spot GPU capacity differ.

8 free lessons, no account required. Who this is for: Founders, analysts, operators, investors, product teams, and curious readers trying to understand the AI compute market.

Market signal

How this track helps you read the AI compute market

This track helps you compare accelerator quotes, spot availability, and reserved access terms as signals of buyer-accessible AI compute supply and pricing pressure.

Live data

See current GPU cloud pricing

The GPU Pricing Hub shows the sourced per-chip on-demand price bands and per-provider H100 rates these lessons teach you to read — every row linked to a public price page and dated.

Open current GPU cloud pricing

Put it to work

Estimate AI compute costs

Use your own workload assumptions to turn this track into a practical cost estimate.

Keep up with the market

Follow the market after the lesson

Get the ComputeTape Morning Brief for daily AI compute pricing, power, capacity, and infrastructure signals — plus a different Compute College lesson highlighted each day.

Get the Morning Brief