Lesson 1
NVIDIA H100 Price Per Hour Explained
H100 price per hour is the hourly cost of accessing one NVIDIA H100 GPU for an AI workload.
Compute College track
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.
Lesson order
Work through these lessons in sequence to build a usable understanding of this AI compute topic.
Lesson 1
H100 price per hour is the hourly cost of accessing one NVIDIA H100 GPU for an AI workload.
Lesson 2
H200 price per hour is the hourly cost of accessing one NVIDIA H200 GPU for AI workloads.
Lesson 3
B200 price per hour is the hourly cost of accessing NVIDIA B200-generation AI compute capacity.
Lesson 4
GPUs, TPUs, and custom ASICs are different kinds of AI accelerator that trade flexibility for efficiency on targeted workloads.
Lesson 5
On-demand, reserved, and spot GPU pricing are three ways buyers obtain and pay for AI compute capacity.
Lesson 6
How rented accelerator capacity turns GPU access into observable market pricing.
Lesson 7
How interruptible GPU capacity prices expose marginal AI compute supply.
Lesson 8
GPU cloud capacity is buyer-accessible accelerator supply available for AI workloads through cloud providers.
Market signal
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
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.
Put it to work
Use your own workload assumptions to turn this track into a practical cost estimate.
Open the calculator and adjust inputs for your own workload, quote, or budget scenario.
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