Lesson 1 · 5-8 minutes
H100 Price Per Hour Explained
H100 price per hour is the hourly cost of accessing one NVIDIA H100 GPU for an AI workload.
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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.
Who this is for: Founders, analysts, operators, investors, product teams, and curious readers trying to understand the AI compute market.
7Lessons
Ordered lessons for building practical AI compute fluency.
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Lesson order
Recommended lesson order
Work through these lessons in sequence to build a usable understanding of this AI compute topic.
Lesson 2 · 5-8 minutes
H200 Price Per Hour Explained
H200 price per hour is the hourly cost of accessing one NVIDIA H200 GPU for AI workloads.
Lesson 3 · 5-8 minutes
B200 Price Per Hour Explained
B200 price per hour is the hourly cost of accessing NVIDIA B200-generation AI compute capacity.
Lesson 4 · 5-8 minutes
On-Demand vs Reserved vs Spot GPU Pricing
On-demand, reserved, and spot GPU pricing are three ways buyers obtain and pay for AI compute capacity.
Lesson 5
What are GPU rentals?
How buyers rent accelerator capacity and what rental signals can reveal.
Lesson 6
What are spot prices?
How short-term, interruptible capacity can become a pricing signal.
Lesson 7 · 5-8 minutes
What is GPU Cloud Capacity?
GPU cloud capacity is buyer-accessible accelerator supply available for AI workloads through cloud providers.
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.
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Estimate AI compute costs
Use your own workload assumptions to turn this track into a practical cost estimate.
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Open the calculator and adjust inputs for your own workload, quote, or budget scenario.
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