Lesson 1
What is AI compute?
The basic resource behind training and running AI models.
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Compute College track
AI Compute 101
Start here if you are new to AI compute. Learn the basic units, chips, costs, and constraints behind training and running AI models.
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
Why compute matters
The resource that turns AI ambition into real-world capacity.
Lesson 3
What is a GPU-hour?
The basic unit behind compute pricing.
Lesson 4
H100 vs H200 vs B200
How accelerator generations change performance, supply, and cost.
Lesson 5 · 5-8 minutes
What is Model Training Cost?
Model training cost is the compute expense required to teach or improve an AI model from data.
Lesson 6 · 5-8 minutes
What is Frontier Model Serving Cost?
Frontier model serving cost is the estimated expense of running a leading AI model for users after training.
Lesson 7
Why power matters
Why electricity and site capacity shape AI compute markets.
Market signal
How this track helps you read the AI compute market
This track helps you understand why GPU-hours, accelerator generations, power limits, and capacity constraints show up in AI compute pricing and infrastructure news.
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