Lesson 1
Why power matters
Why electricity and site capacity shape AI compute markets.
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Compute College track
Power & Data Centers
Learn why electricity, cooling, networking, memory, and interconnection shape the real supply of AI compute.
Who this is for: Founders, analysts, operators, investors, product teams, and curious readers trying to understand the AI compute market.
15Lessons
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
What is a data center?
The physical site where chips, power, cooling, networking, and operations come together.
Lesson 3
Why cooling matters
Why heat limits how densely AI chips can be deployed and operated.
Lesson 4
Why networking matters
Why fast interconnects turn individual chips into useful AI clusters.
Lesson 5
Why memory matters
Why high-bandwidth memory can constrain accelerator supply and model performance.
Lesson 6 · 5-8 minutes
What is an AI Cluster?
An AI cluster is a connected system that turns many GPUs and supporting infrastructure into usable model-training or serving capacity.
Lesson 7 · 5-8 minutes
What is NVLink?
NVLink is a high-speed GPU connection technology that helps accelerators coordinate work inside AI systems.
Lesson 8 · 5-8 minutes
What is InfiniBand?
InfiniBand is high-performance networking used to connect servers in many large AI clusters.
Lesson 9 · 5-8 minutes
What is Liquid Cooling?
Liquid cooling removes heat from dense AI hardware so more compute can operate reliably in a facility.
Lesson 10 · 5-8 minutes
What is Data Center Interconnection?
Data center interconnection links AI capacity to networks, clouds, data sources, and buyers who need to use it.
Lesson 11 · 5-8 minutes
What is Power Usage Effectiveness (PUE)?
Power Usage Effectiveness measures how much facility electricity is required to deliver useful IT power.
Lesson 12 · 5-8 minutes
What is a Megawatt of AI Compute?
A megawatt of AI compute is a power-based way to describe possible data-center and accelerator capacity.
Lesson 13 · 5-8 minutes
What is a Data Center Interconnection Queue?
A data center interconnection queue is the waiting line for large facilities seeking electrical grid connection.
Lesson 14 · 5-8 minutes
What is AI Data Center Cooling Density?
AI data center cooling density describes the heat-removal capacity required by concentrated GPU racks.
Lesson 15 · 5-8 minutes
What is High-Bandwidth Memory (HBM)?
High-bandwidth memory is fast memory located near advanced accelerators to keep AI workloads supplied with data.
Market signal
How this track helps you read the AI compute market
This track helps readers translate power deals, data-center announcements, cooling upgrades, and grid constraints into AI compute supply signals.
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