Lesson 1
Why power matters for AI compute capacity
Why electricity, interconnection, and site readiness now constrain GPU deployment.
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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.
17 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
Recommended lesson order
Work through these lessons in sequence to build a usable understanding of this AI compute topic.
Lesson 2
What is an AI data center? Power, cooling, and GPU capacity
The facility stack that turns accelerators into operating AI compute supply.
Lesson 3
Why cooling matters for AI data centers and GPU density
How heat removal limits rack density, power use, and deliverable AI compute.
Lesson 4
Why networking matters for AI clusters and training cost
How interconnect quality turns GPU count into useful clustered compute.
Lesson 5
Why memory matters for AI accelerators and HBM supply
How high-bandwidth memory affects model fit, GPU value, and accelerator availability.
Lesson 6
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
What is NVLink?
NVLink is a high-speed GPU connection technology that helps accelerators coordinate work inside AI systems.
Lesson 8
What is InfiniBand?
InfiniBand is high-performance networking used to connect servers in many large AI clusters.
Lesson 9
What is NVL72? Scale-Up vs Scale-Out
NVL72-style rack systems link many GPUs into one; it illustrates scale-up (bigger tightly-coupled units) versus scale-out (more networked units).
Lesson 10
What is Liquid Cooling?
Liquid cooling removes heat from dense AI hardware so more compute can operate reliably in a facility.
Lesson 11
What is Data Center Interconnection?
Data center interconnection links AI capacity to networks, clouds, data sources, and buyers who need to use it.
Lesson 12
PUE Meaning and Power Usage Effectiveness Formula
Power Usage Effectiveness measures how much facility electricity is required to deliver useful IT power.
Lesson 13
Power Sourcing for AI: PPAs and Behind-the-Meter
AI data centers secure electricity through PPAs, behind-the-meter generation, and firm low-carbon sources like nuclear and SMRs.
Lesson 14
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 15
What is a Data Center Interconnection Queue?
A data center interconnection queue is the waiting line for large facilities seeking electrical grid connection.
Lesson 16
What is AI Data Center Cooling Density?
AI data center cooling density describes the heat-removal capacity required by concentrated GPU racks.
Lesson 17
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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