Inside an AI Factory – Power, Cooling, and GPUs Explained
Discover the massive physical infrastructure powering the AI revolution, exploring everything from grid electricity and liquid cooling systems to complex GPU interconnects. This comprehensive course breaks down the complete anatomy of a modern AI factory, revealing exactly what it takes to turn raw megawatts into the tokens generated by today's leading models.Course notes and resources: https://kiankyars.github.io/gigawatt/
Created by @neuralkian
❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp
⭐️ Chapters ⭐️
- 0:00:00 Introduction
- 0:04:03 Primer: Electricity & Circuits
- 0:43:18 Chapters 1 & 2: Data Center Overview
- 1:11:40 Chapter 3: Models, Users, & Workloads
- 1:46:58 Chapter 4: Site Preference & Physical Infrastructure
- 2:33:04 Chapter 5: Transforming a Land Parcel into a Data Center
- 2:56:55 Chapter 6: Power Routing from Campus to Rack
- 3:29:26 Chapter 7: Continuity, Storage, & Backup Power Interruptions
- 4:17:02 Chapter 8: Regulating Chip Voltage
- 4:39:28 Chapter 9: 800V Direct Current Rack Distribution
- 4:53:24 Chapter 10: Networking & Interconnects
- 5:45:24 Chapter 11: Chip & Rack Heat Capture
- 6:12:43 Chapter 12: Global Heat Rejection & Water Usage
- 6:39:24 Chapter 13: Engineering, Procurement, and Construction (EPC)
- 6:53:11 Chapter 14: Controls, Operations, and Reliability
- 7:17:15 Chapter 15: GPU Cloud Economics
- 7:38:35 Chapter 16: Finale: Putting an AI Factory Together
🎉 Thanks to our Champion and Sponsor supporters:
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