Learning log
A running record of what I'm learning about AI — models, infrastructure, tooling, and everything underneath. New entries get added here as I go.
The AI hardware supply chain in six stages — wafer, die, GPU, server, rack, data center — with what each stage is, who builds it, and what it costs.
What makes an AI data center physically different, who actually owns these facilities, and why they keep ending up in places you wouldn't expect.
A high-level look at the power, water, materials, and hardware churn behind running AI at scale — and what that actually costs.
Four different chips, four different jobs — what each one actually does, and how they pair up inside a real AI server.