End-to-End Distributed Training
Lessons 76 through 80 each built one piece. This is the assembly: a tiny GPT trained across 4 simulated ranks with DDP for gradient sync, ZeRO-1 for optimiser-state sharding, and a sharded checkpoint at the halfway mark. The demo runs 20 steps, self-terminates, prints a loss curve plus a memory profile, and writes a resumable checkpoint.
Visual edition planned
This lesson isn’t interactive yet.
It is part of the curriculum and will get the same treatment as Phase 1 — a visual cover, hands-on labs, derivations with numeric checks and a quiz. Until then, the original lesson is the best place to read it:
Part of Phase 19 — Capstone Projects. Use the previous / next cards below to keep browsing the phase.