Gahow Wang 511ceebbb3 docs: KI-2 trigger — dim768 fp32 batch-32 OOM ...

v4 surfaced the concrete bf16 trigger: dim768 fp32 OOMs at per-rank batch 32
(global 256) in 32GB, forcing per-rank 16 (global 128). bf16 (halve activation
mem) would restore the batch-256 sweet spot. Record it on KI-2; keep KI-2 as
the backlog item it is (still deferred).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

2026-06-16 13:14:42 +08:00

..

runs

docs: run v4 — TinyStories, dim768, val 1.17

2026-06-16 13:14:37 +08:00

00-build-chain.md

docs: backfill T1 build-chain

2026-06-15 15:12:55 +08:00

01-tensor.md

docs: Phase T2 — tensor abstraction

2026-06-15 15:12:55 +08:00

02-gemm-autodiff.md

docs: Phase T3 — GEMM fwd/bwd + finite-diff

2026-06-15 15:27:03 +08:00

03-autograd-engine.md

docs: Phase T4 — autograd engine

2026-06-15 15:53:55 +08:00

04-tiny-transformer.md

docs: Phase T5 — tiny transformer

2026-06-15 16:09:30 +08:00

05-training-loop.md

docs: Phase T6 — training loop

2026-06-15 16:30:14 +08:00

06-performance.md

docs: Phase T7 — performance

2026-06-15 17:00:29 +08:00

07-distributed.md

docs: Phase T8 — distributed data parallel

2026-06-15 17:15:49 +08:00

08-export-xserv.md

docs: T9 verification results (xserv == xtrain, dash5)

2026-06-15 17:37:46 +08:00

09-batched-forward.md

docs: Phase T10 — batched forward

2026-06-16 00:44:50 +08:00

10-caching-allocator.md

perf: KI-5 FIXED — single-GPU 40K->93K tok/s, DDP scaling 1.3x->5x@8

2026-06-16 11:15:02 +08:00

known-issues.md

docs: KI-2 trigger — dim768 fp32 batch-32 OOM

2026-06-16 13:14:42 +08:00