jgrusewski 7cb8c305df docs: GPU optimization full sweep design — training binary, PPO parity, NCCL multi-GPU ...

Audit found training binary bypasses all DQNTrainer/PpoTrainer infrastructure
and explicitly disables Rainbow DQN. Design covers 6 sections:
- P0: Wire train_baseline_rl.rs to Trainers
- P1: PPO mixed precision + gradient accumulation + Liquid/TLOB detach fixes
- P2: Mamba2 HardwareBudget + CUDA pipeline wiring + NCCL multi-GPU
- P3: Ensemble parallel inference + BF16 benchmarks

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-01 21:25:36 +01:00

..

infra

feat(infra): GPU training launcher with local/cloud routing

2026-02-23 11:19:58 +01:00

plans

docs: GPU optimization full sweep design — training binary, PPO parity, NCCL multi-GPU

2026-03-01 21:25:36 +01:00