Santiago Valdarrama
@svpino
These guys tested an auto-tuner that optimizes the full reinforcement learning loop.
Across eight math and coding jobs:
• Training steps became faster by 1.42x to 4.93x (3.5x median).
• They got one DeepSeek setup to run faster on 40 GPUs than an earlier setup did on 56.
• In one coding job, they cut each training step from 10.7 to 7.9 minutes.
