π Training SWE Agents with Miles on AMD MI355X
The @AIatAMD and Miles teams trained Qwen3-30B-A3B with fully asynchronous agentic RL using SGLang, Megatron-LM, and Harbor. Keeping long trajectories and hundreds of CPU sandboxes from stalling training took some engineering.
Highlights:
- SWE-bench Verified pass@1: 7.3% β 27.5% after SFT + RL (100-task stratified subset, 4 attempts per task)
- 3Γ faster RL steps: 850s β 284s
- ~4Γ rollout throughput (~860 β ~3,480 trajectories/h), with 384 agent sandboxes running at once.
Full report: http://lmsys.org/blog/2026-10-22-miles-mi355x-agentic-rl
