SGLang promotes an RL training session on TorchTitan in Miles
Overview
LMSYS Org, the team behind SGLang, promotes a session where Tianyu Liu explains TorchTitan as a training backend in Miles.
According to the post on X, the session shows how TorchTitan connects large-scale training and reinforcement learning with SGLang rollouts. The available report describes the session only as an explanation and does not give details on results or benchmarks.
Written by AI from the articles below · updated Nov 5, 5:54 PM ET
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Developments
2 developments
- Nov 5, 5:43 PM ET · 1 articleTianyu Liu explains TorchTitan as a training backend in MilesLMSYS Org: Tianyu Liu explains TorchTitan as a training backend in Miles
- Nov 4, 3:57 PM ET · 1 articleSGLang promotes a reinforcement learning training sessionSGLang: SGLang and Miles host a reinforcement learning training session with NVIDIA
Article timeline
The articles in this story. Times are ET.
LMSYS Org@lmsysorgOfficialTianyu Liu explains TorchTitan as a training backend in MilesAITianyu Liu shows how TorchTitan works as a training backend in Miles, connecting large-scale training and RL with SGLang rollouts.

SGLang@sgl_projectOfficialSGLang and Miles host a reinforcement learning training session with NVIDIAAISGLang invites developers to a live session on running a reinforcement learning training loop with NVIDIA, using SGLang for rollout generation and Miles for policy training. The session covers live weight syncing between the two systems and engineering choices for faster, more stable RL training, with a path to larger models and more complex tasks. Registration is open through a Luma link.
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