~/talk

Verl: A Flexible and Efficient RL Framework for LLMs

Talkat PyTorch Conference 2025 · 2025-10-22..10-23· [machine-learning]
links:none on file
links:none on file
slides:none on file

verl is an open source RL pipeline that combines a hybrid-controller (central logic + many SPMD controllers) with WorkerGroup and ResourcePool for cluster orchestration, claiming production use and 14K+ stars, 2K forks and ~400 contributors. It implements a token-in token-out agent loop and an async server mode to drop generation bubbles and raise GPU/CPU utilization. Integrations include FSDP/FSDP2, Megatron-LM, vLLM and SGLang, supports PPO/GRPO/DAPO, and shows a working DeepSeek-671B recipe running on 96 H100 GPUs.

AI-written summary · about

  1. 0:00Importance of large-scale RL
  2. 1:34System challenges in RL
  3. 2:42Verl framework design
  4. 5:27Agentic RL and async updates
  5. 12:08Roadmap and community
  6. 20:41Q&A session
~/search
type to search 6,249 conferences, 138,987 speakers and 185,172 talks
~/help
cmdctrl k
search every conference, speaker and series
/
focus the filter search
h
home
c
conferences
s
speakers
e
series
t
light / dark — the status bar button does the same
?
this help
esc
close this, then clear every filter — or just the search, while you are typing in it

Ignored while you are typing. Pages without a filter rail have no search to focus.