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vllm - 💡(How to fix) Fix RL Q2 roadmap [1 participants]

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vllm-project/vllm#41140•Fetched 2026-04-29 06:12:09
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RL Q2 roadmap

T1: Training-Inference Consistency

  • R3 / routing replay: #39701, #39917, #39568 — @TomerBN-Nvidia, @xhx1022, @SumanthRH
  • VLM / input tensor parity: #35458 — Nithin handle TBD, @qgallouedec
  • Weight version / logprob / scoring: #40559, #37737, #37738, #37795 — @yewentao256, @sdpkjc, @agarwalprakhar2511, @hao-aaron, @SumanthRH

T2: Runtime State Switching

  • Weight sync lifecycle / transfer formats: #31848, #39212, #39451 — @hao-aaron, @SumanthRH, @qgallouedec, @kylesayrs
  • Execution / sleep / coordinator / fault recovery: #32103, #39366, #38534, #40468, #38862, #38144, #39942, #40567 — @kouroshHakha, @hao-aaron, @robertgshaw2-redhat
  • NCCL context lifecycle: #40646, verl-project/verl#5836 — @Rorical, @SumanthRH, @hao-aaron

T3: Rollout Performance / Efficiency

  • KV cache / prefix reuse / routing locality — @robertgshaw2-redhat, Kellen handle TBD
  • P/D rollout throughput — Matej / PrimeRL handle TBD, @hao-aaron, @robertgshaw2-redhat
  • Phase-aware performance / speculative rollout — owner TBD

T4: Framework & Workload Enablement / Misc

  • Framework serving contract — Kaichao handle TBD, @robertgshaw2-redhat
  • VLM / multimodal RL enablement — Nithin handle TBD, @qgallouedec, @kouroshHakha
  • Observability / liveness / debuggability — @hao-aaron, @robertgshaw2-redhat, Matej handle TBD

T5: Platform / Deployment / Integration Hygiene

  • K8s Weight Propagation Interface alignment — Clayton Coleman / Bogdan handles TBD, @robertgshaw2-redhat, @hao-aaron, @SumanthRH
  • Daily vLLM rollout Docker for veRL — @aoshen524
  • Docs / examples / compatibility gates — @hao-aaron, @SumanthRH, @robertgshaw2-redhat

extent analysis

TL;DR

Review and address the open issues listed in the roadmap, particularly those related to training-inference consistency, runtime state switching, and rollout performance.

Guidance

  • Review the issues listed under each task (T1-T5) and assign owners to unassigned tasks to ensure progress.
  • Prioritize issues based on their impact on the project's goals, such as training-inference consistency and rollout performance.
  • Ensure that all assigned owners are aware of their responsibilities and have a clear plan to address their assigned issues.
  • Consider creating a project board or dashboard to track progress on these issues and provide visibility into the project's status.

Notes

The provided issue body appears to be a roadmap or a list of tasks and issues to be addressed, rather than a specific problem to be solved. Therefore, the guidance provided is focused on reviewing and addressing the open issues.

Recommendation

Apply a workaround by creating a project board or dashboard to track progress on the listed issues, as this will provide visibility into the project's status and help ensure that all issues are being addressed.

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vllm - 💡(How to fix) Fix RL Q2 roadmap [1 participants]