Skip to content

fix(deps): update dependency vllm to ^0.11.0 #257

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

fix(deps): update dependency vllm to ^0.11.0 #257

wants to merge 1 commit into from

Conversation

dreadnode-renovate-bot[bot]
Copy link
Contributor

@dreadnode-renovate-bot dreadnode-renovate-bot bot commented Aug 21, 2025 •
edited by github-actions bot
Loading

This PR contains the following updates:

| Package | Change | Age | Confidence |
|

Generated Summary

  • Updated the vllm dependency version from ^0.5.0 to ^0.11.0.
  • This change affects the optional dependency configuration in pyproject.toml.
  • Aimed at aligning with newer vllm features and improvements.

This summary was generated with ❤️ by rigging

| vllm | ^0.5.0 -> ^0.11.0 | age | confidence |

Release Notes

vllm-project/vllm (vllm)

v0.11.0

Compare Source

Highlights

This release features 538 commits, 207 contributors (65 new contributors)!

  • This release completes the removal of V0 engine. V0 engine code including AsyncLLMEngine, LLMEngine, MQLLMEngine, all attention backends, and related components have been removed. V1 is the only engine in the codebase now.
  • This releases turns on FULL_AND_PIECEWISE as the CUDA graph mode default. This should provide better out of the box performance for most models, particularly fine-grained MoEs, while preserving compatibility with existing models supporting only PIECEWISE mode.
Model Support
Engine Core
Hardware & Performance
Large Scale Serving & Performance
  • Dual-Batch Overlap (DBO): Overlapping computation mechanism (#​23693), DeepEP high throughput + prefill (#​24845).
  • Data Parallelism: torchrun launcher (#​24899), Ray placement groups (#​25026), Triton DP/EP kernels (#​24588).
  • EPLB: Hunyuan V1 (#​23078), Mixtral (#​22842), static placement (#​23745), reduced overhead (#​24573).
  • Disaggregated serving: KV transfer metrics (#​22188), NIXL MLA latent dimension (#​25902).
  • MoE: Shared expert overlap optimization (#​24254), SiLU kernel for DeepSeek-R1 (#​24054), Enable Allgather/ReduceScatter backend for NaiveAllToAll (#​23964).
  • Distributed: NCCL symmetric memory with 3-4% throughput improvement (#​24532), enabled by default for TP (#​25070).
Quantization
API & Frontend
Security
Dependencies
V0 Deprecation

What's Changed

Configuration

📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).

🚦 Automerge: Enabled.

♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.

  • If you want to rebase/retry this PR, check this box

This PR has been generated by Renovate Bot.

@dreadnode-renovate-bot dreadnode-renovate-bot bot requested a review from a team as a code owner August 21, 2025 20:04
@dreadnode-renovate-bot dreadnode-renovate-bot bot added type/digest Dependency digest updates area/python Changes to Python package configuration and dependencies labels Aug 21, 2025
@dreadnode-renovate-bot
fix(deps): update dependency vllm to ^0.11.0
df6a2e8 
| datasource | package | from  | to     |
| ---------- | ------- | ----- | ------ |
| pypi       | vllm    | 0.5.5 | 0.11.0 |
@dreadnode-renovate-bot dreadnode-renovate-bot bot changed the title fix(deps): update dependency vllm to ^0.10.0 fix(deps): update dependency vllm to ^0.11.0 Oct 4, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
area/python Changes to Python package configuration and dependencies type/digest Dependency digest updates
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
0 participants