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This release is a pre-release and may not be stable for production use.

vllm-ascend

vLLM Ascend Plugin

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Latest News 🔥

  • [2026/09] We released the new release candidate v0.26.0rc1! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
  • [2026/08] We released the new official version v0.23.0! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
  • [2026/05] We released the new official version v0.18.0! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
  • [2026/02] We released the new official version v0.13.0! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
More
  • [2025/12] We released the new official version v0.11.0! Please follow the official guide to start using vLLM Ascend Plugin on Ascend.
  • [2025/09] We released the new official version v0.9.1! Please follow the official guide to start deploying large-scale Expert Parallelism (EP) on Ascend.
  • [2025/08] We hosted the vLLM Beijing Meetup with vLLM and Tencent! Please find the meetup slides.
  • [2025/06] User stories page is now live! It kicks off with LLaMA-Factory/verl/TRL/GPUStack to demonstrate how vLLM Ascend assists Ascend users in enhancing their experience across fine-tuning, evaluation, reinforcement learning (RL), and deployment scenarios.
  • [2025/06] Contributors page is now live! All contributions deserve to be recorded, thanks for all contributors.
  • [2025/05] We've released the first official version v0.7.3! We collaborated with the vLLM community to publish a blog post sharing our practice: Introducing vLLM Hardware Plugin, Best Practice from Ascend NPU.
  • [2025/03] We hosted the vLLM Beijing Meetup with vLLM team! Please find the meetup slides.
  • [2025/02] vLLM community officially created vllm-project/vllm-ascend repo for running vLLM seamlessly on the Ascend NPU.
  • [2024/12] We are working with the vLLM community to support [RFC]: Hardware pluggable.

Overview

vLLM Ascend (vllm-ascend) is a community maintained hardware plugin for running vLLM seamlessly on the Ascend NPU.

It is the recommended approach for supporting the Ascend backend within the vLLM community. It adheres to the principles outlined in the [RFC]: Hardware pluggable, providing a hardware-pluggable interface that decouples the integration of the Ascend NPU with vLLM.

By using vLLM Ascend plugin, popular open-source models, including Transformer-like, Mixture-of-Experts (MoE), Embedding, Multi-modal LLMs can run seamlessly on the Ascend NPU.

For detailed information on supported models and features, please refer to the support matrix.

Prerequisites

  • Hardware: Atlas 800I A2 Inference series, Atlas A2 Training series, Atlas 800I A3 Inference series, Atlas A3 Training series, Atlas 300I Duo (Experimental)
  • OS: Linux
  • Software:
    • Python >= 3.10, < 3.13
    • CANN == 9.1.0 (For Ascend HDK version, please refer to the Release Notes)
    • PyTorch == 2.10.0, torch-npu == 2.10.0.post4
    • vLLM (the same version as vllm-ascend)

Accessing Ascend NPU

If you need to access Ascend NPU computing resources for development or testing, please visit the HiDevLab - Online Development page on the Huawei HiDevLab platform to apply for and use them.

Getting Started

Please use the following recommended versions to get started quickly:

Version Release type Doc
v0.26.0rc1 Release candidate See QuickStart and Installation for more details
v0.23.0 Latest stable version See QuickStart and Installation for more details

Branch

vllm-ascend has a main branch and a dev branch.

  • main: main branch, corresponds to the vLLM main branch, and is continuously monitored for quality through Ascend CI.
  • releases/vX.Y.Z: development branch, created alongside new releases of vLLM. For example, releases/v0.13.0 is the dev branch for vLLM v0.13.0 version.

Below are the maintained branches:

Branch Status Note
main Maintained CI commitment for vLLM main branch and vLLM v0.26.0 tag
releases/v0.13.0 Maintained Only bug fixes are allowed, and no new release tags anymore.
releases/v0.18.0 Maintained CI commitment for vLLM 0.18.0 version
releases/v0.23.0 Maintained CI commitment for vLLM 0.23.0 version
rfc/ Maintained Feature branches for collaboration

Please refer to Versioning policy for more details.

Contributing

See CONTRIBUTING for more details, which is a step-by-step guide to help you set up the development environment, build and test.

We welcome and value any contributions and collaborations:

Weekly Meeting

License

Apache License 2.0, as found in the LICENSE file.

Release files for vllm-ascend 0.26.0rc1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vllm-ascend 0.26.0rc1
File Size Uploaded
vllm_ascend-0.26.0rc1.tar.gz 15.7 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for vllm-ascend 0.26.0rc1
File
vllm_ascend-0.26.0rc1-cp312-cp312-manylinux_2_34_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.34+ x86-64 Details
vllm_ascend-0.26.0rc1-cp312-cp312-manylinux_2_34_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.34+ ARM64 Details
vllm_ascend-0.26.0rc1-cp311-cp311-manylinux_2_34_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.34+ x86-64 Details
vllm_ascend-0.26.0rc1-cp311-cp311-manylinux_2_34_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.34+ ARM64 Details
vllm_ascend-0.26.0rc1-cp310-cp310-manylinux_2_34_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.34+ x86-64 Details
vllm_ascend-0.26.0rc1-cp310-cp310-manylinux_2_34_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.34+ ARM64 Details

Total release size: 165.8 MB

Release files / vllm_ascend-0.26.0rc1.tar.gz

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Download URL vllm_ascend-0.26.0rc1-cp312-cp312-manylinux_2_34_x86_64.whl
Size 25.2 MB
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Download URL vllm_ascend-0.26.0rc1-cp312-cp312-manylinux_2_34_aarch64.whl
Size 24.8 MB
Tags CPython 3.12 Linux glibc 2.34+ ARM64
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Size 25.2 MB
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Release files / vllm_ascend-0.26.0rc1-cp311-cp311-manylinux_2_34_aarch64.whl

Download URL vllm_ascend-0.26.0rc1-cp311-cp311-manylinux_2_34_aarch64.whl
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Download URL vllm_ascend-0.26.0rc1-cp310-cp310-manylinux_2_34_x86_64.whl
Size 25.2 MB
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Release files / vllm_ascend-0.26.0rc1-cp310-cp310-manylinux_2_34_aarch64.whl

Download URL vllm_ascend-0.26.0rc1-cp310-cp310-manylinux_2_34_aarch64.whl
Size 24.8 MB
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Release history Release notifications | RSS feed

This release

0.26.0rc1 This release

7 release files

0.23.0

7 release files

0.18.0

5 release files

0.11.0

7 release files

0.9.1

7 release files

0.7.3

1 release file

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