[Doc] Update news (#2736)

Refresh the news. Add meetup and official release info

- vLLM version: v0.10.1.1
- vLLM main:
b5ee1e3261

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-09-04 10:10:24 +08:00
committed by GitHub
parent 984bd7c13a
commit e11a1bbfc1
2 changed files with 4 additions and 1 deletions

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@@ -19,7 +19,8 @@ vLLM Ascend Plugin
---
*Latest News* 🔥
- [2025/09] We released the new official version [v0.9.1](https://github.com/vllm-project/vllm-ascend/releases/tag/v0.9.1)! Please follow the [official guide](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/tutorials/large_scale_ep.html) to start deploy large scale Expert Parallelism (EP) on Ascend.
- [2025/08] We hosted the [vLLM Beijing Meetup](https://mp.weixin.qq.com/s/7n8OYNrCC_I9SJaybHA_-Q) with vLLM and Tencent! Please find the meetup slides [here](https://drive.google.com/drive/folders/1Pid6NSFLU43DZRi0EaTcPgXsAzDvbBqF).
- [2025/06] [User stories](https://vllm-ascend.readthedocs.io/en/latest/community/user_stories/index.html) 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](https://vllm-ascend.readthedocs.io/en/latest/community/contributors.html) page is now live! All contributions deserve to be recorded, thanks for all contributors.
- [2025/05] We've released first official version [v0.7.3](https://github.com/vllm-project/vllm-ascend/releases/tag/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](https://blog.vllm.ai/2025/05/12/hardware-plugin.html).

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@@ -20,6 +20,8 @@ vLLM Ascend Plugin
---
*最新消息* 🔥
- [2025/09] 我们发布了新的正式版本 [v0.9.1](https://github.com/vllm-project/vllm-ascend/releases/tag/v0.9.1)! 请按照[官方指南](https://vllm-ascend.readthedocs.io/en/v0.9.1-dev/tutorials/large_scale_ep.html)开始在Ascend上部署大型专家并行 (EP)。
- [2025/08] 我们与vLLM和腾讯合作举办了[vLLM北京Meetup](https://mp.weixin.qq.com/s/7n8OYNrCC_I9SJaybHA_-Q),!请在[这里](https://drive.google.com/drive/folders/1Pid6NSFLU43DZRi0EaTcPgXsAzDvbBqF)找到演讲材料。
- [2025/06] [用户案例](https://vllm-ascend.readthedocs.io/en/latest/community/user_stories/index.html)现已上线展示了LLaMA-Factory/verl/TRL/GPUStack等用户案例展示了vLLM Ascend如何帮助昇腾用户在模型微调、评估、强化学习 (RL) 以及部署等场景中提升体验。
- [2025/06] [贡献者](https://vllm-ascend.readthedocs.io/en/latest/community/contributors.html)页面现已上线!所有的贡献都值得被记录,感谢所有的贡献者。
- [2025/05] 我们发布了首个正式版本 [v0.7.3](https://github.com/vllm-project/vllm-ascend/releases/tag/v0.7.3)!我们与 vLLM 社区合作发布了一篇博客文章,分享了我们的实践:[Introducing vLLM Hardware Plugin, Best Practice from Ascend NPU](https://blog.vllm.ai/2025/05/12/hardware-plugin.html)。