EngineX/xc-llm-ascend
3
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

[Doc] Update news (#2736)

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

3
README.md
View File

@@ -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).