Hardware Plugin
2.0k 2026-04-28
vllm-project/vllm-ascend
A community-maintained hardware plugin that enables vLLM to run seamlessly and efficiently on Ascend NPUs for large language model inference.
Core Features
Seamless vLLM integration on Ascend NPUs
Optimized LLM inference performance
Support for large-scale Expert Parallelism (EP)
Community-driven development and support
Detailed Introduction
vLLM Ascend is a crucial community-maintained hardware plugin designed to extend the capabilities of vLLM, a high-performance LLM serving engine, to Huawei's Ascend NPU platform. It addresses the growing demand for efficient large language model inference on specialized AI hardware, enabling users to deploy and run LLMs seamlessly on Ascend NPUs. By providing optimized performance and integration, vLLM Ascend empowers developers and researchers to leverage Ascend's computational power for various AI applications, from fine-tuning to large-scale deployment, enhancing the overall LLM ecosystem.