vLLM Ascend

vLLM Ascend is a community-maintained hardware plugin that enables the execution of vLLM on Huawei Ascend NPU hardware architectures.

vLLM Ascend is a hardware plugin designed to support the Ascend NPU backend within the vLLM ecosystem. It functions as a hardware-pluggable interface, following established RFC principles to decouple the Ascend NPU integration from the core vLLM codebase. The plugin allows users to run popular open-source models, such as Transformer-like, Mixture-of-Experts, Embedding, and Multi-modal large language models, on Ascend NPU hardware. It serves as the recommended approach for developers needing to bridge vLLM capabilities with Ascend hardware environments. This implementation prioritizes decoupling to maintain structural compatibility with the broader vLLM framework.

vLLM Ascend at a glance

Best for: Software engineer
Runs on: self-hosted, open source
Pricing: Free
Released: January 2025
Category: AI coding tool
Website: docs.vllm.ai

Key features

Support for Transformer-like models
Compatibility with Mixture-of-Experts models
Support for Embedding models
Execution of Multi-modal large language models
Hardware-pluggable interface implementation
Integration with Ascend NPU backends

Use it for

Running open-source LLMs on Ascend NPU hardware
Deploying multi-modal models on Ascend hardware
Integrating Ascend NPU support into vLLM environments

Alternatives to vLLM Ascend

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