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ai-agent

vllm-ascend: Simplify AI

Get community maintained hardware plugin for vLLM on Ascend, ideal for founders, with 2.2k+ GitHub stars
intermediateโฑ 30 minutes๐Ÿ’ต Free
2,431 stars1,689 forksC++Quality 8/10Updated 7/18/2026100% free ยท open source
What it is

Use vLLM on Ascend hardware for fast and efficient AI operations.

What you can make with it

Automations like: when a new customer signs up, automatically create a new contact in Salesforce and email a welcome message, using community-maintained vLLM on Ascend hardware.

How it helps

This community-maintained hardware plugin for vLLM on Ascend helps you use AI operations on your own hardware, saving costs and improving performance.

Real use case example

"A founder, Alex, needs to automate welcome emails for new customers on their e-commerce site. They use vLLM on Ascend to create an automation that checks for new sign-ups, creates a new contact in Salesforce, and sends a welcome email. This automation frees up time for Alex to focus on growing the business. This automation works in 5 minutes."

If you're new

If you've never used AI operations before, start with this to get familiar with community-maintained hardware plugins.

If you're senior

If you're looking for a cost-effective way to use AI operations on your own hardware, reach for this community-maintained plugin.

Common confusion cleared up

This plugin is for using vLLM on Ascend hardware, not for training or managing LLMs themselves.

Best inside these AI tools
Claude Desktop
Pairs with
Claude APIStripe webhook
Why we list it on WorkflowStacks: This community-maintained plugin is included, offering a cost-effective way to use vLLM on Ascend hardware within our marketplace.
What it does

The vllm-ascend tool enables founders to integrate community-maintained hardware plugins for vLLM on Ascend, enhancing AI capabilities with open-source solutions.

Install / run
git clone https://github.com/vllm-project/vllm-ascend.git
When to use it
  • โ€ขWhen you need to optimize vLLM performance on Ascend hardware
  • โ€ขWhen integrating open-source plugins for custom AI applications
  • โ€ขWhen developing AI-powered products requiring community-driven hardware support
Quick start
  1. 1Navigate to the cloned repository with `cd vllm-ascend`
  2. 2Review the README for specific build instructions, as the project is in C++ and may require compiling
  3. 3Explore the `src` directory for plugin examples and implementation details
  4. 4Consider contributing to or modifying existing plugins under `plugins/` to suit your needs
  5. 5Consult the GitHub issues and discussions for troubleshooting and community support
Ready-to-paste prompt
To build and run a custom vLLM plugin, use `mkdir build && cd build && cmake .. && make`, then integrate the compiled plugin into your Ascend project
Heads up: Ensure you have a compatible C++ compiler and necessary development libraries installed on your system, as the vllm-ascend project requires compiling C++ code and may have specific version requirements
Saves to your device

Topics

ascend
inference
llm
llm-serving
llmops
mlops
model-serving
transformer
vllm
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

35
top-level files
12
folders
60.6M
repo size
Apache-2.0
license
Key files
.pre-commit-config.yaml
AGENTS.md
README.md
README.zh.md
requirements-dev.txt
requirements-lint.txt
File tree
.agents/
.claude/
.gemini/
.github/
benchmarks/
cmake/
csrc/
docs/
examples/
tests/
tools/
vllm_ascend/
.clang-format
.gitignore
.gitmodules
.markdownlint.yaml
.pre-commit-config.yaml
.readthedocs.yaml
AGENTS.md
CLAUDE.md
CMakeLists.txt
CODE_OF_CONDUCT.md
codecov.yml
collect_env.py
Quick Actions
Details
Creator
vllm-project
Language
C++
Category
ai-agent
Published
1/29/2025

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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