
vLLM
v0.32.0Open sourceReleased 18 Oct 2026
High-throughput LLM serving engine for Linux GPU servers. By vLLM project
- Linux
By the ToolsBharat teamUpdated 18 Oct 2026How we check
Quick answer
vLLM is open source software for Linux from vLLM project. High-throughput LLM serving engine for Linux GPU servers. Download it only from docs.vllm.ai. The latest version we track is 0.32.0 (18 Oct 2026). ToolsBharat links straight to the publisher's own download page, with no bundled offers.
- Latest version:
- 0.32.0 (18 Oct 2026)
- Publisher:
- vLLM project
- Official site:
- docs.vllm.ai
- Licence:
- Open source — Apache-2.0
- Requirements:
- Linux (Windows only via WSL; experimental CPU support on macOS Sonoma+ when built from source)
Our verdict
vLLM is a server-side inference engine built to serve many requests at once on data-centre or workstation GPUs, using PagedAttention and continuous batching. It is a Python library you install with pip or uv and run as an OpenAI-compatible server; it is not a desktop app. Its docs list Linux as the supported OS and say Windows is not supported natively, so Windows users need WSL.
Key features
- PagedAttention and continuous batching for high throughput
- OpenAI-compatible API server, plus Anthropic Messages API support
- Quantisation formats including FP8, INT4/INT8, GPTQ, AWQ and GGUF
- Tensor, pipeline and expert parallelism across multiple GPUs
Pros
- Pro: Built for serving many users efficiently
- Pro: Supports NVIDIA, AMD and Intel GPUs
- Pro: Large, active project
Cons
- Con: No native Windows support (WSL needed)
- Con: Command-line and Python only, no GUI
- Con: Apple silicon CPU support is experimental and needs a source build
What's new in 0.32.0
See what changed in 0.32.0 in the official release notes
Version history
Version 0.32.0Latest
18 Oct 2026- SHA-256
- The developer does not publish one
- Source
- Release notes
Requirements
- OS
- Linux (Windows only via WSL; experimental CPU support on macOS Sonoma+ when built from source)
- Architecture
- 64-bit (x86_64), ARM64
- Also needs
- Python 3.11 to 3.14; NVIDIA GPU with compute capability 7.5 or higher (e.g. T4, RTX 20xx and newer), or AMD ROCm / Intel XPU / supported CPU
Licence
- Type
- Open source
- Licence
- Apache-2.0
- Publisher
- docs.vllm.ai
Where these facts come from
- Installation docs
- GPU installation requirements
- CPU installation
- GitHub repository
- GitHub release v0.32.0
Checked 30 Oct 2026
FAQ
Can I run vLLM on Windows?
Not natively. The vLLM docs say Windows is not supported and suggest using WSL with a compatible Linux distribution. For a desktop chat app on Windows, a tool such as LM Studio or Ollama is a simpler fit.
User reviews
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Alternatives
- Ollama0.40.13 · Open sourceRun open AI models locally on your own PC. Official No bundlesAvailable on Windows, macOS, Linux
- llama.cpp0.8.0 · Open sourceThe C/C++ engine behind most local LLM apps, with a CLI, server and web UI. Official No bundlesAvailable on Windows, macOS, Linux
- LocalAI4.12.1 · Open sourceSelf-hosted, OpenAI-compatible API for text, voice, image and video models. Official No bundlesAvailable on macOS, Linux
vLLM
0.32.0 · Not stated