vLLM
Serve your own language model as a fast API
High-throughput serving engine for LLMs — for running your own AI infrastructure.
Checked sourcegithub.com/vllm-project/vllmLicence: Apache-2.0checked 3 hours agoGitHub lists a SHA-256 checksum for every release file.
Have it set up for you instead:Request setup by OROBOOr start with the AI Compass: a written assessment at a fixed price of €490 (businesses only).
Simulation starting …
What you get
What you get
- 01Handle many requests at once with high throughput
- 02OpenAI-compatible API that works with existing clients
- 03Load open models straight from Hugging Face
For you if …
- Teams running open models on their own GPUs
- Developers setting up their own AI API
Pick something else if …
- Just testing on a laptop or Mac? Try Ollama or llama.cpp
How to start
In three steps.
- Linux
- A capable GPU
- Python skills
- Server experience
- 1On a Linux machine with a GPU, install with
pip install vllm - 2Start the server with
vllm serve <model-id>from the Hugging Face Hub - 3Send requests to the OpenAI-compatible API at localhost:8000
Safety check
4 of 5 checks passed
No known malicious patterns in the install instructionsactively maintainedLicence: Apache-2.0
- Taken by OROBO from the official source. The maker has not joined OROBO yet.
- Source code publicly visible
- Licence: Apache-2.0
- No known malicious patterns in the install instructions
- Website reachable — but doesn’t allow automated checks (not a warning sign)
- Updated today
Technical details & what we don’t check
We automatically check origin, code patterns, licence, maintenance and reachability — again every day. We do not check whether the software fits your purpose, how it handles your data, or whether it works without errors. Last checked 3 hours ago. How OROBO checks
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Facts
| Area | Build it yourself |
|---|---|
| Price | Open Source |
| Licence | Apache-2.0 |
| Runs on | Linux |
| Popular with developers | ★ 96.4K GitHub |
| Last updated | 05 Nov 2026 |
| Source | vllm-project/vllm ↗ |
| Website | docs.vllm.ai ↗ |