vLLM
Inference and serving engine for large language models, built for speed and hardware efficiency with an OpenAI-compatible API and support for a wide range of open models.
Technical Profile & Specs
verified 2026-11-07
- Cost
- $0 / forever (Open Source)
- License
- Open Source
- Hosting Model
- Self-host (your server)
- Platforms
- webself-hosteddocker to self-host
- Installation
- Clone https://github.com/vllm-project/vllm or deploy with Docker Compose
- Operational Setup
- Deploy via Docker or binary release from GitHub and configure environment variables.
- Where Your Data Lives
- All application data and configuration live on your own server or local database.
- The Catch / Trade-off
- Requires self-hosting setup, updates, and server maintenance compared to managed Fireworks AI.
Replaces 2 paid apps
up to $50/mo ($600/yr) in subscriptions
vLLM FAQ
Common questions
Is vLLM free and open source?+
vLLM is an open-source tool licensed under Open Source that runs on self-host. Inference and serving engine for large language models, built for speed and hardware efficiency with an OpenAI-compatible API and support for a wide range of open models.
What paid software does vLLM replace?+
vLLM serves as a free replacement for 2 paid SaaS applications: Fireworks AI, Together AI, saving up to $50/month ($600/year) in subscription bills.
How do you install and set up vLLM?+
Installation: Clone https://github.com/vllm-project/vllm or deploy with Docker Compose. Setup notes: Deploy via Docker or binary release from GitHub and configure environment variables.
What is the catch or trade-off with vLLM?+
Requires self-hosting setup, updates, and server maintenance compared to managed Fireworks AI.