# vLLM

PagedAttention memory management for high-throughput multi-request GPU serving. vLLM is free, with no paid plan attached, at github.com.

## Facts

- **Pricing tier:** Free
- **Works on:** CLI, Self-hosted, API, Linux
- **Works in browser:** No

## Capabilities

- PagedAttention memory management for high-throughput multi-request GPU serving
- Supports 200+ model architectures with an OpenAI-compatible API server
- Originated at UC Berkeley Sky Computing Lab, now the de facto standard for self-hosted production LLM serving

## FAQ

### What is vLLM?

vLLM is listed under Local LLM Runners, in the AI Models & Local Execution category on Flocci AI Tools. PagedAttention memory management for high-throughput multi-request GPU serving. It is free, with no paid plan attached, and it lives at github.com.

### Is vLLM free?

vLLM is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 396 entries on Flocci AI Tools with no upgrade path built in.

### Can I use vLLM in a browser, or is there an app?

vLLM needs to be installed or self-hosted — it doesn't run in a browser tab. It is available on the command line, self-hosting, an API and Linux.

### What can vLLM do?

vLLM does 3 things the catalog singles out: Pagedattention memory management for high-throughput multi-request gpu serving; supports 200+ model architectures with an openai-compatible api server; originated at uc berkeley sky computing lab, now the de facto standard for self-hosted production llm serving.

### What is the best free alternative to vLLM?

AnythingLLM is the closest free alternative: it sits in the same Local LLM Runners sub-category and is free. BitNet, exo and Google AI Edge Gallery also start free. The full list is on the alternatives page.

## Related

- [vLLM alternatives](https://aitools.flocci.in/alternatives/vllm)
- [Local LLM Runners](https://aitools.flocci.in/category/ai-models-local-execution/local-llm-runners)
- [Best free local LLM runners](https://aitools.flocci.in/best/best-local-llm-runners)
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Source: Flocci AI Tools — https://aitools.flocci.in/tool/vllm

Facts last verified: October 2026