Llama Stack vs Xinference
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Llama Stack | Xinference |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 92 · Excellent | 93 · Excellent |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 8,192 MB |
| Deployment | docker, source | docker, kubernetes, source |
| GitHub stars | ★ 8,437 | ★ 9,592 |
| First released | 2024 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
What are Llama Stack and Xinference?
Llama Stack
Llama Stack from Meta defines and implements a set of standardized APIs for inference, RAG, agents, safety and evaluation, with multiple provider backends. It can be self-hosted as a unified server for building local generative AI applications.
- Standardized AI APIs
- Pluggable provider backends
- Agents and RAG support
- Self-hostable server
Xinference
Xorbits Inference (Xinference) is a framework for serving language, embedding, image, audio, and rerank models with a single command. It exposes OpenAI-compatible APIs and supports distributed deployment across multiple machines.
- Serve LLMs, embeddings and images
- OpenAI-compatible API
- Distributed cluster support
- Built-in model registry
Llama Stack vs Xinference: key differences
Both projects are written in Python. Licensing differs — MIT for Llama Stack versus Apache-2.0 for Xinference. Llama Stack is the lighter option, starting around 4,096 MB of RAM against 8,192 MB for Xinference.
Why pick each one
Choose Llama Stack if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8.4k GitHub stars
- Written in Python
Choose Xinference if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 9.6k GitHub stars
Frequently asked questions
Is Llama Stack or Xinference better?
Neither is universally better. Xinference has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Llama Stack and Xinference free and open-source?
Yes. Llama Stack is licensed under MIT and Xinference under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Llama Stack and Xinference with Docker?
Llama Stack: yes. Xinference: yes.
Which is lighter on resources, Llama Stack or Xinference?
Llama Stack has the smaller minimum footprint at 4,096 MB of RAM, compared to about 8,192 MB for Xinference. Real-world usage depends on library size, user count, and enabled features.