Xinference

Xinference runs language, speech, and multimodal models through a unified inference API across cloud, on premises, or laptop setups.

github.com/xorbitsai/inference
Xinference homepage screenshot

About Xinference

Xinference is an open-source library for serving language, speech recognition, and multimodal models through a unified inference API. It runs on cloud, on-premises, or laptop setups and can deploy built-in open-source models or custom models with a single command.

It provides OpenAI-compatible REST interfaces, uses GPUs and CPUs including ggml, and supports distributed inference across workers. It also integrates with agent and RAG platforms including Xagent, Dify, FastGPT, RAGFlow, and MaxKB.

Key features

  • Serve language, speech recognition, and multimodal models via unified API
  • Deploy built-in or custom models with single command
  • Run on cloud, on-premises, or laptop setups
  • OpenAI-compatible REST interface for model interaction
  • Uses GPUs and CPUs including ggml for inference
  • Supports distributed inference across multiple workers
Best for: Researchers, developers, and data scientists who need to deploy and serve models on their own infrastructure.
Good for
  • Open-source codebase for self-hosted model serving
  • Runs across cloud, on-premises, and laptop setups
  • Provides a unified API with OpenAI-compatible interface

Xinference at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Xinference FAQ

What types of models can Xinference serve?
Language, speech recognition, and multimodal models, including built-in open-source models and custom models.
Where can Xinference be deployed?
On cloud, on-premises, or laptop setups.
Does Xinference offer an OpenAI-compatible interface?
Yes, it supports OpenAI-compatible REST interfaces for interacting with models.
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