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Xinference
Xinference is an inference library that serves language, speech, and multimodal models across cloud, on-premises, or local environments via a unified API.
Xorbits Inference is a library for deploying and serving language, speech recognition, and multimodal models. It allows researchers and developers to run built-in models with a single command. The system supports heterogeneous hardware, including GPUs and CPUs, and offers distributed deployment across multiple machines. It provides an OpenAI-compatible RESTful API, RPC, CLI, and WebUI for interaction and management. Users can integrate it with tools like LangChain, LlamaIndex, Dify, and Chatbox.
Xinference at a glance
- Best for: Software engineer
- Runs on: Linux, API, CLI, Web, self-hosted
- Pricing: Free
- Released: June 2023
- Category: AI coding tool
- Website: github.com/xorbitsai/inference
Key features
- OpenAI-compatible RESTful API
- Support for language, speech, and multimodal models
- Distributed inference across multiple machines
- Hardware acceleration via GGML and vLLM
- Function calling support
- Integration with LangChain and LlamaIndex
- Automatic request batching
Use it for
- Self-hosting large language models
- Deploying multimodal and speech models
- Building AI agents with tool use
- Running RAG pipelines
- Managing inference across distributed clusters
Alternatives to Xinference
- Lumabri — Runs large AI models across multiple computers by sharing memory and layer workloads.
- LangChain4j — Integrates LLMs and vector stores directly into Java applications.
- Text Embeddings Inference — High-performance serving for open-source embedding models.
- ncnn — No runtime dependencies and supports CPU and Vulkan GPU backends.
- LMDeploy — Accelerates inference with high-performance engines and quantization tools.
- ZML — It enables Python-free inference while abstracting hardware complexities.
- OpenLLM — It simplifies infrastructure management and optimizes inference speed and cost.
- WebLLM — Runs high-performance language models directly inside web browsers.
- oMLX — It uses paged SSD KV caching to reduce agent TTFT to under 5 seconds.
- vLLM — Maximizes throughput with PagedAttention and continuous batching.
- MNN — It delivers high-performance inference and training with a lightweight footprint.
- OptiLLM — Increases LLM reasoning accuracy by up to 10x without model training.
All Xinference alternatives