Xinference is an AI Frameworks & Infra tool that allows users to swap GPT for any LLM by changing a single line of code. It enables running open-source, speech, and multimodal models on cloud, on-prem, or a laptop through one unified, production-ready inference API.
Xinference, also known as Xorbits Inference, is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. It simplifies the deployment and serving of both custom and state-of-the-art built-in models with a single command, making it accessible for researchers, developers, and data scientists. Key features include agent-native serving, automatic request batching for improved throughput, and distributed inference across workers. Xinference supports a wide range of models, including MiniMax-M2.7, GLM-5.1, Qwen3.6, and Gemma-4, and integrates seamlessly with popular third-party libraries like LangChain, LlamaIndex, Dify, and Chatbox. It offers flexible APIs, including OpenAI-compatible RESTful API, RPC, CLI, and WebUI, and intelligently utilizes heterogeneous hardware like GPUs and CPUs for accelerated inference.
Best used for
Ideal for developers and machine learning engineers who need to deploy and serve various AI models, including LLMs, speech, and multimodal models, on diverse hardware. Especially valuable for those seeking a unified, production-ready inference API with support for distributed deployment and automatic request batching.
Xinference is designed to serve a wide range of AI models, including large language models (LLMs), speech recognition models, and multimodal models. It supports both custom models and state-of-the-art built-in open-source models, providing a versatile platform for various AI applications.
Does Xinference support distributed deployment?
Yes, Xinference excels in distributed deployment scenarios. It allows for the seamless distribution of model inference across multiple devices or machines, making it suitable for scaling AI workloads and optimizing resource utilization in complex environments.
What hardware does Xinference utilize for inference?
Xinference intelligently utilizes heterogeneous hardware resources, including GPUs and CPUs, to accelerate model inference tasks. This capability ensures that users can make the most of their existing hardware infrastructure, enhancing performance and efficiency.