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LLMFreemiumOpen Source
XINFERENCE
Self-host and serve many AI models behind one unified API
Apache-2.0
ABOUT
Teams often want to run open-source models themselves, but end up stitching together separate serving stacks for chat models, embedding models, image generation, speech, and multimodal workloads. Xinference provides one deployment and management layer for serving many model types with unified APIs, scaling controls, and OpenAI-compatible interfaces, so developers can ship self-hosted AI features without building their own model-serving platform from scratch.
INSTALL
pip install "xinference[all]"INTEGRATION GUIDE
1. Serve open-source chat and embedding models behind an OpenAI-compatible API for internal applications
2. Deploy multimodal models on local machines or GPU servers without maintaining separate serving stacks
3. Run self-hosted inference for enterprise workflows that need tighter control over data residency
4. Expose image, speech, and language models through one platform for multi-model product features
5. Standardize model serving across development, staging, and production environments
TAGS
llminferencemodel-servingmultimodalembeddingsself-hostedopenai-compatiblegpu