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FastDeploy is an inference and deployment toolkit for large language models and visual language models built on PaddlePaddle, focused on production-ready deployment out of the box. It delivers core acceleration technologies such as load-balanced PD disaggregation with context caching, a unified KV cache transmission, and compatibility with OpenAI API Server and vLLM, along with extensive quantization formats and acceleration features like speculative decoding and chunked prefill across multiple hardware backends. The project supports online serving and offline inference, provides quick deployment workflows for various models, and offers comprehensive documentation for deploying LLMs and VLMs.
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