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DeepSeek releases open-source inference optimizations delivering up to 85% speed gains

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Chinese AI lab DeepSeek has open-sourced a set of inference optimizations under a project detailed in a newly published technical paper. The improvements reportedly enable generation speeds that are 60 to 85 percent faster compared to baseline performance. The release is part of DeepSeek's broader pattern of sharing research and tooling with the open-source community. The optimizations are aimed at making large language model inference more efficient, which has practical implications for deployment costs and latency.

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DeepSeek releases open-source inference optimizations delivering up to 85% speed gains · ShortSingh