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DeepSeek's open-sourcing of DeepInfer addresses the critical challenge of reducing inference costs for large models, offering significant throughput gains through speculative decoding and optimized prefill computation. While currently optimized for Nvidia Blackwell GPUs with limited support for older architectures or Huawei chips, the framework provides a transparent alternative to proprietary solutions for serving high-volume token generation.

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DeepSeek open-sources DeepInfer, the inference framework behind its production services

SiliconANGLEOctober 20, 20264 min read

Chinese artificial intelligence startup Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd. today open-sourced DeepInfer, the inference framework behind its own production services. The release takes on the cost of serving large models to the public. DeepSeek calls reaching a massive user base at a reasonable price “the core problem an inference framework has […] The post DeepSeek open-sources DeepInfer, the inference framework behind its production services appeared first on SiliconANGLE.

Chinese artificial intelligence startup Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co. Ltd. today open-sourced DeepInfer, the inference framework behind its own production services. The release takes on the cost of serving large models to the public. DeepSeek calls reaching a massive user base at a reasonable price “the core problem an inference framework has to solve” in a deployment Q&A posted with the code. One cluster now serves 155 trillion tokens…

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