DeepSeek開源周第二日：首個面向MoE模型的開源EP通信庫
Deepseek 公佈了開源周第二天的產品，首個面向MoE模型的開源EP通信庫，支持實現了混合專家模型訓練推理的全棧優化。DeepEP 是一個專爲混合專家（MoE）和專家並行(EP)設計的高效通信庫。它致力於提供高吞吐量和低延遲的多對多 GPU 內核，通常被稱爲 MoE 調度和組合。DeepEP 不僅支持 FP8等低精度操作，還與 DeepSeek-V3論文提出的組限制門控算法相一致，優化了不對稱域帶寬轉發的內核，例如將數據從 NVLink 域轉發至 RDMA 域。這些內核具有高吞吐量，非常適合於訓練和推理預填充任務，並且可以對
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