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\u4e00\u952e\u5f0f\u62d3\u6251\u611f\u77e5<\/h3>\n

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\u52a8\u6001\u53c2\u6570\u4f18\u5316<\/h3>\n

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\u5f02\u5e38\u76d1\u63a7\u4e0e\u544a\u8b66<\/h3>\n

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\u5178\u578b\u5e94\u7528\u573a\u666f<\/h2>\n
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  • \u5927\u8bed\u8a00\u6a21\u578b\u9884\u8bad\u7ec3<\/strong>\uff1a\u5728\u5343\u5361 H200 \u96c6\u7fa4\u4e2d\uff0c\u901a\u8fc7 NCCL \u8c03\u4f18\u53ef\u52a0\u901f GPT-4 \u7ea7\u522b\u6a21\u578b\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\uff0c\u5355\u6b21\u8fed\u4ee3\u65f6\u95f4\u7f29\u77ed 18%\u3002<\/li>\n
  • \u79d1\u5b66\u8ba1\u7b97\u6a21\u62df<\/strong>\uff1a\u5982\u5206\u5b50\u52a8\u529b\u5b66\u3001\u6c14\u5019\u5efa\u6a21\u7b49\u591a GPU \u5e76\u884c\u4efb\u52a1\uff0c\u5de5\u5177\u81ea\u52a8\u9002\u914d MPI+OpenACC \u6df7\u5408\u7f16\u7a0b\u6a21\u578b\u3002<\/li>\n
  • \u6df7\u5408\u4e13\u5bb6\u6a21\u578b\uff08MoE\uff09<\/strong>\uff1a\u9488\u5bf9 H200 \u7684\u9ad8\u663e\u5b58\u5bb9\u91cf\uff0c\u4f18\u5316\u4e13\u5bb6\u95f4\u7684 All2All \u901a\u4fe1\uff0c\u964d\u4f4e\u8de8\u8282\u70b9\u6570\u636e\u642c\u8fd0\u5f00\u9500\u3002<\/li>\n<\/ul>\n

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