{"id":38942,"date":"2025-02-26T07:01:51","date_gmt":"2025-02-25T23:01:51","guid":{"rendered":"https:\/\/17aitech.com\/?p=38942"},"modified":"2025-02-26T07:01:51","modified_gmt":"2025-02-25T23:01:51","slug":"deepseek%e5%bc%80%e6%ba%90flashmla%ef%bc%9ahopper-gpu%e8%a7%a3%e7%a0%81%e6%96%b0%e6%a0%87%e6%9d%86%ef%bc%8c%e6%b5%8b%e8%af%84%e5%a4%a7%e6%8f%ad%e7%a7%98%ef%bc%81","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=38942","title":{"rendered":"DeepSeek\u5f00\u6e90FlashMLA\uff1aHopper GPU\u89e3\u7801\u65b0\u6807\u6746\uff0c\u6d4b\u8bc4\u5927\u63ed\u79d8\uff01"},"content":{"rendered":"

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DeepSeek\u4eca\u5929\u6b63\u5f0f\u542f\u52a8\u4e3a\u671f\u4e94\u5929\u7684\u5f00\u6e90\u6210\u679c\u53d1\u5e03\u8ba1\u5212\uff0c\u9996\u4e2a\u4eae\u76f8\u7684\u9879\u76ee\u662f<\/span>FlashMLA<\/strong>\u3002\u8fd9\u4e00\u5f00\u6e90\u9879\u76ee\u5c06\u5148\u8fdb\u7684MLA\u7b97\u6cd5\u4e0eGPU\u4f18\u5316\u6280\u672f\u76f8\u7ed3\u5408\uff0c\u4e3a\u5927\u6a21\u578b\u63a8\u7406\u63d0\u4f9b\u4e86\u4e00\u5957\u9ad8\u6027\u80fd\u3001\u4f4e\u5ef6\u8fdf\u7684\u89e3\u7801\u65b9\u6848\u3002<\/span><\/p>\n

FlashMLA\u662f\u4e00\u6b3e\u4e13\u95e8\u4e3aHopper<\/mark> GPU\uff08\u6bd4\u5982H800 SXM5\uff09\u4f18\u5316\u7684\u9ad8\u6548MLA\u89e3\u7801\u5185\u6838\uff0c\u65e8\u5728\u52a0\u901f\u5927\u6a21\u578b\u7684\u8ba1\u7b97\u4efb\u52a1\uff0c\u5c24\u5176\u662f\u5728NVIDIA\u9ad8\u7aef\u663e\u5361\u4e0a\u63d0\u5347\u6027\u80fd\u3002<\/p>\n

\u901a\u8fc7FlashMLA\uff0c\u5f00\u53d1\u8005\u80fd\u591f\u5728\u5904\u7406\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b<\/mark>\u65f6\u663e\u8457\u63d0\u9ad8\u6548\u7387\uff0c\u964d\u4f4e\u5ef6\u8fdf\u3002\u4e0e\u4f20\u7edf\u89e3\u7801\u5668\u76f8\u6bd4\uff0cFlashMLA\u5728\u5904\u7406\u53ef\u53d8\u957f\u5ea6\u5e8f\u5217\u65f6\u5c55\u73b0\u51fa\u66f4\u9ad8\u7684\u8ba1\u7b97\u6548\u7387\u3002<\/p>\n

<\/a><\/p>\n

PPIO\u6d3e\u6b27\u4e91\u7b2c\u4e00\u65f6\u95f4\u5bf9FlashMLA\u5728\u4e3b\u6d41Hopper<\/mark> GPU\uff08H20\u3001H100\u3001H200\u3001H800\uff09\u4e0a\u7684\u6027\u80fd\u8fdb\u884c\u4e86\u8bc4\u6d4b\u3002\u5728\u6df1\u5165\u4e86\u89e3\u8bc4\u6d4b\u7ed3\u679c\u4e4b\u524d\uff0c\u6211\u4eec\u5148\u6765\u4e86\u89e3\u4e00\u4e0b\u76f8\u5173\u7684\u80cc\u666f\u77e5\u8bc6\u3002<\/p>\n

\u79d1\u666e\u65f6\u95f4\uff1a\u4ec0\u4e48\u662fHopper<\/mark> GPU\u3001\u89e3\u7801\u5185\u6838\u548cMLA\uff1f<\/strong><\/p>\n

\u2022Hopper<\/mark> GPU<\/strong>\uff1aNVIDIA\u63a8\u51fa\u7684\u65b0\u4e00\u4ee3\u9ad8\u6027\u80fdGPU\u67b6\u6784\uff0c\u4e13\u4e3aAI\u548c\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u8bbe\u8ba1\u3002\u5b83\u91c7\u7528\u5148\u8fdb\u5236\u7a0b\u6280\u672f\u548c\u521b\u65b0\u67b6\u6784\uff0c\u5728\u590d\u6742\u8ba1\u7b97\u4efb\u52a1\u4e2d\u63d0\u4f9b\u5353\u8d8a\u7684\u6027\u80fd\u548c\u80fd\u6548\u3002\u4e3b\u6d41\u7684Hopper<\/mark> GPU\u5305\u62ecH20\u3001H100\u3001H200\u548cH800\u3002<\/p>\n

\u2022\u89e3\u7801\u5185\u6838<\/strong>\uff1a\u4e13\u95e8\u7528\u4e8e\u52a0\u901f\u89e3\u7801\u4efb\u52a1\u7684\u786c\u4ef6\u6216\u8f6f\u4ef6\u6a21\u5757\u3002\u5728AI\u63a8\u7406\u4e2d\uff0c\u89e3\u7801\u5185\u6838\u80fd\u663e\u8457\u63d0\u5347\u6a21\u578b\u63a8\u7406\u7684\u901f\u5ea6\u548c\u6548\u7387\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u5e8f\u5217\u6570\u636e\u65f6\u3002<\/p>\n

\u2022MLA<\/strong>\uff1a\u591a\u5934\u6f5c\u5728\u6ce8\u610f\u529b\uff08Multi-head Latent Attention\uff09\u7684\u7b80\u79f0\uff0cMLA\u5bf9KV\u7f13\u5b58\u7684\u9700\u6c42\u66f4\u8f7b\u91cf\u5316<\/mark>\uff0c\u4f7f\u5176\u5728\u5904\u7406\u957f\u5e8f\u5217\u65f6\u66f4\u5bb9\u6613\u6269\u5c55\uff0c\u540c\u65f6\u6027\u80fd\u4e5f\u4f18\u4e8e\u4f20\u7edf\u7684\u591a\u5934\u6ce8\u610f\u529b\u673a\u5236<\/mark>\uff08Multi-Head Attention, MHA\uff09\u3002<\/p>\n

FlashMLA\u6027\u80fd\u5b9e\u6d4b<\/strong><\/p>\n

DeepSeek\u5b98\u65b9\u5ba3\u79f0\uff0cFlashMLA\u5728H800 SXM5 GPU\u4e0a\u53ef\u8fbe\u52303000 GB\/s\u7684\u5185\u5b58\u901f\u5ea6\u4e0a\u9650\u548c580 TFLOPS\u7684\u8ba1\u7b97\u4e0a\u9650\u3002\u5728PPIO\u6d3e\u6b27\u4e91\u5bf9FlashMLA\u7684\u8bc4\u6d4b\u4e2d\uff0c\u6211\u4eec\u5bf9\u4e0d\u540c\u53c2\u6570<\/mark>\u914d\u7f6e\u4e0b\u7684\u6027\u80fd\u8fdb\u884c\u4e86\u5168\u9762\u6d4b\u8bd5\u3002\u4e3a\u4e86\u66f4\u76f4\u89c2\u5730\u5c55\u793a\u7ed3\u679c\uff0c\u6a2a\u5750\u6807\u4f9d\u6b21\u8868\u793a\u6d4b\u8bd5\u7684\u53c2\u6570<\/mark>\u914d\u7f6e\uff0c\u5177\u4f53\u5305\u62ec\uff1a<\/p>\n

\u2022\u6279\u6b21<\/mark>\u5927\u5c0f\uff08Batch Size\uff09<\/p>\n

\u2022\u5e8f\u5217\u957f\u5ea6\uff08Sequence Length\uff09<\/p>\n

\u2022\u6ce8\u610f\u529b\u5934\u7684\u6570\u91cf\uff08Number of Attention Heads\uff09<\/p>\n

\u8bc4\u6d4b\u7ed3\u679c\u5982\u4e0b<\/strong>\uff1a\u00a0<\/p>\n

\u2022H20 GPU<\/strong>\uff1a\u5185\u5b58\u901f\u5ea6\u4e0a\u9650\u4e3a1024 GB\/s\uff0c\u8ba1\u7b97\u6027\u80fd\u4e0a\u9650\u4e3a126 TFLOPS\u3002<\/p>\n

<\/a><\/p>\n

\u2022H100 GPU<\/strong>\uff1a\u5185\u5b58\u901f\u5ea6\u4e0a\u9650\u4e3a2906 GB\/s\uff0c\u8ba1\u7b97\u6027\u80fd\u4e0a\u9650\u4e3a526 TFLOPS\u3002<\/p>\n

<\/a><\/p>\n

\u2022H200 GPU<\/strong>\uff1a\u5185\u5b58\u901f\u5ea6\u4e0a\u9650\u4e3a3887 GB\/s\uff0c\u8ba1\u7b97\u6027\u80fd\u4e0a\u9650\u4e3a512 TFLOPS\u3002<\/p>\n

<\/a><\/p>\n

\u2022H800 GPU<\/strong>\uff1a\u5185\u5b58\u901f\u5ea6\u4e0a\u9650\u4e3a 1785 GB\/s\uff0c\u8ba1\u7b97\u6027\u80fd\u4e0a\u9650\u4e3a 331 TFLOPS\u3002<\/p>\n

<\/a><\/p>\n

\u672c\u6d4b\u8bd5\u7ed3\u679c\u57fa\u4e8e\u5b98\u65b9\u6d4b\u8bd5\u811a\u672c\u3002\u7531\u4e8e\u5b98\u65b9\u6700\u4f18\u53c2\u6570<\/mark>\u914d\u7f6e\u672a\u77e5\uff0c\u6570\u636e\u53ef\u80fd\u672a\u8fbe\u5230\u7406\u8bba\u4e0a\u9650\u3002<\/p>\n

FlashMLA\u5bf9\u4e3b\u6d41\u63a8\u7406\u6846\u67b6\u7684\u5f71\u54cd<\/strong><\/p>\n

FlashMLA\u7684\u53d1\u5e03\u4e0d\u4ec5\u5438\u5f15\u4e86\u5f00\u53d1\u8005\u7684\u76ee\u5149\uff0c\u4e5f\u5f15\u8d77\u4e86\u4e3b\u6d41\u63a8\u7406\u6846\u67b6\u7684\u91cd\u89c6\u3002\u4e24\u5927\u70ed\u95e8\u6846\u67b6vLLM\u548cSGLang\u90fd\u5bf9FlashMLA\u505a\u51fa\u4e86\u79ef\u6781\u56de\u5e94\u3002<\/p>\n

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<\/p>\n

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