{"id":8535,"date":"2024-12-26T17:24:48","date_gmt":"2024-12-26T09:24:48","guid":{"rendered":"https:\/\/ai-stack.ai\/?p=8535"},"modified":"2025-01-20T13:57:09","modified_gmt":"2025-01-20T05:57:09","slug":"how-to-increase-gpu-utilization","status":"publish","type":"post","link":"https:\/\/ai-stack.ai\/zh-hant\/how-to-increase-gpu-utilization","title":{"rendered":"\u4f01\u696d\u5c0e\u5165AI\uff0c\u5982\u4f55\u63d0\u5347GPU\u4f7f\u7528\u7387?"},"content":{"rendered":"\n

\u96a8\u8457AI\u61c9\u7528\u5728\u4f01\u696d\u4e2d\u7684\u52a0\u901f\u666e\u53ca\uff0c\u8d8a\u4f86\u8d8a\u591a\u4f01\u696d\u9762\u81e8GPU\u7b97\u529b\u7121\u6cd5\u5145\u5206\u5229\u7528\u7684\u554f\u984c\u3002\u7121\u8ad6\u662f\u6a21\u578b\u8a13\u7df4\u9084\u662f\u63a8\u7406\u904e\u7a0b\uff0c\u90fd\u9700\u8981\u5f37\u5927\u7684GPU\u8cc7\u6e90\u4f86\u652f\u6301\u5927\u91cf\u7684\u8a08\u7b97\u9700\u6c42\u3002\u7136\u800c\uff0c\u96a8\u8457\u9700\u6c42\u589e\u52a0\uff0cGPU\u786c\u9ad4\u8cc7\u6e90\u7684\u4f9b\u61c9\u537b\u7121\u6cd5\u8fc5\u901f\u8ddf\u4e0a\uff0c\u5c0e\u81f4\u8cc7\u6e90\u5229\u7528\u7387\u4f4e\u4e0b\u3001\u6210\u672c\u4e0a\u5347\u7b49\u554f\u984c\u3002\u91dd\u5c0d\u9019\u4e00\u6311\u6230\uff0c\u6578\u4f4d\u7121\u9650INFINITIX \u7684 AI-Stack<\/a><\/strong>\u5e73\u53f0\u900f\u904e\u4e09\u5927\u6838\u5fc3\u6280\u8853\uff0c\u5e6b\u52a9\u4f01\u696d\u5be6\u73feGPU\u4f7f\u7528\u7387\u6700\u5927\u5316\uff0c\u89e3\u6c7aGPU\u7b97\u529b\u7121\u6cd5\u9748\u6d3b\u5145\u5206\u904b\u7528\u7684\u554f\u984c\u3002<\/p>\n\n\n\n

\u5728\u9019\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u5011\u5c07\u4ecb\u7d39AI-Stack\u5e73\u53f0\u7684\u4e09\u5927\u5c08\u696d\u6280\u8853\uff0c\u5305\u62ecGPU\u55ae\u7247\u5207\u5272\u3001\u591a\u7247\u805a\u5408\u548c\u8de8\u7bc0\u9ede\u904b\u7b97\uff0c\u63a2\u8a0e\u5982\u4f55\u5e6b\u52a9\u4f01\u696d\u66f4\u9748\u6d3b\u3001\u6709\u6548\u7387\u7684\u7ba1\u7406GPU\u8cc7\u6e90\uff0c\u63d0\u5347GPU\u4f7f\u7528\u7387\u3002<\/p>\n\n\n\n

AI-Stack\u7684\u4e09\u5927GPU\u7b97\u529b\u7ba1\u7406\u5c64\u6838\u5fc3\u6280\u8853<\/h2>\n\n\n\n
    \n
  1. GPU\u55ae\u7247\u5207\u5272\u6280\u8853(GPU partitioning)<\/strong>\n
      \n
    • \u6280\u8853\u6982\u8ff0<\/strong>\uff1aGPU\u55ae\u7247\u5207\u5272\u6280\u8853\u80fd\u5c07\u4e00\u5f35GPU\u5207\u5206\u70ba\u591a\u500b\u865b\u64ec\u5340\u584a\uff0c\u6eff\u8db3\u4e0d\u540c\u5927\u5c0f\u6a21\u578b\u7684\u8a13\u7df4\u9700\u6c42\u3002\u900f\u904e\u7cbe\u7d30\u7684\u5207\u5272\u5206\u914d\uff0c\u4e00\u5f35GPU\u53ef\u540c\u6642\u670d\u52d9\u591a\u500b\u5c0f\u578b\u4efb\u52d9\uff0c\u6709\u6548\u63d0\u5347\u8cc7\u6e90\u5229\u7528\u6548\u7387\u3002<\/li>\n\n\n\n
    • \u6548\u7387\u63d0\u5347<\/strong>\uff1a\u4f7f\u7528\u9019\u9805\u6280\u8853\uff0cGPU\u4f7f\u7528\u7387\u53ef\u63d0\u9ad8\u81f390%\u4ee5\u4e0a\uff0c\u5927\u5e45\u6e1b\u5c11\u904b\u7b97\u8cc7\u6e90\u7684\u6d6a\u8cbb\u3002\u4f01\u696d\u4e0d\u518d\u9700\u8981\u70ba\u5c0f\u578b\u4efb\u52d9\u984d\u5916\u8cfc\u7f6eGPU\uff0c\u5f9e\u800c\u964d\u4f4e\u6210\u672c\u3002<\/li>\n\n\n\n
    • \u9069\u7528\u5834\u666f<\/strong>\uff1a\u9019\u9805\u6280\u8853\u9069\u5408\u6709\u591a\u4efb\u52d9\u8655\u7406\u9700\u6c42\u7684\u4f01\u696d\uff0c\u5c24\u5176\u5728\u591a\u4efb\u52d9\u5c0f\u578b\u6a21\u578b\u8a13\u7df4\u4e2d\u5c24\u70ba\u6709\u6548\u3002\u5c0d\u65bcGPU\u8cc7\u6e90\u6709\u9650\u7684\u4f01\u696d\u4f86\u8aaa\uff0c\u9019\u662f\u4e00\u9805\u5177\u6210\u672c\u6548\u76ca\u7684\u89e3\u6c7a\u65b9\u6848\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n
      \"GPU\u55ae\u7247\u5207\u5272\u6280\u8853(GPU<\/figure>\n\n\n\n

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

        \n
      1. GPU\u591a\u7247\u805a\u5408\u6280\u8853(GPU aggregation)<\/strong>\n
          \n
        • \u6280\u8853\u6982\u8ff0<\/strong>\uff1a\u8207\u55ae\u7247\u5207\u5272\u6280\u8853\u4e0d\u540c\uff0cGPU\u591a\u7247\u805a\u5408\u6280\u8853\u65e8\u5728\u6574\u5408\u591a\u5f35GPU\u7684\u7b97\u529b\u4f86\u61c9\u5c0d\u5927\u578b\u6a21\u578b\u7684\u8a13\u7df4\u9700\u6c42\u3002\u901a\u904e\u805a\u5408\u591a\u7247GPU\u7684\u904b\u7b97\u80fd\u529b\uff0c\u4f01\u696d\u80fd\u8f15\u9b06\u61c9\u5c0d\u66f4\u5177\u6311\u6230\u6027\u7684\u6a21\u578b\u8a13\u7df4\u3002<\/li>\n\n\n\n
        • \u6548\u7387\u63d0\u5347<\/strong>\uff1a\u591a\u7247\u805a\u5408\u6280\u8853\u80fd\u986f\u8457\u52a0\u5feb\u5927\u578b\u6a21\u578b\u904b\u7b97\u7684\u8a13\u7df4\u901f\u5ea6\uff0c\u6eff\u8db3\u5927\u898f\u6a21\u7684AI\/ML\u6a21\u578b\u958b\u767c\uff0c\u5f9e\u800c\u63d0\u9ad8\u958b\u767c\u6548\u7387\u3002\u9019\u610f\u5473\u8457\u4f01\u696d\u53ef\u4ee5\u5728\u66f4\u77ed\u7684\u6642\u9593\u5167\u63a8\u51fa\u65b0\u7522\u54c1\u6216\u670d\u52d9\uff0c\u589e\u52a0\u5e02\u5834\u7af6\u722d\u529b\u3002<\/li>\n\n\n\n
        • \u9069\u7528\u5834\u666f<\/strong>\uff1a\u9019\u9805\u6280\u8853\u7279\u5225\u9069\u7528\u65bc\u8d85\u5927\u578b\u6a21\u578b\u6216\u8907\u96dc\u904b\u7b97\u61c9\u7528\u5834\u666f\u3002\u5c0d\u65bc\u9700\u5927\u91cf\u7b97\u529b\u7684\u4efb\u52d9\uff0c\u591a\u7247\u805a\u5408\u6280\u8853\u80fd\u5927\u5e45\u63d0\u9ad8\u8a08\u7b97\u6548\u80fd\uff0c\u6eff\u8db3\u4f01\u696d\u9ad8\u6027\u80fd\u9700\u6c42\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n
          \"GPU\u591a\u7247\u805a\u5408\u6280\u8853(GPU<\/figure>\n\n\n\n

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

            \n
          1. \u8de8\u7bc0\u9ede\u904b\u7b97\u6280\u8853(Cross-node Computing)<\/strong>\n
              \n
            • \u6280\u8853\u6982\u8ff0<\/strong>\uff1aAI-Stack\u5e73\u53f0\u53ef\u6839\u64da\u9700\u6c42\u5c07\u8a13\u7df4\u4efb\u52d9\u5206\u914d\u81f3\u591a\u500b\u7bc0\u9ede\u904b\u7b97\uff0c\u4e26\u5229\u7528\u5206\u6563\u5f0f\u8a13\u7df4\u6280\u8853\uff0c\u5c07\u591a\u500b\u5bb9\u5668\u7d44\u7e54\u6210\u8a13\u7df4\u7fa4\u7d44\uff0c\u5e73\u884c\u5206\u6563\u8655\u7406\u5de8\u91cf\u6578\u64da\uff0c\u6709\u6548\u7e2e\u6e1b\u6a21\u578b\u8a13\u7df4\u6642\u9593\uff0c\u63d0\u5347\u904b\u7b97\u6548\u7387\u548c\u8cc7\u6e90\u5229\u7528\u7387\u3002<\/li>\n\n\n\n
            • \u6548\u7387\u63d0\u5347<\/strong>\uff1a\u8de8\u7bc0\u9ede\u904b\u7b97\u6280\u8853\u6e1b\u5c11\u4e86\u55ae\u4e00\u7bc0\u9ede\u7684\u8ca0\u64d4\uff0c\u6709\u6548\u63d0\u9ad8\u4e86\u8a08\u7b97\u8cc7\u6e90\u7684\u5229\u7528\u7387\u3002\u4f01\u696d\u53ef\u4ee5\u4f7f\u7528\u9019\u9805\u6280\u8853\u4f86\u5be6\u73fe\u66f4\u9ad8\u6548\u7684\u904b\u7b97\u8ca0\u8f09\u7ba1\u7406\uff0c\u78ba\u4fdd\u6bcf\u4e00\u500bGPU\u8cc7\u6e90\u90fd\u5f97\u5230\u5145\u5206\u5229\u7528\u3002<\/li>\n\n\n\n
            • \u9069\u7528\u5834\u666f<\/strong>\uff1a\u8a72\u6280\u8853\u7279\u5225\u9069\u5408\u9700\u8981\u5927\u898f\u6a21\u904b\u7b97\u7684\u61c9\u7528\u5834\u666f\uff0c\u4f8b\u5982\u6df1\u5ea6\u5b78\u7fd2\u4e2d\u7684\u5206\u5e03\u5f0f\u8a13\u7df4\u6216\u9ad8\u6548\u80fd\u904b\u7b97(HPC)\u5de5\u4f5c\u8ca0\u8f09\u3002\u8de8\u7bc0\u9ede\u904b\u7b97\u80fd\u63d0\u5347\u7cfb\u7d71\u7684\u64f4\u5c55\u6027\u548c\u9748\u6d3b\u6027\uff0c\u662f\u5927\u898f\u6a21AI\u90e8\u7f72\u7684\u7406\u60f3\u9078\u64c7\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n
              \"\"<\/figure>\n\n\n\n

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

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

              AI-Stack\u7684\u512a\u52e2<\/h2>\n\n\n\n

              \u6578\u4f4d\u7121\u9650\u7684AI-Stack\u5e73\u53f0\u96c6\u6210\u4e86\u4e0a\u8ff0\u4e09\u5927\u6280\u8853\uff0c\u80fd\u5920\u70ba\u4f01\u696d\u63d0\u4f9b\u9ad8\u5ea6\u9748\u6d3b\u7684GPU\u8cc7\u6e90\u7ba1\u7406\u65b9\u6848\u3002\u5b83\u4e0d\u50c5\u80fd\u5e6b\u52a9\u4f01\u696d\u6700\u5927\u5316\u73fe\u6709\u7684\u786c\u9ad4\u8cc7\u6e90\u3001\u964d\u4f4e\u6210\u672c\uff0c\u66f4\u80fd\u9069\u61c9\u4e0d\u540c\u898f\u6a21\u7684AI\u958b\u767c\u9700\u6c42\uff0c\u5f9e\u5c0f\u578b\u6a21\u578b\u8a13\u7df4\u5230\u5927\u578b\u5206\u6563\u5f0f\u904b\u7b97\u90fd\u80fd\u6e38\u5203\u6709\u9918\u3002\u6b64\u5916\uff0cAI-Stack\u9084\u5177\u5099\u53cb\u5584\u7684\u4f7f\u7528\u8005\u4ecb\u9762\u548c\u5b8c\u5584\u7684\u8cc7\u6e90\u76e3\u63a7\u529f\u80fd\uff0c\u8b93\u4f01\u696d\u80fd\u5920\u8f15\u9b06\u7ba1\u7406\u4e26\u8ffd\u8e64GPU\u8cc7\u6e90\u7684\u4f7f\u7528\u60c5\u6cc1\uff0c\u5be6\u73fe\u6700\u4f73\u7684\u6548\u80fd\u3002<\/p>\n\n\n\n

              \u7d50\u8ad6<\/h2>\n\n\n\n

              \u96a8\u8457AI\u6280\u8853\u7684\u767c\u5c55\uff0cGPU\u7b97\u529b\u9700\u6c42\u53ea\u6703\u8d8a\u4f86\u8d8a\u5927\u3002\u5728\u786c\u9ad4\u8cc7\u6e90\u6709\u9650\u7684\u60c5\u6cc1\u4e0b\uff0c\u5982\u4f55\u63d0\u5347GPU\u7684\u4f7f\u7528\u6548\u7387\u6210\u70ba\u4f01\u696d\u6025\u9700\u89e3\u6c7a\u7684\u554f\u984c\u3002AI-Stack\u901a\u904eGPU\u55ae\u7247\u5207\u5272\u3001\u591a\u7247\u805a\u5408\u548c\u8de8\u7bc0\u9ede\u904b\u7b97\u4e09\u5927\u6280\u8853\uff0c\u70ba\u4f01\u696d\u63d0\u4f9b\u4e86\u4e00\u500b\u9ad8\u6548\u4e14\u5168\u9762\u7684\u89e3\u6c7a\u65b9\u6848\uff0c\u5e6b\u52a9\u4f01\u696d\u5728AI\u7af6\u8cfd\u4e2d\u4fdd\u6301\u512a\u52e2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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