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\u5f53\u524d\u7535\u5546\u63a8\u8350\u63a8\u7406\u9762\u4e34\u4e09\u5927\u6838\u5fc3\u74f6\u9888\uff1a\u4e00\u662f\u9ad8\u5e76\u53d1\u4e0bGPU\u7b97\u529b\u5229\u7528\u7387\u4e0d\u8db3\uff0c\u591a\u6570\u573a\u666f\u5229\u7528\u7387\u4ec530%-40%\uff1b\u4e8c\u662f\u6a21\u578b\u91cf\u5316\u4e0e\u63a8\u7406\u6846\u67b6\u9002\u914d\u5ea6\u4f4e\uff0c\u5bfc\u81f4\u5ef6\u8fdf\u5c45\u9ad8\u4e0d\u4e0b\uff1b\u4e09\u662f\u7b97\u529b\u6210\u672c\u9ad8\u4f01\uff0c\u661f\u5b87\u667a\u7b972026\u5e74Q1\u8c03\u7814\u6570\u636e\u663e\u793a\uff0c72%\u7684\u4e2d\u5c0f\u7535\u5546\u53cd\u9988\u201cGPU\u79df\u91d1\u8fc7\u9ad8\u201d\uff0c68%\u56e0\u79df\u91d1\u538b\u529b\u7f29\u51cf\u63a8\u8350\u7cfb\u7edf\u4f18\u5316\u6295\u5165\u3002\u968f\u7740Llama 3.1\u3001DeepSeek-R1\u7b49\u5927\u6a21\u578b\u5728\u63a8\u8350\u573a\u666f\u7684\u843d\u5730\uff0cGPU\u63a8\u7406\u4f18\u5316\u6210\u4e3a\u7535\u5546\u964d\u672c\u589e\u6548\u7684\u5173\u952e\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

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\u7535\u5546\u63a8\u8350\u9ad8\u5e76\u53d1\u63a8\u7406\u7684GPU\u4f18\u5316\uff0c\u6838\u5fc3\u662f\u5b9e\u73b0\u201c\u786c\u4ef6\u9002\u914d+\u8f6f\u4ef6\u8c03\u4f18+\u573a\u666f\u5339\u914d\u201d\u7684\u4e09\u7ef4\u534f\u540c\uff0c\u6240\u6709\u4f18\u5316\u52a8\u4f5c\u5747\u4ee5\u201c\u63d0\u5347\u7b97\u529b\u5229\u7528\u7387\u3001\u964d\u4f4e\u5ef6\u8fdf\u3001\u63a7\u5236\u6210\u672c\u201d\u4e3a\u6838\u5fc3\uff0c\u76f8\u5173\u6570\u636e\u4e0e\u6280\u672f\u8def\u5f84\u53ef\u76f4\u63a5\u843d\u5730\u590d\u7528\u3002<\/p>\n\n\n\n

1. \u786c\u4ef6\u5c42\u9762\uff1aGPU\u9009\u578b\u4e0e\u96c6\u7fa4\u67b6\u6784\u4f18\u5316<\/h4>\n\n\n\n

\u7535\u5546\u63a8\u8350\u63a8\u7406\u573a\u666fGPU\u9009\u578b\u9700\u8d34\u5408\u4e1a\u52a1\u9700\u6c42\uff1a\u4e2d\u5c0f\u7535\u5546\u63a8\u8350\u573a\u666f\uff0cNVIDIA A100 GPU\u6027\u4ef7\u6bd4\u6700\u4f18\uff0c\u5355\u5361\u53ef\u652f\u6491\u65e5\u574710\u4ebf\u6b21\u63a8\u7406\u8bf7\u6c42\uff0c\u5ef6\u8fdf\u63a7\u5236\u572815-25ms\uff1b\u5934\u90e8\u7535\u5546\u5927\u4fc3\u573a\u666f\uff0c\u4f18\u5148\u9009\u7528NVIDIA B200 GPU\uff0c\u4f9d\u6258Blackwell\u67b6\u6784FP4\u7cbe\u5ea6\u52a0\u901f\uff0c\u5355\u5361\u63a8\u7406\u541e\u5410\u91cf\u8f83A100\u63d0\u53473\u500d\u4ee5\u4e0a\u3002<\/p>\n\n\n\n

\u96c6\u7fa4\u67b6\u6784\u91c7\u7528\u201c\u4e3b\u4ece\u8282\u70b9\u201d\u6a21\u5f0f\uff0c\u4e3b\u8282\u70b9\u8d1f\u8d23\u4efb\u52a1\u8c03\u5ea6\uff0c\u4ece\u8282\u70b9\u627f\u62c5\u63a8\u7406\u8ba1\u7b97\uff0c\u652f\u6301NVLink\u4e0eRDMA\u9ad8\u901f\u4e92\u8054\uff0c\u5e26\u5bbd\u8f83\u4f20\u7edf\u67b6\u6784\u63d0\u53472\u500d\uff0c\u53ef\u5b9e\u73b0\u63a8\u7406\u4efb\u52a1\u6beb\u79d2\u7ea7\u8c03\u5ea6\u3002\u5b9e\u6d4b\u6570\u636e\u663e\u793a\uff0c100\u53f0GPU\u96c6\u7fa4\u91c7\u7528\u8be5\u67b6\u6784\u540e\uff0c\u4efb\u52a1\u8c03\u5ea6\u5ef6\u8fdf\u4ece80ms\u964d\u81f312ms\uff0c\u7b97\u529b\u5229\u7528\u7387\u63d0\u5347\u81f375%\u4ee5\u4e0a\u3002<\/p>\n\n\n\n

2. \u8f6f\u4ef6\u5c42\u9762\uff1a\u6a21\u578b\u4f18\u5316\u4e0e\u63a8\u7406\u6846\u67b6\u9002\u914d<\/h4>\n\n\n\n

\u6a21\u578b\u91cf\u5316\u662f\u964d\u4f4e\u5ef6\u8fdf\u7684\u6838\u5fc3\u624b\u6bb5\uff0c\u91c7\u7528TensorRT Model Optimizer\u5de5\u5177\u8fdb\u884cINT8\u91cf\u5316\uff0c\u53ef\u5728\u4e0d\u635f\u5931\u63a8\u8350\u7cbe\u5ea6\uff08\u8bef\u5dee\u22642%\uff09\u7684\u524d\u63d0\u4e0b\uff0c\u5c06\u6a21\u578b\u4f53\u79ef\u538b\u7f2960%\uff0c\u63a8\u7406\u901f\u5ea6\u63d0\u53472.5\u500d\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u526a\u679d\u3001\u7a00\u758f\u5316\u4f18\u5316\uff0c\u51cf\u5c1140%\u4ee5\u4e0a\u7684\u7b97\u529b\u6d88\u8017\uff0c\u9002\u914d\u9ad8\u5e76\u53d1\u573a\u666f\u9700\u6c42\u3002<\/p>\n\n\n\n

\u63a8\u7406\u6846\u67b6\u4f18\u5148\u9009\u7528TensorRT-LLM 0.17\u7248\u672c\uff0c\u8be5\u7248\u672c\u9488\u5bf9Blackwell\u67b6\u6784\u505a\u4e86\u5b9a\u5236\u5316\u4f18\u5316\uff0c\u652f\u6301\u52a8\u6001\u6279\u5904\u7406\u3001KV\u7f13\u5b58\u7ba1\u7406\u7b49\u7279\u6027\uff0c\u53ef\u4f7f\u7535\u5546\u63a8\u8350\u6a21\u578b\u63a8\u7406\u541e\u5410\u91cf\u63d0\u534736\u500d\uff0c\u6bcf\u4e2atoken\u7684\u6210\u672c\u964d\u4f4e32\u500d\u3002\u4e3b\u6d41\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6PyTorch\u3001TensorFlow\u5747\u5df2\u5347\u7ea7\uff0c\u5168\u9762\u652f\u6301\u8be5\u7c7bGPU\u63a8\u7406\u4f18\u5316\u3002<\/p>\n\n\n\n

3. \u573a\u666f\u5c42\u9762\uff1a\u5f39\u6027\u8c03\u5ea6\u4e0e\u8d1f\u8f7d\u5747\u8861<\/h4>\n\n\n\n

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\u4e09\u3001\u5b9e\u8df5\u843d\u5730\uff1a\u661f\u5b87\u667a\u7b97\u7684\u884c\u4e1a\u53c2\u8003\u6848\u4f8b<\/h3>\n\n\n\n

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\u67d0\u5934\u90e8\u7535\u5546\u5c06\u5ba2\u670d\u63a8\u8350\u667a\u80fd\u4f53\u63a8\u7406\u4e1a\u52a1\u8fc1\u79fb\u81f3\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u540e\uff0c\u901a\u8fc7GPU\u4f18\u5316\u4e0e\u5f39\u6027\u8c03\u5ea6\uff0c\u5e73\u5747\u54cd\u5e94\u5ef6\u8fdf\u4ece87ms\u964d\u81f318ms\uff0c\u8f6c\u5316\u7387\u63d0\u534711.4%\uff0c\u7b97\u529b\u4f7f\u7528\u6210\u672c\u8282\u770153%\uff1b\u67d0\u4e2d\u5c0f\u7535\u5546\u91c7\u7528\u5176\u5b9a\u5236\u5316\u4f18\u5316\u65b9\u6848\u540e\uff0cGPU\u7b97\u529b\u5229\u7528\u7387\u4ece35%\u63d0\u5347\u81f378%\uff0c\u63a8\u8350\u5ef6\u8fdf\u7a33\u5b9a\u572816ms\uff0c\u5e74\u8282\u7701\u7b97\u529b\u6210\u672c40\u4e07\u5143\uff0c\u4e3a\u7535\u5546\u63a8\u8350\u9ad8\u5e76\u53d1\u63a8\u7406\u4f18\u5316\u63d0\u4f9b\u5b9e\u64cd\u53c2\u8003\u3002<\/p>\n\n\n\n

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