{"id":35404,"date":"2024-12-24T18:59:50","date_gmt":"2024-12-24T10:59:50","guid":{"rendered":"https:\/\/17aitech.com\/?p=35404"},"modified":"2024-12-24T18:59:50","modified_gmt":"2024-12-24T10:59:50","slug":"amd%e7%9a%84gpu%e8%b7%91ai%e6%a8%a1%e5%9e%8b%e7%bb%88%e4%ba%8eyes%e4%ba%86%ef%bc%9fpk%e8%8b%b1%e4%bc%9f%e8%be%beh100%e4%b8%8d%e5%b8%a6%e6%80%95%e7%9a%84","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=35404","title":{"rendered":"AMD\u7684GPU\u8dd1AI\u6a21\u578b\u7ec8\u4e8eYes\u4e86\uff1fPK\u82f1\u4f1f\u8fbeH100\u4e0d\u5e26\u6015\u7684"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:AMD\u7684GPU\u8dd1AI\u6a21\u578b\u7ec8\u4e8eYes\u4e86\uff1fPK\u82f1\u4f1f\u8fbeH100\u4e0d\u5e26\u6015\u7684<\/a><\/p>\n

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\u90fd\u5f88\u8d35\u3002<\/section>\n<\/section>\n<\/blockquote>\n<\/section>\n

AMD vs \u82f1\u4f1f\u8fbe\u7edd\u5bf9\u7b97\u662f\u4e00\u4e2a\u957f\u76db\u4e0d\u8870\u7684\u8bdd\u9898 \u2014\u2014 \u4ece\u73a9\u6e38\u620f\u7528\u54ea\u5bb6\u5f3a\u5230\u5982\u4eca\u8bad\u7ec3 AI \u54ea\u4e2a\u66f4\u9ad8\u6548\uff1f\u539f\u56e0\u4e5f\u5f88\u7b80\u5355\uff1a\u5b83\u4eec\u7684 GPU \u4ea7\u54c1\u5b58\u5728\u76f4\u63a5\u7ade\u4e89\u5173\u7cfb\u3002<\/p>\n

\u5f53\u7136\uff0c\u7b54\u6848\u901a\u5e38\u90fd\u504f\u5411\u4e8e\u82f1\u4f1f\u8fbe\uff0c\u5c24\u5176\u662f\u5728 AI \u7b97\u529b\u65b9\u9762\uff0c\u6b63\u5982\u524d\u4e9b\u5929\u674e\u6c90\u5728\u4e0a\u6d77\u4ea4\u5927\u6f14\u8bb2\u65f6\u8c08\u5230\u7684\u90a3\u6837\uff1a\u300c\u7b97\u529b\u8fd9\u5757\uff0c\u4f60\u53ef\u4ee5\u7528\u522b\u7684\u82af\u7247\uff0c\u4f46\u662f\u8fd9\u4e9b\u82af\u7247\u7528\u6765\u505a\u63a8\u7406\u8fd8 OK\uff0c\u505a\u8bad\u7ec3\u7684\u8bdd\u8fd8\u8981\u7b49\u51e0\u5e74\u7684\u6837\u5b50\uff0c\u82f1\u4f1f\u8fbe\u8fd8\u662f\u5904\u5728\u4e00\u4e2a\u5784\u65ad\u7684\u5730\u4f4d\u3002\u300d<\/p>\n

\u4f46\u57fa\u4e8e\u5b9e\u8bc1\u7684\u5bf9\u6bd4\u7814\u7a76\u5374\u5f80\u5f80\u53c8\u4f1a\u7ed9\u51fa\u4e0d\u4e00\u6837\u7684\u7b54\u6848\uff0c\u6bd4\u5982\u5728\u540c\u4e00\u4e2a\u6f14\u8bb2\u4e2d\uff0c\u674e\u6c90\u8fd8\u63d0\u5230\u4e86\u8fd9\u4e24\u5bb6 GPU \u7684\u5185\u5b58\u60c5\u51b5\uff0c\u5bf9\u6b64\u4ed6\u8868\u793a\uff1a\u300c\u5728\u8fd9\u4e00\u5757\uff0c\u867d\u7136\u82f1\u4f1f\u8fbe\u662f\u9886\u5148\u8005\uff0c\u4f46\u5176\u5b9e\u82f1\u4f1f\u8fbe\u662f\u4e0d\u5982 AMD \u7684\uff0c\u751a\u81f3\u4e0d\u5982 Google \u7684 TPU\u3002\u300d<\/p>\n

\u5b9e\u9645\u4e0a\uff0c\u4e0d\u5c11\u4e1a\u5185\u4eba\u58eb\u90fd\u8868\u8fbe\u8fc7\u5bf9 AMD \u5360\u636e\u66f4\u5927\u5e02\u573a\u4efd\u989d\u7684\u4fe1\u5fc3\uff0c\u6bd4\u5982 Transformer \u4f5c\u8005\u53ca\u751f\u6210\u5f0f AI \u521d\u521b\u516c\u53f8 Cohere \u521b\u59cb\u4eba\u4e4b\u4e00\u827e\u4e39\u30fb\u6208\u9ea6\u65af\uff08Aidan Gomez\uff09\u524d\u4e9b\u5929\u8bf4\uff1a\u300c\u6211\u8ba4\u4e3a AMD \u548c Tranium \u8fd9\u4e9b\u5e73\u53f0\u5f88\u5feb\u4e5f\u5c06\u505a\u597d\u771f\u6b63\u8fdb\u5165\u4e3b\u6d41\u5e02\u573a\u7684\u51c6\u5907\u3002\u300d<\/p>\n

\u8fd1\u65e5\uff0c\u4e13\u6ce8\u8ba1\u7b97\u786c\u4ef6\u7684\u79d1\u6280\u5a92\u4f53 The Information \u53d1\u5e03\u4e86\u4e00\u4efd\u5bf9\u6bd4\u8bc4\u6d4b\u62a5\u544a\uff0c\u58f0\u79f0\u662f\u9996\u4e2a\u76f4\u63a5\u5bf9\u6bd4 AMD \u548c\u82f1\u4f1f\u8fbe AI \u96c6\u7fa4\u7684\u57fa\u51c6\u8bc4\u6d4b\u3002\u8be5\u62a5\u544a\u7684\u6570\u636e\u6765\u81ea MLCommons\uff0c\u8fd9\u662f\u4e00\u4e2a\u7531\u4f9b\u5e94\u5546\u4e3b\u5bfc\u7684\u8bc4\u6d4b\u673a\u6784\u3002<\/p>\n

\u4ed6\u4eec\u6784\u5efa\u4e86\u4e00\u5957 MLPerf AI \u8bad\u7ec3\u548c\u63a8\u7406\u57fa\u51c6\u3002AMD Instinct \u300cAntares\u300d MI300X GPU \u4ee5\u53ca\u82f1\u4f1f\u8fbe\u7684\u300cHopper\u300dH100 \u548c H200 \u548c\u300cBlackwell\u300dB200 GPU \u90fd\u5f97\u5230\u4e86\u8bc4\u4f30\u3002The Information \u5bf9\u6bd4\u4e86\u8fd9\u4e9b\u8bc4\u4f30\u6570\u636e\u3002<\/p>\n

\u7ed3\u679c\u8868\u660e\uff1a\u5728 AI \u63a8\u7406\u57fa\u51c6\u4e0a\uff0cMI300X GPU \u7edd\u5bf9\u80fd\u6bd4\u80a9 H100 GPU\uff0c\u800c\u6839\u636e The Information \u5bf9 GPU \u6210\u672c\u53ca\u7cfb\u7edf\u603b\u6210\u672c\u7684\u4f30\u8ba1\uff0c\u8bf4 MI300X GPU \u80fd\u5ab2\u7f8e H100 \u548c H200 GPU \u4e5f\u4e0d\u4e3a\u8fc7\u3002\u4f46\u662f\uff0c\u4e5f\u9700\u8981\u8bf4\u660e\u8fd9\u4e9b\u6d4b\u8bd5\u5b58\u5728\u5c40\u9650\uff1a\u4ec5\u4f7f\u7528\u4e86\u4e00\u79cd\u6a21\u578b\uff0c\u5373\u6765\u81ea Meta \u7684 Llama 2 70B\u3002\u5e0c\u671b\u672a\u6765\u80fd\u770b\u5230\u8fd9\u4e9b\u6d4b\u8bd5\u4e2d\u4f7f\u7528\u66f4\u591a\u4e0d\u540c\u7684 AI \u6a21\u578b\u3002<\/p>\n

\u5bf9 MI300X \u53ca AMD \u672a\u6765\u7684 GPU \u6765\u8bf4\uff0c\u8fd9\u4e2a\u7ed3\u679c\u5f88\u662f\u4e0d\u9519\u3002<\/p>\n

\u4f46\u5230\u4eca\u5e74\u5e74\u5e95\u65f6\uff0c\u8003\u8651\u5230\u82f1\u4f1f\u8fbe Blackwell B100 \u548c B200 GPU \u7684\u9884\u671f\u4ef7\u683c\uff0c\u4f3c\u4e4e\u82f1\u4f1f\u8fbe\u5c06\u4e0e AMD MI300X \u52a0\u901f\u5668\u5f00\u59cb\u6bd4\u62fc\u6027\u4ef7\u6bd4\u3002\u53e6\u5916\uff0c\u4e5f\u8bb8 AMD \u4f1a\u5728\u4eca\u5e74\u665a\u4e9b\u65f6\u5019\u63a8\u51fa MI325X GPU\u3002<\/p>\n

\u91cd\u70b9\u5173\u6ce8\u63a8\u7406<\/strong><\/p>\n

AMD \u7684\u6570\u636e\u76f4\u5230\u4e0a\u5468\u624d\u53d1\u5e03\u3002\u4e1a\u5185\u6709\u4f20\u8a00\u8bf4 AMD \u7b7e\u4e86\u4e00\u4e9b\u5927\u8ba2\u5355\uff0c\u4f1a\u628a MI300X \u51fa\u552e\u7ed9\u8d85\u5927\u89c4\u6a21\u8ba1\u7b97\u516c\u53f8\u548c\u4e91\u6784\u5efa\u5546\uff0c\u4ee5\u652f\u6491\u4ed6\u4eec\u7684\u63a8\u7406\u5de5\u4f5c\u8d1f\u8f7d\u3002\u65e0\u602a\u4e4e AMD \u76f4\u5230\u4e0a\u5468\u624d\u53d1\u5e03 MLPerf Inference v4.1 \u6d4b\u8bd5\u7ed3\u679c\u3002<\/p>\n

\u5bf9 MLPerf \u63a8\u7406\u7ed3\u679c\u7684\u5206\u6790\u8868\u660e\uff0c\u5728\u4f7f\u7528 Llama 2 70B \u6a21\u578b\u6267\u884c\u63a8\u7406\u4efb\u52a1\u65f6\uff0cMI300X \u5728\u6027\u80fd\u548c\u6210\u672c\u4e0a\u786e\u5b9e\u80fd\u4e0e H100 \u6bd4\u80a9\u3002\u4f46\u548c H200 \u76f8\u6bd4\u5c31\u5dee\u70b9\u4e86\uff0c\u6bd5\u7adf H200 \u6709\u66f4\u5927\u7684 HBM \u5185\u5b58\uff08141GB\uff09\u548c\u66f4\u9ad8\u7684\u5e26\u5bbd\u3002\u5982\u679c Blackwell \u7684\u5b9a\u4ef7\u7b26\u5408\u9884\u671f\uff0c\u90a3\u4e48\u4eca\u5e74\u665a\u4e9b\u65f6\u5019\u63a8\u51fa\u7684 MI325 \u4e3a\u4e86\u5177\u5907\u7ade\u4e89\u529b\uff0c\u5c31\u5fc5\u987b\u5f97\u62e5\u6709\u66f4\u5927\u7684\u5185\u5b58\u3001\u66f4\u9ad8\u7684\u5e26\u5bbd\u548c\u66f4\u6fc0\u8fdb\u7684\u4ef7\u683c\u624d\u884c\u3002<\/p>\n

\u4e0b\u9762\u662f\u6700\u65b0\u53d1\u5e03\u7684 MLPerf \u57fa\u51c6\u8bc4\u6d4b\u7ed3\u679c\uff1a<\/p>\n

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

\u82f1\u4f1f\u8fbe\u7684 MLPerf \u57fa\u51c6\u8bc4\u6d4b\u7ed3\u679c\u6765\u81ea\u82f1\u4f1f\u8fbe\u81ea\u8eab\uff0c\u5176\u4e2d\u4e5f\u5305\u62ec\u4f7f\u7528 Llama 2 70B \u6a21\u578b\u5728\u5355\u53f0 Blackwell B200 SXM \u4e0a\u7684\u7ed3\u679c\uff0c\u8be6\u60c5\u53ef\u8bbf\u95ee\u8fd9\u7bc7\u535a\u5ba2\uff1ahttps:\/\/blogs.nvidia.com\/blog\/mlperf-inference-benchmark-blackwell\/<\/p>\n

The information \u63d0\u53d6\u4e86\u6240\u6709\u82f1\u4f1f\u8fbe\u7684\u7ed3\u679c\uff0c\u5e76\u65b0\u589e\u4e86 Juniper Networks \u5728\u5305\u542b 2 \u4e2a\u548c 4 \u4e2a\u8282\u70b9\u7684 HGX H100 \u96c6\u7fa4\u4e0a\u5f97\u5230\u7684\u7ed3\u679c\uff08\u603b\u5171 8 \u548c 16 \u53f0 H100\uff09\u3002<\/p>\n

AMD \u5728\u914d\u5907\u4e00\u5bf9\u5f53\u524d\u7684\u300cGenoa\u300dEpyc 9004 \u7cfb\u5217\u5904\u7406\u5668\u548c\u516b\u53f0 Antares MI300X GPU \u7684\u670d\u52a1\u5668\u8282\u70b9\u4e2d\u6d4b\u8bd5\u4e86\u6807\u51c6\u901a\u7528\u57fa\u677f\uff08UBB\uff09\uff0c\u8fd8\u6d4b\u8bd5\u4e86\u4e00\u53f0\u5c06 Genoa CPU \u6362\u6210\u5373\u5c06\u63a8\u51fa\u7684\u300cTurin\u300dEpyc 9005 \u7cfb\u5217 CPU \u7684\u673a\u5668\uff0c\u8be5\u7cfb\u5217 CPU \u9884\u8ba1\u5c06\u5728\u4e0b\u4e2a\u6708\u5de6\u53f3\u63a8\u51fa\u3002<\/p>\n

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

AMD \u8fd8\u5411 The Next Platform \u63d0\u4f9b\u4e86\u4e00\u5f20\u56fe\u8868\uff0c\u5176\u4e2d\u5c55\u793a\u4e86\u5728 Genoa \u76d2\u5b50\u4e0a\u6d4b\u8bd5\u4e00\u53f0 MI300X GPU \u7684\u6027\u80fd\uff0c\u8fd9\u53ef\u4ee5\u663e\u793a\u8282\u70b9\u5185 GPU \u7684\u6269\u5c55\u6027\u80fd\uff1a<\/p>\n

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

\u8ba9\u6211\u4eec\u5148\u770b\u6027\u80fd\uff0c\u7136\u540e\u518d\u770b\u6027\u4ef7\u6bd4\u3002<\/p>\n

\u5bf9\u4e8e\u6027\u80fd\uff0c\u6211\u4eec\u60f3\u77e5\u9053\uff0c\u5728\u6267\u884c Llama 2 \u63a8\u7406\u65f6\uff0cAMD \u548c\u82f1\u4f1f\u8fbe\u8bbe\u5907\u6240\u5177\u5907\u7684\u6f5c\u5728\u5cf0\u503c\u6d6e\u70b9\u6027\u80fd\u6709\u591a\u5c11\u4f1a\u88ab\u5b9e\u9645\u7528\u4e8e\u751f\u6210 token\u3002\u4f46\u5e76\u6ca1\u6709\u8fd9\u65b9\u9762\u7684\u5177\u4f53\u6570\u636e\uff0c\u56e0\u4e3a GPU \u5229\u7528\u7387\u548c\u5185\u5b58\u5229\u7528\u7387\u4e0d\u5728\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u3002\u4e0d\u8fc7\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5df2\u6709\u6570\u636e\u8fdb\u884c\u63a8\u65ad\u3002<\/p>\n

AMD GPU \u914d\u7f6e\u4e86 PyTorch 2.3.0 \u6846\u67b6\u548c AMD \u7684 ROCm 6.1.2 \u8f6f\u4ef6\u5e93\u548c runtimes\uff0c\u5b83\u7c7b\u4f3c\u4e8e\u82f1\u4f1f\u8fbe\u7684 CUDA \u5806\u6808\u3002\u5728 MI300X \u7684\u5f20\u91cf\u6838\u5fc3\u4e0a\u7684\u5cf0\u503c FP16 \u6027\u80fd\u4e3a 1307.4 TFlops\uff0c\u4f46\u8fd9\u662f\u5728\u670d\u52a1\u5668\u6a21\u5f0f\u4e0b\u8fd0\u884c\u7684\uff08\u4e5f\u5c31\u662f\u4f7f\u7528\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u770b\u5230\u7684\u4e00\u79cd\u968f\u673a\u67e5\u8be2\uff09\uff0c\u53ef\u77e5\u5728\u8fd0\u884c Llama 2 70B \u6a21\u578b\u65f6\uff0c\u5355\u53f0 MI300X \u6bcf\u79d2\u751f\u6210 2530.7 \u4e2a token\u3002\u56e0\u6b64\uff0cLlama 2 \u6027\u80fd\u4e0e\u5047\u8bbe\u5cf0\u503c Flops \u4e4b\u6bd4\u4e3a 1.94\u3002\u5f53\u6269\u5c55\u5230 8 \u53f0 MI300X \u8bbe\u5907\u5e76\u6362\u7528\u66f4\u9ad8\u901f\u7684 CPU\uff0c\u5219\u8fd9\u4e00\u6bd4\u503c\u4f1a\u7565\u5fae\u5347\u81f3 2.01 \u5230 2.11\u3002<\/p>\n

\u6211\u4eec\u77e5\u9053\uff0cH100 GPU \u7684 HBM \u5185\u5b58\u4ec5\u6709 80GB\uff0c\u542f\u52a8\u5e26\u5bbd\u4e5f\u8f83\u4f4e\uff0c\u8fd9\u662f\u56e0\u4e3a\u7f3a\u5c11 HBM3 \u548c HBM3E \u5185\u5b58\u5bfc\u81f4\u7684\u5185\u5b58\u914d\u7f6e\u4e0d\u8db3\u3002MI300X \u4e5f\u662f\u7c7b\u4f3c\u3002\u5927\u5bb6\u90fd\u5728\u62c9\u4f4e GPU \u7684\u5185\u5b58\u914d\u7f6e\uff0c\u8fd9\u6837\u4e0d\u4ec5\u662f\u4e3a\u4e86\u591a\u5356\u4e9b\u8bbe\u5907\uff0c\u800c\u4e14\u4e5f\u56e0\u4e3a\u5728 GPU \u82af\u7247\u9644\u8fd1\u5806\u53e0 HBM \u7684\u96be\u5ea6\u5f88\u5927\uff0c\u5e76\u4e14\u8fd8\u6709\u5c01\u88c5\u5236\u9020\u5de5\u827a\u7684\u95ee\u9898\u3002<\/p>\n

\u518d\u770b\u770b\u82f1\u4f1f\u8fbe\u6d4b\u8bd5\u7684 H100 \u7cfb\u7edf\uff0c\u6bcf\u79d2\u670d\u52a1\u5668 token \u4e0e\u5cf0\u503c FP16 Flops \u7684\u6bd4\u503c\u662f 2.6 \u6216 2.73\uff0c\u8fd9\u6bd4 AMD \u7684\u66f4\u597d\uff0c\u8fd9\u53ef\u80fd\u8981\u5f52\u7ed3\u4e8e\u8f6f\u4ef6\u8c03\u6574\u3002\u9488\u5bf9 H100\uff0cCUDA \u5806\u6808\u548c TensorRT \u63a8\u7406\u5f15\u64ce\u8fdb\u884c\u4e86\u5927\u91cf\u8c03\u6574\uff0c\u73b0\u5728\u4f60\u660e\u767d\u4e3a\u4ec0\u4e48 AMD \u5982\u6b64\u6e34\u671b\u6536\u8d2d\u4eba\u5de5\u667a\u80fd\u54a8\u8be2\u516c\u53f8 Silo AI \u4e86\u5427\uff1f\u8fd9\u7b14\u4ea4\u6613\u51e0\u5468\u524d\u521a\u521a\u5b8c\u6210\u3002<\/p>\n

\u7531\u4e8e\u5207\u6362\u5230\u4e86 HBM3E\uff0cH200 \u7684 HBM \u5185\u5b58\u5c06\u5927\u5e45\u63d0\u5347\u81f3 141 GB\uff0c\u5e26\u5bbd\u4e5f\u5c06\u4ece 3.35 TB\/s \u63d0\u5347\u81f3 4.8 TB\/s\u3002\u4e8e\u662f\u8fd9\u4e2a\u6bd4\u503c\u5c06\u589e\u81f3 4.25\uff0c\u800c\u82f1\u4f1f\u8fbe\u81ea\u5df1\u7684\u57fa\u51c6\u6d4b\u8bd5\u8868\u660e\uff0c\u53ea\u9700\u5728\u5b8c\u5168\u76f8\u540c\u7684 Hopper GH100 GPU \u4e0a\u6dfb\u52a0\u5185\u5b58\u5bb9\u91cf\u548c\u5e26\u5bbd\uff0cAI \u5de5\u4f5c\u8d1f\u8f7d\u5c31\u80fd\u63d0\u5347 1.6 \u81f3 1.9 \u500d\u3002<\/p>\n

MI300X \u5e94\u8be5\u5177\u6709\u4ec0\u4e48\u6837\u7684\u5185\u5b58\u5bb9\u91cf\u548c\u5e26\u5bbd\u624d\u80fd\u5e73\u8861\u5176\u5728\u63a8\u7406\uff08\u53ef\u80fd\u8fd8\u6709\u8bad\u7ec3\uff09\u5de5\u4f5c\u8d1f\u8f7d\u65b9\u9762\u7684\u6d6e\u70b9\u6027\u80fd\u5462\uff1f\u8fd9\u4e00\u70b9\u5f88\u96be\u4f30\u8ba1\u3002\u4f46 The Information \u7ed9\u51fa\u4e86\u4e00\u4e2a\u76f4\u89c9\u4f30\u8ba1\uff1aMI325X \u5c06\u5177\u6709 6 TB\/s \u7684\u5e26\u5bbd\uff08MI300 \u4e3a 5.3 TB\/s\uff09\u548c 288 GB \u7684 HBM3E\uff08 HBM3 \u4e3a 192 GB\uff09\u2014\u2014 \u8fd9\u662f\u671d\u7740\u6b63\u786e\u65b9\u5411\u8fc8\u51fa\u7684\u4e00\u5927\u6b65\u3002\u53e6\u5916\uff0cMI325X \u7684 FP16 \u6d6e\u70b9\u6027\u80fd\u4f3c\u4e4e\u8fd8\u662f 1.31 Pflops\u3002<\/p>\n

\u4e0d\u8fc7\u660e\u5e74\u7684 MI350 \u7684\u6d6e\u70b9\u6027\u80fd\u53ef\u80fd\u4f1a\u5927\u5e45\u63d0\u5347\uff0c\u636e\u4fe1\u5176\u4f1a\u6709\u65b0\u8fed\u4ee3\u7684 CDNA \u67b6\u6784\uff1aCDNA 4\u3002\u5176\u4e0d\u540c\u4e8e Antares MI300A\u3001MI300X \u548c MI325X \u4e2d\u4f7f\u7528\u7684 CDNA 3 \u67b6\u6784\u3002MI350 \u5c06\u8f6c\u5411\u53f0\u79ef\u7535\u7684 3 \u7eb3\u7c73\u5de5\u827a\uff0c\u5e76\u589e\u52a0 FP6 \u548c FP4 \u6570\u636e\u7c7b\u578b\u3002\u636e\u63a8\u6d4b\uff0c\u5c06\u6709\u4e00\u4e2a\u5168 GPU \u7684 MI350X \u7248\u672c\uff0c\u4e5f\u8bb8\u8fd8\u6709\u4e00\u4e2a\u5e26\u6709 Turin CPU \u6838\u5fc3\u7684 MI350A \u7248\u672c\u3002<\/p>\n

\u4f60\u53ef\u80fd\u503e\u5411\u4e8e\u76f8\u4fe1 AMD MI300X \u548c\u82f1\u4f1f\u8fbe H100 \u4e4b\u95f4\u7684\u6027\u80fd\u5dee\u5f02\u662f\u56e0\u4e3a\uff1a\u4e00\u81f4\u6027\u4e92\u8fde\u5c06 GPU \u7ed1\u5b9a\u5230\u5176\u5404\u81ea UBB \u548c HGX \u677f\u4e0a\u7684\u5171\u4eab\u5185\u5b58\u590d\u5408\u4f53\u4e2d\u3002AMD \u673a\u5668\u4e0a\u7684\u662f Infinity Fabric\uff0c\u800c\u82f1\u4f1f\u8fbe\u673a\u5668\u4e0a\u7684\u662f NVSwitch\u3002Infinity Fabric \u7684\u6bcf\u53f0 GPU \u7684\u53cc\u5411\u5e26\u5bbd\u4e3a 128 GB\/s\uff0c\u800c NVLink 4 \u7aef\u53e3\u548c NVSwitch 3 \u4ea4\u6362\u673a\u7684\u5e26\u5bbd\u4e3a 900 GB\/s\uff0c\u56e0\u6b64\u82f1\u4f1f\u8fbe\u673a\u5668\u5728\u5185\u5b58\u4e00\u81f4\u6027\u8282\u70b9\u7ed3\u6784\u4e0a\u7684\u5e26\u5bbd\u9ad8 7 \u500d\u3002<\/p>\n

\u8fd9\u53ef\u80fd\u662f Llama 2 \u5de5\u4f5c\u8d1f\u8f7d\u6027\u80fd\u5dee\u5f02\u7684\u4e00\u90e8\u5206\u539f\u56e0\uff0c\u4f46 The Information \u8ba4\u4e3a\u4e0d\u662f\u3002\u539f\u56e0\u5982\u4e0b\u3002<\/p>\n

\u5355\u53f0 MI300X \u7684\u5cf0\u503c\u6027\u80fd\u4e3a 1.31 Pflops\uff0c\u6bd4 H100 \u6216 H200 \u7684 989.5 Tflops\uff08FP16 \u7cbe\u5ea6\uff09\u9ad8\u51fa 32.1%\uff0c\u4e14\u6ca1\u6709\u7a00\u758f\u77e9\u9635\u91cd\u65b0\u8c03\u6574\uff0c\u541e\u5410\u91cf\u7ffb\u500d\u3002MI300X \u7684\u5185\u5b58\u662f H100 \u7684 2.4 \u500d\uff0c\u4f46 Llama 2 \u63a8\u7406\u5de5\u4f5c\u6027\u80fd\u4ec5\u6bd4 H100 \u591a 7%\uff0c\u5e76\u4e14\u63a8\u7406\u8d1f\u8f7d\u4ec5\u4e3a H200 \u7684 60%\u3002\u6839\u636e\u82f1\u4f1f\u8fbe\u8fdb\u884c\u7684\u6d4b\u8bd5\uff0c\u76f8\u6bd4\u4e8e\u914d\u5907 180 GB \u5185\u5b58\u7684 Blackwell B200\uff0c\u8be5\u8bbe\u5907\u7684\u5de5\u4f5c\u6027\u80fd\u4ec5\u4e3a\u5176 23.5%\u3002<\/p>\n

\u636e\u4fe1 B200 \u7684\u5185\u5b58\u4e5f\u4f1a\u53d7\u9650\uff0c\u56e0\u6b64\u6839\u636e 6 \u6708\u4efd\u53d1\u5e03\u7684\u82f1\u4f1f\u8fbe\u8def\u7ebf\u56fe\uff0cB200 \u548c B100\uff08\u53ef\u80fd\uff09\u5c06\u5728 2025 \u5e74\u8fdb\u884c\u5185\u5b58\u5347\u7ea7\uff0c\u5bb9\u91cf\u53ef\u80fd\u4f1a\u63d0\u5347\u5230 272 GB \u5de6\u53f3\u3002H200 \u7684\u5185\u5b58\u5347\u7ea7\u4f1a\u9886\u5148\u4e8e MI300X\uff0c\u540e\u8005\u7684\u5347\u7ea7\u5c06\u5728\u4eca\u5e74\u665a\u4e9b\u65f6\u5019\u4f53\u73b0\u5728 MI32X \u4e0a\uff0c\u5e76\u4f1a\u5728\u5185\u5b58\u65b9\u9762\u9886\u5148 B200 Blackwell Ultra \u516d\u5230\u4e5d\u4e2a\u6708\u3002<\/p>\n

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

The Information \u8868\u793a\uff1a\u300c\u5982\u679c\u6211\u4eec\u8981\u4e70 GPU\uff0c\u6211\u4eec\u4f1a\u7b49 Hopper Ultra (H200)\u3001Blackwell Ultra (B200+) \u548c Antares Ultra (MI325X)\u3002\u62e5\u6709\u66f4\u591a HBM \u7684\u6570\u636e\u4e2d\u5fc3 GPU \u66f4\u5212\u7b97\u3002\u300d<\/p>\n

\u5f53\u7136\uff0c\u4f60\u4e5f\u53ef\u4ee5\u7b49\uff0c\u7528\u4f60\u73b0\u6709\u7684 GPU \u53c2\u52a0\u8fd9\u573a\u751f\u6210\u5f0f AI \u5927\u6218\u3002<\/p>\n

\u5f53\u7136\uff0c\u4e0a\u9762\u7684\u6570\u636e\u56f4\u7ed5\u7740\u63a8\u7406\uff0c\u81f3\u4e8e AI \u8bad\u7ec3\u65b9\u9762\u7684\u6570\u636e\uff0cAMD \u53ef\u80fd\u4f1a\u5728\u4eca\u5e74\u79cb\u5b63\u53d1\u5e03\u3002<\/p>\n

\u5b9e\u9645\u5e94\u7528\u7684\u6027\u4ef7\u6bd4<\/strong><\/p>\n

MI300X \u4e0e\u82f1\u4f1f\u8fbe\u7684 Hopper \u548c Blackwell \u7684\u6027\u4ef7\u6bd4\u5982\u4f55\u5462\uff1f<\/p>\n

\u4eca\u5e74\u65e9\u4e9b\u65f6\u5019\uff0c\u82f1\u4f1f\u8fbe\u8054\u5408\u521b\u59cb\u4eba\u517c CEO \u9ec4\u4ec1\u52cb\u5728 Blackwell \u53d1\u5e03\u540e\u8868\u793a\uff1a\u8fd9\u4e9b\u8bbe\u5907\u7684\u4ef7\u683c\u5c06\u5728 3.5 \u81f3 4 \u4e07\u7f8e\u5143\u4e4b\u95f4\u3002Hopper GPU \u7684\u4ef7\u683c\u53ef\u80fd\u4e3a 2.25 \u4e07\u7f8e\u5143\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u914d\u7f6e\u3002\u9ec4\u4ec1\u52cb\u5728 2023 \u5e74\u65f6\u66fe\u8868\u793a\uff0c\u4e00\u5957\u914d\u7f6e\u5b8c\u6210\u7684 HGX H100 \u7cfb\u7edf\u677f\u7684\u4ef7\u683c\u552e\u4ef7 20 \u4e07\u7f8e\u5143\u3002\u81f3\u4e8e H200\uff0c\u5982\u679c\u5355\u72ec\u8d2d\u4e70\uff0c\u4ef7\u683c\u5e94\u8be5\u662f 3 \u4e07\u7f8e\u5143\u3002MI300X \u7684\u552e\u4ef7\u5927\u6982\u662f 2 \u4e07\u7f8e\u5143\uff0c\u4f46\u8fd9\u57fa\u672c\u57fa\u4e8e\u731c\u6d4b\u3002\u5177\u4f53\u8fd8\u8981\u770b\u6d88\u8d39\u8005\u548c\u5e02\u573a\u60c5\u51b5\u3002<\/p>\n

\u5f53\u7136\uff0c\u5927\u91cf\u8d2d\u4e70\u5e94\u8be5\u8fd8\u6709\u6298\u6263\uff0c\u6b63\u5982\u9ec4\u4ec1\u52cb\u559c\u6b22\u8bf4\u7684\u90a3\u6837\uff1a\u300c\u4e70\u5f97\u8d8a\u591a\uff0c\u7701\u5f97\u8d8a\u591a\u3002\u300d\uff08The More You Buy, The More You Save\uff09<\/p>\n

\u7c97\u7565\u4f30\u8ba1\uff0c\u5c06\u8fd9\u4e9b GPU \u53d8\u6210\u670d\u52a1\u5668\uff08\u4e24\u53f0 CPU\u3001\u5927\u91cf\u4e3b\u5185\u5b58\u3001\u7f51\u5361\u548c\u4e00\u4e9b\u95ea\u5b58\uff09\u7684\u6210\u672c\u7ea6\u4e3a 15 \u4e07\u7f8e\u5143\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d2\u5165\u82f1\u4f1f\u8fbe\u7684 HGX \u677f\u6216 AMD \u7684 UBB \u677f\u6765\u6784\u5efa\u516b\u8def\u673a\u5668\u3002\u8003\u8651\u5230\u4e4b\u524d\u8ba1\u7b97\u7684\u5355\u53f0 GPU \u7684\u6027\u80fd\uff0c\u4e8e\u662f\u8fd9\u91cc\u4fbf\u4ee5\u8fd9\u4e00\u6210\u672c\u7684\u516b\u5206\u4e4b\u4e00\u8fdb\u884c\u8ba1\u7b97\u3002<\/p>\n

\u7efc\u5408\u8fd9\u4e9b\u6210\u672c\uff0c\u53ef\u4ee5\u770b\u5230 MI300X \u4e0e H100 \u4e00\u6837\u975e\u5e38\u70e7\u94b1\u3002<\/p>\n

\u6211\u4eec\u5df2\u7ecf\u77e5\u9053\uff0c\u5bf9\u4e8e Llama 2 70B \u63a8\u7406\u4efb\u52a1\uff0cH100 \u7cfb\u7edf\u4e2d\u5e73\u5747\u6bcf\u53f0 GPU \u6bcf\u79d2\u53ef\u8f93\u51fa 2700 \u4e2a token\uff0c\u8fd9\u6bd4 MI300X \u597d 7%\u3002H200 \u7684\u5185\u5b58\u662f 141 GB\uff0c\u662f\u539f\u6765\u7684\u4e24\u500d\u591a\uff0c\u800c\u5176\u63a8\u7406\u6027\u80fd\u63d0\u5347\u4e86 56%\uff0c\u4f46 GPU \u7684\u4ef7\u683c\u4ec5\u4e0a\u6da8\u4e86 33%\uff0c\u56e0\u6b64\u5176 GPU \u548c\u7cfb\u7edf\u5c42\u9762\u7684\u6027\u4ef7\u6bd4\u90fd\u5f97\u5230\u4e86\u63d0\u5347\u3002<\/p>\n

\u5982\u679c B200 \u7684\u4ef7\u683c\u5982\u9ec4\u4ec1\u52cb\u6240\u8bf4\u7684\u90a3\u6837\u4e3a 4 \u4e07\u7f8e\u5143\uff0c\u90a3\u4e48\u5728 Llama 2 70B \u6d4b\u8bd5\u4e2d\uff0c\u5176\u5728 GPU \u5c42\u9762\u4e0a\u6bcf\u5355\u4f4d\u63a8\u7406\u7684\u6210\u672c\u5c06\u964d\u4f4e\u8fd1\u4e00\u534a\uff0c\u5728\u7cfb\u7edf\u5c42\u9762\u4e0a\u5219\u4f1a\u7565\u591a\u4e8e\u4e00\u534a\u3002<\/p>\n

\u8003\u8651\u5230 Blackwell \u7684\u77ed\u7f3a\u4ee5\u53ca\u5e0c\u671b\u5728\u7ed9\u5b9a\u7a7a\u95f4\u548c\u7ed9\u5b9a\u70ed\u8303\u56f4\u5185\u5bb9\u7eb3\u66f4\u591a AI \u8ba1\u7b97\u7684\u9700\u6c42\uff0c\u56e0\u6b64\u4e5f\u53ef\u4ee5\u63a8\u65ad\u82f1\u4f1f\u8fbe\u53ef\u80fd\u4e3a\u6bcf\u53f0 B200 GPU \u5b9a\u4ef7 5 \u4e07\u7f8e\u5143 \u2014\u2014 \u5f88\u591a\u4eba\u90fd\u8fd9\u6837\u9884\u8ba1\u3002<\/p>\n

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\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:AMD\u7684GPU\u8dd1AI\u6a21\u578b\u7ec8\u4e8eYes\u4e86\uff1fPK\u82f1\u4f1f\u8fbeH100\u4e0d\u5e26\u6015\u7684<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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