[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”blog-detail-section”][vc_column][vc_column_text css=””]<\/p>\n

GPU\u670d\u52a1\u5668\u786c\u4ef6\u4f18\u5316<\/strong><\/h2>\n

\u9ad8\u6027\u80fdGPU\u670d\u52a1\u5668\u7684\u4f9b\u7535\u548c\u6563\u70ed<\/h3>\n

\u60a8\u9700\u8981\u5f3a\u5927\u7684\u4f9b\u7535\u548c\u6563\u70ed\u89e3\u51b3\u65b9\u6848\u6765\u652f\u6301\u9ad8\u6027\u80fdGPU\u670d\u52a1\u5668\u4e2d\u76848\u4e2aA100 GPU\u5355\u5143\u3002\u5bf9\u4e8e\u5bc6\u96c6\u7684GPU\u670d\u52a1\u5668\u786c\u4ef6,\u6c34\u51b7\u7cfb\u7edf\u6bd4\u7a7a\u6c14\u51b7\u5374\u7cfb\u7edf\u5de5\u4f5c\u5f97\u66f4\u597d\u3002\u8fd9\u4e9b\u7cfb\u7edf\u53ef\u4ee5\u9ad8\u6548\u6563\u70ed\u5e76\u4fdd\u6301\u6e29\u5ea6\u7a33\u5b9a\u3002\u60a8\u53ef\u4ee5\u907f\u514d\u70ed\u8282\u6d41,\u5728\u91cd\u8d1f\u8f7dAI\u548c\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u671f\u95f4\u4fdd\u6301\u7a33\u5b9a\u6027\u80fd\u3002\u6c34\u51b7\u8fd8\u4e3a\u8d85\u9891\u63d0\u4f9b\u4e86\u66f4\u591a\u7a7a\u95f4,\u53ef\u4ee5\u91ca\u653e\u989d\u5916\u6027\u80fd\u3002<\/p>\n

\n
• \u6c34\u51b7\u9002\u7528\u4e8e\u9ad8\u673a\u67b6\u5bc6\u5ea6,\u5982\u6bcf\u673a\u67b660-100 kW\u3002<\/li>\n
• \u76f4\u63a5\u6db2\u51b7\u53ef\u4ee5\u6563\u53bb\u9ad8\u8fbe60 kW\u7684\u70ed\u91cf,\u8fd9\u51cf\u5c11\u4e86\u6563\u70ed\u5f00\u9500\u3002<\/li>\n
• \u8f83\u4f4e\u7684\u8fd0\u884c\u6e29\u5ea6\u6709\u52a9\u4e8eNVIDIA A100\u5355\u5143\u4fdd\u6301\u5cf0\u503c\u6027\u80fd\u3002<\/li>\n
• \u6709\u6548\u7684\u6563\u70ed\u5ef6\u957f\u4e86GPU\u670d\u52a1\u5668\u786c\u4ef6\u7684\u4f7f\u7528\u5bff\u547d\u5e76\u964d\u4f4e\u80fd\u6e90\u4f7f\u7528\u3002<\/li>\n<\/ul>\n

  \u60a8\u5e94\u8be5\u9009\u62e9\u7b26\u5408AI\u57fa\u7840\u8bbe\u65bd\u9700\u6c42\u7684\u6563\u70ed\u89e3\u51b3\u65b9\u6848\u3002\u7a33\u5b9a\u7684\u6e29\u5ea6\u53ef\u4ee5\u4fdd\u62a4\u60a8\u7684\u6295\u8d44\u5e76\u4fdd\u6301\u96c6\u7fa4\u5e73\u7a33\u8fd0\u884c\u3002<\/p>\n

  A100 GPU\u7684\u673a\u7bb1\u548c\u4e3b\u677f<\/h3>\n

  \u4e3a\u652f\u63018\u4e2aNVIDIA A100\u5355\u5143\u9009\u62e9\u6b63\u786e\u7684\u673a\u7bb1\u548c\u4e3b\u677f\u81f3\u5173\u91cd\u8981\u3002\u8bb8\u591a\u670d\u52a1\u5668\u578b\u53f7\u90fd\u901a\u8fc7\u4e86\u6b64\u7528\u9014\u7684\u8ba4\u8bc1\u3002\u60a8\u53ef\u4ee5\u627e\u5230\u6765\u81eaSupermicro\u3001\u6234\u5c14\u79d1\u6280\u3001\u8054\u60f3\u548c\u534e\u7855\u7b49\u53ef\u4fe1\u5408\u4f5c\u4f19\u4f34\u7684\u9009\u9879\u3002\u8fd9\u4e9b\u578b\u53f7\u4e3a\u60a8\u7684GPU\u4e91\u5e73\u53f0\u63d0\u4f9b\u5f3a\u5927\u7684GPU\u670d\u52a1\u5668\u786c\u4ef6\u57fa\u7840\u3002<\/p>\n

  \u60a8\u5e94\u8be5\u6839\u636e\u5de5\u4f5c\u8d1f\u8f7d\u548c\u90e8\u7f72\u89c4\u6a21\u9009\u62e9\u673a\u7bb1\u548c\u4e3b\u677f\u3002\u8fd9\u786e\u4fdd\u60a8\u7684\u9ad8\u6027\u80fdGPU\u670d\u52a1\u5668\u80fd\u591f\u5904\u7406\u8981\u6c42\u82db\u523b\u7684\u4efb\u52a1\u3002<\/p>\n

  PCIe\u3001NVLink\u548c\u5e26\u5bbd<\/h3>\n

  \u60a8\u9700\u8981A100 GPU\u5355\u5143\u4e4b\u95f4\u7684\u5feb\u901f\u8fde\u63a5\u4ee5\u6700\u5927\u5316\u6027\u80fd\u3002NVLink\u548cPCIe Gen4\/Gen5\u63d0\u4f9b\u6570\u636e\u4f20\u8f93\u7684\u9ad8\u5e26\u5bbd\u3002NVLink\u63d0\u4f9b\u6bd4PCIe\u66f4\u9ad8\u7684\u5e26\u5bbd,\u8fd9\u6709\u52a9\u4e8e\u60a8\u7684AI\u548c\u6df1\u5ea6\u5b66\u4e60\u5de5\u4f5c\u8d1f\u8f7d\u8fd0\u884c\u5f97\u66f4\u5feb\u3002NVIDIA A100\u4f7f\u7528NVLink\u76f4\u63a5\u8fde\u63a5GPU,\u51cf\u5c11\u74f6\u9888\u5e76\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n

  \n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n

  \u6280\u672f<\/th>\n	\u5355\u5411\u5e26\u5bbd<\/th>\n	\u603b\u5e26\u5bbd(\u53cc\u5411)<\/th>\n<\/tr>\n
  NVLink 4<\/td>\n	25 GB\/s<\/td>\n	450 GB\/s<\/td>\n<\/tr>\n
  NVLink 5<\/td>\n	50 GB\/s<\/td>\n	900 GB\/s<\/td>\n<\/tr>\n
  PCIe Gen5<\/td>\n	32 GB\/s<\/td>\n	64 GB\/s<\/td>\n<\/tr>\n
  PCIe Gen6<\/td>\n	64 GB\/s<\/td>\n	128 GB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n GPU\u670d\u52a1\u5668\u786c\u4ef6\u7684\u9ad8\u5185\u5b58\u5e26\u5bbd\u4e5f\u5f88\u91cd\u8981\u3002A100 GPU\u63d0\u4f9b\u9ad8\u8fbe2.0 TB\/s\u7684\u5185\u5b58\u5e26\u5bbd\u3002\u8fd9\u652f\u6301\u5927\u578b\u6570\u636e\u96c6\u548c\u590d\u6742\u8ba1\u7b97\u3002\u5982\u679c\u5185\u5b58\u5e26\u5bbd\u592a\u4f4e,\u60a8\u7684GPU\u5c06\u7b49\u5f85\u6570\u636e\u800c\u65e0\u6cd5\u5168\u901f\u5de5\u4f5c\u3002\u5728\u6784\u5efa\u96c6\u7fa4\u65f6,\u60a8\u5e94\u8be5\u59cb\u7ec8\u68c0\u67e5\u5e26\u5bbd\u89c4\u683c\u3002<\/p>\n \u63d0\u793a: \u4f7f\u7528NVLink\u548cPCIe Gen4\/Gen5\u8fde\u63a5\u60a8\u7684GPU\u3002\u8fd9\u79cd\u8bbe\u7f6e\u6709\u52a9\u4e8e\u60a8\u7684AI\u57fa\u7840\u8bbe\u65bd\u4e3a\u6df1\u5ea6\u5b66\u4e60\u548c\u5176\u4ed6\u9ad8\u7ea7\u5de5\u4f5c\u8d1f\u8f7d\u63d0\u4f9b\u6700\u4f73\u6027\u80fd\u3002<\/p><\/blockquote>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”blog-detail-section”][vc_column][vc_column_text css=””]<\/p>\n \u8f6f\u4ef6\u548cAI\u6846\u67b6<\/strong><\/h2>\n A100 GPU\u7684NVIDIA\u9a71\u52a8\u7a0b\u5e8f\u548cCUDA<\/h3>\n \u60a8\u5fc5\u987b\u5b89\u88c5\u6700\u65b0\u7684NVIDIA\u9a71\u52a8\u7a0b\u5e8f\u548cCUDA\u5de5\u5177\u5305\u624d\u80fd\u91ca\u653eA100 GPU\u7684\u5168\u90e8\u529f\u80fd\u3002\u8fd9\u4e9b\u66f4\u65b0\u786e\u4fdd\u60a8\u7684\u670d\u52a1\u5668\u7684\u517c\u5bb9\u6027\u548c\u7a33\u5b9a\u6027\u3002\u5728\u5f00\u59cb\u4efb\u4f55AI\u8bad\u7ec3\u548c\u63a8\u7406\u4efb\u52a1\u4e4b\u524d,\u60a8\u5e94\u8be5\u59cb\u7ec8\u68c0\u67e5\u63a8\u8350\u7684\u7248\u672c\u3002\u4e0b\u8868\u663e\u793a\u4e86\u6bcf\u4e2aCUDA\u5de5\u5177\u5305\u53d1\u5e03\u7248\u672c\u7684\u6700\u4f4e\u9a71\u52a8\u7a0b\u5e8f\u7248\u672c\u3002\u8fd9\u6709\u52a9\u4e8e\u60a8\u907f\u514d\u5e38\u89c1\u7684\u517c\u5bb9\u6027\u95ee\u9898\u5e76\u4fdd\u6301\u96c6\u7fa4\u5e73\u7a33\u8fd0\u884c\u3002<\/p>\n \n\n\n\n<\/colgroup>\n\n\n\n\n\n CUDA\u5de5\u5177\u5305\u7248\u672c<\/th>\n \u6700\u4f4e\u9a71\u52a8\u7a0b\u5e8f\u7248\u672c<\/th>\n<\/tr>\n CUDA 13.1 Update 1<\/td>\n >=590.48.01<\/td>\n<\/tr>\n CUDA 13.1 GA<\/td>\n >=590.44.01<\/td>\n<\/tr>\n CUDA 13.0 GA<\/td>\n >=580.65.06<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u63d0\u793a: \u5b9a\u671f\u66f4\u65b0\u9a71\u52a8\u7a0b\u5e8f\u548cCUDA\u5de5\u5177\u5305\u3002\u8fd9\u79cd\u505a\u6cd5\u53ef\u4ee5\u9632\u6b62\u74f6\u9888\u5e76\u63d0\u9ad8AI\u548c\u6df1\u5ea6\u5b66\u4e60\u5de5\u4f5c\u8d1f\u8f7d\u7684\u6027\u80fd\u3002<\/p><\/blockquote>\n \u5f53\u60a8\u4f7f\u7528\u6700\u65b0\u7684CUDA\u5de5\u5177\u5305\u548cNVIDIA A100\u65f6,\u60a8\u53ef\u4ee5\u83b7\u5f97\u4ee5\u4e0b\u4f18\u52bf:<\/p>\n \n \u5e76\u884c\u5904\u7406: A100 GPU\u53ef\u4ee5\u540c\u65f6\u6267\u884c\u6570\u5343\u4e2a\u77e9\u9635\u8fd0\u7b97\u3002\u8fd9\u6bd4CPU\u8ba1\u7b97\u901f\u5ea6\u66f4\u5feb\u3002<\/li>\n \u9ad8\u541e\u5410\u91cf: \u60a8\u53ef\u4ee5\u5feb\u901f\u5904\u7406\u5927\u6279\u91cf\u6570\u636e\u3002\u8fd9\u5c06\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u65f6\u95f4\u4ece\u6570\u5929\u7f29\u77ed\u5230\u6570\u5c0f\u65f6\u3002<\/li>\n \u5927\u89c4\u6a21\u795e\u7ecf\u7f51\u7edc: NVIDIA A100\u901a\u8fc7\u5728\u591a\u4e2a\u6838\u5fc3\u4e4b\u95f4\u5206\u914d\u5de5\u4f5c\u8d1f\u8f7d,\u5e2e\u52a9\u60a8\u8bad\u7ec3Transformers\u7b49\u590d\u6742\u6a21\u578b\u3002<\/li>\n<\/ul>\n AI\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6<\/h3>\n \u60a8\u9700\u8981\u4f18\u5316\u7684\u6846\u67b6\u624d\u80fd\u5145\u5206\u5229\u7528\u9ad8\u6027\u80fdGPU\u3002PyTorch\u548cTensorFlow\u662fAI\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u6700\u4f73\u9009\u62e9\u3002\u8fd9\u4e9b\u6846\u67b6\u63d0\u4f9b\u4e0eA100 GPU\u7684\u5f3a\u5927\u96c6\u6210,\u5e76\u652f\u6301\u5b9e\u65f6\u63a8\u7406\u548c\u90e8\u7f72\u7684\u9ad8\u7ea7\u529f\u80fd\u3002\u4e0b\u8868\u7a81\u51fa\u663e\u793a\u4e86\u5b83\u4eec\u7684\u4e3b\u8981\u4f18\u52bf\u3002<\/p>\n \n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n \u6846\u67b6<\/th>\n \u4e3b\u8981\u7279\u6027\u548c\u4f18\u52bf<\/th>\n<\/tr>\n PyTorch<\/td>\n – \u5177\u6709GPU\u52a0\u901f\u7684\u5f20\u91cf\u8ba1\u7b97\u3002<\/td>\n<\/tr>\n <\/td>\n – \u7528\u4e8e\u66f4\u8f7b\u677e\u8c03\u8bd5\u548c\u5b9e\u9a8c\u7684\u52a8\u6001\u8ba1\u7b97\u56fe\u3002<\/td>\n<\/tr>\n <\/td>\n – \u7528\u4e8e\u5feb\u901f\u539f\u578b\u8bbe\u8ba1\u7684Python\u98ce\u683cAPI\u3002<\/td>\n<\/tr>\n <\/td>\n – \u5f3a\u5927\u7684GPU\u96c6\u6210\u4ee5\u6700\u5927\u5316\u6027\u80fd\u3002<\/td>\n<\/tr>\n <\/td>\n – \u4f7f\u7528Torch-TensorRT\u548cONNX\u7684\u73b0\u4ee3\u90e8\u7f72\u9009\u9879\u3002<\/td>\n<\/tr>\n TensorFlow<\/td>\n – \u9ed8\u8ba4\u542f\u7528\u5373\u65f6\u6267\u884c\u4ee5\u6784\u5efa\u52a8\u6001\u56fe\u3002<\/td>\n<\/tr>\n <\/td>\n – \u5e7f\u6cdb\u7684\u793e\u533a\u652f\u6301\u548c\u5404\u79cd\u5e94\u7528\u7684\u5e93\u3002<\/td>\n<\/tr>\n <\/td>\n – \u901a\u8fc7TensorRT\u96c6\u6210\u4f18\u5316\u7684\u9ad8\u6027\u80fd\u63a8\u7406\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u60a8\u5e94\u8be5\u9009\u62e9\u7b26\u5408\u60a8\u5de5\u4f5c\u6d41\u7a0b\u548c\u90e8\u7f72\u9700\u6c42\u7684\u6846\u67b6\u3002PyTorch\u9002\u7528\u4e8e\u7814\u7a76\u548c\u5feb\u901f\u539f\u578b\u8bbe\u8ba1\u3002TensorFlow\u4e3a\u751f\u4ea7\u73af\u5883\u548c\u5927\u89c4\u6a21AI\u57fa\u7840\u8bbe\u65bd\u63d0\u4f9b\u5f3a\u5927\u652f\u6301\u3002<\/p>\n \u4f7f\u7528NCCL\u5b9e\u73b0\u591aGPU\u901a\u4fe1<\/h3>\n \u9ad8\u6548\u7684\u591aGPU\u901a\u4fe1\u5bf9\u4e8e\u6269\u5c55GPU\u4e91\u5e73\u53f0\u81f3\u5173\u91cd\u8981\u3002NCCL (NVIDIA\u96c6\u4f53\u901a\u4fe1\u5e93) \u4f18\u5316\u4e86\u96c6\u7fa4\u4e2dGPU\u4e4b\u95f4\u7684\u6570\u636e\u4f20\u8f93\u3002\u5b83\u4f7f\u7528\u62d3\u6251\u611f\u77e5\u7b97\u6cd5\u5e76\u62bd\u8c61\u5316\u5e7f\u64ad\u3001\u5f52\u7ea6\u548c\u5168\u5f52\u7ea6\u7b49\u901a\u4fe1\u539f\u8bed\u3002\u4e0b\u8868\u663e\u793a\u4e86NCCL\u548cInfiniBand\u5982\u4f55\u534f\u540c\u5de5\u4f5c\u4ee5\u63d0\u5347\u6027\u80fd\u3002<\/p>\n \n\n\n\n<\/colgroup>\n\n\n\n\n \u7ec4\u4ef6<\/th>\n \u63cf\u8ff0<\/th>\n<\/tr>\n InfiniBand<\/td>\n \u7528\u4e8eHPC\u7684\u4f4e\u5ef6\u8fdf\u3001\u9ad8\u5e26\u5bbd\u4e92\u8fde<\/td>\n<\/tr>\n NCCL<\/td>\n \u901a\u8fc7\u62d3\u6251\u611f\u77e5\u4f18\u5316\u62bd\u8c61\u5316\u901a\u4fe1\u539f\u8bed(\u5e7f\u64ad\u3001\u5f52\u7ea6\u3001\u5168\u5f52\u7ea6\u7b49)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n NCCL\u5bf9\u6bcf\u4e2a\u64cd\u4f5c\u5f3a\u5236\u6267\u884c\u53cc\u5411\u540c\u6b65\u3002\u8fd9\u786e\u4fdd\u53d1\u9001\u65b9\u548c\u63a5\u6536\u65b9\u5728\u6570\u636e\u4f20\u8f93\u4e4b\u524d\u90fd\u5df2\u51c6\u5907\u5c31\u7eea\u3002\u5b83\u901a\u8fc7\u4f7f\u7528\u5c0f\u578b\u9884\u5206\u914d\u7684\u4e2d\u95f4\u7f13\u51b2\u533a\u6765\u51cf\u5c11\u5bf9\u7b49\u5185\u5b58\u4ea4\u6362\u5f00\u9500\u3002\u8fd9\u6709\u52a9\u4e8e\u60a8\u9ad8\u6548\u7ba1\u7406\u901a\u4fe1\u901a\u9053\u3002<\/p>\n \u8981\u57288\u4e2aA100 GPU\u7cfb\u7edf\u4e2d\u6700\u5927\u5316\u541e\u5410\u91cf,\u8bf7\u9075\u5faa\u8fd9\u4e9b\u6700\u4f73\u5b9e\u8df5:<\/p>\n \n \u8bbe\u7f6e\u73af\u5883\u53d8\u91cf,\u5982 NCCL_IB_AR_THRESHOLD=0<\/code>\u4ee5\u4f18\u5316\u6d88\u606f\u5927\u5c0f\u5904\u7406\u3002<\/li>\n \u5728\u5b9e\u9a8c\u671f\u95f4\u4f7f\u7528 NCCL_TOPO=ring<\/code>\u6216 tree<\/code>\u8fdb\u884c\u62d3\u6251\u8bbe\u7f6e\u3002<\/li>\n \u5982\u679c\u9047\u5230NCCL\u9519\u8bef12,\u5c06 NCCL_IB_TIMEOUT<\/code>\u589e\u52a0\u523018\u3002<\/li>\n \u786e\u4fdd\u4f7f\u7528NCCL\u7248\u672c2.9.9\u6216\u66f4\u9ad8\u7248\u672c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u6027\u80fd\u3002<\/li>\n \u4f7f\u7528RDMA SHARP\u63d2\u4ef6\u4ee5\u663e\u8457\u63d0\u5347\u6027\u80fd\u3002<\/li>\n \u4f7f\u7528SLURM\u6216MPI\u8bbe\u7f6e\u6b63\u786e\u5730\u5c06GPU\u8fdb\u7a0b\u6620\u5c04\u5230NUMA\u57df\u3002<\/li>\n<\/ul>\n \u6ce8\u610f: \u6b63\u786e\u7684NCCL\u914d\u7f6e\u6709\u52a9\u4e8e\u60a8\u5728\u9ad8\u6027\u80fdGPU\u96c6\u7fa4\u4e2d\u5b9e\u73b0\u6700\u5927\u541e\u5410\u91cf\u548c\u7a33\u5b9a\u6027\u3002<\/p><\/blockquote>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”blog-detail-section”][vc_column][vc_column_text css=””]<\/p>\n \u9ad8\u6027\u80fdGPU\u670d\u52a1\u5668\u7684\u7f51\u7edc\u548c\u5b58\u50a8<\/strong><\/h2>\n \u9ad8\u901f\u7f51\u7edc(InfiniBand, 100GbE)<\/h3>\n \u60a8\u9700\u8981\u5feb\u901f\u7f51\u7edc\u624d\u80fd\u4f7f\u9ad8\u6027\u80fdGPU\u4fdd\u6301\u5168\u901f\u8fd0\u884c\u3002\u5f53\u60a8\u5728\u670d\u52a1\u5668\u6216\u96c6\u7fa4\u4e2d\u8fde\u63a5\u591a\u4e2aA100 GPU\u65f6,\u7f51\u7edc\u901f\u5ea6\u548c\u5ef6\u8fdf\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002InfiniBand\u548c100GbE\u662f\u8fd9\u4e9b\u73af\u5883\u7684\u6700\u4f73\u9009\u62e9\u3002<\/p>\n \n InfiniBand\u5728\u76f8\u540c\u7f51\u7edc\u901f\u5ea6\u4e0b\u6bd4RoCEv2\u63d0\u4f9b\u8d85\u8fc720%\u7684\u6027\u80fd\u63d0\u5347\u3002<\/li>\n \u73b0\u4ee3InfiniBand(\u5982NDR)\u6bcf\u7aef\u53e3\u53ef\u8fbe\u5230400 Gbps,\u5ef6\u8fdf\u4f4e\u4e8e\u5fae\u79d2\u7ea7\u3002\u8fd9\u4f7f\u5176\u6210\u4e3aAI\u5de5\u4f5c\u8d1f\u8f7d\u7684\u6700\u5feb\u9009\u62e9\u4e4b\u4e00\u3002<\/li>\n InfiniBand\u5b9e\u73b0\u4e9a\u5fae\u79d2\u7ea7\u5ef6\u8fdf,\u8fd9\u5bf9\u4e8e\u8bad\u7ec3\u5927\u578b\u6570\u636e\u96c6\u81f3\u5173\u91cd\u8981\u3002\u76f8\u6bd4\u4e4b\u4e0b,100GbE\u7684\u5ef6\u8fdf\u7ea6\u4e3a1-2\u5fae\u79d2,\u4e14\u534f\u8bae\u5f00\u9500\u66f4\u5927\u3002<\/li>\n InfiniBand\u548c100GbE\u90fd\u53ef\u4ee5\u8fbe\u5230400 Gbps,\u4f46InfiniBand\u7684RDMA\u6280\u672f\u4e3a\u60a8\u63d0\u4f9b\u66f4\u4e00\u81f4\u7684\u6027\u80fd\u3002<\/li>\n InfiniBand\u63d0\u4f9b\u6bd4\u4ee5\u592a\u7f51\u66f4\u9ad8\u7684\u5e26\u5bbd,\u8fd9\u5bf9\u6570\u636e\u5bc6\u96c6\u578b\u4efb\u52a1\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<\/ul>\n \u4e3a\u83b7\u5f97\u6700\u4f73\u7ed3\u679c,\u60a8\u5e94\u8be5\u4f7f\u7528\u81f3\u5c11200Gbps\u7684\u7f51\u7edc\u3002\u8fd9\u786e\u4fdd\u60a8\u7684GPU\u4e91\u5e73\u53f0\u80fd\u591f\u5904\u7406\u5b9e\u65f6\u63a8\u7406\u548c\u5927\u89c4\u6a21\u8bad\u7ec3\u7684\u9700\u6c42\u3002<\/p>\n \u63d0\u793a: \u867d\u7136InfiniBand\u6bd4RoCE\u6210\u672c\u66f4\u9ad8,\u4f46\u5b83\u63d0\u4f9b\u66f4\u597d\u7684\u6027\u80fd\u548c\u66f4\u4f4e\u7684\u5ef6\u8fdf,\u8fd9\u53ef\u80fd\u5bf9\u60a8\u7684AI\u9879\u76ee\u4ea7\u751f\u91cd\u5927\u5f71\u54cd\u3002<\/p><\/blockquote>\n \u5b58\u50a8\u541e\u5410\u91cf\u548c\u6570\u636e\u8bbf\u95ee<\/h3>\n \u60a8\u7684\u5b58\u50a8\u7cfb\u7edf\u5fc5\u987b\u8ddf\u4e0a\u786c\u4ef6\u7684\u901f\u5ea6\u3002\u9ad8\u6027\u80fd\u5b58\u50a8\u5bf9\u4e8e8\u4e2aA100 GPU\u7684AI\u5de5\u4f5c\u8d1f\u8f7d\u6765\u8bf4\u81f3\u5173\u91cd\u8981\u3002\u5982\u679c\u60a8\u7684\u5b58\u50a8\u65e0\u6cd5\u8db3\u591f\u5feb\u5730\u4f20\u8f93\u6570\u636e,\u60a8\u7684GPU\u5c06\u95f2\u7f6e\u5e76\u6d6a\u8d39\u80fd\u6e90\u3002<\/p>\n \n \u50cfCoreWeave\u8fd9\u6837\u7684\u5206\u5e03\u5f0f\u6587\u4ef6\u5b58\u50a8\u89e3\u51b3\u65b9\u6848\u53ef\u4ee5\u4e3a\u6bcf\u4e2aGPU\u63d0\u4f9b\u7ea61 GiB\/s\u7684\u541e\u5410\u91cf\u3002\u8fd9\u79cd\u541e\u5410\u91cf\u6c34\u5e73\u6709\u52a9\u4e8e\u60a8\u5728\u591a\u4e2aGPU\u4e0a\u6269\u5c55AI\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/li>\n \u4f18\u5316I\/O\u81f3\u5173\u91cd\u8981\u3002\u7f13\u6162\u7684\u6570\u636e\u52a0\u8f7d\u53ef\u80fd\u4f1a\u9020\u6210\u74f6\u9888\u5e76\u964d\u4f4e\u670d\u52a1\u5668\u7684\u6548\u7387\u3002<\/li>\n \u5e76\u884c\u6570\u636e\u52a0\u8f7d\u548c\u7f13\u5b58\u7b56\u7565\u6709\u52a9\u4e8e\u5728\u8bad\u7ec3\u671f\u95f4\u4fdd\u6301\u9ad8\u541e\u5410\u91cf\u3002<\/li>\n \u968f\u7740AI\u9700\u6c42\u7684\u589e\u957f,\u60a8\u9700\u8981\u66f4\u5feb\u7684\u6570\u636e\u68c0\u7d22\u6765\u6700\u5927\u5316GPU\u5229\u7528\u7387\u3002<\/li>\n<\/ul>\n \u60a8\u5e94\u8be5\u59cb\u7ec8\u5c06\u5b58\u50a8\u541e\u5410\u91cf\u4e0e\u96c6\u7fa4\u7684\u9700\u6c42\u76f8\u5339\u914d\u3002\u5feb\u901f\u5b58\u50a8\u548c\u667a\u80fd\u6570\u636e\u8bbf\u95ee\u7b56\u7565\u5e2e\u52a9\u60a8\u5145\u5206\u5229\u7528\u9ad8\u6027\u80fdGPU\u8bbe\u7f6e\u3002<\/p>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”blog-detail-section”][vc_column][vc_column_text css=””]<\/p>\n \u8d44\u6e90\u7ba1\u7406\u548c\u8c03\u5ea6<\/strong><\/h2>\n \u4f7f\u7528SLURM\u6216Kubernetes\u8fdb\u884cGPU\u5206\u914d<\/h3>\n \u60a8\u9700\u8981\u667a\u80fd\u5de5\u5177\u6765\u7ba1\u7406\u591aGPU\u73af\u5883\u4e2d\u7684GPU\u5206\u914d\u3002SLURM\u548cKubernetes\u662f\u8c03\u5ea6\u548c\u8d44\u6e90\u63a7\u5236\u7684\u6700\u4f73\u9009\u62e9\u3002SLURM\u8ba9\u60a8\u5bf9\u786c\u4ef6\u8d44\u6e90\u8fdb\u884c\u6df1\u5ea6\u63a7\u5236,\u5e76\u4f7f\u7528\u4e13\u4e3a\u9ad8\u6027\u80fd\u8ba1\u7b97\u8bbe\u8ba1\u7684\u667a\u80fd\u8c03\u5ea6\u5668\u3002Kubernetes\u652f\u6301\u9759\u6001\u548c\u81ea\u52a8\u6269\u5c55\u8282\u70b9\u6c60,\u8fd9\u6709\u52a9\u4e8e\u60a8\u5904\u7406\u4e0d\u65ad\u53d8\u5316\u7684\u5de5\u4f5c\u8d1f\u8f7d\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u7ec6\u7c92\u5ea6\u914d\u989d\u5728\u4e0d\u540c\u56e2\u961f\u4e4b\u95f4\u5171\u4eab\u8d44\u6e90\u3002\u4e24\u4e2a\u5e73\u53f0\u90fd\u63d0\u4f9b\u5f3a\u5927\u7684\u5de5\u4f5c\u8d1f\u8f7d\u9694\u79bb,\u56e0\u6b64\u60a8\u53ef\u4ee5\u907f\u514d\u5608\u6742\u7684\u90bb\u5c45\u5e76\u4fdd\u6301\u4f5c\u4e1a\u5e73\u7a33\u8fd0\u884c\u3002<\/p>\n \n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n \u529f\u80fd<\/th>\n SLURM\u4f18\u52bf<\/th>\n Kubernetes\u4f18\u52bf<\/th>\n<\/tr>\n \u8c03\u5ea6<\/td>\n \u4e3aHPC\u4f18\u5316\u7684\u667a\u80fd\u9ad8\u6548\u8c03\u5ea6\u5668<\/td>\n \u652f\u6301\u9759\u6001\u914d\u7f6e\u548c\u81ea\u52a8\u6269\u5c55\u8282\u70b9\u6c60<\/td>\n<\/tr>\n \u8d44\u6e90\u63a7\u5236<\/td>\n \u5bf9\u786c\u4ef6\u8d44\u6e90\u7684\u6df1\u5ea6\u63a7\u5236,\u5305\u62ecGPU\u5206\u7247<\/td>\n \u591a\u56e2\u961f\u5de5\u4f5c\u8d1f\u8f7d\u7684\u7ec6\u7c92\u5ea6\u914d\u989d<\/td>\n<\/tr>\n \u53ef\u6269\u5c55\u6027<\/td>\n \u901a\u8fc7\u5404\u79cd\u63d2\u4ef6\u9ad8\u5ea6\u53ef\u6269\u5c55<\/td>\n \u4e0eCI\/CD\u548c\u53ef\u89c2\u5bdf\u6027\u7684\u5e7f\u6cdb\u751f\u6001\u7cfb\u7edf\u96c6\u6210<\/td>\n<\/tr>\n \u5de5\u4f5c\u8d1f\u8f7d\u9694\u79bb<\/td>\n \u5f3a\u5927\u7684\u5de5\u4f5c\u8d1f\u8f7d\u9694\u79bb,\u65e0\u5608\u6742\u90bb\u5c45\u98ce\u9669<\/td>\n \u7075\u6d3b\u8fd0\u884c\u63a8\u7406\u670d\u52a1\u548c\u8bad\u7ec3\u5de5\u4f5c\u8d1f\u8f7d<\/td>\n<\/tr>\n \u53ef\u91cd\u73b0\u6027<\/td>\n \u4e0d\u9002\u7528<\/td>\n \u8de8\u73af\u5883\u7684\u5bb9\u5668\u539f\u751f\u53ef\u91cd\u73b0\u6027<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u60a8\u53ef\u4ee5\u4f7f\u7528SLURM\u7ba1\u7406\u4f20\u7edfHPC\u96c6\u7fa4,\u6216\u9009\u62e9Kubernetes\u6784\u5efa\u73b0\u4ee3GPU\u4e91\u5e73\u53f0\u3002Kubernetes\u8fd8\u652f\u6301\u52a8\u6001\u8d44\u6e90\u6269\u5c55,\u8ba9\u60a8\u53ef\u4ee5\u6839\u636e\u5de5\u4f5c\u8d1f\u8f7d\u7684\u589e\u957f\u6216\u51cf\u5c11\u6765\u8c03\u6574\u8d44\u6e90\u3002<\/p>\n \u5de5\u4f5c\u8d1f\u8f7d\u76d1\u63a7\u548c\u5e73\u8861<\/h3>\n \u60a8\u5fc5\u987b\u76d1\u63a7\u548c\u5e73\u8861\u5de5\u4f5c\u8d1f\u8f7d\u4ee5\u4fdd\u6301GPU\u96c6\u7fa4\u7684\u6548\u7387\u3002\u5b9e\u65f6\u76d1\u63a7\u5de5\u5177\u5e2e\u52a9\u60a8\u8ddf\u8e2a\u6307\u6807\u3001\u65e5\u5fd7\u548cGPU\u4f7f\u7528\u60c5\u51b5\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528Kubernetes\u6279\u5904\u7406\u64cd\u4f5c\u5668\u6216Slurm\u96c6\u6210\u7b49\u7f16\u6392\u5de5\u5177\u6765\u7ba1\u7406\u4f5c\u4e1a\u961f\u5217\u548c\u81ea\u52a8\u6269\u5c55\u3002Prometheus\u548cGrafana\u7b49\u53ef\u89c2\u5bdf\u6027\u5e73\u53f0\u4e3a\u60a8\u63d0\u4f9b\u6307\u6807\u548c\u6210\u672c\u89c6\u56fe\u7684\u4eea\u8868\u677f\u3002NVIDIA GPU Operator\u548c\u8bbe\u5907\u63d2\u4ef6\u7b49GPU\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u5e2e\u52a9\u60a8\u62a5\u544a\u5229\u7528\u7387\u548c\u5206\u533a\u8d44\u6e90\u3002\u5b58\u50a8\u548c\u7f51\u7edc\u5de5\u5177\u786e\u4fdd\u5feb\u901f\u6570\u636e\u8bbf\u95ee\u548c\u9ad8\u541e\u5410\u91cf\u3002<\/p>\n \n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n AI\u5de5\u4f5c\u8d1f\u8f7d\u7ba1\u7406\u5de5\u5177\u7c7b\u522b<\/th>\n \u4e3b\u8981\u529f\u80fd<\/th>\n AI\u5de5\u4f5c\u8d1f\u8f7d\u89e3\u51b3\u65b9\u6848\u793a\u4f8b<\/th>\n<\/tr>\n \u7f16\u6392<\/td>\n \u591a\u96c6\u7fa4\u8c03\u5ea6\u3001\u4f5c\u4e1a\u961f\u5217\u3001\u81ea\u52a8\u6269\u5c55\u3001\u7b56\u7565\u3001GPU\u611f\u77e5<\/td>\n Kubernetes\u6279\u5904\u7406\u64cd\u4f5c\u5668\u3001Slurm\u96c6\u6210\u3001KubeRay<\/td>\n<\/tr>\n \u53ef\u89c2\u5bdf\u6027<\/td>\n \u6307\u6807\u3001\u8ffd\u8e2a\u3001\u65e5\u5fd7\u3001GPU\u9065\u6d4b\u3001\u6210\u672c\u89c6\u56fe<\/td>\n Prometheus\u3001OpenTelemetry\u3001Grafana\u3001\u6a21\u578b\u670d\u52a1\u4eea\u8868\u677f<\/td>\n<\/tr>\n GPU\u7ba1\u7406<\/td>\n \u6c60\u5316\u3001MIG\u5206\u533a\u3001\u914d\u989d\u3001\u5229\u7528\u7387\u62a5\u544a<\/td>\n NVIDIA GPU Operator\u3001\u8bbe\u5907\u63d2\u4ef6\u3001\u62d3\u6251\u611f\u77e5\u8c03\u5ea6\u5668<\/td>\n<\/tr>\n \u5b58\u50a8\u548c\u7f51\u7edc<\/td>\n \u9ad8\u541e\u5410\u91cf\u5bf9\u8c61\/NVMe\u3001\u5411\u91cf\u5b58\u50a8\u3001RDMA\/InfiniBand<\/td>\n S3\u517c\u5bb9\u5bf9\u8c61\u5b58\u50a8\u3001CSI\u9a71\u52a8\u7a0b\u5e8f\u3001100-400G\u7f51\u7edc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u63d0\u793a: \u8bbe\u7f6eGPU\u4f7f\u7528\u548c\u4f5c\u4e1a\u5931\u8d25\u7684\u8b66\u62a5\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u4f5c\u4e1a\u4f18\u5148\u7ea7\u548c\u4f7f\u7528\u81ea\u52a8\u6269\u5c55\u529f\u80fd\u6765\u5e73\u8861\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p><\/blockquote>\n \u5f53\u60a8\u5c06\u667a\u80fd\u8c03\u5ea6\u4e0e\u5f3a\u5927\u7684\u76d1\u63a7\u5de5\u5177\u76f8\u7ed3\u5408\u65f6,\u53ef\u4ee5\u4fdd\u6301\u96c6\u7fa4\u7684\u5cf0\u503c\u6027\u80fd\u3002<\/p>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”blog-detail-section”][vc_column][vc_column_text css=””]<\/p>\n \u65e5\u672c\u7279\u5b9a\u7684\u90e8\u7f72\u56e0\u7d20<\/strong><\/h2>\n \u672c\u5730\u6570\u636e\u4e2d\u5fc3\u548c\u5ef6\u8fdf<\/h3>\n \u5728\u65e5\u672c\u90e8\u7f728\u4e2aA100 GPU\u65f6,\u60a8\u5e94\u8be5\u8003\u8651\u6570\u636e\u4e2d\u5fc3\u7684\u4f4d\u7f6e\u3002\u5728AI\u63a8\u7406\u4e2d,\u4e0e\u7528\u6237\u7684\u8ddd\u79bb\u8d77\u7740\u91cd\u8981\u4f5c\u7528\u3002\u5982\u679c\u60a8\u7684\u6570\u636e\u4e2d\u5fc3\u9760\u8fd1\u7528\u6237,\u60a8\u53ef\u4ee5\u51cf\u5c11\u5ef6\u8fdf\u3002\u8fd9\u610f\u5473\u7740\u60a8\u7684AI\u5e94\u7528\u7a0b\u5e8f\u54cd\u5e94\u66f4\u5feb,\u4ece\u800c\u63d0\u5347\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n \n \u5c06\u670d\u52a1\u5668\u653e\u5728\u4e1c\u4eac\u6216\u5927\u962a\u7b49\u4e3b\u8981\u57ce\u5e02\u9644\u8fd1\u53ef\u4ee5\u5e2e\u52a9\u60a8\u4ee5\u66f4\u4f4e\u7684\u5ef6\u8fdf\u63a5\u89e6\u66f4\u591a\u7528\u6237\u3002<\/li>\n AI\u63a8\u7406\u4efb\u52a1\u9700\u8981\u4f4e\u5ef6\u8fdf\u624d\u80fd\u83b7\u5f97\u5b9e\u65f6\u7ed3\u679c\u3002\u5f53\u6570\u636e\u4e2d\u5fc3\u9760\u8fd1\u5ba2\u6237\u65f6,\u60a8\u4f1a\u83b7\u5f97\u66f4\u597d\u7684\u6027\u80fd\u3002<\/li>\n AI\u8bad\u7ec3\u5e76\u4e0d\u603b\u662f\u9700\u8981\u4f4e\u5ef6\u8fdf\u3002\u5982\u679c\u60a8\u6709\u8db3\u591f\u7684\u5e26\u5bbd,\u53ef\u4ee5\u5728\u8fdc\u7a0b\u6570\u636e\u4e2d\u5fc3\u8fd0\u884c\u8bad\u7ec3\u4f5c\u4e1a\u3002<\/li>\n<\/ul>\n \u65e5\u672c\u81ea2008\u5e74\u4ee5\u6765\u7684\u7528\u7535\u91cf\u6709\u6240\u4e0b\u964d\u3002\u8fd9\u4e00\u8d8b\u52bf\u8868\u660e,\u60a8\u53ef\u4ee5\u6dfb\u52a0\u66f4\u591a\u6570\u636e\u4e2d\u5fc3\u800c\u4e0d\u4f1a\u5bfc\u81f4\u80fd\u6e90\u9700\u6c42\u5927\u5e45\u589e\u52a0\u3002AI\u8fd8\u53ef\u4ee5\u901a\u8fc7\u63d0\u9ad8\u7cfb\u7edf\u6548\u7387\u6765\u5e2e\u52a9\u51cf\u5c11\u6c14\u5019\u6c61\u67d3\u3002\u5f53\u60a8\u4f7f\u7528AI\u4f18\u5316\u6570\u636e\u4e2d\u5fc3\u7684\u80fd\u6e90\u4f7f\u7528\u65f6,\u60a8\u5c31\u5728\u652f\u6301\u66f4\u73af\u4fdd\u7684\u672a\u6765\u3002<\/p>\n \u7535\u529b\u548c\u6cd5\u89c4\u5408\u89c4\u6027<\/h3>\n \u5728\u65e5\u672c\u90e8\u7f72\u9ad8\u5bc6\u5ea6GPU\u670d\u52a1\u5668\u65f6,\u60a8\u5fc5\u987b\u9075\u5faa\u4e25\u683c\u7684\u89c4\u5219\u3002\u8be5\u56fd\u7684\u76d1\u7ba1\u73af\u5883\u5173\u6ce8\u9053\u5fb7AI\u3001\u6570\u636e\u9690\u79c1\u548c\u7f51\u7edc\u5b89\u5168\u3002AI\u6218\u75652020\u7b49\u56fd\u5bb6\u653f\u7b56\u5f3a\u8c03\u900f\u660e\u5ea6\u3001\u516c\u5e73\u6027\u548c\u95ee\u8d23\u5236\u3002\u60a8\u9700\u8981\u9075\u5b88\u4e0eGDPR\u7b49\u5168\u7403\u6807\u51c6\u4e00\u81f4\u7684\u9690\u79c1\u6cd5\u3002\u8fd9\u4e9b\u6cd5\u5f8b\u4fdd\u62a4\u7528\u6237\u6570\u636e\u5e76\u5efa\u7acb\u4fe1\u4efb\u3002<\/p>\n \n \u65e5\u672c\u5bf9\u6570\u636e\u4e2d\u5fc3\u8bbe\u7f6e\u80fd\u6e90\u6d88\u8017\u9650\u5236\u3002\u60a8\u5e94\u4f7f\u7528\u8282\u80fd\u786c\u4ef6\u548c\u6563\u70ed\u7cfb\u7edf\u6765\u6ee1\u8db3\u8fd9\u4e9b\u6807\u51c6\u3002<\/li>\n \u60a8\u5fc5\u987b\u9075\u5b88\u73af\u5883\u89c4\u5219,\u4ee5\u5e2e\u52a9\u5f00\u53d1\u66f4\u73af\u4fdd\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<\/ul>\n \u65e5\u672c\u8fd8\u5bf9\u5f3a\u5927GPU\u7684\u51fa\u53e3\u7ba1\u5236\u548c\u6027\u80fd\u5bc6\u5ea6\u89c4\u5219\u8fdb\u884c\u76d1\u7ba1\u3002\u4e0b\u8868\u663e\u793a\u4e86\u8fd9\u4e9b\u6cd5\u89c4\u5982\u4f55\u5f71\u54cdA100 GPU\u96c6\u7fa4:<\/p>\n \n\n\n\n\n<\/colgroup>\n\n\n\n\n \u6cd5\u89c4\u7c7b\u578b<\/th>\n \u63cf\u8ff0<\/th>\n \u5bf9A100 GPU\u96c6\u7fa4\u7684\u5f71\u54cd<\/th>\n<\/tr>\n \u51fa\u53e3\u7ba1\u5236<\/td>\n \u5bf9\u5f3a\u5927GPU\u51fa\u53e3\u7684\u4e25\u683c\u9650\u5236<\/td>\n \u9650\u5236\u5728\u65e5\u672c\u7684\u53ef\u7528\u6027\u548c\u8fd0\u8425\u80fd\u529b<\/td>\n<\/tr>\n TPP\u6846\u67b6<\/td>\n \u5982\u679cTPP>4,800\u6216\u6027\u80fd\u5bc6\u5ea6>5.92\u5219\u963b\u6b62\u51fa\u53e3<\/td>\n \u76f4\u63a5\u5f71\u54cd\u5411\u4e2d\u56fd\u7b49\u53d7\u9650\u56fd\u5bb6\u7684\u90e8\u7f72<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n \u6ce8\u610f: \u60a8\u5e94\u8be5\u53ca\u65f6\u4e86\u89e3\u5f53\u5730\u6cd5\u5f8b\u548c\u653f\u7b56\u3002\u8fd9\u6709\u52a9\u4e8e\u60a8\u907f\u514d\u5408\u89c4\u95ee\u9898\u5e76\u786e\u4fddGPU\u96c6\u7fa4\u7684\u987a\u5229\u8fd0\u884c\u3002<\/p><\/blockquote>\n [\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”blog-detail-section”][vc_column][vc_column_text css=””]<\/p>\n \u6027\u80fd\u8c03\u4f18\u548c\u57fa\u51c6\u6d4b\u8bd5<\/strong><\/h2>\n A100 GPU\u5de5\u4f5c\u8d1f\u8f7d\u7684\u6027\u80fd\u5206\u6790\u548c\u57fa\u51c6\u6d4b\u8bd5<\/h3>\n \u60a8\u9700\u8981\u5bf9\u5de5\u4f5c\u8d1f\u8f7d\u8fdb\u884c\u6027\u80fd\u5206\u6790\u548c\u57fa\u51c6\u6d4b\u8bd5,\u4ee5\u4ece8\u4e2aA100 GPU\u83b7\u5f97\u6700\u4f73\u7ed3\u679c\u3002\u6027\u80fd\u5206\u6790\u5e2e\u52a9\u60a8\u627e\u5230\u74f6\u9888\u5e76\u4e86\u89e3\u4ee3\u7801\u5982\u4f55\u4f7f\u7528\u786c\u4ef6\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5de5\u5177\u6765\u4f7f\u8fd9\u4e2a\u8fc7\u7a0b\u66f4\u7b80\u5355\u548c\u51c6\u786e\u3002\u8fd9\u4e9b\u5de5\u5177\u8ba9\u60a8\u80fd\u591f\u8ddf\u8e2a\u6027\u80fd\u3001\u53d1\u73b0\u6162\u901f\u51fd\u6570\u5e76\u7ba1\u7406\u6027\u80fd\u5206\u6790\u4e0a\u4e0b\u6587\u3002<\/p>\n \n\n\n\n<\/colgroup>\n\n\n\n\n\n \u5de5\u5177\u540d\u79f0<\/th>\n \u63cf\u8ff0<\/th>\n<\/tr>\n Profiler<\/td>\n \u7528\u4e8e\u8bbf\u95ee\u6027\u80fd\u5206\u6790\u53e5\u67c4\u548c\u914d\u7f6e\u7684\u6838\u5fc3\u5de5\u5177,\u8bbe\u8ba1\u7b80\u5355\u6613\u7528\u3002<\/td>\n<\/tr>\n profile<\/td>\n \u7528\u4e8e\u6807\u8bb0\u7279\u5b9a\u51fd\u6570\u8fdb\u884c\u6027\u80fd\u5206\u6790\u7684\u51fd\u6570\u88c5\u9970\u5668,\u9002\u7528\u4e8e\u975eCUDA\u652f\u6301\u7684\u64cd\u4f5c\u3002<\/td>\n<\/tr>\n 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Gen4\/Gen5\u63d0\u4f9b\u6570\u636e\u4f20\u8f93\u7684\u9ad8\u5e26\u5bbd\u3002NVLink\u63d0\u4f9b\u6bd4PCIe\u66f4\u9ad8\u7684\u5e26\u5bbd,\u8fd9\u6709\u52a9\u4e8e\u60a8\u7684AI\u548c\u6df1\u5ea6\u5b66\u4e60\u5de5\u4f5c\u8d1f\u8f7d\u8fd0\u884c\u5f97\u66f4\u5feb\u3002NVIDIA A100\u4f7f\u7528NVLink\u76f4\u63a5\u8fde\u63a5GPU,\u51cf\u5c11\u74f6\u9888\u5e76\u63d0\u9ad8\u6548\u7387\u3002 \u6280\u672f \u5355\u5411\u5e26\u5bbd \u603b\u5e26\u5bbd(\u53cc\u5411) NVLink 4 25 GB\/s 450 GB\/s NVLink […]<\/p>\n Read More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":30096,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8117],"tags":[10195,10196,10197,5975,3358],"class_list":["post-30099","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-japan-dedicated-server-sc","tag-a100-gpu","tag-deep-learning-server","tag-machine-learning-hardware","tag-ai-infrastructure-sc","tag-gpu-optimization-sc"],"acf":[],"yoast_head":"\n