{"id":1513,"date":"2024-05-18T15:34:11","date_gmt":"2024-05-18T15:34:11","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1513"},"modified":"2024-05-18T15:34:30","modified_gmt":"2024-05-18T15:34:30","slug":"jiasujisuanweihehuichengwei-ai-shidaidejisuanlixinchong","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/jiasujisuanweihehuichengwei-ai-shidaidejisuanlixinchong.html","title":{"rendered":"\u52a0\u901f\u8ba1\u7b97\uff0c\u4e3a\u4f55\u4f1a\u6210\u4e3a AI 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\u548c\u7f51\u7edc\u6280\u672f\u5c42\u51fa\u4e0d\u7a77\u3002\u4e0b\u9762\u6211\u4eec\u6765\u6df1\u5165\u4e86\u89e3\u4e00\u4e0b\u52a0\u901f\u8ba1\u7b97\uff0c\u5c31\u80fd\u660e\u767d\u4e3a\u4f55\u5b83\u4f1a\u6210\u4e3a AI \u65f6\u4ee3\u7684\u8ba1\u7b97\u529b\u201c\u65b0\u5ba0\u201d\u3002<\/p>\n<h2 data-id=\"heading-0\">\u4ec0\u4e48\u662f\u52a0\u901f\u8ba1\u7b97<\/h2>\n<p>\u52a0\u901f\u8ba1\u7b97\u662f\u6307\u4f7f\u7528\u4e13\u7528\u786c\u4ef6\u6765\u6267\u884c\u67d0\u4e9b\u7c7b\u578b\u7684\u8ba1\u7b97\uff0c\u5176\u6548\u7387\u8981\u6bd4\u4ec5\u4f7f\u7528\u901a\u7528\u4e2d\u592e\u5904\u7406\u5668\uff08CPU\uff09\u9ad8\u3002\u5229\u7528\u56fe\u5f62\u5904\u7406\u5355\u5143\uff08GPU\uff09\u3001\u4e13\u7528\u96c6\u6210\u7535\u8def\uff08ASIC\uff09\uff08\u5305\u62ec\u5f20\u91cf\u5904\u7406\u5355\u5143\uff08TPU\uff09\uff09\u548c\u73b0\u573a\u53ef\u7f16\u7a0b\u903b\u8f91\u95e8\u9635\u5217\uff08FPGA\uff09\u7b49\u8bbe\u5907\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u4ee5\u66f4\u9ad8\u7684\u901f\u5ea6\u6267\u884c\u8ba1\u7b97\uff0c\u4ece\u800c\u52a0\u901f\u8ba1\u7b97\u8fc7\u7a0b\uff0c\u4e00\u822c\u6211\u4eec\u4e5f\u5c06\u8fd9\u4e9b\u8bbe\u5907\u79f0\u4e4b\u4e3a\u52a0\u901f\u5668\u3002<\/p>\n<p>\u8fd9\u4e9b\u52a0\u901f\u5668\u5c24\u5176\u9002\u7528\u4e8e\u53ef\u88ab\u5206\u89e3\u4e3a\u8f83\u5c0f\u5e76\u884c\u4efb\u52a1\u7684\u9879\u76ee\uff0c\u5982\u9ad8\u6027\u80fd\u8ba1\u7b97 (HPC)\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u673a\u5668\u5b66\u4e60\u3001\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u5206\u6790\u3002\u901a\u8fc7\u5c06\u6307\u5b9a\u7c7b\u578b\u7684\u5de5\u4f5c\u5206\u6d3e\u5230\u8fd9\u4e9b\u4e13\u7528\u52a0\u901f\u8ba1\u7b97\u786c\u4ef6\u4e0a\uff0c\u5927\u5927\u63d0\u9ad8\u4e86\u7cfb\u7edf\u7684\u6027\u80fd\u548c\u6548\u7387\u3002<\/p>\n<p>\u52a0\u901f\u8ba1\u7b97\u56e0\u5176\u9ad8\u6548\u5904\u7406\u6d77\u91cf\u6570\u636e\u7684\u80fd\u529b\uff0c\u4ece\u800c\u63a8\u52a8\u4e86\u673a\u5668\u5b66\u4e60\u3001AI\u3001\u5b9e\u65f6\u5206\u6790\u548c\u79d1\u5b66\u7814\u7a76\u7684\u8fdb\u6b65\u3002\u52a0\u901f\u8ba1\u7b97\u5728\u56fe\u5f62\u3001\u6e38\u620f\u3001\u8fb9\u7f18\u8ba1\u7b97\u548c\u4e91\u8ba1\u7b97\u9886\u57df\u7684\u5f71\u54cd\u529b\u4e0e\u65e5\u4ff1\u589e\uff0c\u662f\u6570\u636e\u4e2d\u5fc3\u7b49\u6570\u5b57\u57fa\u7840\u8bbe\u65bd\u7684\u9aa8\u5e72\u529b\u91cf\u3002\u968f\u7740\u5bf9\u66f4\u5f3a\u5927\u5e94\u7528\u548c\u7cfb\u7edf\u7684\u9700\u6c42\u65e5\u76ca\u589e\u957f\uff0c\u4f20\u7edf\u7684 CPU \u65b9\u6cd5\u96be\u4ee5\u4e0e\u52a0\u901f\u8ba1\u7b97\u7ade\u4e89\uff0c\u800c\u52a0\u901f\u8ba1\u7b97\u53ef\u63d0\u4f9b\u66f4\u5feb\u3001\u66f4\u5177\u6210\u672c\u6548\u76ca\u7684\u6027\u80fd\u5347\u7ea7\u3002<\/p>\n<h2 data-id=\"heading-1\">\u52a0\u901f\u8ba1\u7b97\u89e3\u51b3\u65b9\u6848<\/h2>\n<p>\u52a0\u901f\u8ba1\u7b97\u89e3\u51b3\u65b9\u6848\u6d89\u53ca\u786c\u4ef6\u3001\u8f6f\u4ef6\u548c\u7f51\u7edc\u7684\u7ed3\u5408\u3002\u8fd9\u4e9b\u89e3\u51b3\u65b9\u6848\u4e13\u95e8\u7528\u4e8e\u63d0\u9ad8\u590d\u6742\u8ba1\u7b97\u4efb\u52a1\u7684\u901f\u5ea6\u548c\u6548\u7387\u3002<\/p>\n<h3 data-id=\"heading-2\">\u786c\u4ef6<\/h3>\n<p>\u786c\u4ef6\u52a0\u901f\u5668\u662f\u52a0\u901f\u8ba1\u7b97\u7684\u57fa\u7840\uff0c\u8fd9\u4e9b\u52a0\u901f\u5668\u5305\u62ec\u56fe\u5f62\u5904\u7406\u5668 (GPU)\u3001\u4e13\u7528\u96c6\u6210\u7535\u8def (ASIC) \u548c\u73b0\u573a\u53ef\u7f16\u7a0b\u95e8\u9635\u5217 (FPGA)\u3002<\/p>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/b7d59a0fe75c91919ead758c741b4667.png\" alt=\"\u52a0\u901f\u8ba1\u7b97\uff0c\u4e3a\u4f55\u4f1a\u6210\u4e3a AI \u65f6\u4ee3\u7684\u8ba1\u7b97\u529b\u201c\u65b0\u5ba0\u201d\" \/><\/figure>\n<\/p>\n<p><strong>GPU<\/strong><\/p>\n<p>\u56fe\u5f62\u5904\u7406\u5668\uff08GPU\uff09\u5e7f\u6cdb\u7528\u4e8e\u5404\u79cd\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u5176\u4f18\u52bf\u5728\u4e8e\u53ef\u4ee5\u540c\u65f6\u6267\u884c\u8bb8\u591a\u590d\u6742\u7684\u8ba1\u7b97\uff0c\u56e0\u6b64\u975e\u5e38\u9002\u5408\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u548c\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u7b49\u4efb\u52a1\u3002<\/p>\n<p>\u82f1\u4f1f\u8fbe\u516c\u53f8\u6570\u636e\u4e2d\u5fc3\u548c\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\uff08\u673a\u5668\u5b66\u4e60\u3001\u4eba\u5de5\u667a\u80fd\uff09\u7684 GPU \u5e02\u573a\u4e0a\u5904\u4e8e\u9886\u5148\u5730\u4f4d\u3002\u8be5\u516c\u53f8\u7528\u4e8e\u6570\u636e\u4e2d\u5fc3\u7684\u4e3b\u8981 GPU \u67b6\u6784\u5305\u62ec Hopper (H100) \u548c Ampere (A100)\u3002\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0cH100 GPU \u975e\u5e38\u9002\u5408\u52a0\u901f\u6d89\u53ca\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM)\u3001\u6df1\u5ea6\u63a8\u8350\u7cfb\u7edf\u3001\u57fa\u56e0\u5b66\u548c\u590d\u6742\u6570\u5b57\u5b6a\u751f\u7684\u5e94\u7528\u3002<\/p>\n<p>**\u5e94\u7528\u578b\u4e13\u7528\u96c6\u6210\u7535\u8def ASIC\n**\n\u5e94\u7528\u578b\u4e13\u7528\u96c6\u6210\u7535\u8def\uff08ASIC\uff09\u662f\u4e3a\u6267\u884c\u7279\u5b9a\u4efb\u52a1\u800c\u8bbe\u8ba1\u7684\u5b9a\u5236\u82af\u7247\uff0c\u4e0e CPU \u4e0d\u540c\uff0c CPU \u53ef\u5904\u7406\u5404\u79cd\u5e94\u7528\u3002\u7531\u4e8e\u4e13\u7528\u96c6\u6210\u7535\u8def\u662f\u4e3a\u7279\u5b9a\u529f\u80fd\u5b9a\u5236\u7684\uff0c\u56e0\u6b64\u6267\u884c\u4efb\u52a1\u7684\u6548\u7387\u6bd4 CPU \u66f4\u9ad8\uff0c\u5728\u901f\u5ea6\u3001\u529f\u8017\u548c\u6574\u4f53\u6027\u80fd\u65b9\u9762\u90fd\u5177\u6709\u4f18\u52bf\u3002<\/p>\n<p>\u6211\u4eec\u5e38\u5e38\u5728\u79d1\u6280\u6587\u7ae0\u4e2d\u770b\u5230\u7684\u795e\u7ecf\u5904\u7406\u5355\u5143\uff08NPU\uff09\u548c\u6df1\u5ea6\u5b66\u4e60\u5904\u7406\u5668\uff08DLP\uff09\u5c31\u662f ASIC \u4e2d\u7684\u4e00\u5458\uff0c\u8fd8\u6709\u8c37\u6b4c\u7684\u5f20\u91cf\u5904\u7406\u5355\u5143\uff08TPU\uff09\u4e5f\u662f ASIC \u4e0b\u7684\u4e00\u5458\u731b\u5c06\u3002TPU \u4e13\u4e3a\u52a0\u901f\u673a\u5668\u5b66\u4e60\u5de5\u4f5c\u8377\u8f7d\u800c\u8bbe\u8ba1\uff0c\u5b83\u4eec\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8bed\u8a00\u7ffb\u8bd1\u3001\u8c37\u6b4c\u52a9\u624b\u4e2d\u7684\u8bed\u97f3\u8bc6\u522b\u548c\u667a\u80fd\u5316\u5e7f\u544a\u6392\u540d\u7b49\u9879\u76ee\u4e2d\u3002<\/p>\n<p>\u73b0\u573a\u53ef\u7f16\u7a0b\u903b\u8f91\u95e8\u9635\u5217 FPGA<\/p>\n<p>\u73b0\u573a\u53ef\u7f16\u7a0b\u903b\u8f91\u95e8\u9635\u5217\uff08FPGA\uff09\u662f\u4e00\u79cd\u534a\u5bfc\u4f53\u96c6\u6210\u7535\u8def\uff0c\u4e0e CPU \u76f8\u6bd4\uff0cFPGA \u53ef\u91cd\u65b0\u7f16\u7a0b\u4ee5\u4fbf\u80fd\u66f4\u9ad8\u6548\u5730\u6267\u884c\u7279\u5b9a\u4efb\u52a1\u3002\u4e0e ASIC\u3001GPU \u548c CPU \u7684\u56fa\u5b9a\u67b6\u6784\u4e0d\u540c\uff0cFPGA \u786c\u4ef6\u5305\u62ec\u53ef\u914d\u7f6e\u903b\u8f91\u5757\u548c\u53ef\u7f16\u7a0b\u4e92\u8fde\u3002\u8fd9\u6837\uff0c\u5373\u4f7f\u5728\u82af\u7247\u51fa\u5382\u548c\u90e8\u7f72\u540e\uff0c\u4e5f\u53ef\u4ee5\u8fdb\u884c\u529f\u80fd\u66f4\u65b0\u3002<\/p>\n<p>FPGA \u51ed\u501f\u5176\u7075\u6d3b\u6027\u548c\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\uff0c\u5728\u6570\u636e\u4e2d\u5fc3\u7684\u9ad8\u6027\u80fd\u8ba1\u7b97\u3001AI\u3001\u673a\u5668\u5b66\u4e60\u4e2d\u8d8a\u6765\u8d8a\u53d7\u6b22\u8fce\u3002\u4e0d\u8fc7\uff0c\u4e0e GPU \u548c\u5b9a\u5236 ASIC \u89e3\u51b3\u65b9\u6848\u76f8\u6bd4\uff0cFPGA \u7684\u5f00\u53d1\u901f\u5ea6\u8f83\u6162\uff0c\u5176\u8f6f\u4ef6\u751f\u6001\u7cfb\u7edf\u76ee\u524d\u4e5f\u4e0d\u591f\u5065\u5168\uff0c\u7531\u4e8e\u5176\u7f16\u7a0b\u590d\u6742\uff0c\u4e13\u4e1a\u5de5\u7a0b\u5e08\u7684\u6570\u91cf\u4e5f\u5f88\u6709\u9650\u3002<\/p>\n<h3 data-id=\"heading-3\">\u8f6f\u4ef6<\/h3>\n<p>\u52a0\u901f\u8ba1\u7b97\u5229\u7528\u5e94\u7528\u7f16\u7a0b\u63a5\u53e3\uff08API\uff09\u548c\u7f16\u7a0b\u6a21\u578b\uff08\u5982 CUDA \u548c OpenCL\uff09\u6765\u8fde\u63a5\u8f6f\u4ef6\u548c\u786c\u4ef6\u3002\u8fd9\u6837\u53ef\u4ee5\u4f18\u5316\u6570\u636e\u6d41\uff0c\u4ece\u800c\u63d0\u9ad8\u6027\u80fd\u3001\u80fd\u6548\u3001\u6210\u672c\u6548\u76ca\u548c\u51c6\u786e\u6027\u3002\u5f00\u53d1\u4eba\u5458\u901a\u8fc7 API \u548c\u7f16\u7a0b\u6a21\u578b\uff0c\u5c31\u80fd\u591f\u7f16\u5199\u5728 GPU \u4e0a\u8fd0\u884c\u7684\u4ee3\u7801\uff0c\u5e76\u5229\u7528\u8f6f\u4ef6\u7a0b\u5e8f\u5e93\u5b9e\u73b0\u9ad8\u6548\u7b97\u6cd5\u3002<\/p>\n<p><strong>CUDA<\/strong><\/p>\n<p>CUDA\uff08\u5168\u79f0\u4e3a Compute Unified Device Architecture\uff0c\u7edf\u4e00\u8ba1\u7b97\u67b6\u6784\uff09\u662f\u82f1\u4f1f\u8fbe\u516c\u53f8\u5f00\u53d1\u7684\u4e13\u6709\u5e76\u884c\u8ba1\u7b97\u5e73\u53f0\u548c API \u6a21\u578b\uff0c\u901a\u8fc7\u8fd9\u4e2a\u6280\u672f\uff0c\u5f00\u53d1\u8005\u53ef\u5229\u7528\u82f1\u4f1f\u8fbe\u7684 GPU \u8fdb\u884c\u56fe\u50cf\u5904\u7406\u4e4b\u5916\u7684\u8fd0\u7b97\uff0c\u663e\u8457\u52a0\u901f\u8ba1\u7b97\u4efb\u52a1\u3002\u8be5\u5e73\u53f0\u5305\u62ec cuDNN\u3001TensorRT \u548c DeepStream \u7b49\u6df1\u5ea6\u5b66\u4e60\u5e93\uff0c\u53ef\u589e\u5f3a\u4eba\u5de5\u667a\u80fd\u8bad\u7ec3\u548c\u63a8\u7406\u4efb\u52a1\u3002<\/p>\n<p>\u81ea 2006 \u5e74\u63a8\u51fa\u4ee5\u6765\uff0cCUDA \u5df2\u88ab\u4e0b\u8f7d 4000 \u4e07\u6b21\uff0c\u5728\u5168\u7403\u62e5\u6709 400 \u4e07\u5f00\u53d1\u8005\u7528\u6237\u7fa4\uff0c\u5df2\u5f62\u6210\u4e86\u4e00\u4e2a\u5e9e\u5927\u7684\u5f00\u53d1\u8005\u793e\u533a\uff0c\u56e0\u6b64\u82f1\u4f1f\u8fbe\u516c\u53f8\u5728\u6570\u636e\u4e2d\u5fc3\u786c\u4ef6\u548c\u8f6f\u4ef6\u5e02\u573a\u4e0a\u5360\u636e\u4e86\u663e\u8457\u4f18\u52bf\u3002<\/p>\n<p><strong>OpenCL<\/strong><\/p>\n<p>OpenCL\uff08Open Computing Language\uff0c\u5f00\u653e\u8ba1\u7b97\u8bed\u8a00\uff09\u662f\u4e00\u4e2a\u4e3a\u5f02\u6784\u5e73\u53f0\u7f16\u5199\u7a0b\u5e8f\u7684\u6846\u67b6\u3002OpenCL \u7684\u4e00\u4e2a\u7279\u522b\u663e\u8457\u7684\u7279\u70b9\u662f\u5b83\u5728\u4e0d\u540c\u786c\u4ef6\u7c7b\u578b\u4e4b\u95f4\u7684\u53ef\u79fb\u690d\u6027\uff0c\u5e73\u53f0\u53ef\u7531 CPU\u3001GPU\u3001FPGA \u6216\u5176\u4ed6\u7c7b\u578b\u7684\u5904\u7406\u5668\u4e0e\u786c\u4ef6\u52a0\u901f\u5668\u6240\u7ec4\u6210\u3002\u5176\u5e7f\u6cdb\u7684\u517c\u5bb9\u6027\u4f7f\u5f00\u53d1\u4eba\u5458\u80fd\u591f\u5229\u7528\u8fd9\u4e9b\u4e0d\u540c\u786c\u4ef6\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u6765\u8fdb\u884c\u52a0\u901f\u8ba1\u7b97\u3002<\/p>\n<h3 data-id=\"heading-4\">\u7f51\u7edc<\/h3>\n<p>\u7f51\u7edc\u5728\u52a0\u901f\u8ba1\u7b97\u4e2d\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u56e0\u4e3a\u5b83\u6709\u52a9\u4e8e\u6210\u5343\u4e0a\u4e07\u4e2a\u5904\u7406\u5355\u5143\u548c\u5185\u5b58\u4ee5\u53ca\u5b58\u50a8\u8bbe\u5907\u4e4b\u95f4\u7684\u901a\u4fe1\u3002\u5404\u79cd\u7f51\u7edc\u6280\u672f\u88ab\u7528\u6765\u5b9e\u73b0\u8fd9\u4e9b\u8ba1\u7b97\u8bbe\u5907\u4e0e\u7cfb\u7edf\u5176\u4ed6\u8bbe\u5907\u4e4b\u95f4\u7684\u901a\u4fe1\uff0c\u5e76\u5728\u7f51\u7edc\u5185\u7684\u591a\u4e2a\u8bbe\u5907\u4e4b\u95f4\u5171\u4eab\u6570\u636e\u3002\u5e38\u89c1\u7684\u6280\u672f\u6709\uff1a<\/p>\n<ul>\n<li>PCI Express\uff08PCIe\uff09\uff1aPCIe \u662f\u8ba1\u7b97\u673a\u603b\u7ebf\u7684\u4e00\u4e2a\u91cd\u8981\u5206\u652f\uff0c\u5b83\u6cbf\u7528\u65e2\u6709\u7684 PCI \u7f16\u7a0b\u6982\u5ff5\u53ca\u4fe1\u53f7\u6807\u51c6\uff0c\u5e76\u4e14\u6784\u5efa\u4e86\u66f4\u52a0\u9ad8\u901f\u7684\u4e32\u884c\u901a\u4fe1\u7cfb\u7edf\u6807\u51c6\u3002\u8fd9\u4e00\u6807\u51c6\u63d0\u4f9b\u4e86\u8ba1\u7b97\u8bbe\u5907\u4e0e CPU\u3001\u5185\u5b58\u4e4b\u95f4\u7684\u76f4\u63a5\u8fde\u63a5\u3002\u5728\u52a0\u901f\u8ba1\u7b97\u4e2d\uff0cPCIe \u901a\u5e38\u7528\u4e8e\u5c06 GPU \u6216\u5176\u4ed6\u52a0\u901f\u5668\u8fde\u63a5\u5230\u4e3b\u673a\u7cfb\u7edf\u3002<\/li>\n<li>NVLink\uff1a\u82f1\u4f1f\u8fbe\u516c\u53f8\u4e13\u6709\u7684\u9ad8\u5e26\u5bbd\u3001\u9ad8\u80fd\u6548\u4e92\u8fde\u6280\u672f\uff0c\u53ef\u63d0\u4f9b\u6bd4 PCIe \u9ad8\u5f97\u591a\u7684\u5e26\u5bbd\u3002\u8be5\u6280\u672f\u65e8\u5728\u4fc3\u8fdb GPU \u4e4b\u95f4\u4ee5\u53ca GPU \u4e0e CPU \u4e4b\u95f4\u66f4\u9ad8\u6548\u7684\u6570\u636e\u5171\u4eab\u3002<\/li>\n<li>Infinity Fabric\uff1aAMD \u516c\u53f8\u4e13\u6709\u7684\u4e92\u8fde\u6280\u672f\uff0c\u7528\u4e8e\u8fde\u63a5\u5176\u82af\u7247\u4e2d\u7684\u5404\u79cd\u7ec4\u4ef6\uff0c\u5305\u62ec CPU\u3001GPU \u548c\u5185\u5b58\u3002<\/li>\n<li>Compute Express Link (CXL)\uff1aCXL \u662f\u4e00\u79cd\u5f00\u653e\u5f0f\u4e92\u8fde\u6807\u51c6\uff0c\u6709\u52a9\u4e8e\u51cf\u5c11 CPU \u548c\u52a0\u901f\u5668\u4e4b\u95f4\u7684\u5ef6\u8fdf\u540c\u65f6\u589e\u52a0\u5e26\u5bbd\u3002\u5b83\u5c06\u591a\u4e2a\u63a5\u53e3\u5408\u5e76\u4e3a\u4e00\u4e2a PCIe \u63a5\u53e3\uff0c\u8fde\u63a5\u5230 CPU\u3002<\/li>\n<li>InfiniBand\uff1a\u4e00\u79cd\u9ad8\u901f\u3001\u4f4e\u5ef6\u8fdf\u7684\u4e92\u8fde\u6280\u672f\uff0c\u901a\u5e38\u7528\u4e8e\u9ad8\u6027\u80fd\u8ba1\u7b97\uff08HPC\uff09\u8bbe\u7f6e\u3002\u5b83\u5b9e\u73b0\u4e86\u670d\u52a1\u5668\u96c6\u7fa4\u548c\u5b58\u50a8\u8bbe\u5907\u4e4b\u95f4\u7684\u9ad8\u901f\u4e92\u8fde\u3002<\/li>\n<li>\u4ee5\u592a\u7f51\uff1a\u5e94\u7528\u6700\u5e7f\u6cdb\u6700\u6210\u719f\u7684\u7f51\u7edc\u6280\u672f\uff0c\u4e3b\u8981\u7528\u4e8e\u5728\u6570\u636e\u4e2d\u5fc3\u7684\u670d\u52a1\u5668\u4e4b\u95f4\u4f20\u8f93\u5927\u91cf\u6570\u636e\u3002\u4f46\u662f\uff0c\u5b83\u65e0\u6cd5\u63d0\u4f9b\u4e0e NVLink \u6216 InfiniBand \u76f8\u540c\u7684\u6027\u80fd\u6c34\u5e73\u3002<\/li>\n<\/ul>\n<p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.nicekj.com\/wp-content\/uploads\/replace\/b3c73f140b5ba30305f09931d110b4c5.png\" alt=\"\u52a0\u901f\u8ba1\u7b97\uff0c\u4e3a\u4f55\u4f1a\u6210\u4e3a AI \u65f6\u4ee3\u7684\u8ba1\u7b97\u529b\u201c\u65b0\u5ba0\u201d\" \/><\/figure>\n<\/p>\n<p>\u25b3 NVLink \u548c PCIe \u4e0e CPU \u8fde\u63a5\u7684 GPU \u67b6\u6784<\/p>\n<h2 data-id=\"heading-5\">\u52a0\u901f\u8ba1\u7b97\u5e94\u7528\u573a\u666f<\/h2>\n<h3 data-id=\"heading-6\">\u751f\u6210\u5f0fAI<\/h3>\n<p>\u52a0\u901f\u8ba1\u7b97\u662f\u5f00\u53d1\u548c\u5b9e\u65bd\u5148\u8fdb\u7684\u751f\u6210\u5f0f AI \u6a21\u578b\u7684\u5173\u952e\u56e0\u7d20\u3002\u751f\u6210\u5f0f AI \u6d89\u53ca\u4f7f\u7528\u7b97\u6cd5\u6765\u7edf\u8ba1\u7279\u5f81\u4e0a\u4e0e\u8bad\u7ec3\u96c6\u76f8\u4f3c\u7684\u6570\u636e\uff0c\u5728\u56fe\u50cf\u3001\u6587\u672c\u548c\u8bed\u97f3\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n<p>\u5728\u751f\u6210\u5f0f AI \u9886\u57df\uff0c\u4f1a\u7528\u5230\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GANs\uff09\u3001\u53d8\u5f02\u81ea\u52a8\u7f16\u7801\u5668\uff08VAEs\uff09\u548c\u53d8\u6362\u5668\uff08Transformers\uff09\u7b49\u6a21\u578b\uff0c\u8fd8\u6709\u5305\u62ec OpenAI \u7684 ChatGPT \u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u3002\u8fd9\u4e9b\u6a21\u578b\u6240\u6d89\u53ca\u5230\u7684\u590d\u6742\u6570\u5b66\u8fd0\u7b97\uff0c\u9700\u8981\u5728\u5927\u578b\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u5e76\u9700\u8981\u5927\u91cf\u7684\u8ba1\u7b97\u80fd\u529b\u548c\u5185\u5b58\u3002\u66f4\u5177\u4f53\u5730\u8bf4\uff0c\u6a21\u578b\u5927\u5c0f\u3001\u6bcf\u5c42\u590d\u6742\u5ea6\u3001\u5e8f\u5217\u957f\u5ea6\u548c\u591a\u6837\u5316\u662f\u8ba1\u7b97\u9700\u6c42\u65e5\u76ca\u589e\u52a0\u7684\u6700\u4e3b\u8981\u56e0\u7d20\u3002<\/p>\n<p>\u52a0\u901f\u8ba1\u7b97\u5728\u89e3\u51b3\u751f\u6210\u5f0f AI \u7684\u8ba1\u7b97\u80fd\u529b\u548c\u5185\u5b58\u9700\u6c42\u65b9\u9762\u53d1\u6325\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u5176\u4e3b\u8981\u4f5c\u7528\u5728\u52a0\u5feb\u8bad\u7ec3\u65f6\u95f4\u3001\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3001\u652f\u6301\u590d\u6742\u6a21\u578b\u3001\u4fc3\u8fdb\u5b9e\u65f6\u751f\u6210\u5e76\u4fdd\u969c\u9ad8\u6548\u68af\u5ea6\u8ba1\u7b97\u3002<\/p>\n<p><strong>\u52a0\u5feb\u8bad\u7ec3\u65f6\u95f4<\/strong><\/p>\n<p>\u52a0\u901f\u8ba1\u7b97\u5728\u751f\u6210\u5f0f AI \u4e2d\u6700\u91cd\u8981\u7684\u4f5c\u7528\u662f\u7f29\u77ed GAN\u3001VAE \u548c Transformer \u6a21\u578b\u7684\u8bad\u7ec3\u65f6\u95f4\u3002\u5728\u57fa\u4e8e CPU \u7684\u4f20\u7edf\u67b6\u6784\u4e0a\uff0c\u8fd9\u4e9b\u6a21\u578b\u7684\u8bad\u7ec3\u901a\u5e38\u9700\u8981\u6570\u5929\u3001\u6570\u5468\u751a\u81f3\u6570\u6708\u7684\u65f6\u95f4\uff0c\u4f46 GPU \u548c TPU 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