{"id":2231,"date":"2023-07-17T09:16:43","date_gmt":"2023-07-17T01:16:43","guid":{"rendered":""},"modified":"2023-07-17T09:16:43","modified_gmt":"2023-07-17T01:16:43","slug":"","status":"publish","type":"post","link":"http:\/\/www.idea2003.com\/dongtai\/2231.html","title":{"rendered":"AI \u5927\u6a21\u578b\u7ade\u4e89\u767d\u70ed\u5316\uff0c\u7b97\u529b\u4f18\u5316\u624d\u662f\u201c\u8d85\u8f66\u70b9\u201d\uff1f"},"content":{"rendered":"<blockquote>\n<p>\u58f0\u660e:\u672c\u6587\u6765\u81ea\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7 InfoQ\uff08ID:infoqchina\uff09\uff0c\u4f5c\u8005 | \u51cc\u654f\uff0c\u6388\u6743\u7ad9\u957f\u4e4b\u5bb6\u8f6c\u8f7d\u53d1\u5e03\u3002<\/p>\n<\/blockquote>\n<p>\u5609\u5bbe | \u848b\u6653\u7ef4\u535a\u58eb\u3001\u6234\u91d1\u6743<\/p>\n<p>\u91c7\u8bbf | \u51cc\u654f\u3001\u674e\u51ac\u6885<\/p>\n<p>\u4f5c\u8005 | \u51cc\u654f<\/p>\n<p>\u7b97\u529b\u662f\u9a71\u52a8\u4eba\u5de5\u667a\u80fd\u4ea7\u4e1a\u53d1\u5c55\u7684\u6838\u5fc3\u52a8\u529b\u3002\u5728\u6570\u636e\u3001\u7b97\u6cd5\u548c\u7b97\u529b\u4e09\u5927\u4eba\u5de5\u667a\u80fd\u8981\u7d20\u4e2d\uff0c\u7b97\u529b\u662f\u5c06\u6570\u636e\u548c\u7b97\u6cd5\u771f\u6b63\u901a\u8fc7\u786c\u4ef6\u6267\u884c\u7684\u57fa\u7840\u5355\u5143\uff0c\u5e76\u5c06\u6570\u636e\u3001\u7b97\u6cd5\u8f6c\u5316\u4e3a\u6700\u7ec8\u7684\u751f\u4ea7\u529b\u3002<\/p>\n<p>\u968f\u7740 AI \u6280\u672f\u7684\u9ad8\u901f\u53d1\u5c55\uff0c\u4ee5\u53ca AI \u5927\u6a21\u578b\u7684\u5e7f\u6cdb\u5e94\u7528\uff0cAI \u7b97\u529b\u9700\u6c42\u6b63\u5728\u5feb\u901f\u589e\u52a0\uff0c\u5927\u6982\u6bcf\u96943-4\u4e2a\u6708\u5c31\u4f1a\u589e\u52a0\u4e00\u500d\u3002\u5982\u4eca\uff0c\u5bf9 AI \u4efb\u52a1\u6240\u9700\u7b97\u529b\u603b\u91cf\u7684\u5ea6\u91cf\u5355\u4f4d\u5df2\u7ecf\u8fdb\u5165 PD 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class=\"spamTxt\">\u9996\u6b21<\/span>\u5f15\u8d77\u5e7f\u6cdb\u5173\u6ce8\uff0c\u4f7f\u5f97\u673a\u5668\u5b66\u4e60\u5206\u652f\u6df1\u5ea6\u5b66\u4e60\u7684\u70ed\u5ea6\u5448\u6307\u6570\u7ea7\u4e0a\u5347\u3002\u5728\u4f20\u7edf\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u4e2d\uff0c\u7b97\u529b\u4f5c\u4e3a\u5e95\u5c42\u57fa\u7840\u8bbe\u65bd\u626e\u6f14\u7740\u81f3\u5173\u91cd\u8981\u7684\u89d2\u8272\uff0c\u4e0d\u65ad\u63a8\u52a8\u4e0a\u5c42\u6280\u672f\u8fed\u4ee3\u521b\u65b0\u3002\u4f7f\u5f97\u8fd9\u4e9b\u4f20\u7edf\u6280\u672f\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u56fe\u50cf\u5206\u7c7b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u5e7f\u544a\u63a8\u8350\u3001\u81ea\u52a8\u9a7e\u9a76\u548c\u56fe\u50cf\u751f\u6210\u7b49\u9886\u57df\u6108\u52a0\u6210\u719f\uff0c\u5e76\u5728\u5b9e\u8df5\u4e2d\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n<p>\u5728 AI \u9886\u57df\uff0c\u5927\u5bb6\u5173\u6ce8\u7684\u7126\u70b9\u4e3b\u8981\u5305\u62ec\u5404\u79cd\u5404\u6837\u7684\u6570\u636e\u96c6\uff0c\u4ee5\u53ca\u8bf8\u5982 Caffe\u3001TensorFlow\u3001PyTorch \u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u8fd8\u6709\u50cf Horovod \u8fd9\u6837\u7684\u5206\u5e03\u5f0f\u8bad\u7ec3\u6846\u67b6\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u5e95\u5c42\u82af\u7247\u6280\u672f\u4e5f\u5728\u4e0d\u65ad\u6f14\u8fdb\u53d1\u5c55\u3002\u6700\u65e9\u4f01\u4e1a\u4f7f\u7528 CPU \u8fdb\u884c\u8bad\u7ec3;\u968f\u540e\uff0cGPU\/GPGPU\uff08\u901a\u7528 GPU\uff09\u6210\u4e3a\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u6807\u51c6\u8bbe\u5907;\u518d\u5230\u540e\u6765\u5f00\u59cb\u51fa\u73b0\u4e00\u4e9b\u4e13\u7528\u7684 AI \u82af\u7247\uff0c\u6bd4\u5982\u8c37\u6b4c\u7684 TPU \u82af\u7247\uff0c\u4ee5\u53ca\u56fd\u5185\u7684\u5bd2\u6b66\u7eaa\u7b49\u7b49\u3002<\/p>\n<p>2022\u5e74\uff0cAIGC \u6280\u672f\u8fce\u6765\u5e94\u7528\u5927\u7206\u53d1\uff0c\u4ece OpenAI \u6587\u672c\u751f\u6210\u56fe\u50cf\u7cfb\u7edf Dall-E2\u5230 AI \u7ed8\u753b\u795e\u5668 Stable Diffusion\uff0cAIGC \u8fc5\u901f\u706b\u6210\u201c\u9876\u6d41\u201d\u3002<\/p>\n<p>\u6234\u91d1\u6743\u8868\u793a\uff0cAIGC \u6280\u672f\u4e3b\u8981\u6db5\u76d6\u4e24\u7c7b\u6a21\u578b:\u4e00\u7c7b\u662f\u50cf Stable Diffusion 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\u6a2a\u7a7a\u51fa\u4e16\uff0c\u6210\u529f\u6380\u8d77\u4e86 AI \u5927\u6a21\u578b\u70ed\u6f6e\u3002\u968f\u540e\uff0c\u56fd\u5185\u5916\u9646\u7eed\u53d1\u5e03\u4e86\u591a\u6b3e AI \u5927\u6a21\u578b\u3002<\/p>\n<p>\u848b\u6653\u7ef4\u8ba4\u4e3a\uff0c\u8fd9\u4e00\u6ce2\u5927\u8bed\u8a00\u6a21\u578b\u70ed\u6f6e\u4e0e\u4e4b\u524d\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u521b\u65b0\u76f8\u6bd4\uff0c\u786e\u5b9e\u5b58\u5728\u8bf8\u591a\u4e0d\u540c\uff0c\u5e76\u4e0d\u65ad\u5237\u65b0\u5927\u5bb6\u7684\u8ba4\u77e5\u3002\u201c\u4ece AlexNet\u3001CNN+LSTM\u3001VGG\u3001ResNet\uff0c\u518d\u5230\u540e\u6765\u7684 GAN \u548c\u6700\u8fd1\u7684 Diffusion Model\uff0c\u4ee5\u53ca AIGC \u9886\u57df\u7684 Bert\u3001GPT \u7b49\uff0c\u8fd9\u4e9b\u6a21\u578b\u9886\u57df\u7684\u4e0d\u65ad\u8fed\u4ee3\u521b\u65b0\u5df2\u7ecf\u6301\u7eed\u81f3\u5c119\u5e74\u4e86\u3002ChatGPT \u7684\u51fa\u73b0\u5b9e\u9645\u4e0a\u662f\u8fc7\u53bb9\u5e74\u5404\u79cd\u6280\u672f\u6808\u6709\u673a\u7ed3\u5408\u540e\u7684\u4e00\u4e2a\u79ef\u7d2f\u548c\u7a81\u7834\u7684\u8fc7\u7a0b\u3002\u201d<\/p>\n<p>\u53c2\u6570\u89c4\u6a21\u65b9\u9762\uff0cGPT-3\u7684\u53c2\u6570\u89c4\u6a21\u662f1750\u4ebf\u3002\u8fd1\u65e5\uff0c\u201c\u5929\u624d\u9ed1\u5ba2\u201d\u4e54\u6cbb\u00b7\u970d\u5179\u5728\u63a5\u53d7\u91c7\u8bbf\u65f6\u900f\u9732\uff0cGPT-4\u53c2\u6570\u9ad8\u8fbe1.76\u4e07\u4ebf\uff0c\u662f GPT-3\u768410\u500d\u3002\u7b97\u529b\u9700\u6c42\u65b9\u9762\uff0c\u6709\u6570\u636e\u663e\u793a\uff0cGPT-3\u7684\u6574\u4e2a\u5b8c\u6574\u8bad\u7ec3\u9700\u89813.14E11\uff08TFLOPS\uff09\u7684\u6bcf\u79d2\u6d6e\u70b9\u8fd0\u7b97\u91cf\u3002OpenAI \u9996\u5e2d\u6267\u884c\u5b98 Sam Altman \u66fe\u5728\u63a5\u53d7\u91c7\u8bbf\u65f6\u6307\u51fa\uff0cGTP-4\u9700\u8981\u7684\u8ba1\u7b97\u91cf\u4e3a GTP-3\u768410\u500d;GTP-5\u9700\u8981\u7684\u8ba1\u7b97\u91cf\u4e3a GTP-3\u7684200-400\u500d\u3002<\/p>\n<p>\u5927\u6a21\u578b\u7684\u80cc\u540e\u79bb\u4e0d\u5f00\u5e9e\u5927\u7b97\u529b\u7684\u652f\u6491\uff0c\u8fd9\u79cd\u652f\u6491\u901a\u5e38\u6765\u81ea\u4e8e\u786c\u4ef6\u4e0e\u8f6f\u4ef6\u4e24\u65b9\u9762\u3002\u4ee5\u82f1\u7279\u5c14\u4e3a\u4f8b\uff0c\u6234\u91d1\u6743\u5728\u63a5\u53d7\u91c7\u8bbf\u65f6\u8868\u793a\uff0c\u4ece\u7b97\u529b\u89d2\u5ea6\u6765\u770b\uff0c\u82f1\u7279\u5c14\u652f\u6301\u751f\u6210\u5f0f AI \u7684\u8ba1\u7b97\u4e3b\u8981\u505a\u4e24\u65b9\u9762\u5de5\u4f5c:<\/p>\n<ul>\n<li>\n<p>\u4e00\u662f\u5728\u786c\u4ef6\u5c42\u9762\u3002\u5f97\u76ca\u4e8e\u82f1\u7279\u5c14\u7684 XPU \u6218\u7565\uff0c\u6bd4\u5982\u4e00\u4e2a\u7b14\u8bb0\u672c\u7535\u8111\u4e5f\u53ef\u4ee5\u6709\u4e00\u4e2a\u5f3a\u5927\u7684 XPU \u5e73\u53f0\uff0c\u6709 CPU\u3001\u96c6\u6210\u663e\u5361\u3001\u72ec\u7acb\u663e\u5361\uff0c\u4e0b\u4e00\u4ee3\u8fd8\u5c06\u6709 VPU\uff0c\u5229\u7528\u4e0d\u540c\u7684\u52a0\u901f\u6765\u5bf9\u751f\u6210\u5f0f AI \u8fdb\u884c\u8fd0\u7b97\u7684\u652f\u6491\u3002\u5728\u6570\u636e\u4e2d\u5fc3\u7aef\u4e5f\u662f\u5982\u6b64\uff0c\u7b2c\u56db\u4ee3\u82f1\u7279\u5c14\u81f3\u5f3a\u53ef\u6269\u5c55\u5904\u7406\u5668\u5185\u7f6e\u7684\u77e9\u9635\u8fd0\u7b97\u52a0\u901f\u5668\uff08\u82f1\u7279\u5c14 AMX\uff09\uff0c\u8fd8\u6709\u82f1\u7279\u5c14\u6570\u636e\u4e2d\u5fc3 GPU Ponte Vecchio(PVC)\u3001Gaudi \u7cfb\u5217\u4e13\u7528 AI \u52a0\u901f\u5668\u3002<\/p>\n<\/li>\n<li>\n<p>\u4e8c\u662f\u5728\u8f6f\u4ef6\u5c42\u9762\uff0c\u5229\u7528\u8f6f\u4ef6\u7684\u6280\u672f\u5c06\u786c\u4ef6\u7684\u8ba1\u7b97\u80fd\u529b\u63d0\u4f9b\u51fa\u6765\uff0c\u5305\u62ec\u4e0e TensorFlow\u3001PyTorch\u3001Hybrid Bonding \u7b49\u5f00\u6e90\u8f6f\u4ef6\u8fdb\u884c\u4e86\u5e7f\u6cdb\u5408\u4f5c\uff0c\u4e0e OpenAI \u5408\u4f5c\u7684 AI \u7f16\u8bd1\u5668 Triton\uff0c\u4ee5\u53ca\u548c\u5fae\u8f6f\u5408\u4f5c\u4f18\u5316\u7684\u505a\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u8bad\u7ec3\u7684\u8f6f\u4ef6\u6808 DeepSpeed 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\u53d1\u5c55\u7684\u56e0\u7d20\u4e4b\u4e00\u3002<\/p>\n<p>\u201c\u9664\u4e86\u5728\u8f6f\u4ef6\u3001\u6a21\u578b\u548c\u7b97\u6cd5\u5c42\u9762\u8fdb\u884c\u591a\u7ef4\u5ea6\u7684\u4f18\u5316\u4e4b\u5916\uff0cCPU \u901a\u7528\u8ba1\u7b97\u9886\u57df\u7684\u53d1\u5c55\u5386\u7a0b\u53ef\u4ee5\u4e3a\u5927\u6a21\u578b\u7b97\u529b\u9886\u57df\u7684\u6210\u672c\u4f18\u5316\u63d0\u4f9b\u4e00\u4e9b\u501f\u9274\u610f\u4e49\u201d\u3002\u848b\u6653\u7ef4\u63d0\u5230\u3002\u5728 CPU \u901a\u7528\u8ba1\u7b97\u9886\u57df\uff0c\u63d0\u5347\u7b97\u529b\u5b58\u5728\u4e24\u79cd\u6a21\u578b\uff0c\u5206\u522b\u662f\u201cScale up\u201d\uff08\u6c34\u5e73\u65b9\u5411\u4e0a\u6269\u5c55\uff09\u548c\u201cScale out\u201d(\u5782\u76f4\u65b9\u5411\u4e0a\u6269\u5c55)\u3002\u201cScale up\u201d\u662f\u6307\u901a\u8fc7\u5404\u79cd\u65b9\u5f0f\u5c06\u4e00\u53f0\u673a\u5668\u6269\u5c55\u5230\u50cf\u5c0f\u578b\u673a\u751a\u81f3\u5927\u578b\u673a\u7684\u89c4\u6a21\uff0c\u800c\u201cScale out\u201d\u662f\u6307\u901a\u8fc7\u7531 CPU\u3001\u5185\u5b58\u3001\u5b58\u50a8\u7b49\u5546\u4e1a\u5316\u90e8\u4ef6\u6784\u5efa\u5355\u53f0\u670d\u52a1\u5668\uff0c\u901a\u8fc7\u590d\u5236\u8fd9\u4e9b\u673a\u5668\uff0c\u5e76\u5c06\u8fd9\u4e9b\u673a\u5668\u4ee5\u9ad8\u6027\u80fd\u7684\u6570\u636e\u4e2d\u5fc3\u7f51\u7edc\u4e92\u8054\u8d77\u6765\uff0c\u518d\u7ed3\u5408\u4e00\u4e9b\u7cfb\u7edf\u5c42\u9762\u7684\u6280\u672f\u5c06\u5176\u6784\u5efa\u6210\u7c7b\u4f3c\u5c0f\u578b\u673a\u7684\u89e3\u51b3\u65b9\u6848\u3002\u4f20\u7edf\u7684\u5c0f\u578b\u673a\u662f\u201cScale up\u201d\u7684\u7ecf\u5178\u6848\u4f8b\uff0c\u4ee5\u5355\u8def\u548c\u53cc\u8def x86\u670d\u52a1\u5668\u6784\u5efa\u7684\u6570\u636e\u4e2d\u5fc3\u5219\u662f\u201cScale out\u201d\u7684\u4ee3\u8868\u3002<\/p>\n<p>\u4ece\u201cScale up\u201d\u5230\u201cScale out\u201d\u662f\u901a\u7528\u8ba1\u7b97\u9886\u57df\u7ecf\u5386\u7684\u4e00\u79cd\u53d1\u5c55\u8fc7\u7a0b\u3002\u5728\u56fd\u5916\uff0c\u8c37\u6b4c\u662f\u4e00\u4e2a\u65e9\u671f\u7684\u4ee3\u8868\u6848\u4f8b\uff0c\u800c\u5728\u56fd\u5185\uff0c\u963f\u91cc\u662f\u6700<span class=\"spamTxt\">\u8457\u540d<\/span>\u7684\u4ee3\u8868\u3002\u963f\u91cc\u6709\u4e00\u4e2a<span class=\"spamTxt\">\u8457\u540d<\/span>\u7684\u6545\u4e8b\u53eb\u505a\u201c\u53bb IOE\u201d\uff0c\u5373\u6452\u5f03 IBM \u7684\u5c0f\u578b\u673a\u3001Oracle \u7684\u6570\u636e\u5e93\u4ee5\u53ca EMC \u7684\u5b58\u50a8\uff0c\u901a\u8fc7\u5546\u7528\u5316\u7684 x86\u670d\u52a1\u5668\u6784\u5efa\u201cScale out\u201d\u7684\u6570\u636e\u4e2d\u5fc3\u3002<\/p>\n<p>\u848b\u6653\u7ef4\u8ba4\u4e3a\uff0c<strong>\u8fd9\u6216\u8bb8\u662f\u5927\u578b\u6a21\u578b\u548c GPU \u7b97\u529b\u9886\u57df\u672a\u6765\u53ef\u80fd\u8981\u8d70\u7684\u8def\u7ebf\u3002<\/strong>\u201c\u76ee\u524d\u6211\u4eec\u4ecd\u7136\u5728\u8d70\u8d70\u2019Scale up\u2019\u8fd9\u6761\u8def\u7ebf\uff0c\u5355 GPU \u670d\u52a1\u5668\u8d8a\u505a\u8d8a\u5927\u3001\u4e5f\u8d8a\u505a\u8d8a\u8d35\u3002\u800c\u2018Scale out\u2019\u7684\u65b9\u5f0f\uff0c\u6211\u8ba4\u4e3a\u5e94\u8be5\u662f\u7ef4\u6301\u4e00\u4e2a\u6700\u57fa\u672c\u7684\u5c0f\u5355\u5143\uff0c\u53ef\u80fd\u5305\u542b CPU \u3001GPU \u548c\u9ad8\u6027\u80fd\u4e92\u8054\u7f51\u5361\uff0c\u4e0d\u540c\u7684\u82af\u7247\u5668\u4ef6\u53ef\u4ee5\u7531\u4e0d\u540c\u7684\u5382\u5bb6\u63d0\u4f9b\u3002\u82f1\u4f1f\u8fbe\u7684 Grace-Hopper superchip \u76ee\u524d\u662f\u8fd9\u79cd\u57fa\u672c\u5355\u5143\u7684\u4ee3\u8868\u65b9\u6848\u3002\u901a\u8fc7\u5206\u5e03\u5f0f\u65b9\u5f0f\u548c\u9ad8\u6027\u80fd\u3001\u9ad8\u6548\u7684\u7f51\u7edc\u5c06\u8ba1\u7b97\u5355\u5143\u4e92\u8054\u8d77\u6765\u662f\u4e00\u79cd\u964d\u4f4e\u6210\u672c\u7684\u53ef\u80fd\u9014\u5f84\u3002\u73b0\u5982\u4eca\uff0c\u6570\u636e\u4e2d\u5fc3\u7684\u7f51\u7edc\u5ef6\u8fdf\u5df2\u7ecf\u8fbe\u5230\u4e86\u4e9a\u5fae\u79d2\u7ea7\u522b\uff0c\u751a\u81f3\u662f\u7eb3\u79d2\u7ea7\u522b\uff0c\u5b8c\u5168\u5177\u5907\u4e86\u5c06\u8ba1\u7b97\u5355\u5143\u9ad8\u6548\u4e92\u8054\u7684\u80fd\u529b\u3002\u8fd9\u662f\u4ece\u2018Scale up\u2019\u65b9\u5f0f\u9010\u6e10\u6f14\u53d8\u5230\u2018Scale out\u2019\u65b9\u5f0f\u7684\u4e00\u4e2a\u7ef4\u5ea6\u3002\u6211\u4eec\u53ef\u4ee5\u501f\u9274\u901a\u7528\u8ba1\u7b97\u9886\u57df\u5148\u524d\u7684\u4e00\u4e9b\u7ecf\u9a8c\u3002\u201d<\/p>\n<p>\u6b64\u5916\uff0c\u901a\u8fc7\u8f6f\u4ef6\u6765\u627f\u62c5\u4e00\u4e9b\u9ad8\u53ef\u7528\u529f\u80fd\uff0c\u5982\u5bb9\u9519\u7b49\uff0c\u4ee5\u53ca\u5bfb\u627e\u7b2c\u4e8c\u4f9b\u5e94\u5546\uff0c\u90fd\u662f\u964d\u4f4e\u6210\u672c\u7684\u5173\u952e\u624b\u6bb5\u3002<\/p>\n<p>\u7b97\u529b\u4f18\u5316\u63a2\u7d22\u4e0e\u5b9e\u8df5<\/p>\n<p>\u5728\u964d\u4f4e\u7b97\u529b\u6210\u672c\u4e4b\u5916\uff0c\u5982\u4f55\u66f4\u597d\u5730\u5229\u7528\u7b97\u529b\u3001\u63d0\u5347\u7b97\u529b\u7684\u6548\u7387\u4e5f\u662f\u4e1a\u754c\u4e9f\u5f85\u89e3\u51b3\u7684\u95ee\u9898\u3002\u800c\u5982\u4f55\u5c06\u8ba1\u7b97\u80fd\u529b\u5206\u5e03\u5f0f\u5316\u3001\u6784\u5efa\u5206\u5e03\u5f0f\u8ba1\u7b97\u80fd\u529b\uff0c\u6b63\u662f\u7b97\u529b\u4f18\u5316\u7684\u524d\u63d0\u3002<\/p>\n<p>\u5728\u8fc7\u53bb\uff0c\u5927\u5bb6\u5bf9 AI \u82af\u7247\u9886\u57df\u7684\u5173\u6ce8\u70b9\u4e3b\u8981\u96c6\u4e2d\u5728\u63a8\u7406\u65b9\u9762\uff0c\u4f46\u73b0\u5728\u5927\u6a21\u578b\u4f7f\u5f97\u4eba\u4eec\u66f4\u5173\u6ce8\u5206\u5e03\u5f0f\u8bad\u7ec3\uff0c\u5c24\u5176\u662f\u5206\u5e03\u5f0f\u8bad\u7ec3\u96c6\u7fa4\u7684\u6784\u5efa\u3002\u56e0\u4e3a\u5355\u5f20\u5361\u65e0\u6cd5\u6ee1\u8db3\u9700\u6c42\uff0c\u6240\u4ee5\u9700\u8981\u6784\u5efa\u5206\u5e03\u5f0f\u8bad\u7ec3\u96c6\u7fa4\uff0c\u901a\u8fc7\u9ad8\u6548\u7684\u4e92\u8054\u5c06\u5927\u91cf GPU \u8fde\u63a5\u8d77\u6765\u3002<\/p>\n<p>\u9664\u4e86\u63d0\u5347\u5355\u4e2a GPU \u82af\u7247\u7684\u80fd\u529b\u4e4b\u5916\uff0c\u53e6\u4e00\u4e2a\u6838\u5fc3\u95ee\u9898\u662f\u5982\u4f55\u9ad8\u6548\u5730\u5c06 GPU \u5355\u5361\u6784\u5efa\u6210\u5206\u5e03\u5f0f\u8bad\u7ec3\u80fd\u529b\u3002\u8fd9\u662f\u5f53\u524d\u5927\u6a21\u578b\u7b97\u529b\u6784\u5efa\u8fc7\u7a0b\u4e2d\u4e00\u4e2a\u975e\u5e38\u6838\u5fc3\u7684\u9886\u57df\u548c\u6280\u672f\u3002\u8fd9\u9700\u8981\u8d85\u7ea7\u8ba1\u7b97\u7f51\u7edc\u7684\u80fd\u529b\u548c\u9ad8\u6027\u80fd\u7f51\u7edc\uff0c\u4ee5\u9ad8\u6548\u5730\u4e92\u8054\u5355\u4e2a\u8282\u70b9\u7684 GPU \u8ba1\u7b97\u5355\u5143\uff0c\u5e76\u4e14\u8fd8\u9700\u8981\u66f4\u9ad8\u6548\u7684 CPU \u4e0e GPU \u534f\u540c\u80fd\u529b\u3002\u6700\u8fd1\u53d1\u5e03\u7684\u82f1\u4f1f\u8fbe\u7684 DGX GH200\u6b63\u662f\u8fd9\u4e9b\u6280\u672f\u7684<span class=\"spamTxt\">\u5dc5\u5cf0<\/span>\u4f53\u73b0\u3002<\/p>\n<p>\u848b\u6653\u7ef4\u8ba4\u4e3a\uff0c\u82f1\u4f1f\u8fbe\u4e0d\u4ec5\u4ec5\u662f\u4e00\u5bb6 GPU \u7b97\u529b\u516c\u53f8\uff0c\u540c\u65f6\u4e5f\u662f\u4e00\u5bb6\u9ad8\u6027\u80fd\u7f51\u7edc\u548c CPU \u516c\u53f8\u3002\u201c\u6211\u4eec\u53ef\u4ee5\u770b\u4e0b\u82f1\u4f1f\u8fbe\u7684\u6838\u5fc3\u6280\u672f\u3002\u9996\u5148\uff0c\u5b83\u5728\u82af\u7247\u529f\u80fd\u65b9\u9762\u5f80\u5f80\u662f\u91c7\u7528<span class=\"spamTxt\">\u6700\u5148<\/span>\u8fdb\u7684\u5236\u7a0b\u6280\u672f\uff0c\u540c\u65f6\u9700\u8981\u5728<span class=\"spamTxt\">\u6700\u5148<\/span>\u8fdb\u7684\u5236\u7a0b\u652f\u6301\u4e0b\u8fbe\u5230\u5355 die \u9762\u79ef\u4ee5\u53ca\u529f\u8017\u548c\u6563\u70ed\u7684\u6781\u9650\u3002\u56e0\u6b64\uff0c\u5bf9\u4e8e\u82af\u7247\u8bbe\u8ba1\u9886\u57df\u4ee5\u53ca\u5236\u7a0b\u7684\u5404\u4e2a\u73af\u8282\uff0c\u90fd\u6709\u975e\u5e38\u9ad8\u7684\u8981\u6c42\u3002\u6211\u8ba4\u4e3a\u8fd9\u662f<span class=\"spamTxt\">\u7b2c\u4e00<\/span>\u4e2a\u57fa\u7840\uff0c\u5c31\u662f\u82af\u7247\u8bbe\u8ba1\u9886\u57df\uff0c\u5305\u62ec\u5148\u8fdb\u7684\u5236\u7a0b\u6280\u672f\uff0c\u9ad8\u8ba1\u7b97\u80fd\u529b\u7684\u5355\u5361\u82af\u7247\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u518d\u6784\u5efa\u591a\u673a\u591a\u5361\u7684\u8bad\u7ec3\uff0c\u5c06\u9ad8\u6548\u7684\u5355\u5361\u4e92\u8054\u8d77\u6765\u3002\u8fd9\u5c31\u9700\u8981\u9ad8\u6027\u80fd\u7f51\u7edc\u7684\u80fd\u529b\uff0c\u901a\u8fc7\u8fd9\u79cd\u9ad8\u6027\u80fd\u7f51\u7edc\u80fd\u529b\u5b9e\u73b0\u5355\u5361\u6027\u80fd\u7684\u2018\u7ebf\u6027\u2019\u7406\u60f3\u72b6\u51b5\uff0c\u540c\u65f6\u5728\u6269\u5c55\u6027\u65b9\u9762\u4e5f\u6709\u5f88\u9ad8\u7684\u57fa\u672c\u8981\u6c42\u3002\u201d<\/p>\n<p>\u5728\u8fc7\u53bb\u7684\u51e0\u5341\u5e74\u4e2d\uff0c\u82f1\u4f1f\u8fbe\u66fe\u6d89\u8db3 x86\u82af\u7247\u7ec4\u9886\u57df\uff0c\u5e76\u4e14\u5728\u9000\u51fa\u8be5\u4e1a\u52a1\u540e\u4e00\u76f4\u81f4\u529b\u4e8e ARM CPU \u7684\u7814\u53d1\u3002\u76ee\u524d\uff0c\u82f1\u4f1f\u8fbe\u5df2\u7ecf\u63a8\u51fa\u4e86\u57fa\u4e8e ARM \u67b6\u6784\u7684 Grace \u82af\u7247\u4ea7\u54c1\uff0c\u5e76\u901a\u8fc7 NvLink C2C \u80fd\u529b\u5728\u6700\u8fd1\u53d1\u5e03\u7684 Grace Hopper \u8d85\u7ea7\u82af\u7247\u4e2d\u5b9e\u73b0\u4e86\u9ad8\u901f\u9ad8\u6548\u7684 GPU \u548c CPU \u4e4b\u95f4\u7684\u4e92\u8054\u3002\u901a\u8fc7 NvLink \u6280\u672f\u5b9e\u73b0\u591a\u4e2a CPU \u82af\u7247\u4e4b\u95f4\u7684\u4e92\u8054\uff0c\u4ee5\u5b9e\u73b0\u53cc\u8def\u751a\u81f3\u591a\u8def CPU \u67b6\u6784\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u5728\u5b8c\u6210\u5bf9 Mellanox \u7684\u6536\u8d2d\u4e4b\u540e\uff0c\u82f1\u4f1f\u8fbe\u5728\u9ad8\u6027\u80fd\u7f51\u7edc\u9886\u57df\u7684 Infiniband\u3001RDMA\u3001GDR \u7b49\u6280\u672f\u4e5f\u5145\u5206\u652f\u6301\u4e86\u591a GPU \u670d\u52a1\u5668\u8282\u70b9\u76f4\u63a5\u7684\u4e92\u8054\uff0c\u4e3a\u201cScale out\u201d\u7684\u90e8\u7f72\u5960\u5b9a\u4e86\u57fa\u7840\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u82f1\u7279\u5c14\u548c AMD \u4e5f\u5728\u540c\u65f6\u5728 CPU\u3001GPU \u548c\u9ad8\u6027\u80fd\u7f51\u7edc\u4e92\u8054\u6280\u672f\u9886\u57df\u5177\u5907\u5f3a\u5927\u80fd\u529b\u3002\u5728 CPU \u9886\u57df\uff0c\u82f1\u7279\u5c14\u548c AMD \u90fd\u662f\u884c\u4e1a<span class=\"spamTxt\">\u9886\u5bfc\u8005<\/span>\u3002\u5728\u7f51\u7edc\u9886\u57df\uff0c\u82f1\u7279\u5c14\u62e5\u6709\u81ea\u5df1\u7684 Mount Evans\uff08IPU\uff09\uff0c\u800c AMD \u5728\u6536\u8d2d Pansando \u540e\u5728 DPU \u9886\u57df\u4e5f\u83b7\u5f97\u4e86\u5f3a\u5927\u5b9e\u529b\u3002\u5728\u5e26\u5185 &#8211; \u5e26\u95f4\u4e92\u8054\u65b9\u9762\uff0c\u82f1\u7279\u5c14\u901a\u8fc7 QPI \u6216 UPI \u7b49\u6280\u672f\u5b9e\u73b0\u4e86 CPU \u7684\u591a\u63d2\u69fd\u4e92\u8fde\u80fd\u529b\u3002\u540c\u65f6\uff0c\u5b83\u8fd8\u6709\u50cf CXL \u8fd9\u6837\u7684\u6280\u672f\uff0c\u53ef\u4ee5\u5b9e\u73b0\u52a0\u901f\u5668\u4e0e CPU \u6216\u5185\u5b58\u4e0e CPU \u4e4b\u95f4\u7684\u9ad8\u6548\u4e92\u8fde\uff0c\u4ee5\u53ca\u81ea\u8eab\u529f\u80fd\u6240\u62e5\u6709\u7684 EMIB(2.5D \u5c01\u88c5\u6280\u672f)\uff0c\u5b9e\u73b0\u82af\u7247\u4e4b\u95f4\u7684\u4e92\u8054\u3002\u800c AMD \u5219\u62e5\u6709 Hyper Transport \u4ee5\u53ca\u57fa\u4e8e\u6b64\u7684 Infinity Fabric \u7b49\u6838\u5fc3\u6280\u672f\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5e26\u5185 &#8211; \u5e26\u95f4\u82af\u7247\u4e4b\u95f4\u7684\u9ad8\u6548\u4e92\u8fde\u3002\u6240\u6709\u8fd9\u4e9b\u6280\u672f\u90fd\u4e3a\u6784\u5efa\u5206\u5e03\u5f0f\u7b97\u529b\u63d0\u4f9b\u4e86\u5fc5\u8981\u7684\u57fa\u7840\u3002<\/p>\n<p>\u76ee\u524d\uff0c\u82f1\u4f1f\u8fbe\u7684 DGX GH200\u4ea7\u54c1\u5df2\u7ecf\u8fbe\u5230\u4e86<span class=\"spamTxt\">\u6781\u81f4<\/span>\u6c34\u5e73\uff0c\u5176\u62e5\u67091.8\u4e07\u4e2a CPU \u6838\u5fc3\u3001256\u4e2a GPU \u548c144T \u5185\u5b58\uff0c\u5b83\u4eec\u4e4b\u95f4\u901a\u8fc7\u5404\u79cd\u9ad8\u901f\u4e92\u8054\u6280\u672f\u6709\u673a\u5730\u7ed3\u5408\u5728\u4e00\u8d77\u3002\u8fd9\u79cd\u6a21\u5f0f\u5df2\u7ecf\u5bf9\u5206\u5e03\u5f0f\u8bad\u7ec3\u6846\u67b6\u548c\u6a21\u5f0f\u4ea7\u751f\u4e86\u91cd\u5927\u5f71\u54cd\u3002\u63a5\u4e0b\u6765\u7684\u95ee\u9898\u662f\uff0c<strong>\u5982\u4f55\u652f\u6301\u8fd9\u79cd\u8bbe\u5907\u7c7b\u578b\u7684\u64cd\u4f5c\u7cfb\u7edf?\u5982\u4f55\u652f\u6301\u5982\u6b64\u5927\u89c4\u6a21\u7684\u8bbe\u5907\u5185\u5b58?<\/strong> \u8fd9\u4e9b\u90fd\u662f\u672a\u6765\u6280\u672f\u53d1\u5c55\u7684\u65b9\u5411\u548c\u6311\u6218\u3002<\/p>\n<p>\u7b97\u529b\u4f18\u5316\u63a2\u7d22\u4e0e\u5b9e\u8df5<\/p>\n<p>\u5728\u5177\u4f53\u7684\u7b97\u529b\u4f18\u5316\u63a2\u7d22\u4e0e\u5b9e\u8df5\u4e2d\uff0c\u848b\u6653\u7ef4\u8868\u793a\uff0c\u4f5c\u4e3a\u4e00\u5bb6 DPU \u516c\u53f8\uff0c\u5927\u79b9\u667a\u82af\u5173\u6ce8\u7684\u662f\u5206\u5e03\u5f0f\u96c6\u7fa4\u7b97\u529b\u6a21\u578b\u9886\u57df\u7684\u4f18\u5316\uff0c\u4e3b\u8981\u96c6\u4e2d\u5728\u4ece\u5355\u673a\u5355\u5361\u5230\u591a\u673a\u89c4\u6a21\u7684\u4f18\u5316\u3002<\/p>\n<p>\u5728\u5206\u5e03\u5f0f\u8bad\u7ec3\u573a\u666f\u4e2d\uff0c\u5c24\u5176\u662f\u8bad\u7ec3\u5927\u578b\u6a21\u578b\u5982 GPT \u65f6\uff0c\u901a\u5e38\u9700\u8981\u4f7f\u7528\u6210\u5343\u4e0a\u4e07\u4e2a GPU\u3002\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u5927\u79b9\u667a\u82af\u5c06\u7b97\u529b\u6216\u82af\u7247\u6267\u884c\u7684\u8ba1\u7b97\u5206\u4e3a\u4e24\u4e2a\u7ef4\u5ea6:<\/p>\n<ul>\n<li>\n<p><span class=\"spamTxt\">\u7b2c\u4e00<\/span>\u4e2a\u7ef4\u5ea6\u662f\u7eaf\u8ba1\u7b97\uff0c\u5373\u6a21\u578b\u7684\u524d\u5411\u4f20\u64ad\u548c\u53cd\u5411\u4f20\u64ad\u8fc7\u7a0b\uff0c\u4e3b\u8981\u5728 GPU \u4e0a\u5b8c\u6210\u3002<\/p>\n<\/li>\n<li>\n<p>\u53e6\u4e00\u4e2a\u7ef4\u5ea6\u662f\u8017\u8d39\u5927\u91cf\u7b97\u529b\u4f46\u4e0d\u662f GPU \u7b97\u529b\u7684\u90e8\u5206\uff0c\u5373\u8bad\u7ec3\u4e2d\u7684\u68af\u5ea6\u4e0b\u964d\u8fc7\u7a0b\uff0c\u5728\u5206\u5e03\u5f0f GPU \u4e2d\uff0c\u9700\u8981\u5bf9\u53c2\u6570\u8fdb\u884c\u5168\u5c40\u7ea6\u7b80\u64cd\u4f5c\uff0c\u4ee5\u83b7\u5f97\u6700\u7ec8\u7684\u5168\u5c40\u7ea6\u7b80\u7ed3\u679c\u3002\u53ef\u4ee5\u5c06\u8fd9\u90e8\u5206\u79f0\u4e3a\u8bad\u7ec3\u4e2d\u7684 I\/O \u90e8\u5206\uff0c\u5b83\u4e3b\u8981\u6d88\u8017\u82af\u7247\u7684\u7f51\u7edc\u8d44\u6e90\u800c\u4e0d\u662f GPU \u7b97\u529b\u3002\u8fd9\u90e8\u5206\u4e5f\u662f\u5927\u79b9\u667a\u82af\u4ea7\u54c1\u5173\u6ce8\u7684\u7126\u70b9\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u5728\u5927\u578b\u6a21\u578b\u8bad\u7ec3\u4e2d\uff0c\u5f53\u8fbe\u52302000\u4e2a GPU \u65f6\uff0cI\/O \u90e8\u5206\u548c\u8ba1\u7b97\u90e8\u5206\u7684\u6bd4\u4f8b\u5df2\u7ecf\u8fbe\u52301:1\u3002\u968f\u7740 GPU \u6570\u91cf\u8d85\u8fc72000\uff0cI\/O \u90e8\u5206\u6240\u82b1\u8d39\u7684\u65f6\u95f4\u548c\u7b97\u529b\u53ef\u80fd\u4f1a\u8d85\u8fc7\u8ba1\u7b97\u90e8\u5206\u3002\u56e0\u6b64\uff0c\u5927\u79b9\u667a\u82af\u4e13\u6ce8\u5728\u5206\u5e03\u5f0f\u8bad\u7ec3\u4e2d\u4f18\u5316 I\/O \u90e8\u5206\uff0c\u5229\u7528\u6838\u5fc3\u7f51\u7edc\u6280\u672f\u80fd\u529b\u6765\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n<p>\u201c\u5728\u7b97\u529b\u4f18\u5316\u65b9\u9762\uff0c\u6211\u4eec\u6709\u51e0\u4e2a\u6838\u5fc3\u6280\u672f:\u9996\u5148\u662f\u6211\u4eec\u652f\u6301\u9ad8\u5ea6\u7075\u6d3b\u4e14\u53ef\u7f16\u7a0b\u7684\u786c\u4ef6\u96f6\u62e5\u585e\u63a7\u5236\u6280\u672f\uff0c\u7528\u4e8e\u53d6\u4ee3\u4f20\u7edf\u4ee5\u592a\u7f51\u4e0a\u7684 RoCE v2\u534f\u8bae\u3002\u4f20\u7edf\u534f\u8bae\u5728\u6d41\u91cf\u63a7\u5236\u65b9\u9762\u6bd4\u8f83\u7b80\u5355\u5355\u4e00\uff0c\u5b58\u5728\u4e00\u4e9b\u95ee\u9898\u3002\u6211\u4eec\u7684\u6280\u672f\u63d0\u4f9b\u4e86\u66f4\u7075\u6d3b\u548c\u53ef\u7f16\u7a0b\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u89e3\u51b3\u4e86\u8fd9\u4e9b\u95ee\u9898\u3002\u7b2c\u4e8c\uff0c\u6211\u4eec\u652f\u6301\u8d85\u4f4e\u5ef6\u8fdf\u7279\u6027\u3002\u7b2c\u4e09\uff0c\u6211\u4eec\u652f\u6301\u7528\u4e8e\u5206\u5e03\u5f0f\u8bad\u7ec3\u4e2d\u7684 MPI \u6d88\u606f\u4f20\u9012\u8fd9\u79cd\u96c6\u4f53\u901a\u4fe1\u3002\u901a\u8fc7\u5bf9\u5404\u4e2a\u7ef4\u5ea6\u8fdb\u884c\u5927\u91cf\u786c\u4ef6\u4f18\u5316\uff0c\u5e76\u7ed3\u5408 RDMA \u548c MPI\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u5b9e\u73b0\u4e0e InfiniBand \u76f8\u5f53\u7684\u6027\u80fd\u3002\u8fd9\u4e9b\u662f\u6211\u4eec\u5728\u4ece\u5355\u673a\u5355\u5361\u5230\u5206\u5e03\u5f0f\u8bad\u7ec3\u7684\u8fc7\u7a0b\u4e2d\u8fdb\u884c\u7684\u7b97\u529b\u7f51\u7edc\u4f18\u5316\u5de5\u4f5c\u3002\u201d\u848b\u6653\u7ef4\u4ecb\u7ecd\u9053\u3002<\/p>\n<p>\u636e\u4e86\u89e3\uff0c\u76ee\u524d\u5728\u6784\u5efa GPU \u7b97\u529b\u7f51\u7edc\u65b9\u9762\uff0c\u5927\u591a\u6570\u516c\u53f8\u4ecd\u9009\u62e9\u4f7f\u7528 InfiniBand \u7f51\u5361\u548c\u4ea4\u6362\u673a\uff0c\u5176\u4e2d\u4e3b\u8981\u4f7f\u7528\u4e24\u79cd\u6838\u5fc3\u6280\u672f:\u4e00\u79cd\u662f RDMA\uff08\u8fdc\u7a0b\u76f4\u63a5\u5185\u5b58\u8bbf\u95ee\uff09 \u6280\u672f\uff0c\u901a\u8fc7 GPUDirect RDMA \u6765\u6d88\u9664 CPU \u5728 I\/O \u5c42\u9762\u4e0a\u7684\u63a7\u5236\u89d2\u8272\uff0c\u4ece\u800c\u964d\u4f4e\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7684 I\/O \u6d88\u8017\u3002\u53e6\u4e00\u79cd\u6280\u672f\u662f SHARP(Scalable Hierarchical Aggregation and Reduction Protocol)\uff0c\u8fd9\u4e5f\u662f Mellanox \u7684\u6838\u5fc3\u6280\u672f\uff0c\u901a\u8fc7 SHARP \u6280\u672f\u6765\u51cf\u5c11\u5728\u5206\u5e03\u5f0f\u7b97\u529b\u8fc7\u7a0b\u4e2d\u5bf9\u7f51\u7edc\u5e26\u5bbd\u7684\u6d88\u8017\u3002<\/p>\n<p>\u76ee\u524d\uff0c\u5927\u591a\u6570\u516c\u53f8\u5728\u6784\u5efa\u7b97\u529b\u7f51\u7edc\u65f6\u4ecd\u57fa\u4e8e\u82f1\u4f1f\u8fbe\u7684\u89e3\u51b3\u65b9\u6848\u3002\u7136\u800c\uff0c\u4e00\u4e9b\u5934\u90e8\u4e92\u8054\u7f51\u516c\u53f8\u5df2\u7ecf\u5f00\u59cb\u5728\u4ee5\u592a\u7f51\u4e0a\u6784\u5efa GPU \u7b97\u529b\u7f51\u7edc\uff0c\u4e0d\u518d\u5b8c\u5168\u4f9d\u8d56 InfiniBand \u7f51\u7edc\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u4e00\u4e2a\u6838\u5fc3\u95ee\u9898\u662f\u627e\u5230\u4e00\u4e2a\u80fd\u591f\u5b8c\u5168\u66ff\u4ee3 InfiniBand \u4e0a RDMA \u7684\u6280\u672f\u3002<\/p>\n<p>\u82f1\u4f1f\u8fbe\u9664\u4e86\u5728 InfiniBand \u4e0a\u6709 RDMA \u6280\u672f\u4e4b\u5916\uff0c\u4e5f\u6709\u4ee5\u592a\u7f51\u4e0a\u7684 RDMA \u6280\u672f\uff0c\u79f0\u4e3a RoCE v2\u3002\u7136\u800c\uff0c\u5728\u8bb8\u591a\u5934\u90e8\u4e92\u8054\u7f51\u516c\u53f8\u5e94\u7528\u4e2d\uff0c\u8fd9\u79cd\u6280\u672f\u4ecd\u7136\u5b58\u5728\u4e00\u4e9b\u95ee\u9898\uff0c\u6240\u4ee5\u56fd\u9645\u56fd\u5185\u4e00\u4e9b\u5934\u90e8\u4e92\u8054\u7f51\u516c\u53f8\u5df2\u7ecf\u5f00\u59cb\u7814\u53d1\u81ea\u5df1\u7684\u6280\u672f\uff0c\u7528\u4ee5\u53d6\u4ee3 RoCE v2\u4ee5\u592a\u7f51\u4e0a\u7684 RDMA\uff0c\u5e76\u901a\u8fc7\u81ea\u7814\u7684\u65b9\u5f0f\u5b9e\u73b0\u66f4\u53ef\u9760\u7684\u8fd0\u884c\u3002\u4ed6\u4eec\u80fd\u591f\u5728\u6709\u4e22\u5305\u7684\u7f51\u7edc\u73af\u5883\u4e2d\u7a33\u5b9a\u5730\u8fd0\u884c RDMA\uff0c\u5e76\u5c06\u8fd9\u9879\u6280\u672f\u5e94\u7528\u4e8e GPU \u8bad\u7ec3\u96c6\u7fa4\u4e2d\uff0c\u8fd9\u662f\u4e00\u4e9b\u884c\u4e1a\u5185\u9886\u5148\u516c\u53f8\u5177\u5907\u7684\u6838\u5fc3\u80fd\u529b\u3002<\/p>\n<p>\u201c\u5bf9\u4e8e\u5927\u79b9\u667a\u82af\u6765\u8bf4\uff0c\u6211\u4eec\u7684\u5de5\u4f5c\u5b8c\u5168\u57fa\u4e8e\u8fd9\u4e9b\u5934\u90e8\u516c\u53f8\u7684\u5b9e\u8df5\u548c\u6280\u672f\u8d8b\u52bf\u3002\u6211\u4eec\u4e5f\u5728\u81f4\u529b\u4e8e\u5f00\u53d1\u7c7b\u4f3c\u7684\u4ea7\u54c1\uff0c\u56e0\u4e3a\u6211\u4eec\u76f8\u4fe1\u8fd9\u4e9b\u5934\u90e8\u516c\u53f8\u7684\u6838\u5fc3\u6280\u672f\u5f80\u5f80\u53ea\u5c40\u9650\u4e8e\u4ed6\u4eec\u81ea\u8eab\u7684\u90e8\u7f72\u3002\u4f46\u662f\uff0c\u6211\u4eec\u8ba4\u4e3a\u66f4\u5e7f\u6cdb\u7684\u516c\u53f8\u53ef\u80fd\u5e76\u4e0d\u5177\u5907\u8fd9\u6837\u7684\u80fd\u529b\u3002\u50cf\u5927\u79b9\u667a\u82af\u8fd9\u6837\u7684\u7b2c\u4e09\u65b9\u82af\u7247\u516c\u53f8\u7684\u4ef7\u503c\u5c31\u5728\u4e8e\u901a\u8fc7\u901a\u7528\u5316\u7684\u6280\u672f\uff0c\u4e3a\u66f4\u5e7f\u6cdb\u7684\u573a\u666f\u63d0\u4f9b\u652f\u6301\uff0c\u5e76\u901a\u8fc7\u66f4\u666e\u9002\u7684\u65b9\u5f0f\u5c06\u8fd9\u4e9b\u6280\u672f\u843d\u5730\u3002\u201d\u848b\u6653\u7ef4\u8bf4\u9053\u3002<\/p>\n<p>3\u5199\u5728<span class=\"spamTxt\">\u6700\u540e<\/span>:\u8f6f\u4ef6\u7b97\u6cd5\u8bbe\u8ba1\u7684\u591a\u6837\u5316\u4ea6\u662f\u5173\u952e<\/p>\n<p>\u5728\u5206\u5e03\u5f0f\u7b97\u529b\u6784\u5efa\u65b9\u9762\uff0c\u848b\u6653\u7ef4\u8ba4\u4e3a\uff0c\u6784\u5efa\u5206\u5e03\u5f0f\u7b97\u529b\u7f51\u7edc\u9700\u8981\u4e0e\u82af\u7247\u9886\u57df\u7d27\u5bc6\u7ed3\u5408\uff0c\u5e76\u4e14\u5728\u6bcf\u4e2a\u5355\u5143\u4e0a\u90fd\u9700\u8981\u5e94\u7528\u5148\u8fdb\u7684\u5236\u7a0b\u6280\u672f\uff0c\u4ee5\u652f\u6301<span class=\"spamTxt\">\u6700\u5927<\/span>\u89c4\u6a21\u7684\u5e26\u5bbd\u3002\u672a\u6765\uff0c\u9700\u8981\u91cd\u70b9\u8003\u8651\u4e24\u65b9\u9762:<\/p>\n<ul>\n<li>\n<p>\u9996\u5148\u662f\u82af\u7247\u4ea7\u4e1a\u7684\u53d1\u5c55\u3002\u8fd9\u6d89\u53ca\u5230\u5404\u79cd\u82af\u7247 IP\uff0c\u4f8b\u5982 SerDes\u3001PCIE \u63a7\u5236\u5668\u7b49\u6838\u5fc3 IP\uff0c\u8fd8\u6709 EDA \u5de5\u5177\u548c\u5148\u8fdb\u5236\u7a0b\u6280\u672f\u3002\u8fd9\u4e9b\u90fd\u662f\u6784\u5efa\u5404\u79cd\u7b97\u529b\u7684\u57fa\u672c\u5355\u5143\u80fd\u529b\u3002<\/p>\n<\/li>\n<li>\n<p>\u5176\u6b21\u662f\u56fd\u5185\u7684\u5404\u79cd xPU \u516c\u53f8\u3002\u76ee\u524d\uff0c\u56fd\u5185\u7684 xPU \u516c\u53f8\u4ecd\u5904\u4e8e\u65e9\u671f\u9636\u6bb5\uff0c\u5404\u81ea\u4e3a\u653f\uff0c\u53d1\u5c55\u8fd8\u6bd4\u8f83\u96f6\u6563\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u201c\u5728\u56fd\u5185\uff0c\u8981\u5728\u76f8\u5bf9\u8f83\u77ed\u7684\u65f6\u95f4\u5185\u96c6\u5408\u6574\u4e2a\u4ea7\u4e1a\u7684\u529b\u91cf\u5171\u540c\u5b9e\u73b0\u76ee\u6807\uff0c\u800c\u4e0d\u662f\u901a\u8fc7\u4e00\u5bb6\u516c\u53f8\u9010\u6b65\u53d1\u5c55\u5404\u4e2a\u9886\u57df\u7684\u80fd\u529b\uff0c\u53ef\u80fd\u9700\u8981\u91c7\u53d6\u67d0\u79cd\u65b9\u5f0f\u6765\u7ed3\u5408\u4ea7\u4e1a\u529b\u91cf\u5171\u540c\u5b9e\u73b0\u76ee\u6807\u3002\u5728\u8fd9\u65b9\u9762\uff0c\u6211\u8ba4\u4e3a\u6709\u4e00\u4e2a\u5173\u952e\u6280\u672f\u662f\u82af\u7247\u9886\u57df\u7684\u82af\u7247\u6a21\u5757\u5316\uff08Chiplet\uff09\u6280\u672f\uff0c\u8fd9\u662f\u4e00\u9879\u975e\u5e38\u6709\u6f5c\u529b\u7684\u6280\u672f\u3002\u901a\u8fc7\u82af\u7247\u6a21\u5757\u5316\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6210\u672c\u8f83\u4f4e\u7684\u5c01\u88c5\u6280\u672f\u5c06\u4e0d\u540c\u7684\u82af\u7247\u6a21\u5757\u96c6\u6210\u5728\u4e00\u9897\u82af\u7247\u4e0a\uff0c\u4ece\u800c\u5b9e\u73b0\u8ba9\u6bcf\u4e2a\u9886\u57df\u7684\u4e13\u4e1a\u516c\u53f8\u4e13\u6ce8\u4e8e\u5176\u64c5\u957f\u7684\u4e8b\u60c5\u3002\u53e6\u5916\uff0c\u82af\u7247\u6a21\u5757\u5316\u672c\u8eab\u8fd8\u662f\u4e00\u4e2a\u76f8\u5bf9\u8f83\u65b0\u7684\u6982\u5ff5\uff0c\u4f8b\u5982\u82af\u7247\u6a21\u5757\u5316\u7684\u6807\u51c6\u5316\u7ec4\u7ec7 UCIe \u4e5f\u521a\u521a\u6210\u7acb\u4e0d\u4e45\u3002\u56e0\u6b64\uff0c\u5728\u8fd9\u4e2a\u9886\u57df\uff0c\u56fd\u5185\u4e0e\u56fd\u5916\u4e4b\u95f4\u80af\u5b9a\u5b58\u5728\u5dee\u8ddd\uff0c\u4f46\u5dee\u8ddd\u5e76\u4e0d\u662f\u7279\u522b\u5927\uff0c\u4ecd\u7136\u6709\u8fce\u5934\u8d76\u4e0a\u7684\u673a\u4f1a\u3002\u201d\u848b\u6653\u7ef4\u603b\u7ed3\u9053\u3002<\/p>\n<p>\u5c55\u671b\u672a\u6765\uff0c\u6234\u91d1\u6743\u5e0c\u671b\u53ef\u4ee5\u505a\u5230\u201cAI \u65e0\u6240\u4e0d\u5728\u201d\uff0c\u4e0d\u7ba1\u662f\u5728\u672c\u5730\u7aef\u3001\u4e91\u7aef\u8fd8\u662f\u8fb9\u7f18\u7aef\u3002\u4ece\u8fd9\u4e2a\u89d2\u5ea6\u6765\u770b\uff0c\u4ece\u5c0f\u5c3a\u5bf8\u8bbe\u5907\u6269\u5c55\u5230\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u5fc3\u7684 XPU \u67b6\u6784\uff0c\u662f\u4e00\u4e2a\u975e\u5e38\u91cd\u8981\u7684\u3001\u4e14\u80fd\u591f\u652f\u6301\u672a\u6765 AIGC \u6280\u672f\u65e0\u6240\u4e0d\u5728\u7684\u9700\u6c42\u7684\u8d8b\u52bf\u3002\u4ece\u8f6f\u4ef6\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u73b0\u5728\u7684\u5927\u6a21\u578b\u57fa\u672c\u4e0a\u662f\u4ee5 Transformer \u67b6\u6784\u4f5c\u4e3a\u57fa\u7840\u6784\u4ef6\uff0c\u76ee\u524d\u4e1a\u754c\u6b63\u5728\u505a\u5927\u91cf\u7684\u7814\u7a76\u5de5\u4f5c\uff0c\u63a2\u7d22 Transformer \u67b6\u6784\u5bf9\u5185\u5b58\u7684\u9700\u6c42\uff0c\u5305\u62ec\u5185\u5b58\u5e26\u5bbd\u3001\u5185\u5b58\u5bb9\u91cf\u4ee5\u53ca\u8ba1\u7b97\u9700\u6c42\u5982\u4f55\u8fdb\u884c\u66f4\u597d\u7684\u52a0\u901f\u3002\u4ece\u53d1\u5c55\u7684\u773c\u5149\u6765\u770b\uff0c\u81f3\u5c11 Transformer \u8fd9\u6837\u7684\u5927\u6a21\u578b\u53ef\u80fd\u4f1a\u6709\u66f4\u5927\u7684\u5c3a\u5bf8\uff0c\u5305\u62ec\u8f93\u5165\u4e0a\u4e0b\u6587\u7684\u6269\u5c55\uff0c\u5c06\u6765\u53ef\u80fd\u662f\u4eca\u5929\u7684\u51e0\u500d\u3001\u51e0\u5341\u500d\u751a\u81f3\u66f4\u9ad8\u3002\u8fd9\u5fc5\u7136\u4f1a\u5bf9\u8f6f\u4ef6\u7b97\u6cd5\u7684\u8bbe\u8ba1\uff0c\u6bd4\u5982\u4f4e\u7cbe\u5ea6\u3001\u4f4e\u6bd4\u7279\u3001\u538b\u7f29\u3001\u7a00\u758f\u5316\uff0c\u5305\u62ec\u6ce8\u610f\u529b\u673a\u5236\u8bbe\u8ba1\u7b49\u6709\u4e0d\u540c\u7684\u9700\u6c42\u3002<\/p>\n<p>\u201c\u6240\u4ee5\uff0c<strong>\u8f6f\u4ef6\u7b97\u6cd5\u8bbe\u8ba1\u7684\u591a\u6837\u5316\uff0c\u662f\u6211\u4eec\u8ba4\u4e3a\u672a\u6765\u6709\u52a9\u4e8e\u6ee1\u8db3 AIGC 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