{"id":5714,"date":"2022-06-20T09:35:15","date_gmt":"2022-06-20T01:35:15","guid":{"rendered":"http:\/\/www.saiia.org.cn\/?p=5714"},"modified":"2022-06-20T09:35:46","modified_gmt":"2022-06-20T01:35:46","slug":"7676567","status":"publish","type":"post","link":"https:\/\/www.saiia.org.cn\/index.php\/2022\/06\/20\/7676567\/","title":{"rendered":"\u8bba\u8f6f\u4ef6\u5b9a\u4e49GPU\u5bf9AI\u6570\u636e\u4e2d\u5fc3\u4f18\u5316\u7684\u5fc5\u8981\u6027"},"content":{"rendered":"

\u6458\u8981\uff1a<\/strong><\/h1>\n

\u4eca\u5929AI\u6570\u636e\u4e2d\u5fc3\u4e3a\u4f01\u4e1a\u63d0\u4f9b\u4e86\u6df1\u5ea6\u5b66\u4e60\u5f00\u53d1\u3001\u6d4b\u8bd5\u548c\u751f\u4ea7\u6240\u9700\u7684\u8f6f\u786c\u4ef6\u73af\u5883\u3002\u7136\u800c\uff0cGPU\u4f5c\u4e3a\u9ad8\u4ef7\u503c\u786c\u4ef6\uff0c\u5374\u5e76\u6ca1\u6709\u505a\u5230\u50cfSDN\u7f51\u7edc\u3001\u5206\u5e03\u5f0f\u5b58\u50a8\u4e00\u6837\u7684\u6570\u636e\u4e2d\u5fc3\u7ea7\u7edf\u4e00\u8fd0\u7ef4\u3001\u7ba1\u7406\u548c\u4f7f\u7528\u3002\u8fd9\u5bfc\u81f4\u4e86GPU\u5f53\u524d\u5728\u6570\u636e\u4e2d\u5fc3\u7684\u5c34\u5c2c\u73b0\u72b6\uff1a\u5229\u7528\u7387\u4f4e\u3001\u6210\u672c\u9ad8\u3001\u5206\u914d\u548c\u7ba1\u7406\u56f0\u96be\u3002<\/strong><\/p>\n

\u5f7b\u5e95\u89e3\u51b3\u8fd9\u4e9b\u75db\u70b9\u7684\u65b9\u6cd5\u9700\u8981\u501f\u9274\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u89e3\u51b3\u5b58\u50a8\u95ee\u9898\u3001\u8f6f\u4ef6\u5b9a\u4e49\u7f51\u7edc\u89e3\u51b3\u7f51\u7edc\u95ee\u9898\u3001\u7528\u8f6f\u4ef6\u5b9a\u4e49\u7b97\u529b\u6765\u89e3\u51b3GPU\u95ee\u9898\u3002\u91c7\u7528\u8f6f\u4ef6\u5b9a\u4e49\u7b97\u529b\u7406\u5ff5\u7684GPU\u6c60\u5316\u6280\u672f\uff0c\u7ad9\u5728\u6574\u4e2a\u6570\u636e\u4e2d\u5fc3\u7684\u9ad8\u5ea6\uff0c\u4ee5GPU\u865a\u62df\u5316\u4e3a\u57fa\u7840\uff0c\u7a81\u7834\u4e86\u4f20\u7edfGPU\u865a\u62df\u5316\u6280\u672f\u53ea\u80fd\u652f\u6301GPU\u5171\u4eab\u7684\u9650\u5236\uff0c\u878d\u5408\u4e86GPU\u5171\u4eab\u3001\u805a\u5408\u548c\u8fdc\u7a0b<\/strong>\u4f7f\u7528<\/strong>\u7b49\u591a\u79cd\u786c\u6838\u80fd\u529b\uff0c\u6253\u9020\u5168\u80fd\u578b\u8f6f\u4ef6\u5b9a\u4e49GPU\u3002\u901a\u8fc7\u628a\u7269\u7406GPU\u62bd\u8c61\u6210\u7c7b\u4f3c\u4e8e\u5206\u5e03\u5f0f\u5b58\u50a8\uff0c\u53ef\u4ee5\u901a\u8fc7\u7f51\u7edc\u5728\u6570\u636e\u4e2d\u5fc3\u5185\u5168\u5c40\u7edf\u4e00\u8fd0\u7ef4\u548c\u7ba1\u7406\u3001\u4efb\u610f\u4f7f\u7528\u7684\u62bd\u8c61\u8d44\u6e90\uff0cGPU\u6c60\u5316\u6280\u672f\u89e3\u51b3\u4e86\u5f53\u524d\u7528\u6237\u7684\u75db\u70b9\u3002\u6b63\u5982\u5f53\u5e74\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u521a\u51fa\u73b0\u7684\u65f6\u5019\uff0c\u6709\u4e00\u79cd\u89c2\u70b9\u8ba4\u4e3a\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u6027\u80fd\u4e0d\u5982\u786c\u4ef6\u5b58\u50a8\uff0c\u4e0d\u9002\u5408\u91cd\u8981\u5e94\u7528\uff0cGPU\u6c60\u5316\u6280\u672f\u63a8\u52a8\u7684\u8f6f\u4ef6\u5b9a\u4e49GPU\u4e5f\u906d\u9047\u4e86\u540c\u6837\u7684\u8ba4\u8bc6\u8bef\u533a\uff0c\u4e00\u4e9b\u7247\u9762\u7684\u89c2\u70b9\u8ba4\u4e3aGPU\u6c60\u5316\u6280\u672f\u4f1a\u5f15\u5165\u6027\u80fd\u635f\u5931\uff0c\u4e0d\u9002\u5408\u4e8e\u6df1\u5ea6\u5b66\u4e60\u3002\u4ece\u6280\u672f\u7684\u53d1\u5c55\u6765\u770b\uff0c\u6df1\u5ea6\u5b66\u4e60\u80fd\u591f\u3001\u4e5f\u5e94\u8be5\u62e5\u62b1GPU\u6c60\u5316\u6280\u672f\uff0c\u4e8c\u8005\u5e94\u4e92\u76f8\u914d\u5408\uff0c\u624d\u80fd\u4e3a\u7528\u6237\u63d0\u4f9b\u66f4\u9002\u5408\u4e91\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

\u25cb\u25cb\u25cb\u25cf<\/p>\n

\u968f\u7740\u6df1\u5ea6\u5b66\u4e60\u5982\u706b\u5982\u837c\u5730\u5728\u5404\u4f01\u4e1a\u7684\u843d\u5730\uff0c\u5f88\u591a\u4f01\u4e1a\u90fd\u901a\u8fc7\u81ea\u5efa\u79c1\u6709\u4e91\u6216\u8005\u4f7f\u7528\u516c\u6709\u4e91\u7684\u6a21\u5f0f\uff0c\u62e5\u6709\u4e86\u81ea\u5df1\u7684AI\u6570\u636e\u4e2d\u5fc3\uff0c\u5bf9\u5185\u6216\u5bf9\u5916\u63d0\u4f9b\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u53d1\u3001\u6d4b\u8bd5\u548c\u751f\u4ea7\u73af\u5883\u3002\u5728AI\u6570\u636e\u4e2d\u5fc3\u91cc\uff0c\u7b97\u529b\u901a\u5e38\u7531GPU\u7b49\u52a0\u901f\u82af\u7247\u6765\u63d0\u4f9b\u3002\u7531\u4e8eGPU\u6210\u672c\u5f88\u9ad8\uff0c\u5e26GPU\u7684\u8ba1\u7b97\u8d44\u6e90\u548c\u4e0d\u5e26GPU\u7684\u8ba1\u7b97\u8d44\u6e90\u7684\u6210\u672c\u76f8\u5dee\u5f88\u5927\uff0c\u56e0\u6b64\u5982\u4f55\u4f18\u5316\u4e00\u4e2aAI\u6570\u636e\u4e2d\u5fc3\u7684\u8fd0\u8425\u662f\u5404\u4e2a\u4f01\u4e1a\u7684\u57fa\u7840\u67b6\u6784\u90e8\u95e8\u3001\u5e73\u53f0\u90e8\u95e8\u548c\u5e94\u7528\u90e8\u95e8\u7279\u522b\u5173\u5fc3\u7684\u8bdd\u9898\u3002<\/p>\n

\u4f18\u5316\u4e00\u4e2a\u6570\u636e\u4e2d\u5fc3\uff0c\u9996\u5148\u770b\u7ec4\u6210\u73b0\u4ee3\u8ba1\u7b97\u673a\u7cfb\u7edf\u7684\u4e09\u5927\u4ef6\uff1a\u8ba1\u7b97\u3001\u7f51\u7edc\u548c\u5b58\u50a8<\/strong>\u3002\u73b0\u4ee3\u7684\u6570\u636e\u4e2d\u5fc3\u8fd0\u8425\u7528\u8f6f\u4ef6\u5b9a\u4e49\u7f51\u7edc\uff08SDN\uff09\u505a\u7f51\u7edc\u8d44\u6e90\u62bd\u8c61\uff0c\u7528\u5206\u5e03\u5f0f\u5b58\u50a8\u505a\u5b58\u50a8\u8d44\u6e90\u62bd\u8c61\u3002\u8fd9\u4e9b\u4eca\u5929\u770b\u8d77\u6765\u987a\u7406\u6210\u7ae0\u7684\u6280\u672f\uff0c\u4e5f\u66fe\u7ecf\u5386\u865a\u62df\u7f51\u7edc\u4e0d\u5982\u7269\u7406\u7f51\u7edc\u6027\u80fd\u9ad8\u6296\u52a8\u5c0f\uff0c\u5206\u5e03\u5f0f\u5b58\u50a8\u4e0d\u5982\u672c\u5730\u5b58\u50a8\u6027\u80fd\u597d\u5ef6\u8fdf\u4f4e\u4e14\u8fd8\u6d6a\u8d39\u7f51\u7edc\u5e26\u5bbd\u7684\u8d28\u7591\u3002\u76f4\u5230\u4eca\u5929\u8fd9\u4e9b\u7ecf\u8fc7\u62bd\u8c61\u540e\u7684\u8d44\u6e90\u6027\u80fd\u4ecd\u7136\u4e0d\u5982\u76f4\u63a5\u4f7f\u7528\u7269\u7406\u786c\u4ef6\uff0c\u4f46\u662f\u6700\u540e\u5176\u5f81\u670d\u6574\u4e2a\u4e1a\u754c\u7684\u672c\u8d28\u539f\u56e0\u5c31\u662f\u8d44\u6e90\u7684\u5168\u5c40\u7edf\u4e00\u8fd0\u7ef4\u3001\u7ba1\u7406\u548c\u4f7f\u7528\u3002\u201c\u8ba1\u7b97\u201c\u4f5c\u4e3a\u4e09\u5927\u4ef6\u4e4b\u4e00\u4e5f\u4e0d\u4f8b\u5916\u3002\u7279\u5b9a\u5730\uff0c\u5bf9\u4e8e\u670d\u52a1\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684AI\u6570\u636e\u4e2d\u5fc3\uff0c\u201c\u8ba1\u7b97\u201d\u66f4\u591a\u5730\u662f\u56f4\u7ed5\u7740GPU\u3002\u5bf9<\/strong>GPU<\/strong>\u8d44\u6e90\u505a\u6570\u636e\u4e2d\u5fc3\u8303\u56f4\u5185\u7684\u8d44\u6e90\u62bd\u8c61\uff0c\u4f7f\u5176\u6210\u4e3a\u548c<\/strong>SDN<\/strong>\u7f51\u7edc\u3001\u5206\u5e03\u5f0f\u5b58\u50a8\u4e00\u6837\u7684\u5168\u5c40\u7edf\u4e00\u8fd0\u7ef4\u3001\u7ba1\u7406\u548c\u4f7f\u7528\u7684\u8d44\u6e90\uff0c\u662f\u4f18\u5316<\/strong>AI<\/strong>\u6570\u636e\u4e2d\u5fc3\u7684\u5fc5\u7136\u601d\u8def\uff0c\u4e5f\u662f\u884c\u4e4b\u6709\u6548\u7684\u65b9\u6cd5\u3002<\/strong><\/p>\n

AI\u6570\u636e\u4e2d\u5fc3\u7684\u75db\u70b9<\/strong><\/h2>\n

\u8d8b\u52a8\u79d1\u6280\u5df2\u7ecf\u670d\u52a1\u4e8e\u4e92\u8054\u7f51\u3001\u91d1\u878d\u3001\u6559\u80b2\u3001\u7535\u4fe1\u3001\u4ea4\u901a\u8fd0\u8f93\u7b49\u591a\u4e2a\u884c\u4e1a\u7684\u5934\u90e8\u5ba2\u6237\u3002\u4e0b\u9762\u662f\u6211\u4eec\u770b\u5230\u7684\u5f88\u591a\u5ba2\u6237\u5728\u8fd0\u8425AI\u6570\u636e\u4e2d\u5fc3\u4e2d\u9047\u5230\u7684\u75db\u70b9\uff1a<\/p>\n

1\uff09\u00a0\u00a0GPU<\/strong>\u8d44\u6e90\u9759\u6001\u5206\u914d\u3002<\/strong>\u5404\u4e2a\u5c0f\u7ec4\/\u90e8\u95e8\u4f7f\u7528GPU\u7684\u8d1f\u8f7d\u5dee\u5f02\u975e\u5e38\u5927\uff0c\u4f46\u662f\u7531\u4e8e\u5e94\u7528\u5206\u7ba1\u3001\u7ec4\u7ec7\u67b6\u6784\u7b49\u7684\u539f\u56e0GPU\u8d44\u6e90\u65e0\u6cd5\u8f7b\u6613\u5728\u90e8\u95e8\u4e4b\u95f4\u6d41\u52a8\uff0c\u9020\u6210GPU\u8d44\u6e90\u65e0\u6cd5\u88ab\u9ad8\u6548\u5229\u7528\u3002<\/p>\n

2\uff09\u00a0\u00a0\u5f00\u53d1\u573a\u666f<\/strong>GPU<\/strong>\u5229\u7528\u975e\u5e38\u4f4e\u3002<\/strong>\u5728\u5f00\u53d1\u7684\u8fc7\u7a0b\u4e2d\uff0c\u7a0b\u5e8f\u5458\u53ef\u80fd\u5728\u5199\u4ee3\u7801\uff0c\u53ef\u80fd\u5728\u8c03\u8bd5bug\uff0c\u751a\u81f3\u53ef\u80fd\u7a7a\u95f2\u4e86\u53bb\u5e72\u522b\u7684\u4e8b\u60c5\u3002\u8fd9\u65f6\u5019GPU\u8d44\u6e90\u5927\u90e8\u5206\u5904\u4e8e\u7a7a\u95f2\uff0c\u4f46\u662f\u4f20\u7edf\u72ec\u5360GPU\u8d44\u6e90\u7684\u6a21\u5f0f\u4f7f\u5f97GPU\u8d44\u6e90\u65e0\u6cd5\u7ed9\u522b\u4eba\u4f7f\u7528\u3002\u800c\u5f00\u53d1\u4eba\u5458\u5e76\u6ca1\u6709\u4e3b\u52a8\u91ca\u653e\u8d44\u6e90\u7684\u52a8\u529b\u3002<\/p>\n

3\uff09\u00a0\u00a0\u5f00\u53d1\u573a\u666f<\/strong>GPU<\/strong>\u4f7f\u7528\u4f53\u9a8c\u5dee\u3002<\/strong>\u6709\u90e8\u5206\u4f01\u4e1a\u901a\u8fc7\u4efb\u52a1\u63d0\u4ea4\u7cfb\u7edf\u4e00\u5b9a\u7a0b\u5ea6\u89e3\u51b3\u5f00\u53d1\u573a\u666fGPU\u5229\u7528\u4f4e\u7684\u95ee\u9898\u3002\u4f46\u662f\u8fd9\u79cd\u6a21\u5f0f\u4e0b\u5f00\u53d1\u4eba\u5458\u7684\u4f53\u9a8c\u5dee\uff0c\u4ed6\u4eec\u9700\u8981\u4fdd\u5b58\u73af\u5883\u3001\u6253\u5305\u955c\u50cf\u3001\u63d0\u4ea4\u4efb\u52a1\u5e76\u4e14\u7b49\u5f85\u5b8c\u6210\u3002\u8fd9\u79cd\u6a21\u5f0f\u4f1a\u6d6a\u8d39\u6bd4GPU\u66f4\u6602\u8d35\u7684\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\u5de5\u7a0b\u5e08\u7684\u65f6\u95f4\u548c\u6ce8\u610f\u529b\u3002\u5982\u679c\u662f\u5728\u8c03\u8bd5bug\uff0c\u8fd9\u79cd\u6a21\u5f0f\u5bf9\u5de5\u7a0b\u5e08\u662f\u4e2a\u5669\u68a6\u3002<\/p>\n

4\uff09\u00a0\u00a0\u4ece\u5e94\u7528\u4fa7\u770b<\/strong>GPU<\/strong>\u8d44\u6e90\u4e0d\u591f\u7528\uff0c\u4ece\u8fd0\u7ef4\u4fa7\u770b<\/strong>GPU<\/strong>\u5229\u7528\u7387\u4f4e\u3002<\/strong>\u72ec\u5360GPU\u7684\u6a21\u5f0f\u4f7f\u5f97\u5b9d\u8d35\u7684GPU\u8d44\u6e90\u5f88\u5feb\u5c31\u88ab\u5404\u79cd\u573a\u666f\u5206\u914d\u51fa\u53bb\u4e86\uff0c\u5e94\u7528\u65b9\u603b\u62b1\u6028GPU\u8d44\u6e90\u4e0d\u591f\uff0c\u4f46\u662f\u5e73\u53f0\u65b9\u770bGPU\u7684\u5229\u7528\u7387\u786e\u5b9e\u4e0d\u9ad8\u3002<\/p>\n

5\uff09\u00a0\u00a0CPU<\/strong>\u3001<\/strong>GPU<\/strong>\u7684\u914d\u6bd4\u56f0\u96be\u3002<\/strong>\u670d\u52a1\u5668\u6309\u6279\u6b21\u91c7\u8d2d\uff0c\u5e73\u53f0\/\u8fd0\u7ef4\u8981\u6c42\u673a\u5668\u7684\u578b\u53f7\u914d\u7f6e\u662f\u76f8\u5bf9\u56fa\u5b9a\u7684\u3002\u4f46\u662f\u5e94\u7528\u7684\u7c7b\u578b\u5374\u591a\u79cd\u591a\u6837\uff0c\u4e14\u672a\u6765\u8fd8\u5728\u4e0d\u65ad\u53d8\u5316\uff0c\u4e0d\u540c\u5e94\u7528\u9700\u8981\u7684CPU\u3001GPU\u914d\u6bd4\u662f\u4e0d\u4e00\u6837\u7684\u3002\u56fa\u5b9a\u7684\u914d\u6bd4\u5bb9\u6613\u9020\u6210\u8d44\u6e90\u7684\u6d6a\u8d39\u3002<\/p>\n

6\uff09\u00a0\u00a0\u540c\u4e00\u4e2a\u4efb\u52a1\u8d1f\u8f7d\u5b58\u5728\u6ce2\u5cf0\u6ce2\u8c37\u3001\u4e0d\u540c\u4efb\u52a1\u8d1f\u8f7d\u5dee\u5f02\u5927<\/strong>\u4e24\u4e2a\u590d\u6742\u7ef4\u5ea6\u4f7f\u5f97GPU\u7684\u5206\u914d\u7279\u522b\u56f0\u96be\uff0c\u96be\u4ee5\u9ad8\u6548\u4f7f\u7528\u3002<\/p>\n

\u4ece\u75db\u70b9\u53ef\u4ee5\u770b\u5230\uff0c\u867d\u7136\u5b9e\u4f53\u4e0a\u662f\u4e00\u4e2a\u6570\u636e\u4e2d\u5fc3\u7684\u8fd0\u8425\uff0c\u4f46\u662f\u4e00\u4e2a\u4f01\u4e1a\u7684\u8fd0\u8425\u8bf4\u5230\u5e95\u662f\u56f4\u7ed5\u7740\u4eba\u3001\u4e1a\u52a1\u548c\u4f01\u4e1a\u5236\u5ea6\u6765\u8fd0\u4f5c\u7684\u3002\u770b\u4e00\u4e2a\u6280\u672f\u5bf9\u4f01\u4e1a\u5e26\u6765\u7684\u4ef7\u503c\uff0c\u6700\u7ec8\u8fd8\u9700\u8981\u4f53\u73b0\u5230\u8fd9\u51e0\u4e2a\u65b9\u9762\u3002\u4ee5\u6570\u636e\u4e2d\u5fc3\u4e91\u5316\u4e3a\u4f8b\uff0c\u4e4b\u6240\u4ee5\u5176\u6210\u4e3a\u6700\u4f73\u7684\u5b9e\u8df5\uff0c\u662f\u56e0\u4e3a\u8be5\u6280\u672f\u5bf9\u91c7\u8d2d\u3001\u8fd0\u7ef4\u3001\u7814\u53d1\u3001\u751f\u4ea7\u3001\u98ce\u63a7\u7b49\u6574\u4e2a\u94fe\u6761\u7684\u4eba\u548c\u90e8\u95e8\u7ec4\u7ec7\u67b6\u6784\u90fd\u4ea7\u751f\u4e86\u6df1\u523b\u7684\u5f71\u54cd\uff1b\u5bf9\u5b89\u5168\u3001\u53ef\u63a7\u3001\u6548\u7387\u7b49\u4e1a\u52a1\u9700\u6c42\u548c\u4f01\u4e1a\u5236\u5ea6\u540c\u6837\u4ea7\u751f\u6df1\u523b\u7684\u5f71\u54cd\u3002<\/p>\n

\u4e0a\u9762\u63d0\u5230\u7684\u75db\u70b9\u5b9e\u9645\u4e0a\u5f88\u597d\u6db5\u76d6\u4e86\u4e00\u4e2a\u4f01\u4e1a\u8fd0\u4f5c\u7684\u591a\u4e2a\u65b9\u9762\u3002\u5206\u6790\u5b8c\u5ba2\u6237\u5b9e\u9645\u4e2d\u9047\u5230\u7684\u75db\u70b9\uff0c\u6211\u4eec\u53d1\u73b0\u4ea7\u751f\u75db\u70b9\u7684\u4e00\u4e2a\u6839\u672c\u539f\u56e0\u5728\u4e8e\uff0c<\/strong>GPU<\/strong>\u8d44\u6e90\u4f5c\u4e3a\u9ad8\u4ef7\u503c\u7684\u786c\u4ef6\u8d44\u6e90\uff0c\u4f46\u5374\u4e0d\u5177\u5907\u50cf<\/strong>SDN<\/strong>\u7f51\u7edc\u3001\u5206\u5e03\u5f0f\u5b58\u50a8\u90a3\u6837\u6570\u636e\u4e2d\u5fc3\u7ea7\u522b\u7684\u7edf\u4e00\u8fd0\u7ef4\u3001\u7ba1\u7406\u548c\u4f7f\u7528\u7684\u4e00\u7b49\u516c\u6c11\u8eab\u4efd<\/strong>\u3002\u56e0\u6b64\u7528\u6237\u8feb\u5207\u9700\u8981\u4e00\u79cd\u6280\u672f\u6765\u6d88\u9664\u8fd9\u79cd\u5dee\u8ddd\u3002<\/p>\n

\u89e3\u51b3\u75db\u70b9\u7684\u65b9\u5411\u2014\u2014GPU\u6c60\u5316\u6280\u672f<\/strong><\/h2>\n

\u5f7b\u5e95\u89e3\u51b3\u8fd9\u4e00\u75db\u70b9\u7684\u65b9\u6cd5\u9700\u8981\u501f\u9274\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u89e3\u51b3\u5b58\u50a8\u95ee\u9898\u3001\u8f6f\u4ef6\u5b9a\u4e49\u7f51\u7edc\u89e3\u51b3\u7f51\u7edc\u95ee\u9898\u3001\u7528\u8f6f\u4ef6\u5b9a\u4e49\u7b97\u529b\u6765\u89e3\u51b3GPU\u95ee\u9898\u3002\u91c7\u7528\u8f6f\u4ef6\u5b9a\u4e49\u7b97\u529b\u7406\u5ff5\u7684GPU\u6c60\u5316\u6280\u672f\uff0c\u7ad9\u5728\u6574\u4e2a\u6570\u636e\u4e2d\u5fc3\u7684\u9ad8\u5ea6\uff0c\u4ee5GPU\u865a\u62df\u5316\u4e3a\u57fa\u7840\uff0c\u7a81\u7834\u4e86\u4f20\u7edfGPU\u865a\u62df\u5316\u6280\u672f\u53ea\u80fd\u652f\u6301GPU\u5171\u4eab\u7684\u9650\u5236\uff0c\u878d\u5408\u4e86GPU\u5171\u4eab\u3001\u805a\u5408\u548c\u8fdc\u7a0b\u4f7f\u7528\u7b49\u591a\u79cd\u786c\u6838\u80fd\u529b\uff0c\u6253\u9020\u5168\u80fd\u578b\u8f6f\u4ef6\u5b9a\u4e49GPU\u3002<\/p>\n

\u8d8b\u52a8\u79d1\u6280\u7684OrionX\u00a0\u4ea7\u54c1\u662f\u4e16\u754c\u8303\u56f4\u9886\u5148\u7684\u6570\u636e\u4e2d\u5fc3\u7ea7GPU\u6c60\u5316\u8f6f\u4ef6\uff0c\u5173\u6ce8\u6df1\u5ea6\u5b66\u4e60\u670d\u52a1\u5728\u4f01\u4e1a\u5185\u7684\u5168\u94fe\u6761\u4f18\u5316\uff0c\u901a\u8fc7\u5148\u8fdb\u7684\u6280\u672f\u89e3\u51b3\u5ba2\u6237\u7684\u5b9e\u9645\u75db\u70b9\u3002<\/p>\n

\"\"<\/p>\n

    \n
  • OrionX\u5e76\u975e\u4e00\u4e2a\u4f20\u7edf\u7684GPU\u865a\u62df\u5316\u8f6f\u4ef6\u3002\u4f20\u7edf\u7684GPU\u865a\u62df\u5316\u53ea\u652f\u6301\u672c\u5730GPU\u5171\u4eab\uff0c\u800cOrionX\u53ef\u4ee5\u628aGPU\u5f53\u4f5c\u50cf\u5206\u5e03\u5f0f\u5b58\u50a8\u90a3\u6837\u4f5c\u4e3a\u5168\u5c40\u7edf\u4e00\u8fd0\u7ef4\u3001\u7ba1\u7406\u548c\u4f7f\u7528\u7684\u62bd\u8c61\u8d44\u6e90\uff0c\u5176\u80fd\u529b\u662f\u4f20\u7edfGPU\u865a\u62df\u5316\u7684\u8d85\u96c6\uff0c\u652f\u6301GPU<\/strong>\u5171\u4eab\u3001\u805a\u5408\u548c\u8fdc\u7a0b<\/strong>\u4f7f\u7528\u7b49\u591a\u9879\u786c\u6838\u6280\u672f\u3002<\/li>\n
  • OrionX\u628a\u7269\u7406GPU\u8d44\u6e90\u62bd\u8c61\u6210\u53ef\u4ee5\u901a\u8fc7\u7f51\u7edc\u5728\u6570\u636e\u4e2d\u5fc3\u5185\u4efb\u610f\u670d\u52a1\u5668\u90fd\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u7684\u901a\u7528\u8d44\u6e90\uff0c\u5bf9\u8f6f\u4ef6\u4fdd\u6301\u8fd1\u4f3c\u4e8e\u7269\u7406GPU\u7684\u517c\u5bb9\u6027\uff0c\u652f\u6301\u5e38\u7528\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff08TensorFlow, PyTorch,PaddlePaddle\u7b49\uff09\uff0c\u652f\u6301\u6df1\u5ea6\u5b66\u4e60\u7684\u8bad\u7ec3\/\u63a8\u7406\/\u672a\u6765\u66f4\u591a\u8ba1\u7b97\u6a21\u5f0f\uff0c\u652f\u6301\u8ffd\u6c42\u6781\u81f4\u6027\u80fd\u7684\u624b\u5199CUDA\u4ee3\u7801\u7684\u5e94\u7528\uff0c\u53ef\u4ee5\u5145\u5206\u5229\u7528\u6210\u719f\u7684\u6df1\u5ea6\u5b66\u4e60\u7684\u751f\u6001\u548c\u793e\u533a\u529b\u91cf\u3002<\/li>\n
  • OrionX\u652f\u6301\u5f00\u53d1\u3001\u6d4b\u8bd5\u3001\u751f\u4ea7\u5404\u4e2a\u73af\u8282\uff0c\u53ef\u4ee5\u9694\u79bb\uff0c\u53ef\u4ee5\u6df7\u5408\u90e8\u7f72\uff0c\u4fdd\u6301\u7edf\u4e00\u4f7f\u7528\u6a21\u5f0f\uff0c\u5e76\u4e14\u652f\u6301\u4e0d\u540c\u73af\u8282\u7684\u4e0d\u540c\u4f18\u5316\u7b56\u7565\u3002<\/li>\n
  • OrionX\u652f\u6301\u672c\u5730\u5171\u4eab<\/strong>\/<\/strong>\u8fdc\u7a0b\u5171\u4eab\u3001\u672c\u5730\u72ec\u5360<\/strong>\/<\/strong>\u8fdc\u7a0b\u72ec\u5360\u3001\u8de8\u7269\u7406\u8282\u70b9\u591a\u5408\u4e00<\/strong>\u5404\u79cd\u7075\u6d3b\u7684\u7528\u6cd5\uff0c\u652f\u6301\u52a8\u6001\u914d\u7f6e\u8d44\u6e90\uff0c\u6bcf\u4e00\u79cd\u529f\u80fd\u90fd\u6709\u5b9e\u9645\u5bf9\u5e94\u7684\u4f7f\u7528\u573a\u666f\u3002<\/li>\n
  • OrionX GPU\u8d44\u6e90\u6c60\u5185\u7684GPU\u7b97\u529b\u5373\u53d6\u5373\u7528\uff0c\u5bf9\u5176\u4ed6\u4e0a\u5c42\u8f6f\u4ef6\u4fdd\u6301\u8d44\u6e90\u7ba1\u7406\u7684\u900f\u660e\u6027\uff0c\u505a\u5230\u8d44\u6e90\u7684\u6709\u6548\u5229\u7528\u3002<\/li>\n
  • OrionX\u5bf9\u5982\u4f55\u63d0\u4f9b\u865a\u62dfGPU\uff0c\u54ea\u4e9b\u5e95\u5c42\u7ec6\u8282\u9700\u8981\u9690\u85cf\uff0c\u54ea\u4e9b\u771f\u5b9e\u53c2\u6570\u9700\u8981\u66b4\u9732\u90fd\u6709\u79d1\u5b66\u7684\u8003\u8651\u548c\u8bbe\u8ba1\uff0c\u5e76\u7559\u6709\u4e30\u5bcc\u7684\u63a5\u53e3\u548c\u914d\u7f6e\uff0c\u5141\u8bb8\u5e73\u53f0\u5c42\u751a\u81f3\u5e94\u7528\u5c42\u505a\u5b9a\u5236\u5316\u548c\u4f18\u5316\uff0c\u751a\u81f3\u4e8c\u6b21\u5f00\u53d1\uff0c\u4f8b\u5982\u4efb\u52a1\u7684\u6392\u961f\u3001\u4f18\u5148\u7ea7\u7684\u5b9a\u4e49\u3001\u4eb2\u548c\u6027\u7b49\uff0c\u751a\u81f3\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u672c\u8eab\u90fd\u53ef\u4ee5\u5229\u7528OrionX GPU\u8d44\u6e90\u6c60\u63d0\u4f9b\u7684\u80fd\u529b\u53bb\u505a\u975e\u5e38\u6709\u7528\u7684\u4f18\u5316\u3002<\/li>\n<\/ul>\n

    OrionX GPU\u6c60\u5316\u8f6f\u4ef6\u7684\u6548\u7387<\/strong><\/h2>\n

    \u6b63\u5982\u5f53\u5e74\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u521a\u51fa\u73b0\u7684\u65f6\u5019\uff0c\u6709\u4e00\u79cd\u89c2\u70b9\u8ba4\u4e3a\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u6027\u80fd\u4e0d\u5982\u786c\u4ef6\u5b58\u50a8\uff0c\u4e0d\u9002\u5408\u91cd\u8981\u5e94\u7528\uff0cGPU<\/strong>\u6c60\u5316\u6280\u672f\u63a8\u52a8\u7684\u8f6f\u4ef6\u5b9a\u4e49\u7b97\u529b\u4e5f\u906d\u9047\u4e86\u540c\u6837\u7684\u8ba4\u8bc6\u8bef\u533a<\/strong>\uff0c\u4e00\u4e9b\u89c2\u70b9\u8ba4\u4e3aGPU\u6c60\u5316\u8f6f\u4ef6\u4f1a\u5f15\u5165\u6027\u80fd\u635f\u5931\uff0c\u4e0d\u9002\u5408\u4e8e\u6df1\u5ea6\u5b66\u4e60\u3002\u9488\u5bf9\u6df1\u5ea6\u5b66\u4e60\u7684\u4e24\u7c7b\u6700\u91cd\u8981\u7684\u4efb\u52a1\u6211\u4eec\u6765\u5206\u6790\u8fd9\u79cd\u89c2\u70b9\u7684\u7247\u9762\u6027\uff1a<\/p>\n

      \n
    • \u8bad\u7ec3\u4efb\u52a1<\/strong><\/li>\n<\/ul>\n

      \u300aCharacterizing Deep Learning Training Workloads on Alibaba-PAI\u300b[1] \u5206\u6790\u4e86\u963f\u91cc\u4e00\u4e2a\u8bad\u7ec3\u96c6\u7fa4\u4e0a\u7684\u8d1f\u8f7d\u7279\u5f81\uff08\u89c1\u4e0b\u56fe\uff09\uff1a\u4ece\u4efb\u52a1\u6570\u91cf\u4e0a\u770b\uff0c\u7ea659%\u7684\u4efb\u52a1\u662f\u5355\u5361\u5c0f\u4efb\u52a1\uff1b\u4eceGPU\u8d44\u6e90\u6d88\u8017\u4e0a\u770b\uff0c\u867d\u713681%\u7684GPU\u662f\u88ab\u5206\u5e03\u5f0f\u8bad\u7ec3\u4efb\u52a1\u5360\u7528\uff08\u5355\u673a\u591a\u5361\u4e5f\u7b97\u5206\u5e03\u5f0f\uff09\uff0c\u4f46\u662f\u8fd9\u5176\u4e2d\u6709\u4e00\u534a\u7684\u8d44\u6e90\u662f\u88ab\u5c0f\u4e8e8\u4e2aGPU\u7684\u4efb\u52a1\u6240\u5360\u7528\uff081\u53f0\u7269\u7406\u670d\u52a1\u5668\u53ef\u6ee1\u8db3\uff09\uff1b\u53ea\u67090.7%\u6570\u91cf\u7684\u4efb\u52a1\u662f\u4f7f\u7528\u8d85\u8fc7128\u4e2aGPU\uff08\u9700\u898116\u53f0\u6216\u66f4\u591a\u7269\u7406\u670d\u52a1\u5668\uff09\u3002<\/p>\n

      \"\"<\/p>\n

      \u8fd9\u4e2a\u5206\u6790\u8868\u660e\uff0c\u8bad\u7ec3\u4efb\u52a1\u662f\u975e\u5e38\u591a\u6837\u5316\u7684\uff0c\u5176\u89c4\u6a21\u6709\u5927\u6709\u5c0f\u3002\u56e0\u6b64\uff0c\u6574\u4e2a\u6570\u636e\u4e2d\u5fc3\u7684\u4f18\u5316\u76ee\u6807\uff0c\u5e94\u8be5\u517c\u987e\u8bad\u7ec3\u4efb\u52a1\u7684\u6574\u4f53\u541e\u5410\u7387\uff0c\u4ee5\u53caGPU\u8d44\u6e90\u7684\u6574\u4f53\u5229\u7528\u7387\u3002\u63d0\u5347\u591a\u4e2a\u8bad\u7ec3\u4efb\u52a1\u7684\u6574\u4f53\u6027\u80fd\uff0c\u800c\u975e\u5f3a\u8c03\u5355\u4e2a\u4efb\u52a1\u7684\u6027\u80fd\uff0c\u662f\u5b9e\u8df5\u4e2d\u5e38\u89c1\u7684\u9009\u62e9\uff0c\u73b0\u5728\u4e1a\u5185\u6709\u975e\u5e38\u591a\u7684\u7814\u7a76\u5de5\u4f5c\u90fd\u56f4\u7ed5\u6b64\u5f00\u5c55\u3002<\/strong><\/p>\n

      \u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u662f\u5f88\u591a\u8bad\u7ec3\u4efb\u52a1\u4f9d\u8d56\u7684\u4e00\u7c7b\u57fa\u7840\u8f6f\u4ef6\uff0c\u5176\u8bbe\u8ba1\u76ee\u6807\u4e4b\u4e00\u662f\u63d0\u5347\u5355\u4e2a\u8bad\u7ec3\u4efb\u52a1\u7684\u6027\u80fd\u3002GPU\u6c60\u5316\u8f6f\u4ef6\u7684\u76ee\u6807\u662f\u901a\u8fc7\u5145\u5206\u5229\u7528\u6570\u636e\u4e2d\u5fc3\u5185\u6240\u6709GPU\u8d44\u6e90\uff0c\u4ece\u800c\u8fbe\u5230\u591a\u4efb\u52a1\u7684\u6574\u4f53\u6700\u4f18\u3002\u8fd9\u4e8c\u8005\u4e0d\u77db\u76fe\u3002\u6846\u67b6\u548c\u6c60\u5316\u8f6f\u4ef6\u53ef\u4ee5\u4e92\u76f8\u914d\u5408\uff0c\u5728\u8fbe\u6210\u591a\u4efb\u52a1\u6574\u4f53\u6700\u4f18\u7684\u60c5\u51b5\u4e0b\uff0c\u5c3d\u91cf\u8ba9\u6bcf\u4e2a\u4efb\u52a1\u7684\u8fd0\u884c\u66f4\u52a0\u4f18\u5316\u3002\u540c\u65f6\uff0cGPU\u6c60\u5316\u8f6f\u4ef6\u53ef\u4ee5\u901a\u8fc7\u6280\u672f\u624b\u6bb5\u5c3d\u91cf\u51cf\u5c11\u81ea\u8eab\u5f15\u5165\u7684\u6027\u80fd\u635f\u5931\u3002\u4f8b\u5982\uff0cOrionX GPU<\/strong>\u6c60\u5316\u8f6f\u4ef6\u5bf9\u4e8e\u5178\u578b\u7684<\/strong>TensorFlow<\/strong>\u3001<\/strong>PyTorch<\/strong>\u8bad\u7ec3\u4efb\u52a1\u53ef\u4ee5\u8fbe\u5230<\/strong>98%<\/strong>\u4ee5\u4e0a\u7684\u6548\u7387\uff0c\u5373\u548c\u7269\u7406<\/strong>GPU<\/strong>\u76f8\u6bd4\u5c0f\u4e8e<\/strong>2%<\/strong>\u7684\u6027\u80fd\u635f\u5931\u3002<\/strong>\u5728\u548c\u6846\u67b6\u505a\u5171\u540c\u4f18\u5316\u7684\u60c5\u51b5\u4e0b\uff0c\u6027\u80fd\u635f\u5931\u8fd8\u80fd\u66f4\u4f4e\u3002<\/p>\n

        \n
      • \u63a8\u7406\u4efb\u52a1<\/strong><\/li>\n<\/ul>\n

        \u548c\u8bad\u7ec3\u4efb\u52a1\u52a8\u8f84\u5c0f\u65f6\u3001\u5929\u3001\u751a\u81f3\u5468\u91cf\u7ea7\u7684\u5b8c\u6210\u65f6\u95f4\u4e0d\u540c\uff0c\u63a8\u7406\u4efb\u52a1\u7684\u5b8c\u6210\u65f6\u95f4\u8981\u4f4e\u5f97\u591a\u3002\u5178\u578b\u7684\u5728\u7ebf\u63a8\u7406\u4e1a\u52a1\uff0c\u7aef\u5230\u7aef\u7684\u5ef6\u8fdf\u9700\u6c42\u4e00\u822c\u5728\u6570\u767e\u6beb\u79d2\u7ea7\u522b\uff0c\u5305\u62ec\u4e86\u5ba2\u6237\u7aef\u5230\u8fd0\u8425\u5546\u7f51\u7edc\u3001\u8fd0\u8425\u5546\u7f51\u7edc\u5230\u6570\u636e\u4e2d\u5fc3\u4ee5\u53ca\u5728\u6570\u636e\u4e2d\u5fc3\u5185\u505a\u5404\u79cd\u5904\u7406\u7684\u65f6\u95f4\u3002\u8fd9\u7c7b\u5b9e\u65f6\u6027\u8981\u6c42\u9ad8\u7684\u63a8\u7406\u4efb\u52a1\uff0c\u9700\u8981GPU\u6c60\u5316\u8f6f\u4ef6\u5f15\u5165\u7684\u989d\u5916\u5ef6\u8fdf\u975e\u5e38\u5c0f\u3002\u4e0b\u9762\u662f\u8d8b\u52a8\u79d1\u6280\u7684OrionX GPU\u6c60\u5316\u8f6f\u4ef6\u5728\u63a8\u7406\u4efb\u52a1\u4e0a\u5f15\u5165\u7684\u989d\u5916\u5ef6\u8fdf\u7684\u6570\u636e\uff1a<\/p>\n

        \"\"<\/p>\n

        \u5373\u4fbf\u5728\u6700\u4e3a\u82db\u523b\u7684\uff0c\u5ef6\u8fdf\u6700\u4f4e\u7684batch size 1\u7684\u63a8\u7406\u6d4b\u8bd5\u4e2d\uff0c\u4f7f\u7528\u672c\u5730\u7269\u7406GPU\u505a\u4e00\u6b21resnet152\u7684\u63a8\u7406\u5ef6\u8fdf\u4e3a\u00a013.3\u00a0\u6beb\u79d2\uff0c\u800c\u4f7f\u7528OrionX GPU\u6c60\u5316\u65b9\u6848\u901a\u8fc7RDMA\u7f51\u7edc\u4f7f\u7528\u8fdc\u7a0b\u865a\u62dfGPU\uff0c\u5ef6\u8fdf\u4e3a14.1\u6beb\u79d2\u3002GPU<\/strong>\u8d44\u6e90\u7ecf\u8fc7<\/strong>OrionX GPU<\/strong>\u6c60\u5316\u4e4b\u540e\uff0c\u5e26\u6765\u7684<\/strong>0.8<\/strong>\u6beb\u79d2\u7684\u989d\u5916\u5ef6\u8fdf\u4ec5\u5360\u6570\u767e\u6beb\u79d2\u7684\u4e1a\u52a1\u8981\u6c42\u4e0d\u8db3<\/strong>1%<\/strong>\u3002\u8fd9\u4e2a\u6570\u636e\u5145\u5206\u8bf4\u660e\u4e86\uff0c\u8d8b\u52a8\u79d1\u6280\u7684OrionXGPU\u6c60\u5316\u8f6f\u4ef6\u5f15\u5165\u7684\u989d\u5916\u5ef6\u8fdf\u975e\u5e38\u5c0f\uff0c\u8db3\u4ee5\u652f\u6301\u9ad8\u5b9e\u65f6\u6027\u7684\u5728\u7ebf\u63a8\u7406\u4e1a\u52a1\u3002<\/p>\n

        \u603b\u7ed3<\/strong><\/h2>\n

        AI\u65e0\u7591\u662f\u4e00\u4e2a\u706b\u70ed\u7684\u8bcd\u6c47\uff0c\u4f46\u662f\u653e\u5728\u6574\u4e2a\u8ba1\u7b97\u673a\u9886\u57df\uff0c\u5e94\u7528\u7684\u91cd\u8981\u6027\u4e0d\u6539\u53d8\u5176\u6280\u672f\u7684\u672c\u8d28\uff0c\u5176\u4ece\u786c\u4ef6\u5230\u8f6f\u4ef6\u7684\u8bbe\u8ba1\u601d\u8def\u5e76\u6ca1\u6709\u4ec0\u4e48\u7279\u6b8a\u7684\u5730\u65b9\uff0c\u6ca1\u6709\u54ea\u4e2a\u8bbe\u8ba1\u601d\u8def\u662f\u8ba1\u7b97\u673a\u53d1\u5c55\u53f2\u4e0a\u7684\u65b0\u9c9c\u4e8b\u3002\u7ecf\u5386\u884c\u4e1a\u957f\u671f\u5b9e\u8df5\u7ecf\u9a8c\uff0c\u6570\u636e\u4e2d\u5fc3\u4e91\u5316\u662f\u5927\u52bf\u6240\u8d8b\u3002\u4e00\u4e2a\u5e94\u7528\u8981\u4e0a\u4e91\uff0c\u4e0d\u662f\u8ba9\u4e91\u6765\u9002\u5e94\u5e94\u7528\uff0c\u800c\u662f\u5e94\u7528\u5fc5\u987b\u8981\u9002\u5e94\u4e91\uff0c\u5426\u5219\u53ea\u80fd\u88ab\u66f4\u9002\u5e94\u4e91\u7684\u7ade\u4e89\u8005\u6240\u66ff\u4ee3\u3002GPU\u6c60\u5316\u8f6f\u4ef6\u628a\u7269\u7406GPU\u62bd\u8c61\u6210\u7c7b\u4f3c\u4e8e\u5206\u5e03\u5f0f\u5b58\u50a8\u7684\uff0c\u53ef\u4ee5\u901a\u8fc7\u7f51\u7edc\u5728\u6570\u636e\u4e2d\u5fc3\u5185\u5168\u5c40\u7edf\u4e00\u8fd0\u7ef4\u548c\u7ba1\u7406\u3001\u4efb\u610f\u4f7f\u7528\u7684\u62bd\u8c61\u8d44\u6e90\uff0c\u662fAI\u4e1a\u52a1\u4e0a\u4e91\u7684\u5fc5\u7136\u9009\u62e9\u3002\u4eca\u5929\u8ba4\u4e3aGPU\u6c60\u5316\u8f6f\u4ef6\u4f1a\u5f15\u5165\u6027\u80fd\u635f\u5931\uff0c\u4e0d\u9002\u5408\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u770b\u6cd5\uff0c\u548c\u5f53\u5e74\u8ba4\u4e3a\u8f6f\u4ef6\u5b9a\u4e49\u5b58\u50a8\u6027\u80fd\u4e0d\u5982\u786c\u4ef6\u5b58\u50a8\uff0c\u4e0d\u9002\u5408\u91cd\u8981\u5e94\u7528\u7684\u770b\u6cd5\u4e00\u6837\uff0c\u6709\u7740\u76f8\u4f3c\u7684\u7247\u9762\u6027\u3002\u6df1\u5ea6\u5b66\u4e60\u80fd\u591f\uff0c\u4e5f\u5e94\u8be5\u62e5\u62b1GPU\u6c60\u5316\u6280\u672f\uff0c\u4e8c\u8005\u4e92\u76f8\u914d\u5408\uff0c\u4e3a\u7528\u6237\u63d0\u4f9b\u66f4\u597d\u7684\uff0c\u66f4\u9002\u5408\u4e91\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n

        \u8c08\u5230\u5e94\u7528\u548c\u4e91\uff0c\u5c31\u4e0d\u5f97\u4e0d\u63d0\u201c\u4e91\u539f\u751f\u201d\u3002\u8fd9\u662f\u53e6\u5916\u4e00\u4e2a\u6709\u610f\u601d\u7684\u8bdd\u9898\u3002\u611f\u5174\u8da3\u8bf7\u5173\u6ce8\u6211\u4eec\u4e0b\u4e00\u671f\u7684\u6280\u672f\u5206\u4eab\u3002<\/p>\n

        \u53c2\u8003\u6587\u732e<\/strong><\/p>\n

        1. Characterizing Deep LearningTraining Workloads on Alibaba-PAI\uff0c2019 IEEE International Symposium on Workload Characterization(IISWC)<\/p>\n

         <\/p>\n","protected":false},"excerpt":{"rendered":"

        \u6458\u8981\uff1a \u4eca\u5929AI\u6570\u636e\u4e2d\u5fc3\u4e3a\u4f01\u4e1a\u63d0\u4f9b\u4e86\u6df1\u5ea6\u5b66\u4e60\u5f00\u53d1\u3001\u6d4b\u8bd5\u548c\u751f\u4ea7\u6240\u9700\u7684\u8f6f\u786c\u4ef6\u73af\u5883\u3002\u7136\u800c\uff0cGPU\u4f5c\u4e3a\u9ad8\u4ef7\u503c\u786c\u4ef6\uff0c\u5374\u5e76…<\/p>\n","protected":false},"author":2,"featured_media":5717,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[],"class_list":["post-5714","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-member"],"_links":{"self":[{"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/posts\/5714","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/comments?post=5714"}],"version-history":[{"count":1,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/posts\/5714\/revisions"}],"predecessor-version":[{"id":5718,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/posts\/5714\/revisions\/5718"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/media\/5717"}],"wp:attachment":[{"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/media?parent=5714"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/categories?post=5714"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.saiia.org.cn\/index.php\/wp-json\/wp\/v2\/tags?post=5714"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}