{"id":32354,"date":"2026-05-12T11:38:12","date_gmt":"2026-05-12T03:38:12","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-cn\/choosing-the-right-operating-system-for-ai-workloads\/"},"modified":"2026-05-12T11:42:49","modified_gmt":"2026-05-12T03:42:49","slug":"choosing-the-right-operating-system-for-ai-workloads","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-cn\/blog\/choosing-the-right-operating-system-for-ai-workloads\/","title":{"rendered":"\u4e3a AI \u5de5\u4f5c\u8d1f\u8f7d\u9009\u62e9\u5408\u9002\u7684\u64cd\u4f5c\u7cfb\u7edf"},"content":{"rendered":"<style>\n    table, th, td {\n        border: 1px solid black;\n        border-collapse: collapse;\n    }\n<\/style>\n<p>\u5728\u4e3a AI \u9879\u76ee\u9009\u62e9\u64cd\u4f5c\u7cfb\u7edf\u65f6\uff0c\u60a8\u4f1a\u9762\u4e34\u8bb8\u591a\u9009\u9879\u3002Linux\uff08\u5c24\u5176\u662f Ubuntu\uff09\u3001Windows \u548c macOS \u90fd\u5728<a target=\"_self\" href=\"https:\/\/www.varidata.com\/zh-cn\/blog\/hybrid-ai-training-and-inference-deployment\/\">AI \u5de5\u4f5c\u8d1f\u8f7d<\/a>\u65b9\u9762\u5404\u6709\u4f18\u52bf\u3002\u4e13\u95e8\u7684 AI \u64cd\u4f5c\u7cfb\u7edf\u9009\u9879\u4ee5\u53ca\u53ef\u9760\u7684<a target=\"_blank\" href=\"https:\/\/www.varidata.com\/zh-cn\/server\/los-angeles\/cn2\/\">\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\uff08US hosting\uff09<\/a>\uff0c\u4e3a\u60a8\u5904\u7406\u9ad8\u7ea7\u4efb\u52a1\u63d0\u4f9b\u4e86\u66f4\u591a\u5de5\u5177\u3002\u6027\u80fd\u3001\u53ef\u6269\u5c55\u6027\u4ee5\u53ca\u4e0e\u4e3b\u6d41 AI \u6846\u67b6\u7684\u517c\u5bb9\u6027\u662f\u6700\u91cd\u8981\u7684\u56e0\u7d20\u3002\u5408\u9002\u7684\u64cd\u4f5c\u7cfb\u7edf\u518d\u52a0\u4e0a\u5408\u9002\u7684\u7f8e\u56fd\u670d\u52a1\u5668\u79df\u7528\u73af\u5883\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u91ca\u653e AI \u6a21\u578b\u7684\u5168\u90e8\u6f5c\u529b\u3002<\/p>\n<h2>\u5173\u952e\u8981\u70b9<\/h2>\n<ul>\n<li>\n<p>\u9009\u62e9\u4e0e\u60a8\u7684 AI \u9879\u76ee\u9700\u6c42\u76f8\u5339\u914d\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Linux\u3001Windows \u548c macOS \u5404\u6709\u5176\u72ec\u7279\u4f18\u52bf\u3002<\/p>\n<\/li>\n<li>\n<p>\u786e\u4fdd\u786c\u4ef6\u6ee1\u8db3 AI \u8981\u6c42\u3002\u5efa\u8bae\u81f3\u5c11\u914d\u5907 16GB \u5185\u5b58\u548c\u9ad8\u6027\u80fd GPU\uff0c\u4ee5\u83b7\u5f97\u66f4\u597d\u7684\u8868\u73b0\u3002<\/p>\n<\/li>\n<li>\n<p>\u68c0\u67e5\u4e0e TensorFlow\u3001PyTorch \u7b49 AI \u6846\u67b6\u7684\u517c\u5bb9\u6027\u3002Linux \u901a\u5e38\u4e3a\u8fd9\u4e9b\u5de5\u5177\u63d0\u4f9b\u6700\u4f73\u652f\u6301\u3002<\/p>\n<\/li>\n<li>\n<p>\u8003\u8651\u53ef\u6269\u5c55\u6027\u548c\u6613\u7528\u6027\u3002\u9009\u62e9\u80fd\u591f\u8ba9\u60a8\u5728\u9879\u76ee\u6269\u5c55\u65f6\u51cf\u5c11\u963b\u788d\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n<\/li>\n<li>\n<p>\u5bf9\u4e8e\u521d\u5b66\u8005\uff0cUbuntu \u548c Windows \u63d0\u4f9b\u4e86\u66f4\u53cb\u597d\u7684\u5b89\u88c5\u4e0e\u4f7f\u7528\u4f53\u9a8c\u3002\u591a\u5c1d\u8bd5\u4e0d\u540c\u5de5\u5177\uff0c\u4ee5\u627e\u5230\u6700\u9002\u5408\u60a8\u7684\u7ec4\u5408\u3002<\/p>\n<\/li>\n<\/ul>\n<h2>AI \u64cd\u4f5c\u7cfb\u7edf\u7684\u5173\u952e\u9700\u6c42<\/h2>\n<h3>\u786c\u4ef6\u4e0e\u6027\u80fd<\/h3>\n<p>\u5728\u4e3a AI \u5de5\u4f5c\u8d1f\u8f7d\u9009\u62e9\u64cd\u4f5c\u7cfb\u7edf\u65f6\uff0c\u60a8\u9700\u8981\u91cd\u70b9\u8003\u8651\u786c\u4ef6\u4e0e\u6027\u80fd\u3002\u5408\u9002\u7684\u786c\u4ef6\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5145\u5206\u91ca\u653e AI \u80fd\u529b\u3002\u5927\u591a\u6570 AI \u4efb\u52a1\u9700\u8981\u5f3a\u5927\u7684 CPU \u6765\u5b8c\u6210\u57fa\u7840\u8ba1\u7b97\uff1bGPU \u5728\u5e76\u884c\u8ba1\u7b97\u4e2d\u53d1\u6325\u5173\u952e\u4f5c\u7528\uff0c\u53ef\u52a0\u901f\u673a\u5668\u5b66\u4e60\u8fc7\u7a0b\u3002\u5bf9\u4e8e\u57fa\u7840 AI \u9879\u76ee\uff0c\u5efa\u8bae\u81f3\u5c11\u4f7f\u7528 16GB \u5185\u5b58\u3002\u5982\u679c\u5904\u7406\u66f4\u5927\u7684\u6a21\u578b\u6216\u6570\u636e\u96c6\uff0c32GB \u751a\u81f3 64GB \u5185\u5b58\u4f1a\u663e\u8457\u6539\u5584\u6548\u679c\u3002\u9ad8\u901f NVMe SSD \u5219\u6709\u52a9\u4e8e\u5feb\u901f\u5904\u7406\u5927\u578b\u6587\u4ef6\u548c\u6570\u636e\u96c6\u3002\u8fd9\u4e9b\u786c\u4ef6\u9009\u62e9\u4f1a\u660e\u663e\u5f71\u54cd\u60a8\u7684\u4f7f\u7528\u4f53\u9a8c\uff0c\u5c24\u5176\u662f\u5728\u8fd0\u884c\u751f\u6210\u5f0f AI \u6a21\u578b\u6216\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u7f51\u7edc\u65f6\u3002<\/p>\n<ul>\n<li>\n<p>CPU\uff1a\u8d1f\u8d23\u901a\u7528\u8ba1\u7b97\u4efb\u52a1<\/p>\n<\/li>\n<li>\n<p>GPU\uff1a\u8d1f\u8d23\u5e76\u884c\u8ba1\u7b97\u548c AI \u5de5\u4f5c\u8d1f\u8f7d<\/p>\n<\/li>\n<li>\n<p>\u57fa\u7840\u4efb\u52a1\u5efa\u8bae 16GB \u5185\u5b58\uff0c\u9ad8\u7ea7\u9879\u76ee\u5efa\u8bae 32GB \u53ca\u4ee5\u4e0a<\/p>\n<\/li>\n<li>\n<p>\u9ad8\u901f NVMe SSD\uff1a\u66f4\u597d\u5730\u652f\u6301\u5927\u6570\u636e\u96c6\u8bfb\u5199<\/p>\n<\/li>\n<\/ul>\n<h3>\u8f6f\u4ef6\u4e0e\u6846\u67b6\u652f\u6301<\/h3>\n<p>\u60a8\u5e94\u5f53\u68c0\u67e5\u64cd\u4f5c\u7cfb\u7edf\u662f\u5426\u652f\u6301\u8ba1\u5212\u4f7f\u7528\u7684\u8f6f\u4ef6\u548c\u6846\u67b6\u3002\u5e38\u89c1\u7684 AI \u6846\u67b6\u5982 TensorFlow\u3001PyTorch \u548c scikit-learn\uff0c\u90fd\u9700\u8981\u64cd\u4f5c\u7cfb\u7edf\u826f\u597d\u7684\u652f\u6301\u3002\u4e00\u4e9b\u64cd\u4f5c\u7cfb\u7edf\u5728\u9a71\u52a8\u548c AI \u5e93\u517c\u5bb9\u6027\u65b9\u9762\u8868\u73b0\u66f4\u597d\uff0c\u8fd9\u4f1a\u5f71\u54cd\u60a8\u7684\u4f7f\u7528\u4f53\u9a8c\uff0c\u5e76\u5728\u642d\u5efa\u73af\u5883\u65f6\u4e3a\u60a8\u8282\u7701\u65f6\u95f4\u3002\u901a\u5e38\u6765\u8bf4\uff0cLinux \u4e3a\u5f00\u6e90 AI \u5de5\u5177\u63d0\u4f9b\u4e86\u6700\u5e7f\u6cdb\u7684\u652f\u6301\u3002Windows \u548c macOS \u4e5f\u652f\u6301\u8bb8\u591a\u6846\u67b6\uff0c\u4f46\u90e8\u5206\u5e93\u53ef\u80fd\u9700\u8981\u989d\u5916\u914d\u7f6e\u6b65\u9aa4\u3002<\/p>\n<h3>\u53ef\u6269\u5c55\u6027\u4e0e\u6613\u7528\u6027<\/h3>\n<p>\u5f53\u60a8\u7684 AI \u9879\u76ee\u4e0d\u65ad\u589e\u957f\u65f6\uff0c\u53ef\u6269\u5c55\u6027\u5c31\u663e\u5f97\u5c24\u4e3a\u91cd\u8981\u3002\u60a8\u9700\u8981\u4e00\u4e2a\u80fd\u591f\u8f7b\u677e\u589e\u52a0\u8d44\u6e90\u6216\u8fc1\u79fb\u5230\u66f4\u5927\u7cfb\u7edf\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002\u6613\u7528\u6027\u540c\u6837\u5f71\u54cd\u60a8\u7684\u4f53\u9a8c\uff1a\u7b80\u6d01\u7684\u754c\u9762\u548c\u5b8c\u5584\u7684\u6587\u6863\uff0c\u53ef\u4ee5\u8ba9\u60a8\u4e13\u6ce8\u4e8e\u6784\u5efa AI \u65b9\u6848\uff0c\u800c\u4e0d\u662f\u53cd\u590d\u6392\u67e5\u7cfb\u7edf\u95ee\u9898\u3002\u4e00\u4e9b\u64cd\u4f5c\u7cfb\u7edf\u8fd8\u63d0\u4f9b\u4fbf\u6377\u5de5\u5177\uff0c\u7528\u4e8e\u7ba1\u7406\u591a\u7528\u6237\u6216\u5728\u4e91\u7aef\u8fd0\u884c AI \u5de5\u4f5c\u8d1f\u8f7d\u3002\u60a8\u5e94\u6839\u636e\u81ea\u5df1\u7684\u6280\u80fd\u6c34\u5e73\u548c\u9879\u76ee\u89c4\u6a21\uff0c\u9009\u62e9\u5339\u914d\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n<h2>AI \u64cd\u4f5c\u7cfb\u7edf\u5bf9\u6bd4<\/h2>\n<h3>Linux\uff08Ubuntu \u53ca\u5176\u4ed6\u53d1\u884c\u7248\uff09<\/h3>\n<p>Linux \u662f AI \u5de5\u4f5c\u8d1f\u8f7d\u7684\u9996\u9009\u4e4b\u4e00\u3002\u4f5c\u4e3a\u5f00\u6e90\u7cfb\u7edf\uff0c\u5b83\u5141\u8bb8\u60a8\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u548c\u8c03\u6574\u73af\u5883\uff0c\u4ee5\u9002\u914d\u4efb\u610f AI \u9879\u76ee\u3002\u8d85\u8fc7 90% \u7684\u4e91\u670d\u52a1\u5668\u548c\u8d85\u7ea7\u8ba1\u7b97\u673a\u8fd0\u884c\u5728 Linux \u4e0a\uff0c\u8fd9\u8bf4\u660e\u5176\u5728\u9ad8\u6027\u80fd\u8ba1\u7b97\u548c\u786c\u4ef6\u652f\u6301\u65b9\u9762\u8868\u73b0\u7a81\u51fa\u3002Ubuntu\u3001Fedora \u7b49\u53d1\u884c\u7248\u81ea\u5e26\u4f17\u591a AI \u5f00\u53d1\u6240\u9700\u7684\u57fa\u7840\u5de5\u5177\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5b89\u88c5 TensorFlow\u3001PyTorch \u548c scikit-learn \u7b49\u6846\u67b6\u3002Linux \u4e5f\u652f\u6301\u5e7f\u6cdb\u7684 GPU \u8bbe\u5907\uff0c\u6709\u52a9\u4e8e\u52a0\u901f\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u3002<\/p>\n<ul>\n<li>\n<p>\u60a8\u53ef\u4ee5\u83b7\u5f97\u7a33\u5b9a\u6027\u548c\u5b89\u5168\u6027\uff0c\u8fd9\u5bf9\u957f\u671f AI \u9879\u76ee\u5341\u5206\u91cd\u8981\u3002<\/p>\n<\/li>\n<li>\n<p>Linux \u65e0\u9700\u652f\u4ed8\u6388\u6743\u8d39\u7528\uff0c\u5728\u6210\u672c\u4e0a\u66f4\u5177\u4f18\u52bf\u3002<\/p>\n<\/li>\n<li>\n<p>\u5982\u679c\u60a8\u662f\u65b0\u624b\uff0cLinux \u7684\u5b66\u4e60\u66f2\u7ebf\u53ef\u80fd\u66f4\u9661\u4e00\u4e9b\uff0c\u4f46\u6709\u5927\u91cf\u6559\u7a0b\u4e0e\u793e\u533a\u8d44\u6e90\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5165\u95e8\u3002<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p><strong>\u63d0\u793a\uff1a<\/strong>\u5982\u679c\u60a8\u5e0c\u671b\u5728 AI \u73af\u5883\u4e2d\u62e5\u6709\u6700\u5927\u7075\u6d3b\u5ea6\u548c\u63a7\u5236\u529b\uff0cLinux \u662f\u975e\u5e38\u503c\u5f97\u8003\u8651\u7684\u9009\u62e9\u3002<\/p>\n<\/blockquote>\n<h3>Windows \u4e0e AI \u9a71\u52a8\u7684\u64cd\u4f5c\u7cfb\u7edf<\/h3>\n<p>Windows \u5728 AI \u5f00\u53d1\u4e2d\u4f9d\u7136\u5341\u5206\u53d7\u6b22\u8fce\uff0c\u5c24\u5176\u9002\u5408\u4f9d\u8d56\u4f20\u7edf\u751f\u4ea7\u529b\u5de5\u5177\u7684\u7528\u6237\u3002\u60a8\u53ef\u4ee5\u5728 Windows \u4e0a\u8fd0\u884c\u5927\u591a\u6570 AI \u6846\u67b6\uff0c\u4f46\u90e8\u5206\u5e93\u6216 GPU \u9a71\u52a8\u53ef\u80fd\u9700\u8981\u989d\u5916\u914d\u7f6e\u3002\u4f20\u7edf Windows \u5b89\u88c5\u5728\u5927\u89c4\u6a21 AI \u5de5\u4f5c\u8d1f\u8f7d\u7684\u4f18\u5316\u4e0a\u6709\u65f6\u4f1a\u7a0d\u663e\u4e0d\u8db3\uff0c\u60a8\u53ef\u80fd\u4f1a\u611f\u5230\u90e8\u7f72\u6210\u672c\u66f4\u9ad8\u3001\u73af\u5883\u51c6\u5907\u8017\u65f6\u66f4\u957f\u3002<\/p>\n<p>\u57fa\u4e8e Windows \u7684 AI \u9a71\u52a8\u64cd\u4f5c\u7cfb\u7edf\u5219\u91c7\u7528\u4e86\u4e0d\u540c\u601d\u8def\u3002\u8fd9\u7c7b\u7cfb\u7edf\u5c06\u667a\u80fd\u4f53\uff08agent\uff09\u80fd\u529b\u76f4\u63a5\u96c6\u6210\u5230\u64cd\u4f5c\u7cfb\u7edf\u4e2d\u3002\u4f8b\u5982\uff0c\u5fae\u8f6f\u7684 AI \u9a71\u52a8\u64cd\u4f5c\u7cfb\u7edf\u4e2d\u5305\u542b Agent Workspace \u7b49\u529f\u80fd\uff0c\u8be5\u5de5\u4f5c\u533a\u4e3a\u667a\u80fd\u4f53\u63d0\u4f9b\u4e00\u4e2a\u5b89\u5168\u73af\u5883\uff0c\u7528\u4e8e\u81ea\u52a8\u5316\u4efb\u52a1\u4e14\u4e0d\u5e72\u6270\u60a8\u7684\u65e5\u5e38\u4f7f\u7528\u3002Model Context Protocol \u8ba9\u667a\u80fd\u4f53\u53ef\u4ee5\u4e0e Windows \u5e94\u7528\u548c\u7cfb\u7edf\u8bbe\u7f6e\u8fdb\u884c\u4ea4\u4e92\u3002\u76f8\u6bd4\u4f20\u7edf Windows\uff0c\u8fd9\u79cd\u65b9\u5f0f\u4e3a\u60a8\u63d0\u4f9b\u4e86\u66f4\u5f3a\u7684\u81ea\u52a8\u5316\u4e0e\u66f4\u6df1\u5c42\u7684\u7cfb\u7edf\u96c6\u6210\uff0c\u5e2e\u52a9\u60a8\u4f18\u5316 AI \u5de5\u4f5c\u6d41\u5e76\u63d0\u5347\u751f\u4ea7\u529b\u3002<\/p>\n<ul>\n<li>\n<p>Windows \u62e5\u6709\u719f\u6089\u7684\u754c\u9762\uff0c\u5e76\u5bf9\u5404\u7c7b\u529e\u516c\u8f6f\u4ef6\u63d0\u4f9b\u826f\u597d\u652f\u6301\u3002<\/p>\n<\/li>\n<li>\n<p>\u57fa\u4e8e Windows \u7684 AI \u9a71\u52a8\u64cd\u4f5c\u7cfb\u7edf\u589e\u52a0\u4e86\u81ea\u52a8\u5316\u4e0e\u667a\u80fd\u4f53\u7ba1\u7406\u5de5\u5177\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728\u66f4\u9ad8\u7ea7\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u4e2d\uff0c\u60a8\u53ef\u80fd\u4f1a\u9762\u4e34\u66f4\u9ad8\u6210\u672c\u4ee5\u53ca\u90e8\u5206\u517c\u5bb9\u6027\u6311\u6218\u3002<\/p>\n<\/li>\n<\/ul>\n<h3>\u7528\u4e8e AI \u7684 macOS<\/h3>\n<p>\u5982\u679c\u60a8\u504f\u597d Apple \u786c\u4ef6\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528 macOS \u6765\u5f00\u5c55 AI \u9879\u76ee\u3002Apple Silicon \u4e3a\u672c\u5730 AI \u5f00\u53d1\u63d0\u4f9b\u4e86\u5feb\u901f\u4e14\u9ad8\u5ea6\u96c6\u6210\u7684\u73af\u5883\uff0c\u4e00\u4f53\u5316\u5185\u5b58\u548c\u9759\u97f3\u8fd0\u884c\u4f53\u9a8c\uff0c\u8ba9\u539f\u578b\u8bbe\u8ba1\u548c\u8fed\u4ee3\u66f4\u52a0\u987a\u7545\u3002Core ML \u4e0e MLX \u7b49\u6846\u67b6\u652f\u6301\u672c\u5730\u8bbe\u5907\u4e0a\u7684\u63a8\u7406\u4e0e\u8bad\u7ec3\uff0c\u6709\u52a9\u4e8e\u4fdd\u62a4\u6570\u636e\u9690\u79c1\u3002<\/p>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u4ea7\u54c1\u7ef4\u5ea6<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Apple Silicon \u4f18\u52bf<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>CUDA \u4f18\u52bf<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u672c\u5730\u539f\u578b\u5f00\u53d1\u4e0e\u8fed\u4ee3<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u901f\u5ea6\u3001\u4e00\u4f53\u5316\u5185\u5b58\u3001\u9759\u97f3\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>macOS\/iOS \u5ba2\u6237\u7aef\u5e94\u7528\uff08\u672c\u5730\u7aef\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08Core ML \/ MLX\uff0c\u9690\u79c1\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5927\u89c4\u6a21\u540e\u7aef \/ API<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08TensorRT\u3001Triton\u3001\u591a GPU\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u751f\u6001\u4e0e\u5e93\u517c\u5bb9\u6027<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08Transformers + FlashAttention\u3001bitsandbytes \u7b49\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u80fd\u6548\uff08\u5de5\u4f5c\u7ad9 \/ \u8fb9\u7f18\u8bbe\u5907\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>MLOps \u4e0e\u4e91\u5c31\u7eea\u5ea6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u6807\u51c6\u5316\u3001\u955c\u50cf\u3001GPU \u670d\u52a1\u5668\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5177\u5907 GPU \u8bbf\u95ee\u7684\u5bb9\u5668\u5316<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\uff08\u5728 Mac \u4e0a\u4ecd\u6709\u9650\u5236\uff0cApple Container \u6b63\u5728\u63a8\u8fdb\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u6210\u719f\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u672c\u5730\u9690\u79c1\u4e0e\u5408\u89c4<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u672c\u5730\u7aef\u5904\u7406\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>Apple Silicon \u975e\u5e38\u9002\u5408\u672c\u5730 AI \u5e94\u7528\u5f00\u53d1\uff0c\u65e2\u517c\u987e\u9690\u79c1\u53c8\u5177\u5907\u826f\u597d\u80fd\u6548\u3002\u4f46\u5728\u5927\u89c4\u6a21\u540e\u7aef\u548c\u4e91\u7aef AI \u573a\u666f\u4e2d\uff0c\u57fa\u4e8e CUDA \u7684\u7cfb\u7edf\u4ecd\u7136\u5177\u6709\u4f18\u52bf\u3002\u5982\u679c\u60a8\u9700\u8981\u66f4\u5148\u8fdb\u7684 GPU \u652f\u6301\uff0c\u6216\u5e0c\u671b\u4f7f\u7528\u6700\u65b0\u7684 AI \u5e93\uff0c\u5728 Linux \u6216 Windows \u4e0a\u4f1a\u6709\u66f4\u591a\u9009\u62e9\u3002<\/p>\n<h3>\u4e13\u7528 AI \u64cd\u4f5c\u7cfb\u7edf\uff08Google Fuchsia\u3001IBM Watson OS\u3001VAST\uff09<\/h3>\n<p>\u5728\u4f01\u4e1a\u548c\u79d1\u7814\u73af\u5883\u4e2d\uff0c\u4e13\u7528 AI \u64cd\u4f5c\u7cfb\u7edf\u8d8a\u6765\u8d8a\u5e38\u89c1\u3002\u8fd9\u7c7b\u7cfb\u7edf\u4e13\u95e8\u4e3a\u7b80\u5316 AI \u5de5\u4f5c\u6d41\u4ee5\u53ca\u5728\u5927\u89c4\u6a21\u73af\u5883\u4e2d\u7ba1\u7406 AI \u667a\u80fd\u4f53\u800c\u8bbe\u8ba1\u3002\u4f8b\u5982\uff0c\u666e\u534e\u6c38\u9053\uff08PwC\uff09\u7684 agent OS \u5e2e\u52a9\u7ec4\u7ec7\u5728\u4e0d\u540c\u5e73\u53f0\u4e4b\u95f4\u96c6\u6210 AI \u667a\u80fd\u4f53\uff0c\u89e3\u51b3\u4e92\u64cd\u4f5c\u6027\u4e0e\u53ef\u6269\u5c55\u6027\u95ee\u9898\u3002\u60a8\u53ef\u4ee5\u521b\u5efa\u5e76\u7ba1\u7406\u7528\u4e8e\u591a\u79cd\u4efb\u52a1\u7684 AI \u667a\u80fd\u4f53\uff0c\u4ee5\u652f\u6301\u4f01\u4e1a\u7ea7\u7684 AI \u90e8\u7f72\u3002<\/p>\n<p>Google Fuchsia\u3001IBM Watson OS \u548c VAST \u7b49\u5e73\u53f0\uff0c\u5728 AI \u5de5\u4f5c\u8d1f\u8f7d\u65b9\u9762\u5404\u6709\u7279\u8272\u3002\u5b83\u4eec\u7740\u91cd\u4e8e\u81ea\u52a8\u5316\u3001\u667a\u80fd\u4f53\u7ba1\u7406\u4ee5\u53ca\u4e0e\u4e91\u670d\u52a1\u7684\u65e0\u7f1d\u96c6\u6210\uff0c\u5e2e\u52a9\u60a8\u9ad8\u6548\u90e8\u7f72\u3001\u76d1\u63a7\u4e0e\u6269\u5c55 AI \u6a21\u578b\u3002\u8bb8\u591a\u4e13\u7528 AI \u64cd\u4f5c\u7cfb\u7edf\u8fd8\u5185\u7f6e\u9ad8\u7ea7\u5b89\u5168\u7279\u6027\uff0c\u5982\u6570\u636e\u52a0\u5bc6\u4e0e\u8bbf\u95ee\u63a7\u5236\uff0c\u4ee5\u4fdd\u62a4\u654f\u611f\u4fe1\u606f\u5e76\u6ee1\u8db3\u5408\u89c4\u8981\u6c42\u3002<\/p>\n<ul>\n<li>\n<p>\u4e13\u7528 AI \u64cd\u4f5c\u7cfb\u7edf\u6709\u52a9\u4e8e\u4f01\u4e1a\u5728\u5927\u89c4\u6a21\u8303\u56f4\u5185\u843d\u5730 AI \u9879\u76ee\u3002<\/p>\n<\/li>\n<li>\n<p>\u60a8\u53ef\u4ee5\u96c6\u4e2d\u7ba1\u7406 AI \u667a\u80fd\u4f53\u5e76\u81ea\u52a8\u5316\u590d\u6742\u5de5\u4f5c\u6d41\u3002<\/p>\n<\/li>\n<li>\n<p>\u8fd9\u7c7b\u7cfb\u7edf\u901a\u5e38\u9700\u8981\u66f4\u591a\u6295\u5165\u4e0e\u57f9\u8bad\uff0c\u4f46\u5bf9\u4e8e\u9ad8\u7ea7 AI \u9879\u76ee\u800c\u8a00\uff0c\u5728\u957f\u671f\u6536\u76ca\u4e0a\u5177\u6709\u660e\u663e\u4f18\u52bf\u3002<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p><strong>\u6ce8\u610f\uff1a<\/strong>\u5982\u679c\u60a8\u9700\u8981\u5728\u5927\u578b\u7ec4\u7ec7\u4e2d\u7ba1\u7406\u5927\u91cf AI \u667a\u80fd\u4f53\uff0c\u4e13\u7528 AI \u64cd\u4f5c\u7cfb\u7edf\u53ef\u4ee5\u4e3a\u60a8\u5e26\u6765\u7ade\u4e89\u4f18\u52bf\u3002<\/p>\n<\/blockquote>\n<h2>\u5b9e\u4f53\u4e16\u754c\uff08Built World\uff09AI \u64cd\u4f5c\u7cfb\u7edf\u4f7f\u7528\u573a\u666f<\/h2>\n<h3>\u4f01\u4e1a\u4e0e\u751f\u4ea7\u73af\u5883<\/h3>\n<p>\u5728\u4f01\u4e1a\u4e0e\u751f\u4ea7\u73af\u5883\u4e2d\uff0c\u60a8\u9700\u8981\u53ef\u9760\u7684 AI \u64cd\u4f5c\u7cfb\u7edf\u3002\u5927\u591a\u6570\u7ec4\u7ec7\u4f1a\u9009\u62e9 Ubuntu \u6216 RHEL \u7b49 Linux \u53d1\u884c\u7248\uff0c\u56e0\u4e3a\u5b83\u4eec\u9488\u5bf9\u6570\u636e\u4e2d\u5fc3\u5de5\u4f5c\u8d1f\u8f7d\u548c AI \u4efb\u52a1\u8fdb\u884c\u4e86\u4f18\u5316\u3002Windows Server \u4e5f\u5728\u5173\u952e\u4e1a\u52a1\u5e94\u7528\u4e2d\u626e\u6f14\u7740\u91cd\u8981\u89d2\u8272\u3002\u4e00\u4e9b\u884c\u4e1a\u4f1a\u4f7f\u7528 VxWorks \u6216 QNX \u7b49\u5b9e\u65f6\u64cd\u4f5c\u7cfb\u7edf\uff08RTOS\uff09\uff0c\u6765\u627f\u8f7d\u5bf9\u65f6\u5e8f\u4e0e\u4f4e\u5ef6\u8fdf\u8981\u6c42\u6781\u9ad8\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002\u8fd9\u4e9b\u7cfb\u7edf\u6709\u52a9\u4e8e\u7ba1\u7406\u5927\u89c4\u6a21\u90e8\u7f72\uff0c\u5e76\u6ee1\u8db3\u9ad8\u53ef\u7528\u6027\u9700\u6c42\u3002<\/p>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u64cd\u4f5c\u7cfb\u7edf<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u5173\u952e\u4f18\u52bf<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Linux\uff08Ubuntu\u3001RHEL\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9488\u5bf9 AI \u4f18\u5316\uff0c\u8fdb\u7a0b\u7ba1\u7406\u80fd\u529b\u5f3a<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Windows Server<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u9ad8\u53ef\u7528\u6027\uff0c\u4f01\u4e1a\u7ea7\u96c6\u6210\u80fd\u529b\u5f3a<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5b9e\u65f6\u64cd\u4f5c\u7cfb\u7edf<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6781\u4f4e\u5ef6\u8fdf\uff0c\u9002\u5408 AI \u63a8\u7406\u5f15\u64ce<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u5982\u679c\u60a8\u4ece\u4e8b\u4f01\u4e1a\u7ea7 AI \u5de5\u4f5c\uff0c\u5e94\u8003\u8651\u652f\u6301\u53ef\u6269\u5c55\u6027\u4e0e\u5b89\u5168\u6027\u7684\u5b9e\u4f53\u4e16\u754c AI \u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n<h3>\u79d1\u7814\u4e0e\u5b66\u672f\u573a\u666f<\/h3>\n<p>\u5728\u79d1\u7814\u4e0e\u5b66\u672f\u73af\u5883\u4e2d\uff0c\u60a8\u9700\u8981\u5177\u5907\u7075\u6d3b\u6027\u548c\u9ad8\u7ea7\u7279\u6027\u7684 AI \u64cd\u4f5c\u7cfb\u7edf\u3002\u8bb8\u591a\u7814\u7a76\u4eba\u5458\u4f7f\u7528 Linux\uff0c\u56e0\u4e3a\u5b83\u80fd\u4e0e\u4e3b\u6d41 AI \u6846\u67b6\u826f\u597d\u96c6\u6210\uff0c\u5e76\u652f\u6301\u9ad8\u5ea6\u81ea\u5b9a\u4e49\u914d\u7f6e\u3002\u60a8\u80fd\u53d7\u76ca\u4e8e\u5982\u81ea\u52a8\u8c03\u4f18\uff08auto-tuning\uff09\u7b49\u529f\u80fd\uff0c\u4f7f\u7cfb\u7edf\u81ea\u884c\u8c03\u6574\u4ee5\u83b7\u5f97\u66f4\u4f73\u7684 AI \u6027\u80fd\u3002\u5b89\u5168\u6027\u540c\u6837\u91cd\u8981\uff0c\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5a01\u80c1\u68c0\u6d4b\u3002\u4e13\u7528 AI \u64cd\u4f5c\u7cfb\u7edf\u53ef\u4ee5\u5904\u7406\u9ad8\u901f\u6570\u636e\u4e0e\u590d\u6742\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u975e\u5e38\u9002\u5408\u5b9e\u9a8c\u5ba4\u548c\u9ad8\u6821\u4f7f\u7528\u3002<\/p>\n<h3>\u4e2a\u4eba\u4e0e\u5b66\u4e60\u9879\u76ee<\/h3>\n<p>\u5bf9\u4e8e\u4e2a\u4eba\u6216\u5b66\u4e60\u578b\u9879\u76ee\uff0c\u60a8\u9700\u8981\u6613\u4e0a\u624b\u7684\u5b9e\u4f53\u4e16\u754c AI \u64cd\u4f5c\u7cfb\u7edf\u3002Ubuntu \u548c macOS \u5f88\u53d7\u6b22\u8fce\uff0c\u56e0\u4e3a\u5b83\u4eec\u754c\u9762\u53cb\u597d\u4e14\u5bf9 AI \u5e93\u63d0\u4f9b\u8f83\u597d\u652f\u6301\u3002\u60a8\u53ef\u4ee5\u8f83\u4e3a\u8f7b\u677e\u5730\u642d\u5efa TensorFlow \u6216 PyTorch \u7b49\u5de5\u5177\u3002\u5982\u679c\u60a8\u60f3\u5c1d\u8bd5\u667a\u80fd\u4f53\u6216\u81ea\u52a8\u5316\uff0c\u4e00\u4e9b\u65b0\u578b AI \u64cd\u4f5c\u7cfb\u7edf\u4e5f\u63d0\u4f9b\u4e86\u9762\u5411\u666e\u901a\u7528\u6237\u7684\u73af\u5883\uff0c\u5e2e\u52a9\u60a8\u5728\u8f83\u5c11\u914d\u7f6e\u7684\u524d\u63d0\u4e0b\u5f00\u59cb\u5b66\u4e60\u4e0e\u5b9e\u8df5\u3002<\/p>\n<ul>\n<li>\n<p>Ubuntu\uff1a\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u548c\u5b66\u751f<\/p>\n<\/li>\n<li>\n<p>macOS\uff1a\u9002\u5408\u5df2\u7ecf\u4e60\u60ef Apple \u751f\u6001\u7684\u7528\u6237<\/p>\n<\/li>\n<li>\n<p>\u5165\u95e8\u7ea7 AI \u64cd\u4f5c\u7cfb\u7edf\uff1a\u9002\u5408\u52a8\u624b\u5b9e\u8df5\u4e0e\u5feb\u901f\u4e0a\u624b<\/p>\n<\/li>\n<\/ul>\n<h3>\u4e91\u7aef AI \u5de5\u4f5c\u8d1f\u8f7d<\/h3>\n<p>\u5bf9\u4e8e\u4e91\u7aef AI \u5de5\u4f5c\u8d1f\u8f7d\uff0c\u60a8\u9700\u8981\u4e00\u4e2a\u652f\u6301\u53ef\u6269\u5c55\u6027\u548c\u9ad8\u6027\u80fd\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Linux \u8868\u73b0\u5c24\u4e3a\u7a81\u51fa\uff0c\u5b83\u5728\u7a33\u5b9a\u6027\u3001\u5b89\u5168\u6027\u4ee5\u53ca\u5bf9 CUDA \u7b49 AI \u5e93\u7684\u517c\u5bb9\u6027\u65b9\u9762\u5177\u6709\u4f18\u52bf\u3002\u60a8\u53ef\u4ee5\u5229\u7528\u5bb9\u5668\u5316\u4e0e\u7f16\u6392\u5de5\u5177\uff0c\u5728\u4e0d\u540c\u4e91\u5e73\u53f0\u4e0a\u7ba1\u7406 AI \u4efb\u52a1\u3002\u8bb8\u591a\u5b9e\u4f53\u4e16\u754c AI \u64cd\u4f5c\u7cfb\u7edf\u65b9\u6848\u5982\u4eca\u90fd\u5f3a\u8c03\u4e0e\u4e91\u7684\u6df1\u5ea6\u96c6\u6210\uff0c\u4f7f\u60a8\u66f4\u5bb9\u6613\u5728\u4e91\u7aef\u90e8\u7f72\u4e0e\u6269\u5c55 AI \u6a21\u578b\u3002<\/p>\n<blockquote>\n<p>\u63d0\u793a\uff1a\u5982\u679c\u60a8\u8ba1\u5212\u8fd0\u884c\u5927\u89c4\u6a21 AI \u9879\u76ee\uff0c\u6216\u9700\u8981\u7075\u6d3b\u7684\u4e91\u7aef\u8d44\u6e90\uff0c\u8bf7\u4f18\u5148\u9009\u62e9\u5bf9\u4e91\u73af\u5883\u53cb\u597d\u7684 AI \u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n<\/blockquote>\n<h2>AI \u6846\u67b6\u517c\u5bb9\u6027\u4e0e GPU \u652f\u6301<\/h2>\n<h3>TensorFlow\u3001PyTorch \u53ca\u5176\u4ed6\u6846\u67b6<\/h3>\n<p>\u60a8\u9700\u8981\u786e\u8ba4\u64cd\u4f5c\u7cfb\u7edf\u662f\u5426\u652f\u6301\u4e3b\u8981\u7684 AI \u6846\u67b6\u3002TensorFlow \u548c PyTorch \u662f\u5f53\u524d\u6700\u53d7\u6b22\u8fce\u7684 AI \u6846\u67b6\u3002Linux\u3001Windows \u548c macOS \u90fd\u53ef\u4ee5\u5b89\u88c5\u8fd9\u4e9b\u6846\u67b6\u3002\u5176\u4e2d\uff0cLinux \u5728\u517c\u5bb9\u6027\u548c\u5b89\u88c5\u4fbf\u6377\u5ea6\u65b9\u9762\u901a\u5e38\u8868\u73b0\u6700\u4f73\uff0cUbuntu \u4e0e TensorFlow\u3001PyTorch \u90fd\u6709\u826f\u597d\u9002\u914d\u3002Windows \u540c\u6837\u53ef\u4ee5\u8fd0\u884c\u8fd9\u4e9b\u6846\u67b6\uff0c\u4f46\u90e8\u5206\u5e93\u53ef\u80fd\u9700\u8981\u989d\u5916\u914d\u7f6e\u6b65\u9aa4\u3002macOS \u4e5f\u80fd\u4f7f\u7528\u8fd9\u4e9b AI \u6846\u67b6\uff0c\u4f46\u5728 GPU \u52a0\u901f\u65b9\u9762\u53ef\u80fd\u5b58\u5728\u4e00\u5b9a\u9650\u5236\u3002<\/p>\n<p>\u60a8\u8fd8\u4f1a\u63a5\u89e6\u5230 scikit-learn\u3001Keras\u3001MXNet \u7b49\u5176\u4ed6\u5de5\u5177\uff0c\u5b83\u4eec\u6709\u52a9\u4e8e\u60a8\u6784\u5efa\u4e0e\u6d4b\u8bd5\u5404\u79cd AI \u7b97\u6cd5\u3002\u9009\u62e9\u64cd\u4f5c\u7cfb\u7edf\u65f6\uff0c\u9700\u5173\u6ce8\u5176\u5bf9\u66f4\u65b0\u548c\u65b0\u7248\u672c\u7684\u652f\u6301\u60c5\u51b5\uff0c\u8fd9\u5f71\u54cd\u60a8\u80fd\u5426\u53ca\u65f6\u4f7f\u7528\u6700\u65b0\u529f\u80fd\u548c\u8865\u4e01\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7 pip \u6216 conda \u7b49\u5305\u7ba1\u7406\u5668\u5b89\u88c5 AI \u5e93\uff0c\u8fd9\u7c7b\u5de5\u5177\u80fd\u591f\u7b80\u5316\u4f9d\u8d56\u7ba1\u7406\u5e76\u5e2e\u52a9\u4fdd\u6301\u73af\u5883\u7a33\u5b9a\u3002<\/p>\n<blockquote>\n<p>\u63d0\u793a\uff1a\u5728\u5b89\u88c5\u524d\u8bf7\u67e5\u770b\u5404 AI \u6846\u67b6\u7684\u5b98\u65b9\u6587\u6863\uff0c\u901a\u5e38\u53ef\u4ee5\u627e\u5230\u9488\u5bf9\u4e0d\u540c\u64cd\u4f5c\u7cfb\u7edf\u7684\u8be6\u7ec6\u5b89\u88c5\u4e0e\u6392\u9519\u6307\u5357\u3002<\/p>\n<\/blockquote>\n<h3>GPU \u9a71\u52a8\u4e0e\u786c\u4ef6\u96c6\u6210<\/h3>\n<p>\u5bf9\u4e8e\u9ad8\u6027\u80fd AI \u5de5\u4f5c\u8d1f\u8f7d\uff0c\u5f3a\u5927\u7684 GPU \u652f\u6301\u81f3\u5173\u91cd\u8981\u3002GPU \u80fd\u663e\u8457\u52a0\u901f AI \u6a21\u578b\u8bad\u7ec3\u4e0e\u63a8\u7406\u3002\u5728\u8fd9\u65b9\u9762\uff0cLinux \u5bf9 NVIDIA CUDA \u9a71\u52a8\u7684\u517c\u5bb9\u6027\u6700\u597d\uff0c\u60a8\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b89\u88c5\u9a71\u52a8\u5e76\u4e0e TensorFlow\u3001PyTorch \u914d\u5408\u4f7f\u7528\u3002Windows \u4e5f\u652f\u6301 CUDA\uff0c\u4f46\u914d\u7f6e\u6d41\u7a0b\u53ef\u80fd\u76f8\u5bf9\u590d\u6742\u3002macOS \u4e3b\u8981\u4f9d\u8d56 Apple Silicon\uff0c\u5728\u672c\u5730 AI \u4efb\u52a1\u4e0a\u8868\u73b0\u4e0d\u9519\uff0c\u4f46\u4e0d\u652f\u6301 CUDA\u3002<\/p>\n<p>\u60a8\u5e94\u5f53\u786e\u8ba4\u64cd\u4f5c\u7cfb\u7edf\u662f\u5426\u652f\u6301\u6700\u65b0 GPU \u578b\u53f7\uff0c\u8fd9\u5173\u7cfb\u5230\u60a8\u80fd\u5426\u8fd0\u884c\u66f4\u5148\u8fdb\u7684 AI \u7b97\u6cd5\u5e76\u5904\u7406\u66f4\u5927\u7684\u6570\u636e\u96c6\u3002\u5728 Linux \u548c Windows \u4e0a\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528 nvidia-smi \u7b49\u5de5\u5177\u76d1\u63a7 GPU \u4f7f\u7528\u60c5\u51b5\u3002\u901a\u8fc7 Docker \u7b49\u5bb9\u5668\u5de5\u5177\uff0c\u60a8\u4e5f\u80fd\u5728\u4e91\u73af\u5883\u4e2d\u8fd0\u884c\u62e5\u6709 GPU \u8bbf\u95ee\u80fd\u529b\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 100px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u64cd\u4f5c\u7cfb\u7edf<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPU \u9a71\u52a8\u652f\u6301<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u5bb9\u5668\u5316\u80fd\u529b<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>AI \u6846\u67b6\u517c\u5bb9\u6027<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Linux<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4f18\u79c0\uff08CUDA\uff0cROCm\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6210\u719f\uff08Docker\uff0cKubernetes\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5e7f\u6cdb\uff08TensorFlow\u3001PyTorch \u7b49\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Windows<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u826f\u597d\uff08CUDA\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u826f\u597d\uff08Docker\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5e7f\u6cdb\uff08TensorFlow\u3001PyTorch \u7b49\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>macOS<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6709\u9650\uff08Apple Silicon\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u53d1\u5c55\u4e2d<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u4e2d\u7b49\uff08Core ML\u3001MLX \u7b49\uff09<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<blockquote>\n<p>\u6ce8\u610f\uff1a\u8bf7\u4fdd\u6301 GPU \u9a71\u52a8\u548c\u76f8\u5173\u5e93\u7684\u66f4\u65b0\uff0c\u8fd9\u6709\u52a9\u4e8e\u51cf\u5c11\u9519\u8bef\u5e76\u63d0\u5347 AI \u6027\u80fd\u3002<\/p>\n<\/blockquote>\n<h2>\u9762\u5411 AI \u7528\u6237\u7684\u53ef\u884c\u6027\u5efa\u8bae<\/h2>\n<h3>\u521d\u5b66\u8005<\/h3>\n<p>\u5982\u679c\u60a8\u521a\u521a\u8e0f\u5165 AI \u9886\u57df\uff0c\u53ef\u4ee5\u9009\u62e9\u5b89\u88c5\u4e0e\u4f7f\u7528\u8fc7\u7a0b\u76f8\u5bf9\u7b80\u5355\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Windows\u3001macOS \u548c Linux \u90fd\u63d0\u4f9b\u4e86\u4fbf\u6377\u7684 AI \u5de5\u5177\u5b89\u88c5\u65b9\u5f0f\uff1a\u5728 Windows \u4e0a\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7 .exe \u5b89\u88c5\u7a0b\u5e8f\uff1b\u5728 macOS \u4e0a\u4f7f\u7528 .dmg \u6587\u4ef6\uff1b\u5728 Linux \u4e2d\u5219\u53ef\u4ee5\u4f7f\u7528 .AppImage \u6216 .deb \u5305\u3002\u8fd9\u4e9b\u65b9\u5f0f\u6709\u52a9\u4e8e\u60a8\u987a\u5229\u5b89\u88c5\u5e38\u89c1 AI \u6846\u67b6\u3002<\/p>\n<div fullwidth=\"\" class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\">\n<col style=\"min-width: 25px;\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u64cd\u4f5c\u7cfb\u7edf<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u5b89\u88c5\u65b9\u5f0f<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u517c\u5bb9\u6027<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Windows\uff0810\uff0c11\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>.exe \u5b89\u88c5\u7a0b\u5e8f<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5b8c\u6574\u652f\u6301<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>macOS<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>.dmg \u6587\u4ef6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5b8c\u6574\u652f\u6301<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Linux<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>.AppImage \/ .deb<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5b8c\u6574\u652f\u6301<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u60a8\u53ef\u4ee5\u9009\u62e9\u4e0e\u81ea\u5df1\u4f7f\u7528\u4e60\u60ef\u66f4\u5951\u5408\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Windows \u4e0e macOS \u62e5\u6709\u66f4\u719f\u6089\u7684\u684c\u9762\u4f53\u9a8c\uff1bLinux \u5219\u62e5\u6709\u5f3a\u5927\u7684\u793e\u533a\u652f\u6301\u4e0e\u4e30\u5bcc\u6559\u7a0b\u3002\u60a8\u53ef\u4ee5\u5728\u6240\u9009\u7cfb\u7edf\u4e0a\u5c1d\u8bd5\u5b89\u88c5 TensorFlow\u3001PyTorch \u7b49 AI \u5e93\u3002\u5982\u679c\u5e0c\u671b\u5feb\u901f\u4e0a\u624b\uff0cUbuntu \u5bf9\u521d\u5b66\u8005\u6765\u8bf4\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n<blockquote>\n<p>\u63d0\u793a\uff1a\u5728\u6240\u9009\u64cd\u4f5c\u7cfb\u7edf\u4e2d\u591a\u5c1d\u8bd5\u51e0\u79cd AI \u5de5\u5177\uff0c\u770b\u770b\u54ea\u79cd\u7ec4\u5408\u6700\u9002\u5408\u81ea\u5df1\u7684\u5de5\u4f5c\u6d41\u3002<\/p>\n<\/blockquote>\n<h3>\u8fdb\u9636\u7528\u6237<\/h3>\n<p>\u5982\u679c\u60a8\u5df2\u7ecf\u5177\u5907\u4e00\u5b9a\u57fa\u7840\uff0c\u53ef\u4ee5\u901a\u8fc7\u81ea\u5b9a\u4e49\u73af\u5883\u6765\u91ca\u653e\u66f4\u5927\u7b97\u529b\u6f5c\u80fd\u3002Linux \u5728\u7075\u6d3b\u6027\u548c\u53ef\u63a7\u6027\u65b9\u9762\u5c24\u4e3a\u7a81\u51fa\uff0c\u60a8\u53ef\u4ee5\u9488\u5bf9\u6df1\u5ea6\u5b66\u4e60\u548c\u6570\u636e\u79d1\u5b66\u573a\u666f\u8fdb\u884c\u6df1\u5ea6\u4f18\u5316\u3002\u5229\u7528 GPU \u52a0\u901f\u53ef\u4ee5\u5927\u5e45\u7f29\u77ed\u8bad\u7ec3\u65f6\u95f4\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528 pip \u6216 conda \u7b49\u5de5\u5177\u5b89\u88c5\u9ad8\u7ea7 AI 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\u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n<h3>\u4e13\u4e1a\u4eba\u58eb\u4e0e\u56e2\u961f<\/h3>\n<p>\u5bf9\u4e8e\u4e13\u4e1a\u5f00\u53d1\u8005\u548c\u56e2\u961f\u800c\u8a00\uff0c\u64cd\u4f5c\u7cfb\u7edf\u9700\u8981\u652f\u6301\u534f\u4f5c\u4e0e\u5927\u89c4\u6a21 AI \u90e8\u7f72\u3002Linux \u5728\u4f01\u4e1a\u73af\u5883\u4e2d\u975e\u5e38\u6d41\u884c\uff0c\u56e0\u4e3a\u5b83\u5728\u7a33\u5b9a\u6027\u4e0e\u5b89\u5168\u6027\u65b9\u9762\u8868\u73b0\u53ef\u9760\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528 Kubernetes \u7b49\u7f16\u6392\u5de5\u5177\uff0c\u5728\u591a\u53f0\u670d\u52a1\u5668\u4e4b\u95f4\u7edf\u4e00\u8c03\u5ea6 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002Windows Server \u5219\u5728\u5173\u952e\u4e1a\u52a1\u7cfb\u7edf\u548c\u529e\u516c\u8f6f\u4ef6\u96c6\u6210\u65b9\u9762\u5177\u6709\u4f18\u52bf\u3002<\/p>\n<p>\u60a8\u5e94\u91cd\u70b9\u5173\u6ce8\u53ef\u6269\u5c55\u6027\u4e0e\u5408\u89c4\u6027\u3002\u501f\u52a9\u4e91\u5c31\u7eea\u7684 AI \u64cd\u4f5c\u7cfb\u7edf\uff0c\u60a8\u53ef\u4ee5\u7075\u6d3b\u90e8\u7f72\u6a21\u578b\u5e76\u7edf\u4e00\u7ba1\u7406\u8d44\u6e90\uff0c\u5e76\u901a\u8fc7\u9ad8\u7ea7\u5b89\u5168\u673a\u5236\u4fdd\u62a4\u654f\u611f\u6570\u636e\u3002\u76d1\u63a7\u5de5\u5177\u5219\u6709\u52a9\u4e8e\u8ddf\u8e2a AI \u5e94\u7528\u7684\u6027\u80fd\u4e0e\u53ef\u9760\u6027\u3002<\/p>\n<blockquote>\n<p>\u6ce8\u610f\uff1a\u8bf7\u9009\u62e9\u65e2\u6ee1\u8db3\u56e2\u961f\u65e5\u5e38\u9700\u6c42\uff0c\u53c8\u80fd\u652f\u6491\u957f\u671f AI \u76ee\u6807\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002<\/p>\n<\/blockquote>\n<div dividerstyle=\"solid\" size=\"large\" color=\"#D1D1D1\" class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: rgb(209, 209, 209);\"><\/div>\n<\/div>\n<p>\u5728\u4e3a AI \u5de5\u4f5c\u8d1f\u8f7d\u9009\u62e9\u64cd\u4f5c\u7cfb\u7edf\u65f6\uff0c\u60a8\u7684\u53ef\u9009\u9879\u975e\u5e38\u591a\u3002Linux\u3001Windows\u3001macOS 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