{"id":32355,"date":"2026-05-12T11:38:12","date_gmt":"2026-05-12T03:38:12","guid":{"rendered":"https:\/\/www.varidata.com\/uncategorized-zh-tw\/choosing-the-right-operating-system-for-ai-workloads\/"},"modified":"2026-05-12T11:41:11","modified_gmt":"2026-05-12T03:41:11","slug":"choosing-the-right-operating-system-for-ai-workloads","status":"publish","type":"post","link":"https:\/\/www.varidata.com\/zh-tw\/blog-tc\/choosing-the-right-operating-system-for-ai-workloads\/","title":{"rendered":"\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71"},"content":{"rendered":"<style>\n    table, th, td {\n        border: 1px solid black;\n        border-collapse: collapse;\n    }\n<\/style>\n<p>\u5728\u70ba AI \u5c08\u6848\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u60a8\u6703\u9762\u81e8\u8a31\u591a\u9078\u9805\u3002Linux\uff08\u5c24\u5176\u662f Ubuntu\uff09\u3001Windows \u548c macOS \u90fd\u5728<a target=\"_self\" href=\"https:\/\/www.varidata.com\/zh-tw\/blog-tc\/hybrid-ai-training-and-inference-deployment\/\">AI \u5de5\u4f5c\u8ca0\u8f09<\/a>\u65b9\u9762\u5404\u6709\u512a\u52e2\u3002\u5c08\u9580\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u9078\u9805\uff0c\u4ee5\u53ca\u53ef\u9760\u7684<a target=\"_blank\" href=\"https:\/\/www.varidata.com\/zh-tw\/server\/los-angeles\/cn2\/\">\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\uff08US hosting\uff09<\/a>\uff0c\u70ba\u60a8\u8655\u7406\u9032\u968e\u4efb\u52d9\u63d0\u4f9b\u4e86\u66f4\u591a\u5de5\u5177\u3002\u6548\u80fd\u3001\u53ef\u64f4\u5c55\u6027\u4ee5\u53ca\u8207\u4e3b\u6d41 AI \u6846\u67b6\u7684\u76f8\u5bb9\u6027\u662f\u6700\u91cd\u8981\u7684\u56e0\u7d20\u3002\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71\u518d\u52a0\u4e0a\u5408\u9069\u7684\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u74b0\u5883\uff0c\u53ef\u4ee5\u5e6b\u52a9\u60a8\u91cb\u653e AI \u6a21\u578b\u7684\u5168\u90e8\u6f5b\u529b\u3002<\/p>\n<h2>\u95dc\u9375\u8981\u9ede<\/h2>\n<ul>\n<li>\n<p>\u9078\u64c7\u8207\u60a8\u7684 AI \u5c08\u6848\u9700\u6c42\u76f8\u5339\u914d\u7684\u4f5c\u696d\u7cfb\u7d71\u3002Linux\u3001Windows \u548c macOS \u5404\u6709\u5176\u7368\u7279\u512a\u52e2\u3002<\/p>\n<\/li>\n<li>\n<p>\u78ba\u4fdd\u786c\u9ad4\u7b26\u5408 AI \u8981\u6c42\u3002\u5efa\u8b70\u81f3\u5c11\u914d\u5099 16GB \u8a18\u61b6\u9ad4\u8207\u9ad8\u6548\u80fd GPU\uff0c\u4ee5\u7372\u5f97\u66f4\u4f73\u8868\u73fe\u3002<\/p>\n<\/li>\n<li>\n<p>\u6aa2\u67e5\u8207 TensorFlow\u3001PyTorch \u7b49 AI \u6846\u67b6\u7684\u76f8\u5bb9\u6027\u3002Linux \u901a\u5e38\u70ba\u9019\u4e9b\u5de5\u5177\u63d0\u4f9b\u6700\u4f73\u652f\u63f4\u3002<\/p>\n<\/li>\n<li>\n<p>\u8003\u91cf\u53ef\u64f4\u5c55\u6027\u8207\u6613\u7528\u6027\u3002\u9078\u64c7\u80fd\u5728\u5c08\u6848\u64f4\u5f35\u6642\u6e1b\u5c11\u963b\u7919\u7684\u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<\/li>\n<li>\n<p>\u5c0d\u65bc\u521d\u5b78\u8005\uff0cUbuntu \u8207 Windows \u63d0\u4f9b\u66f4\u53cb\u5584\u7684\u5b89\u88dd\u8207\u4f7f\u7528\u9ad4\u9a57\u3002\u591a\u5617\u8a66\u4e0d\u540c\u5de5\u5177\uff0c\u4ee5\u627e\u5230\u6700\u9069\u5408\u60a8\u7684\u7d44\u5408\u3002<\/p>\n<\/li>\n<\/ul>\n<h2>AI \u4f5c\u696d\u7cfb\u7d71\u7684\u95dc\u9375\u9700\u6c42<\/h2>\n<h3>\u786c\u9ad4\u8207\u6548\u80fd<\/h3>\n<p>\u5728\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u60a8\u9700\u8981\u7279\u5225\u91cd\u8996\u786c\u9ad4\u8207\u6548\u80fd\u3002\u5408\u9069\u7684\u786c\u9ad4\u53ef\u4ee5\u5e6b\u52a9\u60a8\u5145\u5206\u91cb\u653e AI \u80fd\u529b\u3002\u591a\u6578 AI \u4efb\u52d9\u9700\u8981\u5f37\u5927\u7684 CPU \u4f86\u8655\u7406\u57fa\u790e\u904b\u7b97\uff1bGPU \u5247\u5728\u5e73\u884c\u904b\u7b97\u4e2d\u626e\u6f14\u95dc\u9375\u89d2\u8272\uff0c\u53ef\u52a0\u901f\u6a5f\u5668\u5b78\u7fd2\u6d41\u7a0b\u3002\u5c0d\u65bc\u57fa\u790e AI \u5c08\u6848\uff0c\u5efa\u8b70\u81f3\u5c11\u4f7f\u7528 16GB \u8a18\u61b6\u9ad4\uff1b\u82e5\u9808\u8655\u7406\u66f4\u5927\u578b\u6a21\u578b\u6216\u8cc7\u6599\u96c6\uff0c32GB \u751a\u81f3 64GB \u8a18\u61b6\u9ad4\u90fd\u80fd\u5e36\u4f86\u660e\u986f\u6539\u5584\u3002\u9ad8\u901f NVMe SSD \u6709\u52a9\u65bc\u5feb\u901f\u8655\u7406\u5927\u578b\u6a94\u6848\u8207\u8cc7\u6599\u96c6\u3002\u9019\u4e9b\u786c\u9ad4\u9078\u64c7\u6703\u660e\u986f\u5f71\u97ff\u60a8\u7684\u4f7f\u7528\u9ad4\u9a57\uff0c\u5c24\u5176\u662f\u5728\u57f7\u884c\u751f\u6210\u5f0f AI \u6a21\u578b\u6216\u8a13\u7df4\u6df1\u5ea6\u5b78\u7fd2\u7db2\u8def\u6642\u3002<\/p>\n<ul>\n<li>\n<p>CPU\uff1a\u8ca0\u8cac\u4e00\u822c\u904b\u7b97\u5de5\u4f5c<\/p>\n<\/li>\n<li>\n<p>GPU\uff1a\u8ca0\u8cac\u5e73\u884c\u904b\u7b97\u8207 AI \u5de5\u4f5c\u8ca0\u8f09<\/p>\n<\/li>\n<li>\n<p>\u57fa\u790e\u4efb\u52d9\u5efa\u8b70 16GB \u8a18\u61b6\u9ad4\uff0c\u9032\u968e\u5c08\u6848\u5efa\u8b70 32GB \u4ee5\u4e0a<\/p>\n<\/li>\n<li>\n<p>\u9ad8\u901f NVMe SSD\uff1a\u66f4\u6709\u5229\u65bc\u5927\u578b\u8cc7\u6599\u96c6\u8b80\u5beb<\/p>\n<\/li>\n<\/ul>\n<h3>\u8edf\u9ad4\u8207\u6846\u67b6\u652f\u63f4<\/h3>\n<p>\u60a8\u61c9\u5148\u78ba\u8a8d\u4f5c\u696d\u7cfb\u7d71\u662f\u5426\u652f\u63f4\u8a08\u756b\u4f7f\u7528\u7684\u8edf\u9ad4\u8207\u6846\u67b6\u3002\u5e38\u898b\u7684 AI \u6846\u67b6\u5982 TensorFlow\u3001PyTorch \u8207 scikit-learn\uff0c\u90fd\u9700\u8981\u4f5c\u696d\u7cfb\u7d71\u63d0\u4f9b\u826f\u597d\u652f\u63f4\u3002\u6709\u4e9b\u4f5c\u696d\u7cfb\u7d71\u5728\u9a45\u52d5\u7a0b\u5f0f\u8207 AI \u51fd\u5f0f\u5eab\u7684\u76f8\u5bb9\u6027\u4e0a\u8868\u73fe\u66f4\u4f73\uff0c\u9019\u6703\u5f71\u97ff\u60a8\u7684\u4f7f\u7528\u9ad4\u9a57\uff0c\u4e26\u5728\u74b0\u5883\u5efa\u7f6e\u6642\u66ff\u60a8\u7bc0\u7701\u6642\u9593\u3002\u4e00\u822c\u4f86\u8aaa\uff0cLinux \u70ba\u958b\u6e90 AI \u5de5\u5177\u63d0\u4f9b\u6700\u5ee3\u6cdb\u7684\u652f\u63f4\u3002Windows \u8207 macOS \u4e5f\u652f\u63f4\u8a31\u591a\u6846\u67b6\uff0c\u4f46\u90e8\u5206\u51fd\u5f0f\u5eab\u53ef\u80fd\u9700\u8981\u984d\u5916\u8a2d\u5b9a\u6b65\u9a5f\u3002<\/p>\n<h3>\u53ef\u64f4\u5c55\u6027\u8207\u6613\u7528\u6027<\/h3>\n<p>\u7576\u60a8\u7684 AI \u5c08\u6848\u4e0d\u65b7\u6210\u9577\u6642\uff0c\u53ef\u64f4\u5c55\u6027\u5c31\u683c\u5916\u91cd\u8981\u3002\u60a8\u9700\u8981\u4e00\u500b\u80fd\u8f15\u9b06\u589e\u52a0\u8cc7\u6e90\u6216\u9077\u79fb\u81f3\u66f4\u5927\u578b\u7cfb\u7d71\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u6613\u7528\u6027\u540c\u6a23\u6703\u5f71\u97ff\u60a8\u7684\u9ad4\u9a57\uff1a\u7c21\u6f54\u7684\u4ecb\u9762\u8207\u5b8c\u5584\u7684\u6587\u4ef6\uff0c\u53ef\u4ee5\u8b93\u60a8\u5c08\u6ce8\u65bc\u5efa\u69cb AI \u89e3\u6c7a\u65b9\u6848\uff0c\u800c\u4e0d\u662f\u6301\u7e8c\u6392\u67e5\u7cfb\u7d71\u554f\u984c\u3002\u6709\u4e9b\u4f5c\u696d\u7cfb\u7d71\u4e5f\u63d0\u4f9b\u65b9\u4fbf\u7684\u5de5\u5177\uff0c\u7528\u4f86\u7ba1\u7406\u591a\u4f4d\u4f7f\u7528\u8005\uff0c\u6216\u5728\u96f2\u7aef\u57f7\u884c AI \u5de5\u4f5c\u8ca0\u8f09\u3002\u60a8\u61c9\u6839\u64da\u81ea\u8eab\u6280\u80fd\u6c34\u6e96\u8207\u5c08\u6848\u898f\u6a21\uff0c\u9078\u64c7\u6700\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<h2>AI \u4f5c\u696d\u7cfb\u7d71\u6bd4\u8f03<\/h2>\n<h3>Linux\uff08Ubuntu \u53ca\u5176\u4ed6\u767c\u884c\u7248\uff09<\/h3>\n<p>Linux \u662f AI \u5de5\u4f5c\u8ca0\u8f09\u7684\u9996\u9078\u4e4b\u4e00\u3002\u8eab\u70ba\u958b\u6e90\u7cfb\u7d71\uff0c\u5b83\u5141\u8a31\u60a8\u9ad8\u5ea6\u81ea\u8a02\u8207\u8abf\u6574\u74b0\u5883\uff0c\u4ee5\u56e0\u61c9\u5404\u5f0f AI \u5c08\u6848\u3002\u8d85\u904e 90% \u7684\u96f2\u7aef\u4f3a\u670d\u5668\u8207\u8d85\u7d1a\u96fb\u8166\u90fd\u57f7\u884c Linux\uff0c\u986f\u793a\u5176\u5728\u9ad8\u6548\u80fd\u904b\u7b97\u8207\u786c\u9ad4\u652f\u63f4\u65b9\u9762\u8868\u73fe\u7a81\u51fa\u3002Ubuntu\u3001Fedora \u7b49\u767c\u884c\u7248\u5167\u5efa\u8a31\u591a AI \u958b\u767c\u6240\u9700\u7684\u57fa\u790e\u5de5\u5177\uff0c\u60a8\u53ef\u4ee5\u8f15\u9b06\u5b89\u88dd TensorFlow\u3001PyTorch \u8207 scikit-learn \u7b49\u6846\u67b6\u3002Linux \u4e5f\u652f\u63f4\u5ee3\u6cdb\u7684 GPU \u88dd\u7f6e\uff0c\u6709\u52a9\u65bc\u52a0\u901f\u6df1\u5ea6\u5b78\u7fd2\u4efb\u52d9\u3002<\/p>\n<ul>\n<li>\n<p>\u60a8\u53ef\u4ee5\u7372\u5f97\u7a69\u5b9a\u6027\u8207\u5b89\u5168\u6027\uff0c\u9019\u5c0d\u9577\u671f AI \u5c08\u6848\u76f8\u7576\u91cd\u8981\u3002<\/p>\n<\/li>\n<li>\n<p>Linux \u7121\u9808\u652f\u4ed8\u6388\u6b0a\u8cbb\uff0c\u5728\u6210\u672c\u4e0a\u66f4\u5177\u512a\u52e2\u3002<\/p>\n<\/li>\n<li>\n<p>\u82e5\u60a8\u662f\u65b0\u624b\uff0cLinux \u7684\u5b78\u7fd2\u66f2\u7dda\u53ef\u80fd\u8f03\u9661\uff0c\u4f46\u6709\u5927\u91cf\u6559\u5b78\u8207\u793e\u7fa4\u8cc7\u6e90\u53ef\u5354\u52a9\u60a8\u5165\u9580\u3002<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p><strong>\u63d0\u793a\uff1a<\/strong>\u82e5\u60a8\u5e0c\u671b\u5728 AI \u74b0\u5883\u4e2d\u64c1\u6709\u6700\u5927\u7684\u5f48\u6027\u8207\u638c\u63a7\u529b\uff0cLinux \u662f\u975e\u5e38\u503c\u5f97\u8003\u616e\u7684\u9078\u9805\u3002<\/p>\n<\/blockquote>\n<h3>Windows \u8207 AI \u9a45\u52d5\u4f5c\u696d\u7cfb\u7d71<\/h3>\n<p>Windows \u5728 AI \u958b\u767c\u9818\u57df\u4f9d\u7136\u76f8\u7576\u53d7\u6b61\u8fce\uff0c\u7279\u5225\u9069\u5408\u4ef0\u8cf4\u50b3\u7d71\u751f\u7522\u529b\u5de5\u5177\u7684\u4f7f\u7528\u8005\u3002\u60a8\u53ef\u4ee5\u5728 Windows \u4e0a\u57f7\u884c\u591a\u6578 AI \u6846\u67b6\uff0c\u4f46\u90e8\u5206\u51fd\u5f0f\u5eab\u6216 GPU \u9a45\u52d5\u53ef\u80fd\u9700\u8981\u984d\u5916\u8a2d\u5b9a\u3002\u50b3\u7d71 Windows \u5b89\u88dd\u5728\u5927\u898f\u6a21 AI \u5de5\u4f5c\u8ca0\u8f09\u7684\u6700\u4f73\u5316\u4e0a\u6709\u6642\u7565\u986f\u4e0d\u8db3\uff0c\u60a8\u53ef\u80fd\u6703\u89ba\u5f97\u90e8\u7f72\u6210\u672c\u8f03\u9ad8\u3001\u74b0\u5883\u6e96\u5099\u8017\u6642\u66f4\u9577\u3002<\/p>\n<p>\u4ee5 Windows \u70ba\u57fa\u790e\u7684 AI \u9a45\u52d5\u4f5c\u696d\u7cfb\u7d71\u5247\u63a1\u7528\u4e0d\u540c\u601d\u7dad\u3002\u9019\u985e\u7cfb\u7d71\u5c07\u667a\u80fd\u9ad4\uff08agent\uff09\u80fd\u529b\u76f4\u63a5\u6574\u5408\u9032\u4f5c\u696d\u7cfb\u7d71\u3002\u4f8b\u5982\uff0c\u5fae\u8edf\u7684 AI \u9a45\u52d5\u4f5c\u696d\u7cfb\u7d71\u4e2d\u5305\u542b Agent Workspace \u7b49\u529f\u80fd\uff0c\u63d0\u4f9b\u4e00\u500b\u5b89\u5168\u7a7a\u9593\uff0c\u8b93\u667a\u80fd\u9ad4\u80fd\u81ea\u52d5\u5316\u8655\u7406\u4efb\u52d9\uff0c\u800c\u4e0d\u5e72\u64fe\u60a8\u7684\u65e5\u5e38\u64cd\u4f5c\u3002Model Context Protocol \u8b93\u667a\u80fd\u9ad4\u80fd\u8207 Windows \u61c9\u7528\u7a0b\u5f0f\u8207\u7cfb\u7d71\u8a2d\u5b9a\u4e92\u52d5\u3002\u8207\u50b3\u7d71 Windows \u76f8\u6bd4\uff0c\u9019\u7a2e\u65b9\u5f0f\u70ba\u60a8\u5e36\u4f86\u66f4\u5f37\u7684\u81ea\u52d5\u5316\u80fd\u529b\u8207\u66f4\u6df1\u5c64\u7684\u7cfb\u7d71\u6574\u5408\uff0c\u6709\u52a9\u65bc\u512a\u5316 AI \u5de5\u4f5c\u6d41\u7a0b\u4e26\u63d0\u5347\u751f\u7522\u529b\u3002<\/p>\n<ul>\n<li>\n<p>Windows \u5177\u5099\u719f\u6089\u7684\u4ecb\u9762\uff0c\u4e26\u5c0d\u5404\u985e\u8fa6\u516c\u8edf\u9ad4\u63d0\u4f9b\u826f\u597d\u652f\u63f4\u3002<\/p>\n<\/li>\n<li>\n<p>\u4ee5 Windows \u70ba\u57fa\u790e\u7684 AI \u9a45\u52d5\u4f5c\u696d\u7cfb\u7d71\uff0c\u65b0\u589e\u4e86\u81ea\u52d5\u5316\u8207\u667a\u80fd\u9ad4\u7ba1\u7406\u5de5\u5177\u3002<\/p>\n<\/li>\n<li>\n<p>\u5728\u66f4\u9032\u968e\u7684 AI \u5de5\u4f5c\u8ca0\u8f09\u4e2d\uff0c\u60a8\u53ef\u80fd\u6703\u9762\u81e8\u66f4\u9ad8\u6210\u672c\u4ee5\u53ca\u90e8\u5206\u76f8\u5bb9\u6027\u6311\u6230\u3002<\/p>\n<\/li>\n<\/ul>\n<h3>\u7528\u65bc AI \u7684 macOS<\/h3>\n<p>\u5982\u679c\u60a8\u504f\u597d Apple \u786c\u9ad4\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528 macOS \u4f86\u9032\u884c AI \u5c08\u6848\u3002Apple Silicon \u70ba\u672c\u6a5f AI \u958b\u767c\u63d0\u4f9b\u5feb\u901f\u4e14\u9ad8\u5ea6\u6574\u5408\u7684\u74b0\u5883\uff0c\u4e00\u9ad4\u5316\u8a18\u61b6\u9ad4\u8207\u5b89\u975c\u904b\u4f5c\u5e36\u4f86\u6d41\u66a2\u7684\u539f\u578b\u8a2d\u8a08\u8207\u8fed\u4ee3\u9ad4\u9a57\u3002Core ML \u8207 MLX \u7b49\u6846\u67b6\u652f\u63f4\u88dd\u7f6e\u7aef\u63a8\u8ad6\u8207\u8a13\u7df4\uff0c\u6709\u52a9\u65bc\u7dad\u8b77\u8cc7\u6599\u96b1\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>\u7522\u54c1\u9762\u5411<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Apple Silicon \u512a\u52e2<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>CUDA \u512a\u52e2<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u672c\u6a5f\u539f\u578b\u958b\u767c\u8207\u8fed\u4ee3<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u901f\u5ea6\u3001\u4e00\u9ad4\u5316\u8a18\u61b6\u9ad4\u3001\u5b89\u975c\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 \u7528\u6236\u7aef\u61c9\u7528\uff08\u88dd\u7f6e\u7aef\uff09<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08Core ML \/ MLX\uff0c\u96b1\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\u898f\u6a21\u5f8c\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\u614b\u7cfb\u8207\u51fd\u5f0f\u5eab\u76f8\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 \/ \u908a\u7de3\u88dd\u7f6e\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 \u8207\u96f2\u7aef\u5c31\u7dd2\u5ea6<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u6a19\u6e96\u5316\u3001\u6620\u50cf\u6a94\u3001GPU \u4f3a\u670d\u5668\uff09<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5177\u5099 GPU \u5b58\u53d6\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\u9032\u4e2d\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\u6a5f\u96b1\u79c1\u8207\u6cd5\u898f\u9075\u5faa<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u2705\uff08\u88dd\u7f6e\u7aef\u8655\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\u9069\u5408\u672c\u6a5f AI \u61c9\u7528\u958b\u767c\uff0c\u517c\u9867\u96b1\u79c1\u8207\u80fd\u6548\u3002\u4e0d\u904e\u5728\u5927\u898f\u6a21\u5f8c\u7aef\u8207\u96f2\u7aef AI \u60c5\u5883\u4e2d\uff0c\u57fa\u65bc CUDA \u7684\u7cfb\u7d71\u4ecd\u5177\u660e\u986f\u512a\u52e2\u3002\u82e5\u60a8\u9700\u8981\u66f4\u9032\u968e\u7684 GPU \u652f\u63f4\uff0c\u6216\u5e0c\u671b\u4f7f\u7528\u6700\u65b0 AI \u51fd\u5f0f\u5eab\uff0c\u5728 Linux \u6216 Windows \u4e0a\u901a\u5e38\u6703\u6709\u66f4\u591a\u9078\u64c7\u3002<\/p>\n<h3>\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\uff08Google Fuchsia\u3001IBM Watson OS\u3001VAST\uff09<\/h3>\n<p>\u5728\u4f01\u696d\u8207\u79d1\u7814\u74b0\u5883\u4e2d\uff0c\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u6108\u4f86\u6108\u666e\u904d\u3002\u9019\u985e\u7cfb\u7d71\u5c08\u70ba\u7c21\u5316 AI \u5de5\u4f5c\u6d41\u7a0b\u8207\u5728\u5927\u898f\u6a21\u74b0\u5883\u4e2d\u7ba1\u7406 AI \u667a\u80fd\u9ad4\u800c\u8a2d\u8a08\u3002\u4f8b\u5982\uff0c\u666e\u83ef\u6c38\u9053\uff08PwC\uff09\u7684 agent OS \u5354\u52a9\u7d44\u7e54\u5728\u591a\u500b\u5e73\u53f0\u9593\u6574\u5408 AI \u667a\u80fd\u9ad4\uff0c\u89e3\u6c7a\u4e92\u901a\u6027\u8207\u53ef\u64f4\u5c55\u6027\u554f\u984c\u3002\u60a8\u53ef\u4ee5\u5efa\u7acb\u4e26\u7ba1\u7406\u8ca0\u8cac\u591a\u7a2e\u4efb\u52d9\u7684 AI \u667a\u80fd\u9ad4\uff0c\u4ee5\u652f\u63f4\u4f01\u696d\u7d1a AI \u4f48\u7f72\u3002<\/p>\n<p>Google Fuchsia\u3001IBM Watson OS \u8207 VAST \u7b49\u5e73\u53f0\uff0c\u5728 AI \u5de5\u4f5c\u8ca0\u8f09\u65b9\u9762\u5404\u6709\u7279\u8272\u3002\u5b83\u5011\u8457\u91cd\u81ea\u52d5\u5316\u3001\u667a\u80fd\u9ad4\u7ba1\u7406\u4ee5\u53ca\u8207\u96f2\u7aef\u670d\u52d9\u7684\u7121\u7e2b\u6574\u5408\uff0c\u5354\u52a9\u60a8\u6709\u6548\u4f48\u7f72\u3001\u76e3\u63a7\u8207\u64f4\u5c55 AI \u6a21\u578b\u3002\u8a31\u591a\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u4e5f\u5167\u5efa\u9032\u968e\u5b89\u5168\u6a5f\u5236\uff0c\u5982\u8cc7\u6599\u52a0\u5bc6\u8207\u5b58\u53d6\u63a7\u5236\uff0c\u4ee5\u4fdd\u8b77\u654f\u611f\u8cc7\u8a0a\u4e26\u7b26\u5408\u76f8\u95dc\u6cd5\u898f\u3002<\/p>\n<ul>\n<li>\n<p>\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u6709\u52a9\u65bc\u4f01\u696d\u5728\u5927\u898f\u6a21\u7bc4\u570d\u5167\u843d\u5be6 AI \u5c08\u6848\u3002<\/p>\n<\/li>\n<li>\n<p>\u60a8\u53ef\u4ee5\u96c6\u4e2d\u7ba1\u7406 AI \u667a\u80fd\u9ad4\u4e26\u81ea\u52d5\u5316\u8907\u96dc\u5de5\u4f5c\u6d41\u7a0b\u3002<\/p>\n<\/li>\n<li>\n<p>\u9019\u985e\u7cfb\u7d71\u901a\u5e38\u9700\u8981\u8f03\u591a\u6295\u8cc7\u8207\u8a13\u7df4\uff0c\u4f46\u5c0d\u9032\u968e AI \u5c08\u6848\u800c\u8a00\uff0c\u9577\u671f\u6548\u76ca\u986f\u8457\u3002<\/p>\n<\/li>\n<\/ul>\n<blockquote>\n<p><strong>\u6ce8\u610f\uff1a<\/strong>\u82e5\u60a8\u9700\u8981\u5728\u5927\u578b\u7d44\u7e54\u4e2d\u7ba1\u7406\u5927\u91cf AI \u667a\u80fd\u9ad4\uff0c\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u80fd\u5e36\u4f86\u660e\u986f\u7af6\u722d\u512a\u52e2\u3002<\/p>\n<\/blockquote>\n<h2>\u5be6\u9ad4\u4e16\u754c\uff08Built World\uff09AI \u4f5c\u696d\u7cfb\u7d71\u4f7f\u7528\u60c5\u5883<\/h2>\n<h3>\u4f01\u696d\u8207\u751f\u7522\u74b0\u5883<\/h3>\n<p>\u5728\u4f01\u696d\u8207\u751f\u7522\u74b0\u5883\u4e2d\uff0c\u60a8\u9700\u8981\u53ef\u9760\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u3002\u591a\u6578\u7d44\u7e54\u6703\u9078\u64c7 Ubuntu \u6216 RHEL \u7b49 Linux \u767c\u884c\u7248\uff0c\u56e0\u70ba\u5b83\u5011\u91dd\u5c0d\u8cc7\u6599\u4e2d\u5fc3\u5de5\u4f5c\u8ca0\u8f09\u8207 AI \u4efb\u52d9\u9032\u884c\u6700\u4f73\u5316\u3002Windows Server \u4ea6\u5728\u95dc\u9375\u5546\u696d\u61c9\u7528\u4e2d\u626e\u6f14\u91cd\u8981\u89d2\u8272\u3002\u6709\u4e9b\u7522\u696d\u5247\u63a1\u7528 VxWorks \u6216 QNX \u7b49\u5373\u6642\u4f5c\u696d\u7cfb\u7d71\uff08RTOS\uff09\uff0c\u4ee5\u627f\u8f09\u5c0d\u6642\u9593\u7cbe\u6e96\u5ea6\u8207\u4f4e\u5ef6\u9072\u8981\u6c42\u6975\u9ad8\u7684 AI \u5de5\u4f5c\u8ca0\u8f09\u3002\u9019\u4e9b\u7cfb\u7d71\u6709\u52a9\u65bc\u7ba1\u7406\u5927\u898f\u6a21\u4f48\u7f72\u4e26\u6eff\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>\u4f5c\u696d\u7cfb\u7d71<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u95dc\u9375\u512a\u52e2<\/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>\u91dd\u5c0d AI \u6700\u4f73\u5316\uff0c\u7a0b\u5e8f\u7ba1\u7406\u80fd\u529b\u5f37<\/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\u696d\u6574\u5408\u80fd\u529b\u4f73<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5373\u6642\u4f5c\u696d\u7cfb\u7d71<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u6975\u4f4e\u5ef6\u9072\uff0c\u9069\u5408 AI \u63a8\u8ad6\u5f15\u64ce<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u82e5\u60a8\u5f9e\u4e8b\u4f01\u696d\u7d1a AI \u5de5\u4f5c\uff0c\u61c9\u8003\u616e\u652f\u63f4\u53ef\u64f4\u5c55\u6027\u8207\u5b89\u5168\u6027\u7684\u5be6\u9ad4\u4e16\u754c AI \u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<h3>\u79d1\u7814\u8207\u5b78\u8853\u74b0\u5883<\/h3>\n<p>\u5728\u79d1\u7814\u8207\u5b78\u8853\u74b0\u5883\u4e2d\uff0c\u60a8\u9700\u8981\u5177\u5099\u9ad8\u5ea6\u5f48\u6027\u8207\u9032\u968e\u529f\u80fd\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u3002\u8a31\u591a\u7814\u7a76\u4eba\u54e1\u504f\u597d\u4f7f\u7528 Linux\uff0c\u56e0\u5176\u80fd\u8207\u4e3b\u6d41 AI \u6846\u67b6\u826f\u597d\u6574\u5408\uff0c\u4e14\u652f\u63f4\u9ad8\u5ea6\u81ea\u8a02\u8a2d\u5b9a\u3002\u60a8\u53ef\u53d7\u76ca\u65bc\u81ea\u52d5\u8abf\u6821\uff08auto-tuning\uff09\u7b49\u529f\u80fd\uff0c\u8b93\u7cfb\u7d71\u81ea\u884c\u8abf\u6574\u4ee5\u7372\u5f97\u66f4\u4f73 AI \u6548\u80fd\u3002\u5b89\u5168\u6027\u540c\u6a23\u95dc\u9375\uff0c\u6df1\u5ea6\u5b78\u7fd2\u5de5\u5177\u4e5f\u53ef\u7528\u65bc\u5a01\u8105\u5075\u6e2c\u3002\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u80fd\u8655\u7406\u9ad8\u901f\u8cc7\u6599\u8207\u8907\u96dc\u5de5\u4f5c\u8ca0\u8f09\uff0c\u975e\u5e38\u9069\u5408\u5be6\u9a57\u5ba4\u8207\u5927\u5b78\u4f7f\u7528\u3002<\/p>\n<h3>\u500b\u4eba\u8207\u5b78\u7fd2\u5c08\u6848<\/h3>\n<p>\u5c0d\u65bc\u500b\u4eba\u6216\u5b78\u7fd2\u578b\u5c08\u6848\uff0c\u60a8\u9700\u8981\u6613\u65bc\u4e0a\u624b\u7684\u5be6\u9ad4\u4e16\u754c AI \u4f5c\u696d\u7cfb\u7d71\u3002Ubuntu \u8207 macOS \u76f8\u7576\u53d7\u6b61\u8fce\uff0c\u56e0\u70ba\u5b83\u5011\u4ecb\u9762\u53cb\u5584\u4e14\u5c0d AI \u51fd\u5f0f\u5eab\u63d0\u4f9b\u826f\u597d\u652f\u63f4\u3002\u60a8\u53ef\u4ee5\u76f8\u5c0d\u8f15\u9b06\u5730\u5efa\u7f6e TensorFlow \u6216 PyTorch \u7b49\u5de5\u5177\u3002\u82e5\u60a8\u60f3\u5617\u8a66\u667a\u80fd\u9ad4\u6216\u81ea\u52d5\u5316\uff0c\u4e00\u4e9b\u65b0\u578b AI \u4f5c\u696d\u7cfb\u7d71\u4e5f\u63d0\u4f9b\u9762\u5411\u4e00\u822c\u4f7f\u7528\u8005\u7684\u4ecb\u9762\uff0c\u5354\u52a9\u60a8\u5728\u8f03\u5c11\u8a2d\u5b9a\u7684\u60c5\u6cc1\u4e0b\u5feb\u901f\u958b\u59cb\u5b78\u7fd2\u8207\u5be6\u4f5c\u3002<\/p>\n<ul>\n<li>\n<p>Ubuntu\uff1a\u975e\u5e38\u9069\u5408\u521d\u5b78\u8005\u8207\u5b78\u751f<\/p>\n<\/li>\n<li>\n<p>macOS\uff1a\u9069\u5408\u5df2\u7fd2\u6163 Apple \u751f\u614b\u7684\u4f7f\u7528\u8005<\/p>\n<\/li>\n<li>\n<p>\u5165\u9580\u7d1a AI \u4f5c\u696d\u7cfb\u7d71\uff1a\u9069\u5408\u52d5\u624b\u5be6\u4f5c\u8207\u5feb\u901f\u4e0a\u624b<\/p>\n<\/li>\n<\/ul>\n<h3>\u96f2\u7aef AI \u5de5\u4f5c\u8ca0\u8f09<\/h3>\n<p>\u5c0d\u65bc\u96f2\u7aef AI \u5de5\u4f5c\u8ca0\u8f09\uff0c\u60a8\u9700\u8981\u652f\u63f4\u53ef\u64f4\u5c55\u6027\u8207\u9ad8\u6548\u80fd\u7684\u4f5c\u696d\u7cfb\u7d71\u3002Linux \u8868\u73fe\u683c\u5916\u7a81\u51fa\uff0c\u5b83\u5728\u7a69\u5b9a\u6027\u3001\u5b89\u5168\u6027\u4ee5\u53ca\u5c0d CUDA \u7b49 AI \u51fd\u5f0f\u5eab\u7684\u76f8\u5bb9\u6027\u65b9\u9762\u5177\u6709\u512a\u52e2\u3002\u60a8\u53ef\u4ee5\u904b\u7528\u5bb9\u5668\u5316\u8207\u7de8\u6392\u5de5\u5177\uff0c\u5728\u4e0d\u540c\u96f2\u7aef\u5e73\u53f0\u4e0a\u7ba1\u7406 AI \u4efb\u52d9\u3002\u8a31\u591a\u5be6\u9ad4\u4e16\u754c AI \u4f5c\u696d\u7cfb\u7d71\u65b9\u6848\u5982\u4eca\u7686\u5f37\u8abf\u8207\u96f2\u7aef\u7684\u6df1\u5ea6\u6574\u5408\uff0c\u8b93\u60a8\u66f4\u5bb9\u6613\u5728\u96f2\u7aef\u4f48\u7f72\u8207\u64f4\u5c55 AI \u6a21\u578b\u3002<\/p>\n<blockquote>\n<p>\u63d0\u793a\uff1a\u82e5\u60a8\u8a08\u756b\u57f7\u884c\u5927\u898f\u6a21 AI \u5c08\u6848\uff0c\u6216\u9700\u8981\u5f48\u6027\u7684\u96f2\u7aef\u8cc7\u6e90\uff0c\u8acb\u512a\u5148\u9078\u64c7\u5c0d\u96f2\u7aef\u74b0\u5883\u53cb\u5584\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<\/blockquote>\n<h2>AI \u6846\u67b6\u76f8\u5bb9\u6027\u8207 GPU \u652f\u63f4<\/h2>\n<h3>TensorFlow\u3001PyTorch \u53ca\u5176\u4ed6\u6846\u67b6<\/h3>\n<p>\u60a8\u9700\u8981\u78ba\u8a8d\u4f5c\u696d\u7cfb\u7d71\u662f\u5426\u652f\u63f4\u4e3b\u6d41 AI \u6846\u67b6\u3002TensorFlow \u8207 PyTorch \u662f\u76ee\u524d\u6700\u53d7\u6b61\u8fce\u7684 AI \u6846\u67b6\u3002Linux\u3001Windows \u8207 macOS \u5747\u53ef\u5b89\u88dd\u9019\u4e9b\u6846\u67b6\u3002\u5176\u4e2d\uff0cLinux \u5728\u76f8\u5bb9\u6027\u8207\u5b89\u88dd\u4fbf\u5229\u6027\u65b9\u9762\u901a\u5e38\u8868\u73fe\u6700\u4f73\uff0cUbuntu \u8207 TensorFlow\u3001PyTorch \u7684\u642d\u914d\u76f8\u7576\u6210\u719f\u3002Windows \u540c\u6a23\u80fd\u57f7\u884c\u9019\u4e9b\u6846\u67b6\uff0c\u4f46\u90e8\u5206\u51fd\u5f0f\u5eab\u53ef\u80fd\u9700\u8981\u984d\u5916\u8a2d\u5b9a\u6b65\u9a5f\u3002macOS \u4e5f\u652f\u63f4\u591a\u7a2e AI \u6846\u67b6\uff0c\u4f46\u5728 GPU \u52a0\u901f\u4e0a\u53ef\u80fd\u9762\u81e8\u4e00\u5b9a\u9650\u5236\u3002<\/p>\n<p>\u60a8\u4e5f\u6703\u63a5\u89f8\u5230 scikit-learn\u3001Keras\u3001MXNet \u7b49\u5176\u4ed6\u5de5\u5177\uff0c\u5b83\u5011\u6709\u52a9\u65bc\u60a8\u5efa\u69cb\u8207\u6e2c\u8a66\u5404\u985e AI \u6f14\u7b97\u6cd5\u3002\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u9700\u7559\u610f\u5176\u5c0d\u66f4\u65b0\u8207\u65b0\u7248\u672c\u7684\u652f\u63f4\u7a0b\u5ea6\uff0c\u9019\u5c07\u5f71\u97ff\u60a8\u662f\u5426\u80fd\u53ca\u6642\u4f7f\u7528\u6700\u65b0\u529f\u80fd\u8207\u4fee\u88dc\u7a0b\u5f0f\u3002\u60a8\u53ef\u4ee5\u900f\u904e pip \u6216 conda \u7b49\u5957\u4ef6\u7ba1\u7406\u5de5\u5177\u5b89\u88dd AI \u51fd\u5f0f\u5eab\uff0c\u9019\u4e9b\u5de5\u5177\u80fd\u7c21\u5316\u76f8\u4f9d\u6027\u7ba1\u7406\u4e26\u7dad\u6301\u74b0\u5883\u7a69\u5b9a\u3002<\/p>\n<blockquote>\n<p>\u63d0\u793a\uff1a\u5728\u5b89\u88dd\u524d\u8acb\u5148\u67e5\u770b\u5404 AI \u6846\u67b6\u7684\u5b98\u65b9\u6587\u4ef6\uff0c\u901a\u5e38\u80fd\u627e\u5230\u91dd\u5c0d\u4e0d\u540c\u4f5c\u696d\u7cfb\u7d71\u7684\u8a73\u7d30\u5b89\u88dd\u8207\u7591\u96e3\u6392\u89e3\u6307\u5357\u3002<\/p>\n<\/blockquote>\n<h3>GPU \u9a45\u52d5\u8207\u786c\u9ad4\u6574\u5408<\/h3>\n<p>\u5c0d\u65bc\u9ad8\u6548\u80fd AI \u5de5\u4f5c\u8ca0\u8f09\uff0c\u5f37\u5927\u7684 GPU \u652f\u63f4\u81f3\u95dc\u91cd\u8981\u3002GPU \u80fd\u5927\u5e45\u52a0\u901f AI \u6a21\u578b\u8a13\u7df4\u8207\u63a8\u8ad6\u3002\u5728\u9019\u65b9\u9762\uff0cLinux \u5c0d NVIDIA CUDA \u9a45\u52d5\u7684\u76f8\u5bb9\u6027\u6700\u4f73\uff0c\u60a8\u53ef\u4ee5\u8f15\u9b06\u5b89\u88dd\u9a45\u52d5\u4e26\u642d\u914d TensorFlow\u3001PyTorch \u4f7f\u7528\u3002Windows \u4e5f\u652f\u63f4 CUDA\uff0c\u4f46\u8a2d\u5b9a\u6d41\u7a0b\u53ef\u80fd\u76f8\u5c0d\u8907\u96dc\u3002macOS \u4e3b\u8981\u4f9d\u8cf4 Apple Silicon\uff0c\u5728\u672c\u6a5f AI \u4efb\u52d9\u4e0a\u8868\u73fe\u826f\u597d\uff0c\u4f46\u4e0d\u652f\u63f4 CUDA\u3002<\/p>\n<p>\u60a8\u61c9\u78ba\u8a8d\u4f5c\u696d\u7cfb\u7d71\u662f\u5426\u652f\u63f4\u6700\u65b0 GPU \u578b\u865f\uff0c\u9019\u95dc\u4fc2\u5230\u60a8\u80fd\u5426\u57f7\u884c\u66f4\u9032\u968e\u7684 AI \u6f14\u7b97\u6cd5\u4e26\u8655\u7406\u66f4\u5927\u578b\u8cc7\u6599\u96c6\u3002\u5728 Linux \u8207 Windows \u4e0a\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528 nvidia-smi \u7b49\u5de5\u5177\u76e3\u63a7 GPU \u4f7f\u7528\u60c5\u6cc1\u3002\u900f\u904e Docker \u7b49\u5bb9\u5668\u5de5\u5177\uff0c\u60a8\u4e5f\u80fd\u5728\u96f2\u7aef\u74b0\u5883\u4e2d\u57f7\u884c\u5177\u5099 GPU \u5b58\u53d6\u80fd\u529b\u7684 AI \u5de5\u4f5c\u8ca0\u8f09\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>\u4f5c\u696d\u7cfb\u7d71<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>GPU \u9a45\u52d5\u652f\u63f4<\/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\u76f8\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>\u512a\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>\u5ee3\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>\u5ee3\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>\u767c\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\u8acb\u4fdd\u6301 GPU \u9a45\u52d5\u8207\u76f8\u95dc\u51fd\u5f0f\u5eab\u7684\u66f4\u65b0\uff0c\u9019\u6709\u52a9\u65bc\u6e1b\u5c11\u932f\u8aa4\u4e26\u63d0\u5347 AI \u6548\u80fd\u3002<\/p>\n<\/blockquote>\n<h2>\u9762\u5411 AI \u4f7f\u7528\u8005\u7684\u5177\u9ad4\u5efa\u8b70<\/h2>\n<h3>\u521d\u5b78\u8005<\/h3>\n<p>\u82e5\u60a8\u525b\u8e0f\u5165 AI \u9818\u57df\uff0c\u53ef\u4ee5\u9078\u64c7\u5b89\u88dd\u8207\u4f7f\u7528\u6d41\u7a0b\u76f8\u5c0d\u7c21\u55ae\u7684\u4f5c\u696d\u7cfb\u7d71\u3002Windows\u3001macOS \u8207 Linux \u90fd\u63d0\u4f9b\u4fbf\u5229\u7684 AI \u5de5\u5177\u5b89\u88dd\u65b9\u5f0f\uff1a\u5728 Windows \u4e0a\uff0c\u53ef\u900f\u904e .exe \u5b89\u88dd\u7a0b\u5f0f\uff1b\u5728 macOS \u4e0a\uff0c\u5247\u4f7f\u7528 .dmg \u6a94\u6848\uff1b\u5728 Linux \u4e2d\u53ef\u4ee5\u63a1\u7528 .AppImage \u6216 .deb \u5957\u4ef6\u3002\u9019\u4e9b\u65b9\u5f0f\u90fd\u6709\u52a9\u65bc\u9806\u5229\u5b89\u88dd\u5e38\u898b 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>\u4f5c\u696d\u7cfb\u7d71<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u5b89\u88dd\u65b9\u5f0f<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>\u76f8\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\u88dd\u7a0b\u5f0f<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5b8c\u6574\u652f\u63f4<\/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 \u6a94\u6848<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>\u5b8c\u6574\u652f\u63f4<\/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\u63f4<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u60a8\u53ef\u4ee5\u9078\u64c7\u6700\u7b26\u5408\u81ea\u8eab\u4f7f\u7528\u7fd2\u6163\u7684\u4f5c\u696d\u7cfb\u7d71\u3002Windows \u8207 macOS 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Python\uff0c\u60a8\u53ef\u4ee5\u81ea\u52d5\u5316\u8655\u7406\u8cc7\u6599\u8207\u6a21\u578b\uff0c\u4e26\u5efa\u7f6e\u9060\u7aef\u5b58\u53d6\u74b0\u5883\uff0c\u4ee5\u64f4\u5927\u5be6\u9a57\u898f\u6a21\u3002\u82e5\u9700\u8981\u5927\u898f\u6a21\u667a\u80fd\u9ad4\u7ba1\u7406\u8207\u81ea\u52d5\u5316\uff0c\u4e5f\u53ef\u4ee5\u5617\u8a66\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<h3>\u5c08\u696d\u4eba\u58eb\u8207\u5718\u968a<\/h3>\n<p>\u5c0d\u5c08\u696d\u958b\u767c\u8005\u8207\u5718\u968a\u800c\u8a00\uff0c\u4f5c\u696d\u7cfb\u7d71\u5fc5\u9808\u652f\u63f4\u5354\u4f5c\u8207\u5927\u898f\u6a21 AI \u4f48\u7f72\u3002Linux \u5728\u4f01\u696d\u74b0\u5883\u4e2d\u5341\u5206\u666e\u53ca\uff0c\u56e0\u5176\u5728\u7a69\u5b9a\u6027\u8207\u5b89\u5168\u6027\u65b9\u9762\u8868\u73fe\u512a\u7570\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528 Kubernetes \u7b49\u7de8\u6392\u5de5\u5177\uff0c\u5728\u591a\u90e8\u4f3a\u670d\u5668\u9593\u7d71\u4e00\u8abf\u5ea6 AI \u5de5\u4f5c\u8ca0\u8f09\uff1bWindows Server \u5247\u5728\u95dc\u9375\u5546\u696d\u7cfb\u7d71\u8207\u8fa6\u516c\u8edf\u9ad4\u6574\u5408\u4e0a\u5177\u6709\u660e\u986f\u512a\u52e2\u3002<\/p>\n<p>\u60a8\u61c9\u7279\u5225\u7559\u610f\u53ef\u64f4\u5c55\u6027\u8207\u5408\u898f\u6027\u3002\u900f\u904e\u96f2\u7aef\u5c31\u7dd2\u7684 AI \u4f5c\u696d\u7cfb\u7d71\uff0c\u60a8\u53ef\u4ee5\u5f48\u6027\u4f48\u7f72\u6a21\u578b\u4e26\u7d71\u4e00\u7ba1\u7406\u8cc7\u6e90\uff0c\u540c\u6642\u5229\u7528\u9032\u968e\u5b89\u5168\u6a5f\u5236\u4fdd\u8b77\u654f\u611f\u8cc7\u6599\u3002\u76e3\u63a7\u5de5\u5177\u5247\u6709\u52a9\u65bc\u8ffd\u8e64 AI \u61c9\u7528\u7684\u6548\u80fd\u8207\u53ef\u9760\u5ea6\u3002<\/p>\n<blockquote>\n<p>\u6ce8\u610f\uff1a\u8acb\u9078\u64c7\u65e2\u80fd\u6eff\u8db3\u5718\u968a\u65e5\u5e38\u9700\u6c42\uff0c\u53c8\u80fd\u652f\u6490\u9577\u671f AI \u767c\u5c55\u76ee\u6a19\u7684\u4f5c\u696d\u7cfb\u7d71\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\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u60a8\u7684\u9078\u64c7\u76f8\u7576\u591a\u5143\u3002Linux\u3001Windows\u3001macOS \u4ee5\u53ca\u5404\u985e\u5c08\u7528\u7cfb\u7d71\u7686\u5404\u6709\u7279\u8272\u3002\u6700\u7d42\u6c7a\u7b56\u5f80\u5f80\u53d6\u6c7a\u65bc\u4ee5\u4e0b\u5e7e\u500b\u9762\u5411\uff1a<\/p>\n<ul>\n<li>\n<p>\u96a8\u8457 AI \u878d\u5165\u65e5\u5e38\u5de5\u4f5c\uff0c\u60a8\u7684\u9700\u6c42\u4e5f\u6703\u6301\u7e8c\u6f14\u8b8a\u3002<\/p>\n<\/li>\n<li>\n<p>\u786c\u9ad4\u76f8\u5bb9\u6027\u8207\u6548\u80fd\u540c\u6a23\u91cd\u8981\u3002<\/p>\n<\/li>\n<li>\n<p>\u5c0d AI 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\u6846\u67b6\u55ce\uff1f<\/h3>\n<p>\u53ef\u4ee5\uff0c\u8a31\u591a AI \u6846\u67b6\u90fd\u80fd\u5728 macOS \u4e0a\u57f7\u884c\u3002Apple Silicon \u652f\u63f4 Core ML \u8207 MLX\uff0c\u4f46\u5728\u90e8\u5206\u4ef0\u8cf4 GPU \u52a0\u901f\u7684\u51fd\u5f0f\u5eab\u4e0a\u53ef\u80fd\u5b58\u5728\u9650\u5236\u3002\u5c0d\u65bc\u672c\u6a5f\u3001\u5c0f\u898f\u6a21\u5c08\u6848\u800c\u8a00\uff0cmacOS \u5b8c\u5168\u8db3\u4ee5\u52dd\u4efb\u3002<\/p>\n<h3>\u9032\u884c AI \u5de5\u4f5c\u8ca0\u8f09\u6642\u4e00\u5b9a\u9700\u8981 GPU \u55ce\uff1f<\/h3>\n<p>\u4e26\u975e\u7d55\u5c0d\u9700\u8981\u3002\u5c0d\u65bc\u5c0f\u578b\u5c08\u6848\u6216\u5b78\u7fd2\u7528\u9014\uff0cCPU \u5df2\u8db3\u4ee5\u61c9\u4ed8\uff1b\u4f46\u5728\u6df1\u5ea6\u5b78\u7fd2\u6216\u5927\u578b\u6a21\u578b\u60c5\u5883\u4e2d\uff0cGPU 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\u4f5c\u696d\u7cfb\u7d71\u3002\u5927\u578b\u4f01\u696d\u6216\u7814\u7a76\u6a5f\u69cb\uff0c\u7576\u9700\u8981\u7d71\u4e00\u7ba1\u7406\u5927\u91cf\u667a\u80fd\u9ad4\u6216\u9ad8\u5ea6\u8907\u96dc\u7684\u81ea\u52d5\u5316\u6d41\u7a0b\u6642\uff0c\u9019\u985e\u7cfb\u7d71\u7684\u50f9\u503c\u6703\u66f4\u70ba\u51f8\u986f\u3002<\/p>\n<blockquote>\n<p><strong>\u6ce8\u610f\uff1a<\/strong>\u82e5\u60a8\u9700\u8981\u5728\u5927\u898f\u6a21\u74b0\u5883\u4e2d\u7ba1\u7406\u773e\u591a AI \u667a\u80fd\u9ad4\uff0c\u6216\u6253\u9020\u9ad8\u5ea6\u81ea\u52d5\u5316\u6d41\u7a0b\uff0c\u53ef\u4ee5\u8003\u616e\u63a1\u7528\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<\/blockquote><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u70ba AI \u5c08\u6848\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u60a8\u6703\u9762\u81e8\u8a31\u591a\u9078\u9805\u3002Linux\uff08\u5c24\u5176\u662f Ubuntu\uff09\u3001Windows \u548c ma [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/www.varidata.com\/zh-tw\/blog-tc\/choosing-the-right-operating-system-for-ai-workloads\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":11,"featured_media":32352,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[267],"tags":[],"class_list":["post-32355","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-tc"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71<\/title>\n<meta name=\"description\" content=\"\u70ba AI 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