<script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.simcentric.com/tc/home-update-2026/"},{"@type":"ListItem","position":2,"name":"如何為 AI 工作負載選擇合適的作業系統","item":"https://www.simcentric.com/tc/japan-dedicated-server-tc/how-to-choose-the-right-operating-system-for-ai-workloads/"}]}</script> {"id":33061,"date":"2026-06-30T13:45:56","date_gmt":"2026-06-30T05:45:56","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-tc\/how-to-choose-the-right-operating-system-for-ai-workloads\/"},"modified":"2026-06-30T13:52:10","modified_gmt":"2026-06-30T05:52:10","slug":"how-to-choose-the-right-operating-system-for-ai-workloads","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/tc\/japan-dedicated-server-tc\/how-to-choose-the-right-operating-system-for-ai-workloads\/","title":{"rendered":"\u5982\u4f55\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71"},"content":{"rendered":"<p>\u4f60\u6b63\u751f\u6d3b\u5728\u4e00\u500b\u7531\u4eba\u5de5\u667a\u6167\u6df1\u5ea6\u5f71\u97ff\u4f60\u8207\u79d1\u6280\u4e92\u52d5\u65b9\u5f0f\u7684\u6642\u4ee3\u3002\u5728\u904e\u53bb\u4e94\u5e74\u88e1\uff0c\u5404\u5927\u516c\u53f8\u5728 AI \u5c08\u7528\u4f5c\u696d\u7cfb\u7d71\u548c <a href=\"https:\/\/www.simcentric.com\/tc\/products\/dedicated-server-jp\/\" target=\"_blank\" rel=\"noopener\">\u65e5\u672c\u4f3a\u670d\u5668\u79df\u7528<\/a> \u57fa\u790e\u8a2d\u65bd\u65b9\u9762\u6295\u5165\u4e86\u5927\u91cf\u8cc7\u91d1\u3002\u5e02\u5834\u6b63\u5f9e\u50b3\u7d71\u67b6\u69cb\u8f49\u5411\u80fd\u5920\u63d0\u5347\u751f\u7522\u529b\u7684\u52d5\u614b\u74b0\u5883\u3002\u672c\u5730\u90e8\u7f72\u7684 AI <a href=\"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/os-migration-for-hong-kong-servers-best-practices\/\" target=\"_blank\" rel=\"noopener\">\u4f5c\u696d\u7cfb\u7d71<\/a> \u73fe\u5728\u4f54\u64da\u4e86\u5168\u7403\u6536\u5165\u7684\u5f88\u5927\u4efd\u984d\uff0c\u56e0\u70ba\u4f7f\u7528\u8005\u66f4\u52a0\u770b\u91cd\u96b1\u79c1\u8207\u66f4\u5feb\u7684\u8655\u7406\u901f\u5ea6\u3002\u5404\u5927\u54c1\u724c\u4e5f\u5728\u7a4d\u6975\u6295\u8cc7\u9019\u4e9b\u7cfb\u7d71\uff0c\u9019\u4f7f\u5f97\u70ba\u4f60\u7684 AI \u5c08\u6848\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71\u8b8a\u5f97\u5c24\u70ba\u91cd\u8981\u3002<\/p>\n<h2><strong>\u8981\u9ede\u901f\u89bd<\/strong><\/h2>\n<ul>\n<li>\u5728\u9078\u64c7 AI \u4f5c\u696d\u7cfb\u7d71\u4e4b\u524d\uff0c\u5148\u6aa2\u67e5\u786c\u9ad4\u76f8\u5bb9\u6027\u3002\u78ba\u4fdd\u5b83\u652f\u63f4\u4f60\u7684 CPU\u3001GPU\u3001\u8a18\u61b6\u9ad4\u548c\u5132\u5b58\u9700\u6c42\uff0c\u4ee5\u7372\u5f97\u6700\u4f73\u6548\u80fd\u3002<\/li>\n<li>\u512a\u5148\u9078\u64c7\u652f\u63f4\u4e3b\u6d41 AI \u6846\u67b6\uff08\u5982 TensorFlow \u548c PyTorch\uff09\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u9019\u6a23\u53ef\u4ee5\u4f7f\u7528\u6700\u65b0\u7279\u6027\u4e26\u7372\u5f97\u66f4\u597d\u7684\u6548\u80fd\u3002<\/li>\n<li>\u9078\u64c7\u5177\u5099\u5f37\u5927\u5b89\u5168\u6027\u8207\u7a69\u5b9a\u6027\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u4fdd\u8b77\u4f60\u7684 AI \u5de5\u4f5c\u8ca0\u8f09\u514d\u53d7\u5a01\u8105\uff0c\u4e26\u78ba\u4fdd\u6301\u7e8c\u7a69\u5b9a\u904b\u884c\u3002<\/li>\n<li>\u5728\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\u8003\u616e\u793e\u7fa4\u8207\u5ee0\u5546\u652f\u63f4\u3002\u6d3b\u8e8d\u7684\u793e\u7fa4\u80fd\u63d0\u4f9b\u8cc7\u6e90\u8207\u7591\u96e3\u6392\u89e3\u5354\u52a9\uff0c\u63d0\u5347\u4f60\u7684\u4f7f\u7528\u9ad4\u9a57\u3002<\/li>\n<li>\u70ba AI \u5c08\u6848\u9810\u7559\u53ef\u64f4\u5c55\u7a7a\u9593\u3002\u9078\u64c7\u80fd\u5920\u96a8\u8457\u9700\u6c42\u8b8a\u5316\u800c\u64f4\u5145\u8207\u8abf\u6574\u7684\u4f5c\u696d\u7cfb\u7d71\u3002<\/li>\n<\/ul>\n<h2><strong>AI \u4f5c\u696d\u7cfb\u7d71\u7684\u95dc\u9375\u8a55\u4f30\u6a19\u6e96<\/strong><\/h2>\n<h3>\u786c\u9ad4\u76f8\u5bb9\u6027<\/h3>\n<p>\u5728\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7 AI \u4f5c\u696d\u7cfb\u7d71\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u5148\u6aa2\u67e5\u786c\u9ad4\u76f8\u5bb9\u6027\u3002\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71\u53ef\u4ee5\u5145\u5206\u767c\u63ee\u786c\u9ad4\u7684\u904b\u7b97\u6f5b\u529b\u3002\u8af8\u5982 TensorFlow \u548c PyTorch \u7b49\u71b1\u9580 AI \u6846\u67b6\u90fd\u4f9d\u8cf4\u5f37\u5927\u7684 CPU\u3001GPU\u3001\u8a18\u61b6\u9ad4\u3001\u7db2\u8def\u4ee5\u53ca\u5132\u5b58\u3002\u4f60\u53ef\u4ee5\u5728\u4e0b\u8868\u4e2d\u770b\u5230\u4e3b\u8981\u7684\u786c\u9ad4\u9700\u6c42\uff1a<\/p>\n<div 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\">\u5143\u4ef6<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u63cf\u8ff0<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">CPU<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u57f7\u884c\u865b\u64ec\u6a5f\u6216\u5bb9\u5668\u5b50\u7cfb\u7d71\uff0c\u4e26\u5c07\u7a0b\u5f0f\u78bc\u50b3\u9001\u81f3 GPU\u3002\u7b2c\u4e94\u4ee3 Xeon \u548c AMD Epyc CPU \u8868\u73fe\u826f\u597d\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">GPU<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8ca0\u8cac\u6a5f\u5668\u5b78\u7fd2\u8a13\u7df4\u8207\u63a8\u8ad6\u3002NVIDIA \u7684 EGX \u4f3a\u670d\u5668\u5c08\u70ba AI \u4efb\u52d9\u6253\u9020\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u8a18\u61b6\u9ad4<\/td>\n<td colspan=\"1\" rowspan=\"1\">AI \u904b\u7b97\u5927\u91cf\u4f54\u7528 GPU \u986f\u793a\u8a18\u61b6\u9ad4\u3002\u901a\u5e38\u9700\u8981 512 GB \u6216\u4ee5\u4e0a\u7684 DRAM\u3002NVIDIA A100 GPU \u5177\u5099\u9ad8\u983b\u5bec\u8a18\u61b6\u9ad4\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u7db2\u8def<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u591a\u7d44 10 GbE \u6216 40 GbE \u9023\u63a5\u57e0\u6709\u52a9\u65bc\u5728\u53e2\u96c6\u74b0\u5883\u4e2d\u64f4\u5c55\u6548\u80fd\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5132\u5b58 IOPS<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u672c\u5730 NVMe \u78c1\u789f\u53ef\u6e1b\u5c11\u5132\u5b58\u8207\u904b\u7b97\u4e4b\u9593\u7684\u74f6\u9838\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u5fc5\u9808\u78ba\u4fdd\u4f5c\u696d\u7cfb\u7d71\u652f\u63f4\u9019\u4e9b\u786c\u9ad4\u7279\u6027\u3002\u8a31\u591a AI \u4f5c\u696d\u7cfb\u7d71\u8207\u786c\u9ad4\u5ee0\u5546\u4fdd\u6301\u7dca\u5bc6\u5408\u4f5c\u3002\u4f8b\u5982\uff0cNVIDIA \u73fe\u5728\u76f4\u63a5\u63d0\u4f9b\u6a19\u6e96\u7248 Ubuntu\uff0c\u9019\u9ad4\u73fe\u4e86\u5176\u8207\u4f5c\u696d\u7cfb\u7d71\u958b\u767c\u8005\u4e4b\u9593\u76f4\u63a5\u5354\u4f5c\u7684\u8da8\u52e2\u3002\u9019\u985e\u5408\u4f5c\u6709\u52a9\u65bc\u8b93\u4f60\u5728 AI \u5de5\u4f5c\u8ca0\u8f09\u4e0a\u7372\u5f97\u958b\u7bb1\u5373\u7528\u7684\u76f8\u5bb9\u6027\u8207\u6548\u80fd\u3002<\/p>\n<h3>\u6846\u67b6\u8207\u8edf\u9ad4\u652f\u63f4<\/h3>\n<p>\u4f60\u9700\u8981\u4e00\u500b\u80fd\u652f\u63f4\u81ea\u5df1\u5e38\u7528 AI \u6846\u67b6\u548c\u51fd\u5f0f\u5eab\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u591a\u6578 AI \u4f5c\u696d\u7cfb\u7d71\u90fd\u5c0d\u4e3b\u6d41\u5de5\u5177\u63d0\u4f9b\u539f\u751f\u6216\u512a\u5316\u652f\u63f4\u3002\u4e0b\u8868\u5c55\u793a\u4e0d\u540c\u6846\u67b6\u5728\u5404\u985e\u4f5c\u696d\u7cfb\u7d71\u4e0a\u7684\u652f\u63f4\u60c5\u6cc1\uff1a<\/p>\n<div 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\">\u6846\u67b6 \/ \u51fd\u5f0f\u5eab<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u652f\u63f4\u7684\u4f5c\u696d\u7cfb\u7d71 \/ \u786c\u9ad4<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">OpenVINO Toolkit<\/td>\n<td colspan=\"1\" rowspan=\"1\">Intel CPU\u3001GPU\u3001NPU<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">PyTorch<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u591a\u7a2e\u4f5c\u696d\u7cfb\u7d71<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">TensorFlow<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u591a\u7a2e\u4f5c\u696d\u7cfb\u7d71<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">ONNX<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u591a\u7a2e\u4f5c\u696d\u7cfb\u7d71<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u61c9\u8a72\u9078\u64c7\u5728 GPU \u52a0\u901f\u6280\u8853\uff08\u5982 CUDA \u548c ROCm\uff09\u65b9\u9762\u652f\u63f4\u5ee3\u6cdb\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u3002Ubuntu \u70ba\u4f60\u63d0\u4f9b\u51fa\u8272\u7684 CUDA\/cuDNN \u652f\u63f4\u3001\u5b98\u65b9 NVIDIA \u9a45\u52d5\u7a0b\u5f0f\uff0c\u4ee5\u53ca\u8207 AI \u6846\u67b6\u7684\u6df1\u5ea6\u6574\u5408\u3002Fedora \u5247\u5728 AMD GPU \u7684 ROCm \u652f\u63f4\u65b9\u9762\u8868\u73fe\u512a\u7570\uff0c\u540c\u6642\u4e5f\u80fd\u5f88\u597d\u5730\u914d\u5408 NVIDIA \u7684 CUDA \u6280\u8853\u3002\u9019\u4e9b\u4f5c\u696d\u7cfb\u7d71\u9078\u9805\u90fd\u80fd\u8b93\u4f60\u7684 AI \u5de5\u4f5c\u8ca0\u8f09\u4ee5\u6700\u9ad8\u6548\u7387\u904b\u884c\u3002<\/p>\n<blockquote><p>\u63d0\u793a\uff1a\u52d9\u5fc5\u6aa2\u67e5\u4f60\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u662f\u5426\u652f\u63f4\u6240\u7528\u6846\u67b6\u8207\u51fd\u5f0f\u5eab\u7684\u6700\u65b0\u7248\u672c\u3002\u9019\u80fd\u78ba\u4fdd\u4f60\u7528\u5230\u65b0\u529f\u80fd\uff0c\u4e26\u7372\u5f97\u66f4\u597d\u7684\u6548\u80fd\u8868\u73fe\u3002<\/p><\/blockquote>\n<h3>\u6548\u80fd\u8207\u53ef\u64f4\u5c55\u6027<\/h3>\n<p>\u4f60\u9700\u8981\u4e00\u500b\u80fd\u5920\u627f\u8f09\u9ad8\u5f37\u5ea6 AI \u5de5\u4f5c\u8ca0\u8f09\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u5728\u8a13\u7df4\u5927\u578b\u6a21\u578b\u6216\u57f7\u884c\u5206\u6563\u5f0f\u4efb\u52d9\u6642\uff0c\u6548\u80fd\u8207\u53ef\u64f4\u5c55\u6027\u5c24\u70ba\u95dc\u9375\u3002\u4f5c\u696d\u7cfb\u7d71\u5fc5\u9808\u80fd\u9069\u61c9\u6392\u7a0b\u3001\u8a18\u61b6\u9ad4\u7ba1\u7406\u4ee5\u53ca\u7570\u8cea\u786c\u9ad4\u74b0\u5883\u7684\u9700\u6c42\u3002\u5206\u6563\u5f0f\u8a13\u7df4\u6703\u589e\u52a0\u7cfb\u7d71\u6210\u672c\uff0c\u4e26\u5c0d\u6838\u5fc3\u5c64\u901a\u8a0a\u8207 I\/O \u7ba1\u7dda\u65bd\u52a0\u58d3\u529b\u3002\u4f60\u6703\u9762\u81e8\u5982\u540c\u6b65\u5ef6\u9072\u3001\u7db2\u8def\u58c5\u585e\u8207\u5132\u5b58\u541e\u5410\u91cf\u4e0d\u8db3\u7b49\u74f6\u9838\u3002<\/p>\n<ul>\n<li>Ubuntu \u548c Fedora \u7b49\u4f5c\u696d\u7cfb\u7d71\u63d0\u4f9b\u5c0d Kubernetes \u7684\u5167\u5efa\u652f\u63f4\uff0c\u4e26\u5177\u5099\u9ad8\u6548\u7684\u5206\u6563\u5f0f\u904b\u7b97\u5806\u758a\u3002<\/li>\n<li>\u4f60\u53ef\u4ee5\u501f\u52a9 Docker \u7b49\u5bb9\u5668\u5316\u5de5\u5177\u4f86\u7ba1\u7406 AI \u4efb\u52d9\uff0c\u4e26\u64f4\u5c55\u81f3\u53e2\u96c6\u898f\u6a21\u3002<\/li>\n<li>Helix \u548c SpeedLoader \u7b49\u5275\u65b0\u6280\u8853\u900f\u904e\u6539\u9032\u8cc7\u6599\u7ba1\u7dda\u8207\u901a\u8a0a\u6392\u7a0b\uff0c\u63d0\u5347\u541e\u5410\u91cf\u4e26\u6e1b\u5c11\u74f6\u9838\uff0c\u9ad4\u73fe\u4e86\u5c0d\u9ad8\u6548\u8cc7\u6599\u901a\u8def\u7684\u9700\u6c42\u3002<\/li>\n<\/ul>\n<p>\u4f60\u61c9\u9078\u64c7\u652f\u63f4\u591a\u7bc0\u9ede\u90e8\u7f72\u8207\u53e2\u96c6\u904b\u7b97\u7684 AI \u4f5c\u696d\u7cfb\u7d71\uff0c\u9019\u6a23\u624d\u80fd\u5728\u9700\u6c42\u6210\u9577\u6642\u8f15\u9b06\u64f4\u5c55 AI \u5de5\u4f5c\u8ca0\u8f09\u3002<\/p>\n<h3>\u5b89\u5168\u6027\u8207\u7a69\u5b9a\u6027<\/h3>\n<p>\u4f60\u5fc5\u9808\u4fdd\u8b77 AI \u5de5\u4f5c\u8ca0\u8f09\u514d\u53d7\u5b89\u5168\u5a01\u8105\u8207\u505c\u6a5f\u98a8\u96aa\u7684\u5f71\u97ff\u3002\u5b89\u5168\u6027\u8207\u7a69\u5b9a\u6027\u662f AI \u4f5c\u696d\u7cfb\u7d71\u7684\u6838\u5fc3\u8981\u6c42\u3002\u50cf NVIDIA \u7684 Mellanox UFM Cyber-AI \u9019\u985e\u5e73\u53f0\uff0c\u904b\u7528 AI \u9a45\u52d5\u7684\u5206\u6790\u80fd\u529b\u4f86\u5075\u6e2c\u5b89\u5168\u5a01\u8105\u4e26\u9810\u6e2c\u7db2\u8def\u6545\u969c\uff0c\u5f9e\u800c\u7dad\u6301\u7cfb\u7d71\u7a69\u5b9a\u8207\u9ad8\u53ef\u7528\u6027\u3002<\/p>\n<div 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\">\u5143\u4ef6<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u7528\u9014<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u5f71\u97ff<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6548\u80fd\u76e3\u63a7<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5373\u6642\u8ffd\u8e64\u7cfb\u7d71\u6307\u6a19<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u6545\u969c\u9810\u6e2c\u6e96\u78ba\u7387\u53ef\u9054 90%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u7570\u5e38\u5075\u6e2c<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8b58\u5225\u7570\u5e38\u6a21\u5f0f<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8a50\u6b3a\u640d\u5931\u964d\u4f4e 50%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u8b66\u793a\u7ba1\u7406<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5354\u8abf\u61c9\u8b8a\u5718\u968a<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u554f\u984c\u89e3\u6c7a\u6642\u9593\u7e2e\u77ed 40%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u53ef\u4ee5\u904b\u7528\u5373\u6642\u8cc7\u6599\u5206\u6790\u3001\u52d5\u614b\u9580\u6abb\u503c\u8207\u5171\u4eab\u5100\u8868\u677f\u4f86\u5feb\u901f\u5b9a\u4f4d\u8207\u89e3\u6c7a\u554f\u984c\u3002\u4f60\u4e5f\u61c9\u900f\u904e\u6f38\u9032\u5f0f\u58d3\u529b\u6e2c\u8a66\u3001\u9577\u6642\u9593\u7a69\u5b9a\u6027\u6e2c\u8a66\u4ee5\u53ca\u6df7\u6c8c\u5de5\u7a0b\uff0c\u5c0d AI \u4f5c\u696d\u7cfb\u7d71\u9032\u884c\u5168\u9762\u9a57\u8b49\u3002\u9019\u4e9b\u65b9\u6cd5\u6709\u52a9\u65bc\u767c\u73fe\u8584\u5f31\u74b0\u7bc0\u4e26\u63d0\u5347\u7cfb\u7d71\u97cc\u6027\u3002<\/p>\n<h3>\u793e\u7fa4\u8207\u5ee0\u5546\u652f\u63f4<\/h3>\n<p>\u5728\u4f7f\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u4f60\u6703\u660e\u986f\u53d7\u76ca\u65bc\u5f37\u5927\u7684\u793e\u7fa4\u8207\u5ee0\u5546\u652f\u63f4\u3002\u9f90\u5927\u4e14\u6d3b\u8e8d\u7684\u4f7f\u7528\u8005\u57fa\u790e\u80fd\u5e6b\u52a9\u4f60\u66f4\u5feb\u89e3\u6c7a\u554f\u984c\u3002\u4f8b\u5982\uff0cClaude Code AI \u4f5c\u696d\u7cfb\u7d71\u64c1\u6709\u7d04 35 \u842c\u540d\u4f7f\u7528\u8005\u7d44\u6210\u7684\u793e\u7fa4\uff0c\u4f60\u53ef\u4ee5\u5f9e\u4e2d\u7372\u53d6\u8ad6\u58c7\u7d93\u9a57\u3001\u6587\u4ef6\u8cc7\u6599\u4ee5\u53ca\u5c08\u5bb6\u5efa\u8b70\u3002<\/p>\n<p>\u786c\u9ad4\u5ee0\u5546\u8207 AI \u5e73\u53f0\u958b\u767c\u8005\u6b63\u5354\u529b\u63a8\u52d5\u529f\u80fd\u6a19\u6e96\u5316\u8207\u76f8\u5bb9\u6027\u63d0\u5347\u3002\u4ed6\u5011\u63a1\u7528\u5354\u540c\u8a2d\u8a08\u601d\u7dad\u3001\u5411\u4e0a\u6e38\u8ca2\u737b\u652f\u63f4\u7a0b\u5f0f\u78bc\uff0c\u4e26\u5efa\u7acb\u7522\u696d\u5408\u4f5c\u5925\u4f34\u95dc\u4fc2\u3002RISC\u2011V \u7684\u958b\u653e\u6a21\u5f0f\u8b93\u786c\u9ad4\u67b6\u69cb\u5e2b\u8207\u8edf\u9ad4\u5de5\u7a0b\u5e2b\u5f97\u4ee5\u5373\u6642\u5354\u4f5c\u3002\u65b0\u7684\u6307\u4ee4\u96c6\u8207\u52a0\u901f\u5668\u5728\u767c\u4f48\u7576\u5929\u5c31\u80fd\u9762\u5411\u958b\u767c\u8005\u958b\u653e\uff0c\u9019\u4e9b\u90fd\u80fd\u70ba\u4f60\u7684 AI \u5de5\u4f5c\u8ca0\u8f09\u7acb\u5373\u5e36\u4f86\u6548\u80fd\u6536\u76ca\u3002<\/p>\n<blockquote><p>\u6ce8\u610f\uff1a\u9078\u64c7\u64c1\u6709\u6d3b\u8e8d\u793e\u7fa4\u8207\u5f37\u5927\u5ee0\u5546\u652f\u63f4\u7684 AI \u4f5c\u696d\u7cfb\u7d71\uff0c\u53ef\u4ee5\u8b93\u4f60\u6301\u7e8c\u7372\u5f97\u66f4\u65b0\u3001\u7591\u96e3\u6392\u89e3\u7d93\u9a57\u8207\u6700\u4f73\u5be6\u52d9\u3002<\/p><\/blockquote>\n<p>\u5728\u70ba\u4eba\u5de5\u667a\u6167\u5c08\u6848\u9078\u64c7 AI \u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u4f60\u5fc5\u9808\u7d9c\u5408\u8003\u91cf\u4e0a\u8ff0\u6a19\u6e96\u3002\u76f8\u5bb9\u6027\u3001\u6846\u67b6\u652f\u63f4\u3001\u6548\u80fd\u3001\u5b89\u5168\u6027\u4ee5\u53ca\u793e\u7fa4\u53c3\u8207\u5ea6\u90fd\u6703\u5f71\u97ff\u6700\u7d42\u6210\u679c\u3002\u900f\u904e\u5168\u9762\u6b0a\u8861\uff0c\u4f60\u53ef\u4ee5\u505a\u51fa\u66f4\u660e\u667a\u7684\u6c7a\u7b56\uff0c\u6700\u5927\u5316 AI \u5de5\u4f5c\u8ca0\u8f09\u6240\u5275\u9020\u7684\u50f9\u503c\u3002<\/p>\n<h2><strong>\u4f5c\u696d\u7cfb\u7d71\u6bd4\u8f03<\/strong><\/h2>\n<p>\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71\uff0c\u5c07\u76f4\u63a5\u5f71\u97ff\u5c08\u6848\u6210\u6557\u3002\u4e0d\u540c\u4f5c\u696d\u7cfb\u7d71\u5404\u6709\u512a\u52e2\u8207\u6311\u6230\uff0c\u4f60\u9700\u8981\u5c07\u81ea\u8eab\u9700\u6c42\u8207\u5404\u5e73\u53f0\u7279\u6027\u9032\u884c\u5339\u914d\u3002\u4e0b\u9762\u6211\u5011\u5c07\u5f9e AI \u4efb\u52d9\u7684\u89d2\u5ea6\u6bd4\u8f03\u5e7e\u7a2e\u4e3b\u6d41\u9078\u64c7\u3002<\/p>\n<h3>Linux \u767c\u884c\u7248<\/h3>\n<p>\u5728 AI \u4f5c\u696d\u7cfb\u7d71\u9818\u57df\uff0cLinux \u767c\u884c\u7248\u8655\u65bc\u660e\u986f\u9818\u5148\u5730\u4f4d\u3002\u5927\u591a\u6578\u7814\u7a76\u4eba\u54e1\u8207\u5de5\u7a0b\u5e2b\u90fd\u504f\u597d Linux\uff0c\u56e0\u70ba\u5b83\u63d0\u4f9b\u7a69\u5b9a\u6027\u3001\u5b89\u5168\u6027\uff0c\u4ee5\u53ca\u5c0d AI \u6846\u67b6\u7684\u5ee3\u6cdb\u76f8\u5bb9\u3002\u5e7e\u4e4e\u6240\u6709 AI \u5de5\u5177\u548c\u51fd\u5f0f\u5eab\u90fd\u53ef\u4ee5\u5728 Linux \u4e0a\u57f7\u884c\u3002Linux \u7684\u958b\u6e90\u7279\u6027\u4e5f\u5141\u8a31\u4f60\u4f9d\u81ea\u8eab\u9700\u6c42\u9ad8\u5ea6\u81ea\u8a02\u4f5c\u696d\u7cfb\u7d71\u3002<\/p>\n<p>\u4e0b\u8868\u5c55\u793a Linux \u767c\u884c\u7248\u4e4b\u6240\u4ee5\u9069\u5408 AI \u7684\u539f\u56e0\uff1a<\/p>\n<div 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\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u8aaa\u660e<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6210\u719f\u7684\u5b89\u5168\u63a7\u7ba1<\/td>\n<td colspan=\"1\" rowspan=\"1\">Linux \u767c\u884c\u7248\u63d0\u4f9b\u4f01\u696d\u7d1a\u5b89\u5168\u6a5f\u5236\uff0c\u5c0d\u95dc\u9375 AI \u5de5\u4f5c\u8ca0\u8f09\u81f3\u95dc\u91cd\u8981\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5ee3\u6cdb\u7684 GPU \u8207\u6846\u67b6\u652f\u63f4<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5c0d\u591a\u7a2e GPU \u8207 AI \u6846\u67b6\u5177\u5099\u5ee3\u6cdb\u76f8\u5bb9\u6027\uff0c\u63d0\u5347\u6548\u80fd\u8207\u5f48\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Kubernetes \u89aa\u548c\u6027<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8207 Kubernetes \u7684\u6574\u5408\uff0c\u6709\u52a9\u65bc\u5be6\u73fe\u53ef\u64f4\u5c55 AI \u61c9\u7528\u7684\u5bb9\u5668\u7de8\u6392\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u8de8\u6df7\u5408\u74b0\u5883\u7684\u53ef\u79fb\u690d\u6027<\/td>\n<td colspan=\"1\" rowspan=\"1\">Linux \u7684\u9069\u61c9\u6027\u8b93\u5176\u53ef\u5728\u591a\u6a23\u5316\u904b\u7b97\u74b0\u5883\u4e2d\u7121\u7e2b\u904b\u4f5c\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u5728 Linux \u4e0a\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528 TensorFlow\u3001PyTorch\u3001Scikit\u2011Learn\u3001Keras \u548c OpenCV \u7b49\u4e3b\u6d41\u6846\u67b6\u3002\u9019\u4e9b\u5de5\u5177\u652f\u63f4 GPU \u52a0\u901f\uff0c\u4e26\u80fd\u5f88\u597d\u5730\u7d50\u5408 CUDA \u8207 ROCm\uff0c\u5f9e\u800c\u70ba\u6df1\u5ea6\u5b78\u7fd2\u8207\u6a5f\u5668\u5b78\u7fd2\u4efb\u52d9\u63d0\u4f9b\u6700\u4f73\u6548\u80fd\u3002<\/p>\n<p>\u4e0d\u540c Linux \u767c\u884c\u7248\u672c\u8eab\u4e5f\u5404\u5177\u7279\u8272\uff1a<\/p>\n<ul>\n<li>Ubuntu \u975e\u5e38\u9069\u5408\u521d\u5b78\u8005\u8207\u7814\u7a76\u4eba\u54e1\uff0c\u4f60\u53ef\u4ee5\u7372\u5f97\u9577\u671f\u652f\u63f4\uff08LTS\uff09\u53ca\u7a69\u5b9a\u7684 AI \u74b0\u5883\u3002<\/li>\n<li>Arch Linux \u63d0\u4f9b\u6700\u65b0\u8edf\u9ad4\u7248\u672c\uff0c\u9032\u968e\u4f7f\u7528\u8005\u53ef\u5728\u5176\u4e0a\u5617\u8a66\u524d\u6cbf AI \u5de5\u5177\u3002<\/li>\n<li>Fedora \u5728\u65b0\u529f\u80fd\u8207\u7a69\u5b9a\u6027\u4e4b\u9593\u53d6\u5f97\u5e73\u8861\uff0c\u4e26\u540c\u6642\u652f\u63f4 AMD \u8207 NVIDIA GPU\u3002<\/li>\n<li>Debian \u4ee5\u9577\u671f\u7a69\u5b9a\u6027\u898b\u9577\uff0c\u5f88\u9069\u5408\u4f5c\u70ba\u4f01\u696d\u7d1a AI \u5de5\u4f5c\u8ca0\u8f09\u7684\u57fa\u790e\u3002<\/li>\n<li>CentOS Stream \u8207 Rocky Linux \u66f4\u504f\u5411\u9ad8\u6548\u80fd\u904b\u7b97\u8207\u4f01\u696d\u5834\u666f\u3002<\/li>\n<li>Pop!_OS \u91dd\u5c0d\u7b46\u96fb\u8207\u5de5\u4f5c\u7ad9\u9032\u884c\u512a\u5316\uff0c\u8b93 AI \u5c08\u6848\u90e8\u7f72\u66f4\u52a0\u4fbf\u6377\u3002<\/li>\n<\/ul>\n<p>\u5728 Linux \u4e0a\uff0c\u4f60\u53ef\u4ee5\u8f15\u9b06\u64f4\u5c55 AI \u5de5\u4f5c\u8ca0\u8f09\u3002\u4f5c\u696d\u7cfb\u7d71\u8207 Kubernetes \u548c Docker \u6df1\u5ea6\u6574\u5408\uff0c\u4f7f\u4f60\u80fd\u7ba1\u7406\u5bb9\u5668\u8207\u53e2\u96c6\u3002\u9019\u4e5f\u8b93 Linux \u6210\u70ba\u96f2\u7aef\u64f4\u5c55\u8207\u5206\u6563\u5f0f AI \u4efb\u52d9\u7684\u9996\u9078\u5e73\u53f0\u3002<\/p>\n<p>\u7d04 87.8% \u7684\u6a5f\u5668\u5b78\u7fd2\u5de5\u4f5c\u8ca0\u8f09\u904b\u884c\u5728 Linux \u57fa\u790e\u67b6\u69cb\u4e4b\u4e0a\u3002\u4f60\u53ef\u4ee5\u8b93\u672c\u5730\u74b0\u5883\u8207\u6b63\u5f0f\u74b0\u5883\u9ad8\u5ea6\u4e00\u81f4\uff0c\u5f9e\u800c\u6e1b\u5c11\u932f\u8aa4\u4e26\u63d0\u5347\u6574\u9ad4\u6548\u7387\u3002<\/p>\n<h3>Windows<\/h3>\n<p>\u5982\u679c\u4f60\u8eab\u8655\u50b3\u7d71\u4f01\u696d\u74b0\u5883\uff0c\u53ef\u80fd\u6703\u5728 AI \u958b\u767c\u4e2d\u4f7f\u7528 Windows\u3002Windows \u4e5f\u652f\u63f4\u4e0d\u5c11 AI \u6846\u67b6\u8207\u5de5\u5177\uff0c\u4f46\u8207 Linux \u76f8\u6bd4\uff0c\u5728\u74b0\u5883\u5efa\u7f6e\u4e0a\u901a\u5e38\u6703\u9762\u81e8\u66f4\u591a\u6311\u6230\uff0c\u9700\u8981\u66f4\u8b39\u614e\u5730\u8655\u7406\u76f8\u4f9d\u6027\u8207\u9a45\u52d5\u7a0b\u5f0f\u3002<\/p>\n<p>\u4e0b\u8868\u5c0d\u6bd4 Windows \u8207 Linux \u5728 AI \u5de5\u4f5c\u8ca0\u8f09\u4e0a\u7684\u5dee\u7570\uff1a<\/p>\n<div 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\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">Windows 11<\/th>\n<th colspan=\"1\" rowspan=\"1\">Linux<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u74b0\u5883\u5efa\u7f6e<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5b89\u88dd\u6d41\u7a0b\u8f03\u8907\u96dc\uff0c\u963b\u529b\u8f03\u5927<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5efa\u7f6e\u6d41\u7a0b\u76f8\u5c0d\u7c21\u6f54<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u76f8\u4f9d\u6027\u7ba1\u7406<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u7248\u672c\u885d\u7a81\u66f4\u70ba\u5e38\u898b<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u76f8\u4f9d\u6027\u7ba1\u7406\u66f4\u53ef\u63a7<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6548\u80fd\u8868\u73fe<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u591a\u7a2e\u56e0\u7d20\u758a\u52a0\u5c0e\u81f4\u6574\u9ad4\u504f\u6162<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5c0d GPU \u52a0\u901f\u61c9\u7528\u6709\u8f03\u7a69\u5b9a\u7684\u6548\u80fd\u8868\u73fe<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5de5\u4f5c\u6d41\u7a0b\u6548\u7387<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8f03\u96e3\u6253\u9020\u9ad8\u6548\u7387\u5de5\u4f5c\u6d41\u7a0b<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u53cd\u61c9\u66f4\u5feb\uff0c\u5de5\u4f5c\u6d41\u7a0b\u66f4\u9806\u66a2<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u7a69\u5b9a\u6027<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u7cfb\u7d71\u66f4\u65b0\u8207\u4e2d\u65b7\u554f\u984c\u8f03\u591a<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u74b0\u5883\u7a69\u5b9a\u3001\u884c\u70ba\u53ef\u9810\u671f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u53ef\u4ee5\u5728 Windows \u4e0a\u57f7\u884c AI \u5de5\u4f5c\u8ca0\u8f09\uff0c\u4f46\u9700\u8981\u624b\u52d5\u5b89\u88dd NVIDIA \u9a45\u52d5\u7a0b\u5f0f\u548c CUDA\uff0c\u624d\u80fd\u555f\u7528 GPU \u52a0\u901f\u3002\u50cf Ollama \u9019\u985e\u5de5\u5177\u53ef\u4ee5\u5728 Windows \u4e0a\u4f7f\u7528\u786c\u9ad4\u52a0\u901f\uff0c\u53ea\u662f\u6574\u9ad4\u6d41\u7a0b\u6c92\u6709 Linux \u90a3\u9ebc\u9806\u66a2\u3002<\/p>\n<p>\u5728\u90e8\u7f72\u5c64\u9762\uff0c\u4f60\u65e2\u53ef\u4ee5\u5728\u672c\u5730\uff08on\u2011premise\uff09\u4e5f\u53ef\u4ee5\u5728\u96f2\u7aef\u904b\u884c AI \u5de5\u4f5c\u8ca0\u8f09\u3002\u5728\u672c\u5730\u90e8\u7f72\u6642\uff0c\u4f60\u53ef\u5b8c\u5168\u638c\u63a7\u786c\u9ad4\u8207\u8cc7\u6599\u5b89\u5168\uff1b\u5728\u96f2\u7aef\u90e8\u7f72\u6642\uff0c\u5247\u53ef\u4ee5\u7372\u5f97\u5f48\u6027\u7684\u8cc7\u6e90\u8abf\u5ea6\u8207\u5167\u5efa\u5099\u63f4\u3002\u4e0d\u904e\uff0c\u7576\u96f2\u7aef\u898f\u6a21\u64f4\u5927\u6642\uff0c\u4f60\u5fc5\u9808\u96a8\u6642\u7559\u610f\u6210\u672c\u4e0a\u5347\u8207\u6f5b\u5728\u5b89\u5168\u98a8\u96aa\u3002<\/p>\n<h3>macOS<\/h3>\n<p>\u5982\u679c\u4f60\u4e3b\u8981\u4f7f\u7528 Apple \u88dd\u7f6e\u6216\u9762\u5411 Apple \u751f\u614b\u7cfb\u958b\u767c\uff0c\u4e5f\u53ef\u4ee5\u9078\u64c7 macOS \u4f86\u627f\u8f09 AI \u4efb\u52d9\u3002\u6b64\u4f5c\u696d\u7cfb\u7d71\u70ba AI \u7814\u767c\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u7368\u7279\u5de5\u5177\uff1a\u4f60\u53ef\u4ee5\u900f\u904e Core ML \u5c07\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u6574\u5408\u9032\u61c9\u7528\uff1b\u85c9\u7531 BNNSGraph \u5efa\u7acb\u904b\u7b97\u5716\uff0c\u5728 CPU \u4e0a\u5be6\u73fe\u5373\u6642\u6a21\u578b\u63a8\u8ad6\uff1bMLX \u662f\u91dd\u5c0d Apple Silicon \u6700\u4f73\u5316\u7684\u958b\u6e90\u6578\u503c\u904b\u7b97\u8207\u6a5f\u5668\u5b78\u7fd2\u6846\u67b6\uff1bMetal \u5247\u70ba PyTorch \u548c Jax \u7b49\u4e3b\u6d41\u8a13\u7df4\u6846\u67b6\u63d0\u4f9b\u652f\u63f4\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u76f8\u5bb9\u6027\u3002<\/p>\n<div 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\">\u7279\u6027 \/ \u5de5\u5177<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u8aaa\u660e<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Core ML<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u7528\u65bc\u5c07\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u6574\u5408\u9032\u61c9\u7528\u7a0b\u5f0f\u7684\u6846\u67b6\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">BNNSGraph<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u65b0\u7684\u5716\u69cb\u5efa\u5de5\u5177\uff0c\u7528\u65bc\u5efa\u7acb\u7b97\u5b50\u5716\uff0c\u5be6\u73fe CPU \u4e0a\u7684\u5373\u6642\u6a21\u578b\u57f7\u884c\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">MLX<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9762\u5411\u6578\u503c\u904b\u7b97\u8207\u6a5f\u5668\u5b78\u7fd2\u7684\u958b\u6e90\u6846\u67b6\uff0c\u91dd\u5c0d Apple Silicon \u9032\u884c\u6700\u4f73\u5316\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Metal<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u652f\u63f4 PyTorch \u548c Jax \u7b49\u4e3b\u6d41\u8a13\u7df4\u6846\u67b6\uff0c\u589e\u5f37\u8207\u65e2\u6709\u5de5\u5177\u7684\u76f8\u5bb9\u6027\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>Apple M4 \u6676\u7247\u63a1\u7528\u7d71\u4e00\u8a18\u61b6\u9ad4\u67b6\u69cb\uff0cCPU\u3001GPU \u8207\u795e\u7d93\u5f15\u64ce\u5171\u4eab\u540c\u4e00\u8a18\u61b6\u9ad4\u6c60\uff0c\u9019\u5927\u5e45\u964d\u4f4e\u4e86 AI \u5de5\u4f5c\u8ca0\u8f09\u7684\u8a18\u61b6\u9ad4\u5b58\u53d6\u5ef6\u9072\u3002\u4f60\u53ef\u4ee5\u5728\u5c0f\u578b\u8207\u4e2d\u578b\u6a21\u578b\u4e0a\u7372\u5f97\u76f8\u7576\u512a\u7570\u7684\u6548\u80fd\u3002\u7136\u800c\uff0c\u5728\u5927\u898f\u6a21\u8a13\u7df4\u60c5\u5883\u4e2d\uff0c\u6191\u85c9\u6210\u719f\u751f\u614b\u8207\u6df1\u5ea6\u6700\u4f73\u5316\uff0c\u642d\u914d NVIDIA GPU \u7684 Linux \u4f9d\u7136\u4f54\u64da\u660e\u986f\u512a\u52e2\u3002<\/p>\n<p>\u6574\u9ad4\u4f86\u8aaa\uff0cApple M4 \u7684\u7d71\u4e00\u8a18\u61b6\u9ad4\u70ba\u90e8\u5206 AI \u4efb\u52d9\u5e36\u4f86\u6548\u80fd\u512a\u52e2\uff0c\u4f46\u82e5\u662f\u56b4\u8085\u7684\u5927\u898f\u6a21\u6a21\u578b\u8a13\u7df4\uff0c\u4f60\u901a\u5e38\u4ecd\u9700\u4ef0\u8cf4 Linux \u642d\u914d NVIDIA \u786c\u9ad4\u7684\u7d44\u5408\u3002<\/p>\n<h3>\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71<\/h3>\n<p>\u5728\u90e8\u5206\u7279\u6b8a\u60c5\u5883\u4e2d\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u5c08\u7528\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u3002\u9019\u985e\u4f5c\u696d\u7cfb\u7d71\u5e38\u7528\u65bc\u667a\u6167\u5bb6\u5ead\u88dd\u7f6e\u3001\u5de5\u696d\u7cfb\u7d71\u4ee5\u53ca\u908a\u7de3\u904b\u7b97\u3002\u4f8b\u5982\uff0cGoogle Nest \u8207 Amazon Alexa \u90fd\u900f\u904e AI \u5b78\u7fd2\u4f60\u7684\u504f\u597d\u4e26\u81ea\u52d5\u5316\u5404\u7a2e\u4efb\u52d9\u3002\u5728\u5de5\u5ee0\u4e2d\uff0cAI \u4f5c\u696d\u7cfb\u7d71\u53ef\u4ee5\u76e3\u63a7\u6a5f\u5668\u72c0\u614b\u3001\u57f7\u884c\u9810\u6e2c\u6027\u7dad\u8b77\u4e26\u63d0\u5347\u5b89\u5168\u6027\u3002<\/p>\n<p>\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u5728\u96f2\u7aef\u8207\u908a\u7de3\u60c5\u5883\u4e2d\u90fd\u8868\u73fe\u51fa\u8272\u3002\u5373\u4fbf\u5728\u7db2\u8def\u9023\u7dda\u6709\u9650\u7684\u60c5\u6cc1\u4e0b\uff0c\u4f60\u4e5f\u80fd\u5728\u908a\u7de3\u5074\u904b\u884c AI\u3002\u4f5c\u696d\u7cfb\u7d71\u6703\u7ba1\u7406\u983b\u5bec\u8207\u5ef6\u9072\uff0c\u78ba\u4fdd\u66f4\u65b0\u8207\u8cc7\u6599\u4fdd\u6301\u540c\u6b65\u3002\u50cf\u96f6\u4fe1\u4efb\uff08Zero Trust\uff09\u8207\u8cc7\u6599\u52a0\u5bc6\u7b49\u5b89\u5168\u6a5f\u5236\uff0c\u53ef\u5728\u50b3\u8f38\u904e\u7a0b\u4e2d\u4fdd\u8b77\u654f\u611f\u8cc7\u8a0a\uff1b\u800c\u667a\u6167\u8cc7\u6599\u904e\u6ffe\u8207\u58d3\u7e2e\u5247\u80fd\u5e6b\u52a9\u4f60\u7bc0\u7701\u983b\u5bec\u3002<\/p>\n<p>\u672a\u4f86\uff0c\u4f60\u6703\u770b\u5230\u66f4\u591a\u6df7\u5408\u5f0f AI \u7cfb\u7d71\u3002\u9019\u985e\u4f5c\u696d\u7cfb\u7d71\u6703\u6839\u64da\u7db2\u8def\u60c5\u6cc1\u5728\u96f2\u7aef\u8207\u908a\u7de3\u4e4b\u9593\u52d5\u614b\u9077\u79fb\u4efb\u52d9\u3002\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u5fc5\u9808\u80fd\u8655\u7406\u9ad8\u901f\u8cc7\u6599\uff0c\u4e26\u5728\u4e0d\u540c\u786c\u9ad4\u4e4b\u9593\u5354\u540c\u5de5\u4f5c\u3002\u9ad8\u6548\u7387\u7684\u7cfb\u7d71\u8a2d\u8a08\u53ef\u4ee5\u8b93\u908a\u7de3\u88dd\u7f6e\u5728\u66f4\u4f4e\u529f\u8017\u8207\u66f4\u5c11\u8a18\u61b6\u9ad4\u7684\u524d\u63d0\u4e0b\u904b\u884c AI\u3002<\/p>\n<blockquote><p>\u63d0\u793a\uff1a\u5982\u679c\u4f60\u9700\u8981\u96e2\u7dda AI\u3001\u5373\u6642\u81ea\u52d5\u5316\u6216\u8207\u667a\u6167\u88dd\u7f6e\u7684\u6df1\u5ea6\u6574\u5408\uff0c\u53ef\u4ee5\u8003\u616e\u9078\u64c7\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u3002<\/p><\/blockquote>\n<p>\u4f60\u5fc5\u9808\u7d50\u5408\u81ea\u8eab AI \u5de5\u4f5c\u8ca0\u8f09\u3001\u786c\u9ad4\u689d\u4ef6\u8207\u90e8\u7f72\u65b9\u5f0f\uff0c\u4f86\u6bd4\u8f03\u5404\u7a2e\u4f5c\u696d\u7cfb\u7d71\u3002Linux \u767c\u884c\u7248\u5728\u5927\u591a\u6578 AI \u4efb\u52d9\u4e2d\u63d0\u4f9b\u6700\u9ad8\u7684\u5f48\u6027\u8207\u6548\u80fd\uff1bWindows \u8207 macOS \u5247\u70ba\u7279\u5b9a\u4f7f\u7528\u65cf\u7fa4\u63d0\u4f9b\u7368\u7279\u512a\u52e2\uff1b\u800c\u5c08\u7528 AI \u4f5c\u696d\u7cfb\u7d71\u5247\u6b63\u5728\u70ba\u65b0\u4e00\u4ee3\u908a\u7de3\u8207\u96f2\u7aef\u4eba\u5de5\u667a\u6167\u63d0\u4f9b\u52d5\u529b\u3002<\/p>\n<h2><strong>\u5c07 AI \u5de5\u4f5c\u8ca0\u8f09\u8207\u4f5c\u696d\u7cfb\u7d71\u6b63\u78ba\u5339\u914d<\/strong><\/h2>\n<h3>\u7814\u7a76\u8207\u539f\u578b\u9a57\u8b49<\/h3>\n<p>\u5728\u9032\u884c AI \u7814\u7a76\u6216\u539f\u578b\u9a57\u8b49\u968e\u6bb5\uff0c\u4f60\u9700\u8981\u4e00\u500b\u5f48\u6027\u9ad8\u4e14\u6613\u65bc\u5efa\u7f6e\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u591a\u6578\u958b\u767c\u8005\u6703\u9078\u64c7 Ubuntu \u6216 Fedora \u7b49 Linux \u767c\u884c\u7248\u3002\u9019\u4e9b AI \u4f5c\u696d\u7cfb\u7d71\u53ef\u4ee5\u8b93\u4f60\u5feb\u901f\u5b89\u88dd\u65b0\u6846\u67b6\u8207\u51fd\u5f0f\u5eab\uff0c\u65b9\u4fbf\u4f60\u5617\u8a66\u4e0d\u540c\u6a21\u578b\u8207\u5de5\u5177\uff0c\u800c\u4e0d\u5fc5\u627f\u53d7\u904e\u591a\u74b0\u5883\u8a2d\u5b9a\u8ca0\u64d4\u3002\u5982\u679c\u4f60\u4f7f\u7528 macOS\uff0c\u5247\u53ef\u4ee5\u5229\u7528 Core ML \u8207 MLX \u7b49\u5de5\u5177\uff0c\u5728 Apple \u786c\u9ad4\u4e0a\u5efa\u69cb\u8207\u6e2c\u8a66 AI \u6a21\u578b\u3002Windows \u540c\u6a23\u652f\u63f4 AI \u7814\u7a76\uff0c\u4f46\u4f60\u901a\u5e38\u6703\u9762\u81e8\u66f4\u591a\u5efa\u7f6e\u6b65\u9a5f\u3002<\/p>\n<blockquote><p>\u63d0\u793a\uff1a\u8acb\u9078\u64c7\u8207\u5718\u968a\u6280\u80fd\u7d44\u5408\u4ee5\u53ca\u76ee\u6a19\u6846\u67b6\u76f8\u7b26\u7684\u4f5c\u696d\u7cfb\u7d71\uff0c\u9019\u80fd\u5927\u5e45\u7bc0\u7701\u6642\u9593\uff0c\u8b93\u4f60\u66f4\u5c08\u6ce8\u5728 AI \u69cb\u60f3\u672c\u8eab\u3002<\/p><\/blockquote>\n<h3>\u8a13\u7df4\u8207\u90e8\u7f72<\/h3>\n<p>\u5728\u9032\u884c\u5927\u898f\u6a21 AI \u6a21\u578b\u8a13\u7df4\u8207\u90e8\u7f72\u6642\uff0c\u4f60\u9700\u8981\u4e00\u500b\u517c\u5177\u9ad8\u6548\u80fd\u8207\u9ad8\u53ef\u64f4\u5c55\u6027\u7684\u4f5c\u696d\u7cfb\u7d71\u3002\u8a31\u591a\u7d44\u7e54\u6703\u63a1\u7528\u904b\u884c\u65bc Linux \u6216\u6df7\u5408 AI \u4f5c\u696d\u7cfb\u7d71\u4e0a\u7684\u96f2\u7aef\u5e73\u53f0\u3002\u4e0b\u8868\u5217\u51fa\u6578\u500b\u5e38\u898b\u5e73\u53f0\u53ca\u5176\u95dc\u9375\u7279\u6027\uff1a<\/p>\n<div 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\">\u5e73\u53f0<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u95dc\u9375\u7279\u6027<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Mirantis<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u539f\u751f Kubernetes\u3001metal\u2011to\u2011model\u3001\u652f\u63f4\u6df7\u5408\u96f2\u8207\u908a\u7de3\uff1b\u5177\u5099\u5f37\u5927\u53ef\u89c0\u6e2c\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Amazon SageMaker<\/td>\n<td colspan=\"1\" rowspan=\"1\">AWS \u4e0a\u7684\u53d7\u7ba1\u8a13\u7df4\u8207\u90e8\u7f72\u5e73\u53f0\uff1b\u63d0\u4f9b\u5167\u5efa\u6f14\u7b97\u6cd5\u4e26\u652f\u63f4\u81ea\u52d5\u64f4\u5c55\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Azure Machine Learning<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u904b\u884c\u65bc Azure \u7684\u53d7\u7ba1 ML \u5e73\u53f0\uff1b\u63d0\u4f9b MLOps \u8207\u7aef\u9ede\u7ba1\u7406\u529f\u80fd\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Google Vertex AI<\/td>\n<td colspan=\"1\" rowspan=\"1\">Google Cloud \u4e0a\u7d71\u4e00\u7684 ML \u5e73\u53f0\uff1b\u652f\u63f4\u9810\u5148\u8a13\u7df4\u6a21\u578b\u8207\u81ea\u8a02\u6a21\u578b\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Databricks MLOps<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u6574\u5408\u8cc7\u6599\u8207\u6a5f\u5668\u5b78\u7fd2\u7684\u5e73\u53f0\uff1b\u63d0\u4f9b\u7279\u5fb5\u5eab\u8207\u6a21\u578b\u8a3b\u518a\u529f\u80fd\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">NVIDIA AI Enterprise<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u91dd\u5c0d GPU \u6700\u4f73\u5316\u7684\u5b8c\u6574\u8edf\u9ad4\u5806\u758a\uff1b\u652f\u63f4\u672c\u5730\u8207\u96f2\u7aef\u90e8\u7f72\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u958b\u6e90\u65b9\u6848<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5177\u5099\u9ad8\u5ea6\u5f48\u6027\u8207\u53ef\u79fb\u690d\u6027\uff0c\u4f46\u9700\u8981\u6295\u5165\u66f4\u591a\u6574\u5408\u5de5\u4f5c\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u900f\u904e\u9019\u4e9b AI \u4f5c\u696d\u7cfb\u7d71\u8207\u5e73\u53f0\uff0c\u4f60\u53ef\u4ee5\u7372\u5f97\u66f4\u4f73\u6548\u80fd\u8207\u66f4\u8f15\u9b06\u7684\u64f4\u5c55\u80fd\u529b\uff0c\u540c\u6642\u66f4\u6709\u6548\u7387\u5730\u7ba1\u7406\u8cc7\u6e90\u4e26\u76e3\u63a7 AI \u5de5\u4f5c\u8ca0\u8f09\u3002<\/p>\n<h3>\u908a\u7de3\u8207\u5d4c\u5165\u5f0f AI<\/h3>\n<p>\u5728\u908a\u7de3\u8207\u5d4c\u5165\u5f0f\u60c5\u5883\u4e2d\uff0c\u4f5c\u696d\u7cfb\u7d71\u9700\u8981\u5728\u6709\u9650\u8cc7\u6e90\u8207\u5373\u6642\u53cd\u61c9\u4e4b\u9593\u53d6\u5f97\u5e73\u8861\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u57fa\u65bc Yocto \u7684 Embedded Linux \u4f5c\u70ba\u53ef\u81ea\u8a02\u7684\u57fa\u790e\u7cfb\u7d71\uff1bNVIDIA JetPack \u5247\u5728 Jetson \u5e73\u53f0\u4e0a\u70ba AI \u63d0\u4f9b\u5f37\u52c1\u6548\u80fd\uff0c\u975e\u5e38\u9069\u5408\u908a\u7de3 AI \u4efb\u52d9\u3002<\/p>\n<ul>\n<li>\u4f4e\u5ef6\u9072\u53cd\u61c9\u5728\u81ea\u52d5\u99d5\u99db\u7b49\u5373\u6642\u61c9\u7528\u60c5\u5883\u4e2d\u7279\u5225\u91cd\u8981\u3002<\/li>\n<li>\u9ad8\u6548\u7684\u8cc7\u6e90\u7ba1\u7406\u53ef\u4ee5\u8b93\u4f60\u5728\u66f4\u5c11\u8a18\u61b6\u9ad4\u8207\u529f\u8017\u7684\u524d\u63d0\u4e0b\u57f7\u884c\u8907\u96dc\u6a21\u578b\u3002<\/li>\n<li>\u5373\u6642\u4f5c\u696d\u7cfb\u7d71\uff08RTOS\uff09\u80fd\u5920\u512a\u5148\u8655\u7406\u95dc\u9375\u4efb\u52d9\u4e26\u59a5\u5584\u7ba1\u7406\u8a18\u61b6\u9ad4\u3002<\/li>\n<li>RTOS \u652f\u63f4\u591a\u7a2e\u901a\u8a0a\u5354\u5b9a\u8207\u6a21\u7d44\u5316\u8a2d\u8a08\uff0c\u4fbf\u65bc\u64f4\u5c55\u908a\u7de3 AI \u7cfb\u7d71\u3002<\/li>\n<\/ul>\n<p>\u4f60\u9700\u8981 AI \u4f5c\u696d\u7cfb\u7d71\u5177\u5099\u52d5\u614b\u8cc7\u6e90\u914d\u7f6e\u80fd\u529b\uff0c\u4e26\u5728\u91cd\u8ca0\u8f09\u4e0b\u4f9d\u7136\u7dad\u6301\u826f\u597d\u53cd\u61c9\u3002<\/p>\n<h3>\u4f01\u696d\u8207\u96f2\u7aef\u74b0\u5883<\/h3>\n<p>\u5728\u4f01\u696d\u8207\u96f2\u7aef\u74b0\u5883\u4e2d\uff0cLinux \u8207 Windows \u4ecd\u662f\u6700\u5e38\u898b\u7684 AI \u4f5c\u696d\u7cfb\u7d71\u3002Linux \u56e0\u5176\u7a69\u5b9a\u6027\u8207\u4f01\u696d\u7d1a\u652f\u63f4\uff0c\u5728\u4f3a\u670d\u5668\u8207\u96f2\u7aef\u904b\u7b97\u9818\u57df\u6975\u70ba\u666e\u53ca\uff1bWindows \u5247\u6191\u85c9\u53cb\u5584\u4ecb\u9762\u8207\u5ee3\u6cdb\u8edf\u9ad4\u76f8\u5bb9\u6027\uff0c\u5728\u5546\u52d9\u61c9\u7528\u4e2d\u4f54\u6709\u4e00\u5e2d\u4e4b\u5730\u3002<\/p>\n<div 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\">\u4f5c\u696d\u7cfb\u7d71<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u8aaa\u660e<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Linux<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5ee3\u6cdb\u7528\u65bc\u4f3a\u670d\u5668\u8207\u96f2\u7aef\u57fa\u790e\u67b6\u69cb\uff1b\u63d0\u4f9b\u7a69\u5b9a\u53ef\u9760\u7684\u4f01\u696d\u7d1a\u767c\u884c\u7248\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Microsoft Windows<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5728\u4f01\u696d\u61c9\u7528\u4e2d\u5341\u5206\u666e\u53ca\uff1b\u901a\u7528\u6027\u5f37\u4e14\u6613\u65bc\u4e0a\u624b\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u96f2\u7aef AI \u5de5\u4f5c\u8ca0\u8f09\u5c0d\u5b89\u5168\u6027\u8207\u53ef\u64f4\u5c55\u6027\u63d0\u51fa\u5f88\u9ad8\u8981\u6c42\u3002\u4e0b\u8868\u5c55\u793a\u5176\u4e2d\u5e7e\u500b\u95dc\u9375\u9762\u5411\uff1a<\/p>\n<div 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\">\u9762\u5411<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u8aaa\u660e<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u8cc7\u6599\u5b89\u5168<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5171\u7528\u786c\u9ad4\u6703\u589e\u52a0\u653b\u64ca\u9762\u8207\u5b89\u5168\u98a8\u96aa\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u9075\u5faa\u6846\u67b6<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5404\u7a2e\u6cd5\u898f\u8981\u6c42\u5c0d\u8cc7\u6599\u9694\u96e2\u63d0\u51fa\u56b4\u683c\u6a19\u6e96\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u79df\u6236\u9694\u96e2\u7b49\u7d1a<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u6703\u76f4\u63a5\u5f71\u97ff\u6548\u80fd\u8207\u5b89\u5168\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6210\u672c\u53ef\u9810\u671f\u6027<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u56fa\u5b9a\u50f9\u683c\u6a21\u5f0f\u6709\u52a9\u65bc\u9810\u7b97\u898f\u5283\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u61c9\u9078\u64c7\u80fd\u5920\u6eff\u8db3\u81ea\u5df1\u5728\u5b89\u5168\u3001\u5408\u898f\u8207\u64f4\u5c55\u6027\u9700\u6c42\u7684\u4f5c\u696d\u7cfb\u7d71\uff0c\u4ee5\u652f\u6490\u76f8\u61c9\u7684\u4eba\u5de5\u667a\u6167\u5c08\u6848\u3002<\/p>\n<h2><strong>\u5982\u4f55\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71<\/strong><\/h2>\n<p>\u7576\u4f60\u70ba AI \u5c08\u6848\u9078\u64c7\u4f5c\u696d\u7cfb\u7d71\u6642\uff0c\u5176\u5be6\u5c31\u662f\u5728\u70ba\u5c08\u6848\u6210\u529f\u6253\u4e0b\u57fa\u790e\u3002\u4f60\u9700\u8981\u9075\u5faa\u4e00\u5957\u660e\u78ba\u7684\u65b9\u6cd5\uff0c\u5c07 AI \u5de5\u4f5c\u8ca0\u8f09\u8207\u6700\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71\u5339\u914d\u8d77\u4f86\u3002\u672c\u7bc0\u5c07\u63d0\u4f9b\u4e00\u4e9b\u5be6\u7528\u6b65\u9a5f\uff0c\u5354\u52a9\u4f60\u505a\u51fa\u66f4\u660e\u667a\u7684\u9078\u64c7\u3002<\/p>\n<h3>\u8a55\u4f30\u9700\u6c42<\/h3>\n<p>\u5efa\u8b70\u5f9e\u6574\u9ad4\u8a2d\u8a08\u65b9\u6cd5\u8457\u624b\u3002\u5148\u5beb\u4e0b\u4f60\u70ba\u4f55\u9700\u8981 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href=\"https:\/\/www.simcentric.com\/tc\/japan-dedicated-server-tc\/how-to-choose-the-right-operating-system-for-ai-workloads\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":33057,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8116],"tags":[12021,12022,12023,12024,12025],"class_list":["post-33061","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-japan-dedicated-server-tc","tag-ai-operating-system","tag-choose-os-for-ai-workloads","tag-linux-for-machine-learning","tag-windows-for-ai-development","tag-macos-for-ai-projects"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u5982\u4f55\u70ba AI \u5de5\u4f5c\u8ca0\u8f09\u9078\u64c7\u5408\u9069\u7684\u4f5c\u696d\u7cfb\u7d71<\/title>\n<meta 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