{"id":3261,"date":"2026-03-12T10:38:30","date_gmt":"2026-03-12T02:38:30","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/3261"},"modified":"2026-03-12T10:38:30","modified_gmt":"2026-03-12T02:38:30","slug":"10%e5%88%86%e9%92%9f%e9%83%a8%e7%bd%b2%e7%a7%81%e6%9c%89autodl%ef%bc%9a%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97gpu%e4%ba%91%e4%b8%bb%e6%9c%bajupyterhub%ef%bc%8c%e7%a7%91%e7%a0%94%e5%9b%a2%e9%98%9f","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/3261","title":{"rendered":"10\u5206\u949f\u90e8\u7f72\u79c1\u6709AutoDL\uff1a\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a+JupyterHub\uff0c\u79d1\u7814\u56e2\u961f\u79d2\u53d8\u300c\u7b97\u529b\u5bcc\u7fc1\u300d"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.starverse-ai.com\/guide\/wp-content\/uploads\/2026\/03\/1773283110_6628d1.png\" alt=\"10\u5206\u949f\u90e8\u7f72\u79c1\u6709AutoDL\uff1a\u661f\u5b87\u667a\u7b97GPU\u4e91\u4e3b\u673a+JupyterHub\uff0c\u79d1\u7814\u56e2\u961f\u79d2\u53d8\u300c\u7b97\u529b\u5bcc\u7fc1\u300d\" style=\"display:block; margin:10px auto; max-width:100%; height:auto;\" \/><\/figure>\n<blockquote>\n<p>\u201c\u4eca\u5e74 3 \u6708\uff0cNature \u5b50\u520a\u5bf9\u5168\u7403 1,200 \u540d\u7855\u535a\u751f\u53d1\u8d77\u8c03\u7814\uff0c\u2018\u7b97\u529b\u4e0d\u8db3\u2019\u9996\u6b21\u8d85\u8fc7\u2018\u5ba1\u7a3f\u5468\u671f\u2019\uff0c\u8dc3\u5347\u4e3a\u79d1\u7814\u6700\u5927\u74f6\u9888\u3002\u201d<br \/>\n\u540c\u4e00\u5468\uff0c\u5317\u4eac\u67d0 985 \u9ad8\u6821 GPU \u96c6\u7fa4\u6392\u53f7\u7cfb\u7edf\u663e\u793a\uff1aA100 \u5361\u9700\u7b49\u5f85 13 \u5929\uff0cRTX 3090 \u4e5f\u8981 5 \u5929\u2014\u2014\u800c NeurIPS \u6458\u8981\u63d0\u4ea4\u53ea\u5269 4 \u5929\u3002  <\/p>\n<\/blockquote>\n<p>\u6392\u961f\u3001\u51b2\u7a81\u3001\u6b7b\u673a\uff0c\u51e0\u4e4e\u6210\u4e86 AI \u79d1\u7814\u7684\u201c\u8001\u4e09\u6837\u201d\u3002\u5f53\u672c\u5730\u663e\u5361\u4ef7\u683c\u4f9d\u65e7\u9ad8\u4f01\uff0c\u4e91\u5382\u5546\u53c8\u5e38\u628a GPU \u670d\u52a1\u5668\u79df\u7528\u505a\u6210\u201c\u4f01\u4e1a\u5927\u5355\u201d\u751f\u610f\uff0c\u4e00\u4e2a 3\u20135 \u4eba\u7684\u5c0f\u56e2\u961f\uff0c\u5230\u5e95\u600e\u6837\u4f4e\u6210\u672c\u3001\u4f4e\u98ce\u9669\u3001\u9ad8\u6548\u7387\u5730\u8dd1\u5b8c\u5b9e\u9a8c\uff1f\u7b54\u6848\u5176\u5b9e\u85cf\u5728\u201c\u4e91\u4e3b\u673a+JupyterHub\u201d\u8fd9\u5bf9\u9ec4\u91d1\u7ec4\u5408\u91cc\uff0c\u800c<a href=\"https:\/\/www.starverse-ai.com\">\u661f\u5b87\u667a\u7b97<\/a>\u628a\u90e8\u7f72\u65f6\u95f4\u538b\u7f29\u5230\u4e86 10 \u5206\u949f\u3002<\/p>\n<hr \/>\n<h2>\u75db\u70b9\uff1a\u4e24\u5468\u6392\u961f\u3001\u73af\u5883\u51b2\u7a81\uff0c\u79d1\u7814\u201c\u5361\u201d\u5728\u7b2c\u4e00\u884c\u4ee3\u7801<\/h2>\n<ul>\n<li>\u9ad8\u6821\u5171\u4eab\u96c6\u7fa4\u5b9e\u884c\u201c\u5148\u5230\u5148\u5f97\u201d\uff0c\u4e00\u6b21\u5b9e\u9a8c\u9519\u8fc7\u7a97\u53e3\uff0c\u5c31\u8981\u518d\u7b49\u4e24\u5468\uff1b  <\/li>\n<li>\u6bcf\u540d\u5b66\u751f\u672c\u5730\u73af\u5883\u4e0d\u540c\uff0cPyTorch 1.13 \u4e0e 2.1 \u6df7\u88c5\uff0cconda \u73af\u5883\u4e00\u51b2\u7a81\uff0cdebug \u4e09\u5929\u8d77\u6b65\uff1b  <\/li>\n<li>\u597d\u4e0d\u5bb9\u6613\u62a2\u5230\u5361\uff0c\u5374\u56e0\u4e3a CUDA \u7248\u672c\u4e0d\u5339\u914d\uff0c\u6a21\u578b\u8dd1\u5230 90% \u62a5\u9519\u9000\u51fa\uff0c\u663e\u5b58\u76f4\u63a5\u6e05\u7a7a\u3002  <\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u770b\u4f3c\u7410\u788e\u7684\u201c\u5c0f\u6982\u7387\u4e8b\u4ef6\u201d\uff0c\u53e0\u52a0\u8d77\u6765\u8db3\u4ee5\u8ba9\u4e00\u7bc7\u9876\u4f1a\u8bba\u6587\u80ce\u6b7b\u8179\u4e2d\u3002<\/p>\n<hr \/>\n<h2>\u65b9\u6848\uff1a\u661f\u5b87\u667a\u7b97\u300c\u4e00\u952e\u955c\u50cf\u300d= Ubuntu 22.04 + CUDA 12.1 + JupyterHub + Python 3.9<\/h2>\n<p>\u661f\u5b87\u667a\u7b97\u628a\u6700\u5e38\u88ab\u201c\u8e29\u5751\u201d\u7684\u5e95\u5c42\u4f9d\u8d56\u63d0\u524d\u6253\u5305\u6210\u5b98\u65b9\u955c\u50cf\u3002\u5f00\u7bb1\u5373\u7528\uff0c\u610f\u5473\u7740\uff1a<br \/>\n&#8211; \u7cfb\u7edf\u3001\u9a71\u52a8\u3001CUDA\u3001cuDNN \u5168\u90e8\u5bf9\u9f50\uff0c\u65e0\u9700\u518d\u641c\u6559\u7a0b\u201c\u8e29\u96f7\u201d\uff1b<br \/>\n&#8211; JupyterHub \u5df2\u542f\u7528\u591a\u7528\u6237\u9694\u79bb\uff0c\u5bfc\u5e08\u4e3b\u8d26\u53f7\u4e00\u952e\u7ed9\u7855\u535a\u751f\u5f00\u5b50\u8d26\u53f7\uff0c\u4ee3\u7801\u3001\u6570\u636e\u3001\u73af\u5883\u4e92\u4e0d\u5e72\u6270\uff1b<br \/>\n&#8211; \u955c\u50cf\u5185\u9884\u88c5 1,400+ \u516c\u5171\u6a21\u578b\u4e0e 50 \u7ec4\u5e38\u7528\u6570\u636e\u96c6\uff0c\u8c03\u7528\u4e00\u884c\u547d\u4ee4\u5373\u53ef\u6302\u8f7d\uff0c\u7701\u53bb 30 GB \u4e0b\u8f7d\u7b49\u5f85\u3002  <\/p>\n<p>\u66f4\u91cd\u8981\u7684\u662f\uff0c\u5e73\u53f0 GPU \u4e91\u4e3b\u673a \u652f\u6301\u6309\u5c0f\u65f6\u8ba1\u8d39\uff0cA100 40 GB \u4f4e\u81f3 1.2 \u5143\/GPU\/h\uff0c<strong>\u79d1\u7814\u57fa\u91d1\u53ef\u76f4\u63a5\u8d70\u201c\u6d4b\u8bd5\u5316\u9a8c\u52a0\u5de5\u8d39\u201d\u79d1\u76ee\u62a5\u9500<\/strong>\uff0c\u8d22\u52a1\u8001\u5e08\u4e0d\u518d\u76b1\u7709\u3002<\/p>\n<hr \/>\n<h2>\u4e09\u6b65 10 \u5206\u949f\uff1a\u4ece\u6ce8\u518c\u5230\u5168\u7ec4\u201c\u7b97\u529b\u81ea\u7531\u201d<\/h2>\n<ol>\n<li><strong>\u6ce8\u518c\u5373\u9001 10 \u5143\u4f53\u9a8c\u91d1<\/strong><br \/>\n   \u6253\u5f00 <a href=\"https:\/\/www.starverse-ai.com\">starverse-ai.com<\/a> \u5fae\u4fe1\u626b\u7801\uff0c\u5b9e\u540d\u8ba4\u8bc1\u540e\u81ea\u52a8\u5230\u8d26\uff0c\u53ef\u62b5 8 \u5c0f\u65f6 RTX 4090 \u6216 3 \u5c0f\u65f6 A100 \u5c1d\u9c9c\u3002  <\/li>\n<li><strong>\u521b\u5efa\u5b9e\u4f8b<\/strong><br \/>\n   \u63a7\u5236\u53f0\u70b9\u51fb\u300c\u65b0\u5efa GPU \u4e91\u4e3b\u673a\u300d\u2192 \u9009\u62e9\u300cAI \u79d1\u7814\u7248\u300d\u955c\u50cf \u2192 \u52fe\u9009 GPU \u578b\u53f7\u4e0e\u6570\u91cf\u3002\u82e5 A100 \u663e\u793a\u201c\u552e\u7f44\u201d\uff0c\u53ef\u5207 RTX 4090\uff0824 GB\uff09\u5148\u8dd1\u6d88\u878d\u5b9e\u9a8c\uff0c\u663e\u5b58\u4f9d\u65e7\u5bcc\u4f59\u3002  <\/li>\n<li><strong>\u5206\u4eab Hub \u94fe\u63a5<\/strong><br \/>\n   \u5b9e\u4f8b\u542f\u52a8\u540e\uff0c\u5728\u300c\u5e94\u7528\u4e2d\u5fc3\u300d\u6253\u5f00 JupyterHub\uff0c\u590d\u5236 https \u94fe\u63a5\u7ed9\u7ec4\u5458\uff1b\u5bf9\u65b9\u7528\u5b50\u8d26\u53f7\u767b\u5f55\u5373\u53ef\u5728\u7ebf\u5199\u4ee3\u7801\u3001\u8c03\u6a21\u578b\u3001\u770b TensorBoard\uff0c\u5168\u7a0b\u65e0\u9700\u518d\u88c5\u4efb\u4f55\u8f6f\u4ef6\u3002  <\/li>\n<\/ol>\n<p>\u4ece\u6ce8\u518c\u5230\u5168\u7ec4\u5728\u7ebf\u8c03\u8bd5\uff0c\u5e73\u5747\u8017\u65f6 10 \u5206 37 \u79d2\u2014\u2014\u6bd4\u9ad8\u6821\u96c6\u7fa4\u7684\u6392\u53f7\u786e\u8ba4\u90ae\u4ef6\u8fd8\u5feb\u3002<\/p>\n<hr \/>\n<h2>\u7ba1\u7406\uff1aCPU\/GPU\/\u5185\u5b58\u5b9e\u65f6\u76d1\u63a7 + \u5230\u671f\u81ea\u52a8\u5907\u4efd<\/h2>\n<ul>\n<li>\u63a7\u5236\u53f0\u5185\u7f6e\u300c\u7b97\u529b\u9762\u677f\u300d\uff0c\u6bcf\u79d2\u5237\u65b0 GPU \u5229\u7528\u7387\u3001\u663e\u5b58\u5360\u7528\u3001\u6e29\u5ea6\u66f2\u7ebf\uff0c\u4e00\u773c\u8bc6\u522b\u201c\u50f5\u5c38\u8fdb\u7a0b\u201d\uff1b  <\/li>\n<li>\u53ef\u8bbe\u300c\u81ea\u52a8\u91ca\u653e\u300d\u7b56\u7565\uff0cGPU \u7a7a\u95f2 30 \u5206\u949f\u5373\u5173\u673a\uff0c\u9632\u6b62\u5b66\u751f\u5fd8\u5173\u673a\u5668\u9020\u6210\u6d6a\u8d39\uff1b  <\/li>\n<li>\u5b9e\u4f8b\u5230\u671f\u524d 6 \u5c0f\u65f6\uff0c\u7cfb\u7edf\u81ea\u52a8\u6253\u5feb\u7167\u5e76\u8f6c\u5b58 OSS\uff0c\u540e\u7eed\u7eed\u8d39\u6216\u6362\u5361\u53ef 30 \u79d2\u6062\u590d\u73b0\u573a\uff0c\u5b9e\u9a8c\u7ed3\u679c\u4e0d\u4e22\u5931\u3002  <\/li>\n<\/ul>\n<p>\u5bfc\u5e08\u518d\u4e5f\u4e0d\u7528\u51cc\u6668\u4e24\u70b9\u767b\u5f55\u670d\u52a1\u5668\uff0c\u5e2e\u5b66\u751f\u6740\u8fdb\u7a0b\u3001\u62f7\u6570\u636e\u3002<\/p>\n<hr \/>\n<h2>\u8d39\u7528\uff1aA100 1.2 \u5143\/GPU\/h\uff0c\u79d1\u7814\u9884\u7b97\u53ef\u627f\u53d7<\/h2>\n<p>\u4ee5 NeurIPS \u4e00\u7bc7\u4e3b\u4f1a\u8bba\u6587\u4e3a\u4f8b\uff0c\u5b8c\u6574\u590d\u73b0 + \u6d88\u878d\u5b9e\u9a8c\u901a\u5e38\u9700 800\u20131,000 GPU\u00b7h\uff1a<br \/>\n&#8211; \u672c\u5730\u8d2d\u7f6e 4 \u5361 A100 \u670d\u52a1\u5668 \u2248 28 \u4e07\u5143\uff0c\u5916\u52a0 3 \u5e74\u7535\u8d39 2 \u4e07\uff1b<br \/>\n&#8211; \u661f\u5b87\u667a\u7b97\u6309\u91cf\u79df\u7528\uff0c1,000 GPU\u00b7h \u00d7 1.2 \u5143 = 1,200 \u5143\uff0c<strong>\u6210\u672c\u4ec5\u4e3a\u81ea\u8d2d\u7684 0.4%<\/strong>\uff1b<br \/>\n&#8211; \u82e5\u9009\u62e9 RTX 4090 0.6 \u5143\/GPU\/h\uff0c\u5219\u518d\u7701\u4e00\u534a\uff0c<strong>800 \u5143\u8dd1\u5b8c\u4e00\u7bc7\u9876\u4f1a<\/strong>\u3002  <\/p>\n<p>\u5bf9\u7ecf\u8d39\u6709\u9650\u7684\u9752\u5e74\u8001\u5e08\uff0c\u300cGPU\u670d\u52a1\u5668\u79df\u7528\u300d\u771f\u6b63\u505a\u5230\u4e86\u201c\u82b1\u6d4b\u8bd5\u8d39\uff0c\u505a\u7cfb\u7edf\u7ea7\u7814\u7a76\u201d\u3002<\/p>\n<hr \/>\n<h2>\u6848\u4f8b\uff1a\u67d0 985 \u5b9e\u9a8c\u5ba4\u4e91\u7aef\u53d1 NeurIPS\uff0c0 \u672c\u5730\u663e\u5361<\/h2>\n<p>2023 \u5e74 6 \u6708\uff0c\u8be5\u5b9e\u9a8c\u5ba4 2 \u540d\u535a\u58eb\u751f + 3 \u540d\u7855\u58eb\u751f\u63a5\u5230\u201c\u5f00\u653e\u4e16\u754c\u68c0\u6d4b\u201d\u65b0\u8d5b\u9053\uff0c\u8ddd\u79bb\u6295\u7a3f\u4ec5 70 \u5929\uff1a<br \/>\n&#8211; 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