{"id":3476,"date":"2026-03-13T16:05:28","date_gmt":"2026-03-13T08:05:28","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/3476"},"modified":"2026-03-13T16:05:28","modified_gmt":"2026-03-13T08:05:28","slug":"%e7%a7%91%e7%a0%94%e6%8a%a2%e5%8f%91%e8%ae%ba%e6%96%87%e5%88%a9%e5%99%a8%ef%bc%9a%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97gpu%e7%a7%9f%e8%b5%81%e6%b5%b7%e9%87%8f%e5%85%ac%e5%bc%80%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/3476","title":{"rendered":"\u79d1\u7814\u62a2\u53d1\u8bba\u6587\u5229\u5668\uff1a\u661f\u5b87\u667a\u7b97GPU\u79df\u8d41+\u6d77\u91cf\u516c\u5f00\u6570\u636e\u96c6\uff0c3\u5929\u590d\u73b0SOTA\u7ed3\u679c"},"content":{"rendered":"
\"\u79d1\u7814\u62a2\u53d1\u8bba\u6587\u5229\u5668\uff1a\u661f\u5b87\u667a\u7b97GPU\u79df\u8d41+\u6d77\u91cf\u516c\u5f00\u6570\u636e\u96c6\uff0c3\u5929\u590d\u73b0SOTA\u7ed3\u679c\"<\/figure>\n

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\u4e00\u3001\u4ece\u201c\u4e0b\u8f7d\u6570\u636e\u201d\u5230\u201c\u5373\u7528\u6570\u636e\u201d\uff1a20TB+\u516c\u5f00\u6570\u636e\u96c6\u5373\u63d2\u5373\u7528<\/h2>\n

\u5728\u4f20\u7edf\u79d1\u7814\u6d41\u7a0b\u4e2d\uff0c\u4e0b\u8f7dImageNet\u3001COCO\u3001OpenWebText\u7b49\u4e3b\u6d41\u6570\u636e\u96c6\u662f\u8017\u65f6\u6700\u957f\u7684\u73af\u8282\u4e4b\u4e00\u3002\u4ee5ImageNet\u4e3a\u4f8b\uff0c\u539f\u59cb\u6570\u636e\u8d85\u8fc7140GB\uff0c\u82e5\u901a\u8fc7FTP\u6216HTTP\u4e0b\u8f7d\uff0c\u5e38\u56e0\u7f51\u7edc\u6ce2\u52a8\u5bfc\u81f4\u4e2d\u65ad\u91cd\u4f20\uff0c\u8017\u65f6\u6570\u5929\u751a\u81f3\u6570\u5468\u3002\u800c\u661f\u5b87\u667a\u7b97\u901a\u8fc7\u5176\u4e91\u5b58\u50a8<\/strong>\u4e0e\u8d44\u6e90\u5e93\u7cfb\u7edf<\/strong>\uff0c\u5f7b\u5e95\u89e3\u51b3\u4e86\u8fd9\u4e00\u75db\u70b9\u3002<\/p>\n

\u5e73\u53f0\u5185\u7f6e\u8d85\u8fc720TB\u7684\u516c\u5171\u6570\u636e\u96c6\uff0c\u6db5\u76d6\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8bed\u97f3\u8bc6\u522b\u7b49\u591a\u4e2a\u9886\u57df\u3002\u7528\u6237\u53ea\u9700\u5728\u521b\u5efaGPU\u4e91\u4e3b\u673a<\/strong>\u65f6\uff0c\u52fe\u9009\u6240\u9700\u6570\u636e\u96c6\uff0c\u7cfb\u7edf\u4fbf\u81ea\u52a8\u5c06\u5176\u53ea\u8bfb\u6302\u8f7d\u81f3\u5b9e\u4f8b<\/strong>\uff0c\u65e0\u9700\u624b\u52a8\u4e0b\u8f7d\u4e0e\u89e3\u538b\u3002\u65e0\u8bba\u662f\u8bad\u7ec3\u76ee\u6807\u68c0\u6d4b\u6a21\u578b\u6240\u9700\u7684COCO\u6570\u636e\u96c6\uff0c\u8fd8\u662f\u6784\u5efa\u8bed\u8a00\u6a21\u578b\u6240\u4f9d\u8d56\u7684OpenWebText\uff0c\u53ea\u9700\u4e00\u884c\u547d\u4ee4\u5373\u53ef\u8bbf\u95ee\uff0c\u771f\u6b63\u5b9e\u73b0\u201c\u5f00\u7bb1\u5373\u7528\u201d\u3002<\/p>\n

\u66f4\u4ee4\u4eba\u60ca\u559c\u7684\u662f\uff0c\u6240\u6709\u6570\u636e\u96c6\u5747\u7ecf\u8fc7\u9884\u5904\u7406\u4e0e\u4f18\u5316\uff0c\u652f\u6301\u9ad8\u6548\u8bfb\u53d6\u3002\u4f8b\u5982\uff0cImageNet\u6570\u636e\u96c6\u5df2\u6309\u7c7b\u522b\u5206\u597d\u6587\u4ef6\u5939\uff0cCOCO\u7684JSON\u6807\u6ce8\u6587\u4ef6\u4e0e\u56fe\u50cf\u7d22\u5f15\u540c\u6b65\u52a0\u8f7d\uff0c\u5927\u5e45\u63d0\u5347\u4e86\u8bad\u7ec3\u6548\u7387\u3002<\/p>\n

\u4e8c\u3001SOTA\u6a21\u578b\u4e00\u952e\u590d\u73b0\uff1a\u8fd1200\u4e2aDocker\u955c\u50cf\uff0c\u4e00\u884c\u547d\u4ee4\u8dd1\u51fa\u8bba\u6587\u7ed3\u679c<\/h2>\n

\u5728\u5b8c\u6210\u6570\u636e\u51c6\u5907\u540e\uff0c\u79d1\u7814\u4eba\u5458\u9762\u4e34\u7684\u4e0b\u4e00\u4e2a\u6311\u6218\u662f\u6a21\u578b\u73af\u5883\u7684\u642d\u5efa\u3002\u4e0d\u540c\u8bba\u6587\u4f7f\u7528\u4e0d\u540c\u6846\u67b6\uff08PyTorch\u3001TensorFlow\uff09\u3001\u4e0d\u540c\u7248\u672c\u7684\u4f9d\u8d56\u5e93\uff0c\u5bfc\u81f4\u201c\u5728\u6211\u7684\u673a\u5668\u4e0a\u80fd\u8dd1\uff0c\u4f46\u5728\u522b\u4eba\u673a\u5668\u4e0a\u5931\u8d25\u201d\u7684\u5c34\u5c2c\u5c40\u9762\u3002<\/p>\n

\u661f\u5b87\u667a\u7b97\u63d0\u4f9b\u8fd1200\u7bc7\u9876\u4f1aSOTA\u6a21\u578b\u7684Docker\u955c\u50cf<\/strong>\uff0c\u6db5\u76d6\u4eceResNet\u3001ViT\u5230Transformer\u3001Diffusion Models\u7b49\u4e3b\u6d41\u67b6\u6784\u3002\u6bcf\u4e2a\u955c\u50cf\u5747\u5305\u542b\u5b8c\u6574\u7684\u8bad\u7ec3\u4e0e\u63a8\u7406\u4ee3\u7801\u3001\u9884\u8bad\u7ec3\u6743\u91cd\u3001\u8d85\u53c2\u6570\u914d\u7f6e\u6587\u4ef6\u4ee5\u53ca\u6807\u51c6\u7684\u547d\u4ee4\u884c\u63a5\u53e3\u3002<\/p>\n

\u4ee5\u590d\u73b02023\u5e74NeurIPS\u4e0a\u63d0\u51fa\u7684Swin-Transformer\u6a21\u578b\u4e3a\u4f8b\uff0c\u7528\u6237\u53ea\u9700\u5728GPU\u4e91\u4e3b\u673a\u4e2d\u6267\u884c\uff1a<\/p>\n

docker run -it --gpus all starverse-ai\/swin-transformer:neurips2023\n<\/code><\/pre>\n
\u7cfb\u7edf\u5373\u81ea\u52a8\u62c9\u53d6\u955c\u50cf\uff0c\u6302\u8f7d\u6570\u636e\u96c6\uff0c\u542f\u52a8\u8bad\u7ec3\u811a\u672c\uff0c\u5168\u7a0b\u65e0\u9700\u624b\u52a8\u5b89\u88c5\u4f9d\u8d56\u3002\u79d1\u7814\u4eba\u5458\u53ef\u5c06\u7cbe\u529b\u96c6\u4e2d\u5728\u6a21\u578b\u8c03\u53c2\u4e0e\u7ed3\u679c\u5206\u6790\u4e0a\uff0c\u800c\u975e\u7e41\u7410\u7684\u73af\u5883\u914d\u7f6e\u3002<\/p>\n
\u4e09\u3001\u5b9e\u9a8c\u53ef\u8ffd\u6eaf\uff1aSlurm + Weights & Biases\uff0c\u6253\u9020\u79d1\u7814\u6d41\u6c34\u7ebf<\/h2>\n
\u4e3a\u63d0\u5347\u5b9e\u9a8c\u7ba1\u7406\u6548\u7387\uff0c\u661f\u5b87\u667a\u7b97\u6df1\u5ea6\u96c6\u6210Slurm\u4f5c\u4e1a\u8c03\u5ea6\u7cfb\u7edf<\/strong>\u4e0eWeights & Biases\uff08W&B\uff09<\/strong> \u5b9e\u9a8c\u8ffd\u8e2a\u5de5\u5177\u3002\u7528\u6237\u53ef\u5c06\u8bad\u7ec3\u4efb\u52a1\u63d0\u4ea4\u81f3Slurm\u961f\u5217\uff0c\u5b9e\u73b0\u591a\u4efb\u52a1\u5e76\u884c\u8c03\u5ea6\uff0c\u5408\u7406\u5206\u914dGPU\u8d44\u6e90\u3002<\/p>\n
\u540c\u65f6\uff0c\u6240\u6709\u8bad\u7ec3\u8fc7\u7a0b\u81ea\u52a8\u8bb0\u5f55\u81f3W&B\uff0c\u5305\u62ec\u635f\u5931\u66f2\u7ebf\u3001\u51c6\u786e\u7387\u3001\u5b66\u4e60\u7387\u53d8\u5316\u3001\u8d85\u53c2\u6570\u914d\u7f6e\u3001\u6a21\u578b\u6743\u91cd\u4e0e\u53ef\u89c6\u5316\u7ed3\u679c\u3002\u6bcf\u6b21\u5b9e\u9a8c\u5747\u751f\u6210\u552f\u4e00\u94fe\u63a5\uff0c\u652f\u6301\u56e2\u961f\u534f\u4f5c\u4e0e\u8bba\u6587\u6295\u7a3f\u65f6\u7684\u53ef\u590d\u73b0\u6027\u5c55\u793a\u3002<\/p>\n
\u8fd9\u79cd\u201c\u4ece\u4ee3\u7801\u63d0\u4ea4\u5230\u7ed3\u679c\u53d1\u5e03\u201d\u7684\u5168\u6d41\u7a0b\u81ea\u52a8\u5316\uff0c\u4f7f\u79d1\u7814\u5de5\u4f5c\u4e0d\u518d\u4f9d\u8d56\u201c\u4e2a\u4eba\u7b14\u8bb0\u201d\uff0c\u800c\u662f\u5f62\u6210\u53ef\u5171\u4eab\u3001\u53ef\u590d\u73b0\u3001\u53ef\u6269\u5c55\u7684AI\u5de5\u4f5c\u6d41<\/strong>\u3002<\/p>\n
\u56db\u3001\u5b66\u751f\u8ba4\u8bc1\u4eab8\u6298\uff0c\u5343\u5143\u9884\u7b97\u4e5f\u80fd\u8dd1\u51faNeurIPS\u7ea7\u6210\u679c<\/h2>\n
\u661f\u5b87\u667a\u7b97\u6df1\u77e5\u79d1\u7814\u56e2\u961f\u7684\u9884\u7b97\u538b\u529b\uff0c\u7279\u522b\u63a8\u51fa\u5b66\u751f\u8ba4\u8bc1\u8ba1\u5212<\/strong>\u3002\u6ce8\u518c\u7528\u6237\u63d0\u4ea4\u5b66\u751f\u8bc1\u4fe1\u606f\u540e\uff0c\u5373\u53ef\u4eab\u53d78\u6298\u4f18\u60e0<\/strong>\uff0c\u5e76\u989d\u5916\u83b7\u5f9710\u5143\u4f53\u9a8c\u91d1<\/strong>\uff0c\u7528\u4e8e\u9996\u6b21GPU\u4e91\u4e3b\u673a\u79df\u8d41\u3002<\/p>\n
\u4ee51000\u5143\u9884\u7b97\u4e3a\u4f8b\uff0c\u5b66\u751f\u53ef\u79df\u7528\u4e00\u53f0\u642d\u8f7dNVIDIA RTX 4090\u7684GPU\u670d\u52a1\u5668\uff0c\u8fde\u7eed\u8fd0\u884c15\u5929\uff0c\u5b8c\u6210\u591a\u8f6e\u6a21\u578b\u8bad\u7ec3\u4e0e\u6d88\u878d\u5b9e\u9a8c\u3002\u5373\u4f7f\u5728\u8d44\u6e90\u7d27\u5f20\u7684\u5b66\u671f\u672b\uff0c\u4e5f\u80fd\u8f7b\u677e\u5b8c\u6210\u8bba\u6587\u6295\u7a3f\u524d\u7684\u6700\u7ec8\u5b9e\u9a8c\uff0c\u5b9e\u73b0\u201c\u5343\u5143\u9884\u7b97\uff0cNeurIPS\u7ea7\u6210\u679c<\/strong>\u201d\u7684\u79d1\u7814\u7a81\u7834\u3002<\/p>\n
\u4e94\u3001\u4e00\u7ad9\u5f0fAI\u751f\u6001\uff1a\u4ece\u7b97\u529b\u5230\u5e94\u7528\uff0c\u5168\u9762\u52a0\u901f\u7814\u53d1\u6548\u7387<\/h2>\n
\u661f\u5b87\u667a\u7b97\u4e0d\u4ec5\u63d0\u4f9bGPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u670d\u52a1\uff0c\u66f4\u6784\u5efa\u4e86\u5b8c\u6574\u7684AI\u5e94\u7528\u751f\u6001\u3002\u7528\u6237\u53ef\u76f4\u63a5\u5728\u5e73\u53f0\u4e0a\u542f\u52a8Jupyter Notebook\u3001TensorBoard\u3001FastAPI\u670d\u52a1\u7b49\uff0c\u5b9e\u73b0\u4ece\u6570\u636e\u63a2\u7d22\u5230\u6a21\u578b\u90e8\u7f72\u7684\u65e0\u7f1d\u8854\u63a5\u3002<\/p>\n
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