{"id":208704,"date":"2025-09-29T20:45:52","date_gmt":"2025-09-29T12:45:52","guid":{"rendered":"https:\/\/www.server.hk\/blog\/208704\/"},"modified":"2025-09-29T20:45:53","modified_gmt":"2025-09-29T12:45:53","slug":"vps-pytorch","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/208704\/","title":{"rendered":"\u9999\u6e2fVPS\u5feb\u901f\u90e8\u7f72PyTorch\uff0c\u6781\u901f\u6784\u5efa\u9ad8\u6548AI\u8bad\u7ec3\u73af\u5883"},"content":{"rendered":"<p>\u5728\u5f53\u4ecaAI\u6a21\u578b\u8bad\u7ec3\u548c\u6df1\u5ea6\u5b66\u4e60\u5b9e\u9a8c\u4e0d\u65ad\u8fed\u4ee3\u7684\u73af\u5883\u4e0b\uff0c\u5982\u4f55\u5feb\u901f\u5728\u4e91\u7aef\u642d\u5efa\u7a33\u5b9a\u4e14\u9ad8\u6548\u7684\u8bad\u7ec3\u73af\u5883\uff0c\u662f\u7ad9\u957f\u3001\u4f01\u4e1a\u548c\u5f00\u53d1\u8005\u6700\u4e3a\u5173\u5fc3\u7684\u95ee\u9898\u4e4b\u4e00\u3002\u672c\u6587\u4ee5\u5728\u9999\u6e2fVPS\u4e0a\u5feb\u901f\u90e8\u7f72PyTorch\u4e3a\u6838\u5fc3\uff0c\u7ed3\u5408\u5b9e\u9645\u64cd\u4f5c\u6b65\u9aa4\u4e0e\u4f18\u5316\u5efa\u8bae\uff0c\u5e2e\u52a9\u4f60\u5728\u6700\u77ed\u65f6\u95f4\u5185\u6784\u5efa\u53ef\u7528\u4e8e\u7814\u53d1\u548c\u5c0f\u89c4\u6a21\u8bad\u7ec3\u7684AI\u5e73\u53f0\uff0c\u540c\u65f6\u5bf9\u6bd4\u7f8e\u56fdVPS\u3001\u9999\u6e2f\u670d\u52a1\u5668\u4e0e\u7f8e\u56fd\u670d\u52a1\u5668\u5728\u5ef6\u8fdf\u3001\u5e26\u5bbd\u4e0e\u6210\u672c\u4e0a\u7684\u5dee\u5f02\uff0c\u7ed9\u51fa\u9009\u8d2d\u4e0e\u8c03\u4f18\u5efa\u8bae\u3002<\/p>\n<h2>\u90e8\u7f72\u524d\u7684\u51c6\u5907\u4e0e\u539f\u7406\u6982\u8ff0<\/h2>\n<p>\u5728\u5f00\u59cb\u90e8\u7f72\u4e4b\u524d\uff0c\u9700\u8981\u660e\u786e\u4e09\u4e2a\u5173\u952e\u8981\u7d20\uff1a\u8ba1\u7b97\u8d44\u6e90\uff08CPU\/GPU\uff09\u3001\u8f6f\u4ef6\u73af\u5883\uff08\u9a71\u52a8\u3001CUDA\u3001cuDNN\u3001PyTorch\u7b49\uff09\u3001\u4ee5\u53ca\u6570\u636e\u4e0e\u7f51\u7edc\u4f20\u8f93\uff08\u5b58\u50a8\u3001\u5e26\u5bbd\u3001\u5ef6\u8fdf\uff09\u3002\u4e0b\u9762\u7b80\u8981\u8bf4\u660e\u5404\u8981\u7d20\u95f4\u7684\u5173\u7cfb\u4e0e\u539f\u7406\uff1a<\/p>\n<ul>\n<li><strong>\u786c\u4ef6\u4e0e\u9a71\u52a8\uff1a<\/strong>GPU\u8bad\u7ec3\u4f9d\u8d56NVIDIA\u663e\u5361\u53ca\u5bf9\u5e94\u9a71\u52a8\uff0c\u9a71\u52a8\u63d0\u4f9b\u5e95\u5c42\u8bbf\u95ee\uff0cCUDA\u63d0\u4f9b\u5e76\u884c\u8ba1\u7b97API\uff0ccuDNN\u63d0\u4f9b\u6df1\u5ea6\u5b66\u4e60\u5e38\u7528\u7b97\u5b50\u52a0\u901f\u3002<\/li>\n<li><strong>\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff1a<\/strong>PyTorch\u5728\u4e0d\u540cCUDA\u7248\u672c\u4e0b\u6709\u5bf9\u5e94\u7684\u4e8c\u8fdb\u5236\u517c\u5bb9\u5305\uff0c\u9519\u8bef\u5339\u914d\u4f1a\u5bfc\u81f4\u8fd0\u884c\u65f6\u5f02\u5e38\u6216\u65e0\u6cd5\u8c03\u7528GPU\u3002<\/li>\n<li><strong>\u5e76\u884c\u4e0e\u901a\u4fe1\uff1a<\/strong>\u5206\u5e03\u5f0f\u8bad\u7ec3\u4f9d\u8d56NCCL\u6216Gloo\u540e\u7aef\uff0c\u7f51\u7edc\u5ef6\u8fdf\u4e0e\u5e26\u5bbd\u76f4\u63a5\u5f71\u54cd\u591a\u8282\u70b9\u8bad\u7ec3\u6548\u7387\u3002<\/li>\n<li><strong>\u5bb9\u5668\u5316\u4e0e\u53ef\u91cd\u590d\u6027\uff1a<\/strong>\u4f7f\u7528Docker\u6216Conda\u73af\u5883\u53ef\u4ee5\u4fdd\u8bc1\u73af\u5883\u53ef\u590d\u73b0\uff0c\u65b9\u4fbf\u5728\u9999\u6e2fVPS\u4e0e\u7f8e\u56fdVPS\u4e4b\u95f4\u8fc1\u79fb\u3002<\/li>\n<\/ul>\n<h3>\u4e3a\u4f55\u9009\u62e9\u9999\u6e2f\u8282\u70b9<\/h3>\n<p>\u9999\u6e2f\u4f5c\u4e3a\u4e9a\u592a\u7684\u91cd\u8981\u4e92\u8054\u7f51\u67a2\u7ebd\uff0c\u901a\u5e38\u5728\u5927\u9646\u3001\u4e1c\u5357\u4e9a\u4e0e\u56fd\u9645\u9aa8\u5e72\u7f51\u4e4b\u95f4\u62e5\u6709\u826f\u597d\u7684\u5ef6\u8fdf\u548c\u5e26\u5bbd\u8868\u73b0\u3002\u5bf9\u4e8e\u9700\u8981\u4f4e\u5ef6\u8fdf\u6570\u636e\u8bbf\u95ee\u6216\u9762\u5411\u4e2d\u56fd\u5927\u9646\u7528\u6237\u7684\u6a21\u578b\u8bad\u7ec3\u4e0e\u63a8\u7406\uff0c\u9009\u62e9\u9999\u6e2f\u670d\u52a1\u5668\u53ef\u4ee5\u5728\u7f51\u7edc\u54cd\u5e94\u4e0e\u6cd5\u89c4\u5408\u89c4\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u4e0e\u7f8e\u56fdVPS\u76f8\u6bd4\uff0c\u9999\u6e2fVPS\u5728\u5f80\u8fd4\u5927\u9646\u7684\u65f6\u5ef6\u66f4\u4f18\uff1b\u800c\u7f8e\u56fd\u670d\u52a1\u5668\u5728\u67d0\u4e9b\u4e91\u539f\u751f\u751f\u6001\u4e0e\u4ef7\u683c\u4e0a\u53ef\u80fd\u6709\u4f18\u52bf\uff0c\u9009\u62e9\u65f6\u9700\u7ed3\u5408\u5b9e\u9645\u573a\u666f\u3002<\/p>\n<h2>\u5b9e\u64cd\uff1a\u5728\u9999\u6e2fVPS\u4e0a\u5feb\u901f\u90e8\u7f72PyTorch\uff08\u4ee5Ubuntu 20.04 + NVIDIA GPU\u4e3a\u4f8b\uff09<\/h2>\n<p>\u4e0b\u9762\u5217\u51fa\u4e00\u5957\u4ece\u96f6\u5f00\u59cb\u7684\u64cd\u4f5c\u6b65\u9aa4\uff0c\u9002\u7528\u4e8e\u6709GPU\u7684\u9999\u6e2fVPS\u5b9e\u4f8b\uff1b\u82e5\u4f7f\u7528\u7eafCPU\u5b9e\u4f8b\uff0c\u8df3\u8fc7\u9a71\u52a8\u4e0eCUDA\u90e8\u5206\u5373\u53ef\u3002<\/p>\n<h3>1. \u7cfb\u7edf\u51c6\u5907\u4e0e\u57fa\u672c\u5de5\u5177<\/h3>\n<ul>\n<li>\u767b\u5f55VPS\u5e76\u66f4\u65b0\u7cfb\u7edf\uff1a<\/li>\n<\/ul>\n<p><code>sudo apt update &amp;&amp; sudo apt upgrade -y<\/code><\/p>\n<ul>\n<li>\u5b89\u88c5\u5e38\u7528\u5f00\u53d1\u5de5\u5177\uff1a<\/li>\n<\/ul>\n<p><code>sudo apt install -y build-essential git curl wget vim tmux htop<\/code><\/p>\n<h3>2. NVIDIA \u9a71\u52a8\u4e0e CUDA \u73af\u5883<\/h3>\n<p>\u9996\u5148\u786e\u8ba4\u663e\u5361\u578b\u53f7\uff1a<\/p>\n<p><code>lspci | grep -i nvidia<\/code><\/p>\n<p>\u5b89\u88c5\u63a8\u8350\u7684NVIDIA\u9a71\u52a8\uff08\u53ef\u901a\u8fc7\u5b98\u65b9CUDA\u5b89\u88c5\u5305\u6216PPA\u5b89\u88c5\uff09\uff1a<\/p>\n<p><code>sudo apt install -y nvidia-driver-525<\/code>\uff08\u6839\u636e\u663e\u5361\u4e0e\u5185\u6838\u9009\u62e9\u5408\u9002\u7248\u672c\uff09<\/p>\n<p>\u91cd\u542f\u540e\u68c0\u67e5\u9a71\u52a8\uff1a<\/p>\n<p><code>nvidia-smi<\/code><\/p>\n<p>\u82e5\u9700CUDA\u652f\u6301\uff0c\u5b89\u88c5\u5bf9\u5e94\u7684CUDA Toolkit\uff08\u6ce8\u610fPyTorch\u4e0eCUDA\u7684\u517c\u5bb9\u6027\uff09\uff1a<\/p>\n<p>\u4f8b\u5982\u5b89\u88c5CUDA 11.8\uff1a<\/p>\n<p><code>sudo apt install -y cuda-toolkit-11-8<\/code><\/p>\n<p>\u5b89\u88c5cuDNN\uff08\u9700\u8981NVIDIA\u8d26\u53f7\u4e0b\u8f7d\u5b89\u88c5\u5305\uff09\u5e76\u89e3\u538b\u5230CUDA\u8def\u5f84\uff1a<\/p>\n<p><code>tar -xzvf cudnn-11.8-linux-x64-v8.x.x.x.tgz<br \/>sudo cp include\/cudnn<em>.h \/usr\/local\/cuda\/include<br \/>sudo cp lib64\/libcudnn<\/em> \/usr\/local\/cuda\/lib64<br \/>sudo chmod a+r \/usr\/local\/cuda\/include\/cudnn<em>.h \/usr\/local\/cuda\/lib64\/libcudnn<\/em><\/code><\/p>\n<h3>3. Python\u73af\u5883\u4e0e\u5305\u7ba1\u7406\uff08\u63a8\u8350Conda\uff09<\/h3>\n<p>\u5b89\u88c5Miniconda\uff08\u53ef\u4fdd\u8bc1\u5305\u9694\u79bb\uff09\uff1a<\/p>\n<p><code>wget https:\/\/repo.anaconda.com\/miniconda\/Miniconda3-latest-Linux-x86_64.sh<br \/>bash Miniconda3-latest-Linux-x86_64.sh<\/code><\/p>\n<p>\u521b\u5efa\u865a\u62df\u73af\u5883\u5e76\u6fc0\u6d3b\uff1a<\/p>\n<p><code>conda create -n pytorch_env python=3.10 -y<br \/>conda activate pytorch_env<\/code><\/p>\n<p>\u5b89\u88c5PyTorch\uff08\u4ee5\u652f\u6301CUDA 11.8\u4e3a\u4f8b\uff0c\u5efa\u8bae\u68c0\u67e5\u5b98\u65b9\u547d\u4ee4\uff09\uff1a<\/p>\n<p><code>pip install torch torchvision torchaudio --extra-index-url https:\/\/download.pytorch.org\/whl\/cu118<\/code><\/p>\n<p>\u9a8c\u8bc1GPU\u662f\u5426\u53ef\u7528\uff1a<\/p>\n<p><code>python -c \"import torch; print(torch.cuda.is_available()); print(torch.cuda.device_count()); print(torch.cuda.get_device_name(0))\"<\/code><\/p>\n<h3>4. \u5bb9\u5668\u5316\u65b9\u6848\uff08\u53ef\u9009\u4f46\u63a8\u8350\uff09<\/h3>\n<p>\u5bf9\u4e8e\u591a\u9879\u76ee\u6216\u56e2\u961f\u534f\u4f5c\uff0cDocker\u80fd\u663e\u8457\u63d0\u9ad8\u73af\u5883\u53ef\u91cd\u590d\u6027\u3002\u5b89\u88c5Docker\u5e76\u542f\u7528NVIDIA\u5bb9\u5668\u5de5\u5177\u5305\uff1a<\/p>\n<p><code>sudo apt install -y docker.io<br \/>distribution=$(. \/etc\/os-release;echo $ID$VERSION_ID)<br \/>curl -s -L https:\/\/nvidia.github.io\/nvidia-docker\/gpgkey | sudo apt-key add -<br \/>curl -s -L https:\/\/nvidia.github.io\/nvidia-docker\/$distribution\/nvidia-docker.list | sudo tee \/etc\/apt\/sources.list.d\/nvidia-docker.list<br \/>sudo apt update &amp;&amp; sudo apt install -y nvidia-docker2<br \/>sudo systemctl restart docker<\/code><\/p>\n<p>\u8fd0\u884c\u5b98\u65b9PyTorch\u955c\u50cf\u5feb\u901f\u542f\u52a8\uff1a<\/p>\n<p><code>sudo docker run --gpus all -it --rm pytorch\/pytorch:latest<\/code><\/p>\n<h3>5. \u6570\u636e\u7ba1\u7406\u4e0e\u9ad8\u901f\u5b58\u50a8<\/h3>\n<ul>\n<li>\u5c3d\u91cf\u5c06\u8bad\u7ec3\u6570\u636e\u653e\u5728\u672c\u5730\u9ad8\u901f\u76d8\uff08NVMe\uff09\u6216\u6302\u8f7d\u7684\u7f51\u7edc\u76d8\uff0c\u4ee5\u907f\u514d\u7f51\u7edcIO\u74f6\u9888\u3002<\/li>\n<li>\u5927\u6570\u636e\u96c6\u53ef\u4f7f\u7528\u5206\u5757\u8bfb\u53d6\u4e0e\u5e76\u884c\u9884\u5904\u7406\uff08PyTorch DataLoader \u7684 num_workers \u53c2\u6570\uff09\uff0c\u5e76\u542f\u7528\u5185\u5b58\u6620\u5c04\uff08memmap\uff09\u6216\u4f7f\u7528LMDB\u7b49\u9ad8\u6548\u683c\u5f0f\u3002<\/li>\n<\/ul>\n<h3>6. \u76d1\u63a7\u4e0e\u8c03\u4f18<\/h3>\n<ul>\n<li>\u4f7f\u7528 nvidia-smi\u3001gpustat\u3001htop\u3001iotop \u76d1\u63a7\u8d44\u6e90\u3002<\/li>\n<li>\u901a\u8fc7 mixed precision\uff08torch.cuda.amp\uff09\u964d\u4f4e\u663e\u5b58\u5360\u7528\u53ca\u63d0\u5347\u8bad\u7ec3\u901f\u5ea6\u3002<\/li>\n<li>\u6a21\u578b\u5e76\u884c\u4e0e\u6570\u636e\u5e76\u884c\uff1a\u5c0f\u89c4\u6a21\u5355\u673a\u591a\u5361\u53ef\u7528 torch.nn.DataParallel \u6216\u66f4\u63a8\u8350\u7684 torch.distributed\uff08NCCL backend\uff09\u3002<\/li>\n<li>\u7f51\u7edc\u8bad\u7ec3\u65f6\u4f7f\u7528 NCCL \u73af\u5883\u53d8\u91cf\u4f18\u5316\uff1a<code>export NCCL_DEBUG=INFO; export NCCL_SOCKET_IFNAME=eth0<\/code> 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vCPU\u300116-32GB \u5185\u5b58\u30011\u00d7T4\u6216\u76f8\u5f53GPU\u3001100GB NVMe \u5373\u53ef\u3002<\/li>\n<li>\u4e2d\u7b49\u89c4\u6a21\u8bad\u7ec3\u4e0e\u591a\u4eba\u534f\u4f5c\uff1a8-16 vCPU\u300164GB \u5185\u5b58\u30012\u00d7T4\u62161\u00d7A10\u30011TB 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