{"id":67618,"date":"2026-01-29T01:10:14","date_gmt":"2026-01-28T17:10:14","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/67618.html"},"modified":"2026-01-29T01:10:14","modified_gmt":"2026-01-28T17:10:14","slug":"%e5%a6%82%e4%bd%95%e9%85%8d%e7%bd%ae%e5%ae%9e%e9%aa%8c%e5%ae%a4%e7%9a%84%e6%9c%8d%e5%8a%a1%e5%99%a8%ef%bc%88nvcc%ef%bc%89","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/67618.html","title":{"rendered":"\u5982\u4f55\u914d\u7f6e\u5b9e\u9a8c\u5ba4\u7684\u670d\u52a1\u5668\uff08nvcc\uff09"},"content":{"rendered":"<p>\u5b9e\u9a8c\u5ba4\u7684\u670d\u52a1\u5668\u662f\u591a\u7528\u6237\u5171\u4eab\u7269\u7406\u673a&#xff0c;\u4f46\u7cfb\u7edf\u4f1a\u7ed9\u6bcf\u4e2a\u8d26\u53f7\u5206\u914d\u300c\u72ec\u7acb\u7684\u7528\u6237\u76ee\u5f55\u300d&#xff08;\u4f60\u7684\u76ee\u5f55\u5c31\u662f \/home\/\u4f60\u7684\u7528\u6237\u540d\/&#xff09;&#xff0c;\u6240\u6709\u7528\u6237\u4e4b\u95f4\u4e92\u76f8\u9694\u79bb\u3001\u4e92\u4e0d\u5f71\u54cd&#xff1a;<\/p>\n<ul>\n<li>\u522b\u4eba\u88c5\u7684 python\/conda\/pytorch&#xff0c;\u90fd\u5728\u522b\u4eba\u7684 \/home\/xxx\/ \u76ee\u5f55\u4e0b&#xff0c;\u4f60\u7684\u8d26\u53f7\u5b8c\u5168\u8bbf\u95ee\u4e0d\u5230&#xff1b;<\/li>\n<li>\u4f60\u81ea\u5df1\u88c5\u7684\u6240\u6709\u8f6f\u4ef6&#xff0c;\u4e5f\u53ea\u4f1a\u5b58\u5728\u4e8e\u4f60\u7684\u4e2a\u4eba\u76ee\u5f55&#xff0c;\u522b\u4eba\u770b\u4e0d\u5230\u3001\u7528\u4e0d\u4e86&#xff0c;\u4e5f\u4e0d\u4f1a\u88ab\u522b\u4eba\u7684\u64cd\u4f5c\u8986\u76d6 \/ \u641e\u5d29&#xff1b;<\/li>\n<li>\u4f60\u6ca1\u6709\u7ba1\u7406\u5458\u6743\u9650&#xff08;\u6ca1\u6709sudo\u547d\u4ee4&#xff09;&#xff0c;\u6839\u672c\u6ca1\u6cd5\u628a\u8f6f\u4ef6\u88c5\u5230\u670d\u52a1\u5668\u7684\u300c\u7cfb\u7edf\u516c\u7528\u76ee\u5f55\u300d&#xff08;\u6bd4\u5982\/usr\/bin&#xff09;&#xff0c;\u53ea\u80fd\u88c5\u5728\u81ea\u5df1\u76ee\u5f55\u91cc&#xff0c;\u8fd9\u662f\u670d\u52a1\u5668\u7684\u5b89\u5168\u89c4\u5219\u3002<\/li>\n<\/ul>\n<h4>1. nvidia-smi \u2192 \u5c5e\u4e8e\u3010NVIDIA \u663e\u5361\u9a71\u52a8\u3011&#xff0c;\u662f\u670d\u52a1\u5668\u516c\u7528\u7684<\/h4>\n<ul>\n<li>\u670d\u52a1\u5668\u7269\u7406\u673a\u4e0a&#xff0c;\u7ba1\u7406\u5458\u5df2\u7ecf\u88c5\u597d\u4e86NVIDIA \u663e\u5361\u9a71\u52a8&#xff0c;\u8fd9\u4e2a\u9a71\u52a8\u662f\u7ed9\u6240\u6709\u7528\u6237\u5171\u4eab\u7684&#xff0c;\u53ea\u8981\u663e\u5361\u786c\u4ef6\u5728&#xff0c;\u6240\u6709\u8d26\u53f7\u90fd\u80fd\u6267\u884c nvidia-smi \u67e5\u770b\u663e\u5361\u4fe1\u606f&#xff1b;<\/li>\n<li>\u663e\u5361\u9a71\u52a8\u662f\u7cfb\u7edf\u7ea7\u7684\u5e95\u5c42\u7a0b\u5e8f&#xff0c;\u8d1f\u8d23\u8ba9\u670d\u52a1\u5668\u8bc6\u522b\u663e\u5361\u3002<\/li>\n<li>\u663e\u5361\u9a71\u52a8\u7248\u672c&#xff0c;\u51b3\u5b9a\u4e86\u4f60\u80fd\u5b89\u88c5\u7684\u300cCUDA Toolkit \u6700\u9ad8\u7248\u672c\u300d<\/li>\n<\/ul>\n<h4>2. nvcc \u2192 \u5c5e\u4e8e\u3010CUDA Toolkit \u5de5\u5177\u5305\u3011&#xff0c;\u4e00\u822c\u662f\u6ca1\u6709\u7684&#xff0c;\u9700\u8981\u81ea\u5df1\u88c5<\/h4>\n<ul>\n<li>nvcc \u662f CUDA \u7f16\u8bd1\u5668&#xff0c;\u662f CUDA Toolkit \u8fd9\u4e2a\u8f6f\u4ef6\u5305\u91cc\u7684\u6838\u5fc3\u547d\u4ee4&#xff0c;\u4e0d\u662f\u663e\u5361\u9a71\u52a8\u81ea\u5e26\u7684&#xff1b;<\/li>\n<li>\u5f53\u670d\u52a1\u5668\u6ca1\u6709\u88c5\u7cfb\u7edf\u7ea7\u7684 CUDA Toolkit&#xff0c;\u7cfb\u7edf\u627e\u4e0d\u5230nvcc\u8fd9\u4e2a\u547d\u4ee4&#xff0c;\u5c31\u4f1a\u62a5 command not found&#xff1b;<\/li>\n<li>\u89e3\u51b3\u65b9\u6848&#xff1a;\u5728\u4e2a\u4eba\u76ee\u5f55\u4e0b&#xff0c;\u88c5\u4e00\u4e2a\u300c\u79c1\u6709\u7248 CUDA Toolkit\u300d&#xff0c;\u4ec5\u81ea\u5df1\u53ef\u7528&#xff0c;\u652f\u6301\u5728\u4e00\u53f0\u670d\u52a1\u5668\u4e0a\u88c5\u591a\u4e2a\u7248\u672c&#xff08;\u6bd4\u5982~\/applications\/cuda-11.8\u548c~\/applications\/cuda-12.8\u5171\u5b58&#xff09;<\/li>\n<\/ul>\n<h4>3. \u3010PyTorch\/k2 \u5185\u7f6e\u7684 CUDA Runtime\u3011\u2192 \u865a\u62df\u73af\u5883\u5185\u3001\u5e93\u7ea7\u3001\u548c Toolkit\u89e3\u8026&#xff08;torch.version.cuda\u67e5\u8fd9\u4e2a&#xff09;<\/h4>\n<ul>\n<li>\u547d\u4ee4&#xff1a;python -c &#034;import torch; print(torch.version.cuda)&#034; \u2192 \u67e5\u7684\u662f\u8fd9\u4e2a<\/li>\n<li>\u5f52\u5c5e&#xff1a;\u5c5e\u4e8e\u6bcf\u4e2a Python \u865a\u62df\u73af\u5883\u7684\u79c1\u6709\u4f9d\u8d56&#xff0c;\u88c5\u5728conda env\u6216venv\u91cc&#xff0c;\u4e0d\u540c\u73af\u5883\u53ef\u4ee5\u5b8c\u5168\u4e0d\u540c\u7248\u672c<\/li>\n<\/ul>\n<h3>\u4ee5\u5b89\u88c5CUDA Toolkit 12.8\u4e3a\u4f8b<\/h3>\n<p>\u4ece CUDA 12.x \u7248\u672c\u5f00\u59cb&#xff0c;\u9ed8\u8ba4\u4e0d\u518d\u63d0\u4f9b tar.gz \u683c\u5f0f\u7684\u79bb\u7ebf\u5305&#xff0c;\u4ec5\u4fdd\u7559 runfile \u548c deb \u683c\u5f0f<\/p>\n<h4>1. \u521b\u5efa\u7528\u6237\u5b89\u88c5\u76ee\u5f55<\/h4>\n<p>mkdir applications<\/p>\n<h4>2. \u8fdb\u5165\u7528\u6237\u5b89\u88c5\u76ee\u5f55<\/h4>\n<p>cd applications<\/p>\n<h4>3. \u4e0b\u8f7dCUDA Toolkit 12.8<\/h4>\n<p>wget https:\/\/developer.download.nvidia.com\/compute\/cuda\/12.8.0\/local_installers\/cuda_12.8.0_570.86.10_linux.run<\/p>\n<h4>4. \u6267\u884c\u5b89\u88c5<\/h4>\n<p>sudo sh cuda_12.8.0_570.86.10_linux.run<\/p>\n<p>\u8f93\u5bc6\u7801\u62a5\u9519<\/p>\n<p>xxx is not in the sudoers file.<\/p>\n<p>\u8d26\u53f7\u6ca1\u6709\u670d\u52a1\u5668\u7ba1\u7406\u5458\u6743\u9650&#xff08;sudo \u6743\u9650&#xff09;&#xff0c;\u5b8c\u5168\u4e0d\u80fd\u7528sudo\u6267\u884c\u4efb\u4f55\u547d\u4ee4<\/p>\n<h5>\u7528\u5df2\u4e0b\u8f7d\u7684.run\u5305&#xff0c;\u65e0sudo<\/h5>\n<p>sh cuda_12.8.0_570.86.10_linux.run &#8211;silent &#8211;toolkit &#8211;no-drm &#8211;override &#8211;installpath&#061;$HOME\/applications\/cuda-12.8<\/p>\n<ul>\n<li>&#8211;silent&#xff1a;\u9759\u9ed8\u5b89\u88c5&#xff0c;\u65e0\u5f39\u7a97\u3001\u65e0\u4ea4\u4e92&#xff0c;\u4e00\u8def\u81ea\u52a8\u5b89\u88c5&#xff1b;<\/li>\n<li>&#8211;toolkit&#xff1a;\u53ea\u88c5 CUDA Toolkit \u5de5\u5177\u5305&#xff08;\u5305\u542b nvcc \u7f16\u8bd1\u5668\u3001\u6838\u5fc3\u5e93&#xff09;&#xff0c;\u4e0d\u88c5\u663e\u5361\u9a71\u52a8\u3001\u4e0d\u88c5 samples&#xff0c;\u8fd9\u662f\u552f\u4e00\u9700\u8981\u7684&#xff1b;<\/li>\n<li>&#8211;no-drm&#xff1a;\u8df3\u8fc7\u9a71\u52a8\u76f8\u5173\u7684\u6743\u9650\u68c0\u67e5&#xff0c;\u666e\u901a\u7528\u6237\u5fc5\u52a0&#xff1b;<\/li>\n<li>&#8211;override&#xff1a;\u8df3\u8fc7\u7248\u672c\u517c\u5bb9\u6027\u68c0\u67e5&#xff0c;\u89e3\u51b3\u666e\u901a\u7528\u6237\u76ee\u5f55\u7684\u6743\u9650\u8b66\u544a&#xff1b;<\/li>\n<li>&#8211;installpath&#061;xxx&#xff1a;\u6307\u5b9a\u5b89\u88c5\u5230\u4e2a\u4eba\u76ee\u5f55&#xff0c;\u6838\u5fc3\u4e2d\u7684\u6838\u5fc3&#xff0c;\u65e0 sudo \u7684\u5173\u952e&#xff01;<\/li>\n<\/ul>\n<h4>5. \u914d\u7f6e\u73af\u5883\u53d8\u91cf<\/h4>\n<h5>\u7f16\u8f91~\/.bashrc<\/h5>\n<p>vim ~\/.bashrc<\/p>\n<h5>\u5728\u672b\u5c3e\u6dfb\u52a0\u4ee5\u4e0b\u5185\u5bb9<\/h5>\n<p># &gt;&gt;&gt; CUDA &gt;&gt;&gt;<br \/>\nexport CUDA_HOME&#061;~\/applications\/cuda-12.8<br \/>\nexport PATH&#061;$CUDA_HOME\/bin:$PATH<br \/>\nexport LD_LIBRARY_PATH&#061;$CUDA_HOME\/lib64:$LD_LIBRARY_PATH<br \/>\n# &lt;&lt;&lt; CUDA &lt;&lt;&lt;<\/p>\n<h5>\u751f\u6548\u914d\u7f6e<\/h5>\n<p>source ~\/.bashrc<\/p>\n<h5>6. \u9a8c\u8bc1 nvcc<\/h5>\n<p>nvcc &#8211;version<\/p>\n<h5>\u8fd8\u6709\u4e00\u79cd\u5b89\u88c5\u65b9\u6cd5<\/h5>\n<h6>\u63d0\u53d6runfile\u5185\u5bb9&#xff08;\u4ec5\u89e3\u538b&#xff0c;\u4e0d\u5b89\u88c5&#xff09;&#xff0c;\u6307\u5b9a\u63d0\u53d6\u8def\u5f84\u4e3a\u4f60\u7684\u7528\u6237\u76ee\u5f55<\/h6>\n<p>.\/cuda_12.8.0_570.86.10_linux.run &#8211;extract&#061;~\/applications\/cuda-12.8-extract<\/p>\n<h5>\u8fdb\u5165\u63d0\u53d6\u540e\u7684\u76ee\u5f55&#xff0c;\u627e\u5230cuda_toolkit\u76ee\u5f55&#xff08;\u5305\u542bnvcc\u7b49\u5de5\u5177&#xff09;<\/h5>\n<p>cd ~\/applications\/cuda-12.8-extract<\/p>\n<h5>\u628atoolkit\u6587\u4ef6\u590d\u5236\u5230~\/applications\/cuda-12.8&#xff08;\u7edf\u4e00\u8def\u5f84&#xff09;<\/h5>\n<p>mkdir -p ~\/applications\/cuda-12.8<br \/>\ncp -r .\/cuda_toolkit\/* ~\/applications\/cuda-12.8\/<\/p>\n<h6>\u914d\u7f6e\u73af\u5883\u53d8\u91cf&#xff0c;\u4e0e\u524d\u9762\u4e00\u81f4<\/h6>\n","protected":false},"excerpt":{"rendered":"<p>\u5b9e\u9a8c\u5ba4\u7684\u670d\u52a1\u5668\u662f\u591a\u7528\u6237\u5171\u4eab\u7269\u7406\u673a&#xff0c;\u4f46\u7cfb\u7edf\u4f1a\u7ed9\u6bcf\u4e2a\u8d26\u53f7\u5206\u914d\u300c\u72ec\u7acb\u7684\u7528\u6237\u76ee\u5f55\u300d&#xff08;\u4f60\u7684\u76ee\u5f55\u5c31\u662f \/home\/\u4f60\u7684\u7528\u6237\u540d\/&#xff09;&#xff0c;\u6240\u6709\u7528\u6237\u4e4b\u95f4\u4e92\u76f8\u9694\u79bb\u3001\u4e92\u4e0d\u5f71\u54cd&#xff1a;<br \/>\n\u522b\u4eba\u88c5\u7684 python\/conda\/pytorch&#xff0c;\u90fd\u5728\u522b\u4eba\u7684 \/home\/xxx\/ \u76ee\u5f55\u4e0b&#xff0c;\u4f60\u7684\u8d26\u53f7\u5b8c\u5168\u8bbf\u95ee\u4e0d\u5230&#xff1b;\u4f60\u81ea\u5df1\u88c5\u7684\u6240\u6709\u8f6f\u4ef6&#xff0c;\u4e5f\u53ea\u4f1a\u5b58\u5728\u4e8e\u4f60\u7684\u4e2a\u4eba\u76ee\u5f55&#xff0c;\u522b\u4eba\u770b\u4e0d\u5230\u3001\u7528\u4e0d\u4e86&amp;#xf<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[43,44],"topic":[],"class_list":["post-67618","post","type-post","status-publish","format-standard","hentry","category-server","tag-43","tag-44"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u914d\u7f6e\u5b9e\u9a8c\u5ba4\u7684\u670d\u52a1\u5668\uff08nvcc\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/67618.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u914d\u7f6e\u5b9e\u9a8c\u5ba4\u7684\u670d\u52a1\u5668\uff08nvcc\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"\u5b9e\u9a8c\u5ba4\u7684\u670d\u52a1\u5668\u662f\u591a\u7528\u6237\u5171\u4eab\u7269\u7406\u673a&#xff0c;\u4f46\u7cfb\u7edf\u4f1a\u7ed9\u6bcf\u4e2a\u8d26\u53f7\u5206\u914d\u300c\u72ec\u7acb\u7684\u7528\u6237\u76ee\u5f55\u300d&#xff08;\u4f60\u7684\u76ee\u5f55\u5c31\u662f \/home\/\u4f60\u7684\u7528\u6237\u540d\/&#xff09;&#xff0c;\u6240\u6709\u7528\u6237\u4e4b\u95f4\u4e92\u76f8\u9694\u79bb\u3001\u4e92\u4e0d\u5f71\u54cd&#xff1a; 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