{"id":2833,"date":"2020-04-02T23:06:19","date_gmt":"2020-04-02T14:06:19","guid":{"rendered":"https:\/\/blog.boxcorea.com\/wp\/?p=2833"},"modified":"2024-09-09T11:41:32","modified_gmt":"2024-09-09T02:41:32","slug":"ubuntu-18-04-nvidia-cuda-%ec%84%a4%ec%b9%98%ed%95%98%ea%b8%b0","status":"publish","type":"post","link":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833","title":{"rendered":"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30."},"content":{"rendered":"

Ubuntu 18.04, nvidia cuda \uc124\uce58<\/h3>\n

1. GPU \uc124\uce58 \ud655\uc778
\nTesla V100\uc774 \uc124\uce58\ub418\uc5b4 \uc788\uc73c\uba70, device driver\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc9c0 \uc54a\uc544\uc11c UNCLAIMED\ub85c \ud45c\uc2dc\ub41c\ub2e4.<\/p>\n

$ sudo lshw -c display\r\n  *-display:1 UNCLAIMED\r\n       description: 3D controller\r\n       product: GV100GL [Tesla V100 SXM2 32GB]\r\n       vendor: NVIDIA Corporation\r\n       physical id: 9\r\n       bus info: pci@0000:00:09.0\r\n       version: a1\r\n       width: 64 bits\r\n       clock: 33MHz\r\n       capabilities: pm msi pciexpress cap_list\r\n       configuration: latency=0\r\n       resources: iomemory:80-7f iomemory:100-ff memory:fc000000-fcffffff memory:800000000-fffffffff memory:1000000000-1001ffffff<\/pre>\n
<\/p>\n
2. CUDA \uc124\uce58(nvidia \ub514\ubc14\uc774\uc2a4 \ub4dc\ub77c\uc774\ubc84\ub3c4 \ud568\uaed8 \uc124\uce58)<\/p>\n
\ub2e4\uc6b4\ub85c\ub4dc : https:\/\/developer.nvidia.com\/cuda-downloads<\/a>
\n\ub2e4\uc6b4\ub85c\ub4dc \uc0ac\uc774\ud2b8\uc5d0 \ub4e4\uc5b4\uac00\uc11c \uc124\uce58\ud560 \uc2dc\uc2a4\ud15c\uc5d0 \ub9de\ub294 \ubc84\uc804\uc744 \uc120\ud0dd\ud55c\ub2e4. \uc544\ub798\ub294 ubuntu linux 64bit\uc6a9\uc774\ub2e4.<\/p>\n
$ wget http:\/\/developer.download.nvidia.com\/compute\/cuda\/10.2\/Prod\/local_installers\/cuda_10.2.89_440.33.01_linux.run<\/pre>\n
\ub2e4\uc6b4\ub85c\ub4dc \ubc1b\uc740 \ud3f4\ub354\uc5d0\uc11c \ub2e4\uc6b4\ub85c\ub4dc \ubc1b\uc740 \ud30c\uc77c\uc744 \uc2e4\ud589\ud55c\ub2e4.<\/p>\n
$ sudo sh -x cuda_10.2.89_440.33.01_linux.run<\/pre>\n
\ub9cc\uc57d, \ucef4\ud30c\uc77c\ub7ec\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc9c0 \uc54a\uc544\uc11c \uc624\ub958\uac00 \ubc1c\uc0dd\ud55c\ub2e4\uba74, \uc544\ub798 \uba85\ub839\uc73c\ub85c \ucef4\ud30c\uc77c\ub7ec\ub97c \uc124\uce58\ud574 \uc900\ub2e4.<\/p>\n
$ sudo apt-get install build-essential<\/pre>\n
\uc124\uce58\uac00 \uc2dc\uc791\ub418\uace0, \ub77c\uc774\uc13c\uc2a4 \ub3d9\uc758 \ud654\uba74\uc5d0\uc11c yes \uc785\ub825\ud558\uba74, \uc544\ub798\ucc98\ub7fc \ub4dc\ub77c\uc774\ubc84\ub97c \ube44\ub86f\ud574 cuda \ud234\ud0b7\uc744 \uc124\uce58\ud560 \uc218 \uc788\ub294 \uba54\ub274\uac00 \ubcf4\uc778\ub2e4.<\/p>\n
\u250c\u2500\u2510\r\n\u2502 CUDA Installer se Agreement                                                  \u2502\r\n\u2502 - [X] Driver                                                                 \u2502\r\n\u2502      [X] 440.33.01                                                           \u2502\r\n\u2502 + [X] CUDA Toolkit 10.2                                                      \u2502\r\n\u2502   [X] CUDA Samples 10.2                                                      \u2502\r\n\u2502   [X] CUDA Demo Suite 10.2                                                   \u2502\r\n\u2502   [X] CUDA Documentation 10.2                                                \u2502\r\n\u2502   Options                                                                    \u2502\r\n\u2502   Install                                                                    \u2502\r\n\u2502                                                                              \u2502\r\n\u2502                                                                              \u2502\r\n\u2502                                                                              \u2502\r\n\u2502                                                                              \u2502\r\n\u2502                                                                              \u2502\r\n\u2502   VIDIA Driver                                                               \u2502\r\n\u2502                                                                              \u2502\r\n\u2502                                                                              \u2502\r\n\u2502   escription                                                                 \u2502\r\n\u2502                                                                              \u2502\r\n\u2502                                                                              \u2502\r\n\u2502\r\n\u2502                                                                              \u2502\r\n\u2502 Up\/Down: Move | Left\/Right: Expand | 'Enter': Select | 'A': Advanced options \u2502\r\n<\/pre>\n
install\uc744 \uc120\ud0dd\ud558\uace0 enter \ud0a4\ub97c \ub204\ub978\ub2e4.
\n\uc124\uce58\uac00 \uc644\ub8cc\ub418\uba74 \uc544\ub798\uc640 \uac19\uc774 PATH, LD_LIBRARY_PATH \ud658\uacbd\ubcc0\uc218\ub97c \uc124\uc815 \ubc29\ubc95\uacfc \uc0ad\uc81c \ubc29\ubc95\uc744 \uc548\ub0b4\ud574\uc900\ub2e4.<\/p>\n
===========\r\n= Summary =\r\n===========\r\n\r\nDriver:   Installed\r\nToolkit:  Installed in \/usr\/local\/cuda-10.2\/\r\nSamples:  Installed in \/home\/snowfox\/, but missing recommended libraries\r\n\r\nPlease make sure that\r\n -   PATH includes \/usr\/local\/cuda-10.2\/bin\r\n -   LD_LIBRARY_PATH includes \/usr\/local\/cuda-10.2\/lib64, or, add \/usr\/local\/cuda-10.2\/lib64 to \/etc\/ld.so.conf and run ldconfig as root\r\n\r\nTo uninstall the CUDA Toolkit, run cuda-uninstaller in \/usr\/local\/cuda-10.2\/bin\r\nTo uninstall the NVIDIA Driver, run nvidia-uninstall\r\n\r\nPlease see CUDA_Installation_Guide_Linux.pdf in \/usr\/local\/cuda-10.2\/doc\/pdf for detailed information on setting up CUDA.\r\nLogfile is \/var\/log\/cuda-installer.log\r\n<\/pre>\n
nvidia \ub4dc\ub77c\uc774\ubc84 \uc124\uce58 \ud655\uc778<\/p>\n
$ sudo nvidia-smi\r\nMon Mar 30 08:30:34 2020\r\n+-----------------------------------------------------------------------------+\r\n| NVIDIA-SMI 440.33.01    Driver Version: 440.33.01    CUDA Version: 10.2     |\r\n|-------------------------------+----------------------+----------------------+\r\n| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\r\n| Fan  Temp  Perf  Pwr:Usage\/Cap|         Memory-Usage | GPU-Util  Compute M. |\r\n|===============================+======================+======================|\r\n|   0  Tesla V100-SXM2...  Off  | 00000000:00:08.0 Off |                    0 |\r\n| N\/A   29C    P0    38W \/ 300W |      0MiB \/ 32510MiB |      4%      Default |\r\n+-------------------------------+----------------------+----------------------+\r\n\r\n+-----------------------------------------------------------------------------+\r\n| Processes:                                                       GPU Memory |\r\n|  GPU       PID   Type   Process name                             Usage      |\r\n|=============================================================================|\r\n|  No running processes found                                                 |\r\n+-----------------------------------------------------------------------------+<\/pre>\n
GPU \ud14c\uc2a4\ud2b8(gpu_burn\uc740 \uc774\uc804\uae00 nvidia GPU \uc2a4\ud2b8\ub808\uc2a4 \ud14c\uc2a4\ud2b8<\/a> \ucc38\uc870)<\/p>\n
gpu_burn\uc73c\ub85c \ud14c\uc2a4\ud2b8\ud558\uae30\uc704\ud574 make\ud558\uae30\uc804\uc5d0 \uc544\ub798 \ud658\uacbd\ubcc0\uc218 \uc124\uc815\ud574\uc57c\ud55c\ub2e4.<\/p>\n
$ PATH=$PATH:\/usr\/local\/cuda-10.2\/bin\r\n$ export PATH\r\n$ LD_LIBRARY_PATH=$LD_LIBRARY_PATH:\/usr\/local\/cuda-10.2\/lib64\r\ns$ export PATH\r\n$ export LD_LIBRARY_PATH<\/pre>\n
gpu \ud14c\uc2a4\ud2b8\uae4c\uc9c0 \uc774\uc0c1 \uc5c6\ub2e4\uba74 CUDA\ub97c \uc0ac\uc6a9\ud560 \uc900\ube44\uac00 \ub05d\ub0ac\ub2e4.<\/p>\n
3. nvidia \ub4dc\ub77c\uc774\ubc84\ub9cc \uc124\uce58
\n\uc5ec\uae30\uc11c\ub294 cuda\ub97c \uc0ac\uc6a9\ud558\uc9c0 \uc54a\uace0 nvidia device driver\ub9cc \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc774\ub2e4.<\/p>\n
\ub4dc\ub77c\uc774\ubc84 \uc124\uce58\ub97c \uc704\ud55c repository\ub97c \ub4f1\ub85d\ud55c\ub2e4.<\/p>\n
$ sudo add-apt-repository ppa:graphics-drivers\/ppa\r\n Fresh drivers from upstream, currently shipping Nvidia.\r\n\r\n## Current Status\r\n\r\nCurrent long-lived branch release: `nvidia-430` (430.40)\r\nDropped support for Fermi series (https:\/\/nvidia.custhelp.com\/app\/answers\/detail\/a_id\/4656)\r\n...\r\nPress [ENTER] to continue or Ctrl-c to cancel adding it.<\/pre>\n
\uc704\uc5d0\uc11c, \ud604\uc7ac \ub4dc\ub77c\uc774\ubc84 \ubc84\uc804\uc774 430\uc778 \uac83\uc744 \ud655\uc778\ud55c\ub2e4.<\/p>\n
\uc774\uc81c \uc544\ub798 \uba85\ub839\uc73c\ub85c \ub4dc\ub77c\uc774\ubc84\ub97c \uc124\uce58\ud558\uace0 \uc7ac\ubd80\ud305\ud55c\ub2e4.<\/p>\n
$ sudo apt-get update\r\n$ sudo apt-get install nvidia-driver-430\r\n$ sudo reboot\r\n<\/pre>\n
\ub4dc\ub77c\uc774\ubc84\ub97c \ud655\uc778\ud574 \ubcf8\ub2e4.<\/p>\n
$ sudo lshw -c display\r\n[sudo] password for snowfox:\r\n  *-display:1\r\n       description: 3D controller\r\n       product: GV100GL [Tesla V100 SXM2 32GB]\r\n       vendor: NVIDIA Corporation\r\n       physical id: 9\r\n       bus info: pci@0000:00:09.0\r\n       version: a1\r\n       width: 64 bits\r\n       clock: 33MHz\r\n       capabilities: pm msi pciexpress bus_master cap_list\r\n       configuration: driver=nvidia latency=0\r\n       resources: iomemory:80-7f iomemory:100-ff irq:31 memory:fc000000-fcffffff memory:800000000-fffffffff memory:1000000000-1001ffffff<\/pre>\n
\uc774\uc81c, UNCLAIMED \uac00 \uc0ac\ub77c\uc84c\ub2e4.<\/p>\n
nvidia-smi \uba85\ub839\uc73c\ub85c \ud655\uc778\ud574 \ubcf8\ub2e4.<\/p>\n
$ sudo nvidia-smi\r\nMon Mar 30 05:01:34 2020\r\n+-----------------------------------------------------------------------------+\r\n| NVIDIA-SMI 440.64       Driver Version: 440.64       CUDA Version: 10.2     |\r\n|-------------------------------+----------------------+----------------------+\r\n| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\r\n| Fan  Temp  Perf  Pwr:Usage\/Cap|         Memory-Usage | GPU-Util  Compute M. |\r\n|===============================+======================+======================|\r\n|   0  Tesla V100-SXM2...  Off  | 00000000:00:09.0 Off |                    0 |\r\n| N\/A   30C    P0    23W \/ 300W |      0MiB \/ 32510MiB |      0%      Default |\r\n+-------------------------------+----------------------+----------------------+\r\n\r\n+-----------------------------------------------------------------------------+\r\n| Processes:                                                       GPU Memory |\r\n|  GPU       PID   Type   Process name                             Usage      |\r\n|=============================================================================|\r\n|  No running processes found                                                 |\r\n+-----------------------------------------------------------------------------+<\/pre>\n","protected":false},"excerpt":{"rendered":"
Ubuntu 18.04, nvidia cuda \uc124\uce58 1. GPU \uc124\uce58 \ud655\uc778 Tesla V100\uc774 \uc124\uce58\ub418\uc5b4 \uc788\uc73c\uba70, device driver\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc9c0 \uc54a\uc544\uc11c UNCLAIMED\ub85c \ud45c\uc2dc\ub41c\ub2e4. $ sudo lshw -c display *-display:1 UNCLAIMED description: 3D controller product: GV100GL [Tesla V100 SXM2 32GB] vendor: NVIDIA Corporation physical id: 9 bus info: pci@0000:00:09.0 version: a1 width: 64 bits clock: 33MHz capabilities: pm msi … <\/p>\n
Continue reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[4],"tags":[693,1318,691,1319,692,13,1230,694],"class_list":["post-2833","post","type-post","status-publish","format-standard","hentry","category-linux","tag-cuda-","tag-gpu","tag-linux-cuda","tag-nvidia","tag-ubuntu-18-04-cuda","tag-13","tag-1230","tag--nvidia--","item-wrap"],"yoast_head":"\nUbuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30. - Blog-boxcorea<\/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:\/\/blog.boxcorea.com\/wp\/archives\/2833\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30. - Blog-boxcorea\" \/>\n<meta property=\"og:description\" content=\"Ubuntu 18.04, nvidia cuda \uc124\uce58 1. GPU \uc124\uce58 \ud655\uc778 Tesla V100\uc774 \uc124\uce58\ub418\uc5b4 \uc788\uc73c\uba70, device driver\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc9c0 \uc54a\uc544\uc11c UNCLAIMED\ub85c \ud45c\uc2dc\ub41c\ub2e4. $ sudo lshw -c display *-display:1 UNCLAIMED description: 3D controller product: GV100GL [Tesla V100 SXM2 32GB] vendor: NVIDIA Corporation physical id: 9 bus info: pci@0000:00:09.0 version: a1 width: 64 bits clock: 33MHz capabilities: pm msi … Continue reading\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833\" \/>\n<meta property=\"og:site_name\" content=\"Blog-boxcorea\" \/>\n<meta property=\"article:published_time\" content=\"2020-04-02T14:06:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-09T02:41:32+00:00\" \/>\n<meta name=\"author\" content=\"snowffox\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"snowffox\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#article\",\"isPartOf\":{\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833\"},\"author\":{\"name\":\"snowffox\",\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/#\/schema\/person\/6d8e12df2429d663a0a4e8362fbb650a\"},\"headline\":\"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30.\",\"datePublished\":\"2020-04-02T14:06:19+00:00\",\"dateModified\":\"2024-09-09T02:41:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833\"},\"wordCount\":49,\"commentCount\":0,\"keywords\":[\"cuda \uc124\uce58\",\"GPU\",\"linux cuda\",\"nvidia\",\"ubuntu 18.04 cuda\",\"\ub9ac\ub205\uc2a4\",\"\uc6b0\ubd84\ud22c\",\"\uc6b0\ubd84\ud22c nvidia \ub4dc\ub77c\uc774\ubc84 \uc124\uce58\"],\"articleSection\":[\"Linux(\ub9ac\ub205\uc2a4)\"],\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833\",\"url\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833\",\"name\":\"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30. - Blog-boxcorea\",\"isPartOf\":{\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/#website\"},\"datePublished\":\"2020-04-02T14:06:19+00:00\",\"dateModified\":\"2024-09-09T02:41:32+00:00\",\"author\":{\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/#\/schema\/person\/6d8e12df2429d663a0a4e8362fbb650a\"},\"breadcrumb\":{\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#breadcrumb\"},\"inLanguage\":\"ko-KR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/blog.boxcorea.com\/wp\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30.\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/#website\",\"url\":\"https:\/\/blog.boxcorea.com\/wp\/\",\"name\":\"Blog-boxcorea\",\"description\":\"Simple is Beautiful!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/blog.boxcorea.com\/wp\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ko-KR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/blog.boxcorea.com\/wp\/#\/schema\/person\/6d8e12df2429d663a0a4e8362fbb650a\",\"name\":\"snowffox\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ko-KR\",\"@id\":\"https:\/\/secure.gravatar.com\/avatar\/c0787be58ea7e470b1a6f5ea8ce367c7913809648a00e0c15faace5220902ffb?s=96&d=retro&r=g\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/c0787be58ea7e470b1a6f5ea8ce367c7913809648a00e0c15faace5220902ffb?s=96&d=retro&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/c0787be58ea7e470b1a6f5ea8ce367c7913809648a00e0c15faace5220902ffb?s=96&d=retro&r=g\",\"caption\":\"snowffox\"},\"url\":\"https:\/\/blog.boxcorea.com\/wp\/archives\/author\/admin\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30. - Blog-boxcorea","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833","og_locale":"ko_KR","og_type":"article","og_title":"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30. - Blog-boxcorea","og_description":"Ubuntu 18.04, nvidia cuda \uc124\uce58 1. GPU \uc124\uce58 \ud655\uc778 Tesla V100\uc774 \uc124\uce58\ub418\uc5b4 \uc788\uc73c\uba70, device driver\uac00 \uc124\uce58\ub418\uc5b4 \uc788\uc9c0 \uc54a\uc544\uc11c UNCLAIMED\ub85c \ud45c\uc2dc\ub41c\ub2e4. $ sudo lshw -c display *-display:1 UNCLAIMED description: 3D controller product: GV100GL [Tesla V100 SXM2 32GB] vendor: NVIDIA Corporation physical id: 9 bus info: pci@0000:00:09.0 version: a1 width: 64 bits clock: 33MHz capabilities: pm msi … Continue reading","og_url":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833","og_site_name":"Blog-boxcorea","article_published_time":"2020-04-02T14:06:19+00:00","article_modified_time":"2024-09-09T02:41:32+00:00","author":"snowffox","twitter_card":"summary_large_image","twitter_misc":{"Written by":"snowffox","Est. reading time":"3\ubd84"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#article","isPartOf":{"@id":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833"},"author":{"name":"snowffox","@id":"https:\/\/blog.boxcorea.com\/wp\/#\/schema\/person\/6d8e12df2429d663a0a4e8362fbb650a"},"headline":"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30.","datePublished":"2020-04-02T14:06:19+00:00","dateModified":"2024-09-09T02:41:32+00:00","mainEntityOfPage":{"@id":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833"},"wordCount":49,"commentCount":0,"keywords":["cuda \uc124\uce58","GPU","linux cuda","nvidia","ubuntu 18.04 cuda","\ub9ac\ub205\uc2a4","\uc6b0\ubd84\ud22c","\uc6b0\ubd84\ud22c nvidia \ub4dc\ub77c\uc774\ubc84 \uc124\uce58"],"articleSection":["Linux(\ub9ac\ub205\uc2a4)"],"inLanguage":"ko-KR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/blog.boxcorea.com\/wp\/archives\/2833#respond"]}]},{"@type":"WebPage","@id":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833","url":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833","name":"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30. - Blog-boxcorea","isPartOf":{"@id":"https:\/\/blog.boxcorea.com\/wp\/#website"},"datePublished":"2020-04-02T14:06:19+00:00","dateModified":"2024-09-09T02:41:32+00:00","author":{"@id":"https:\/\/blog.boxcorea.com\/wp\/#\/schema\/person\/6d8e12df2429d663a0a4e8362fbb650a"},"breadcrumb":{"@id":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#breadcrumb"},"inLanguage":"ko-KR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/blog.boxcorea.com\/wp\/archives\/2833"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/blog.boxcorea.com\/wp\/archives\/2833#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/blog.boxcorea.com\/wp"},{"@type":"ListItem","position":2,"name":"Ubuntu 18.04, nvidia cuda \uc124\uce58\ud558\uae30."}]},{"@type":"WebSite","@id":"https:\/\/blog.boxcorea.com\/wp\/#website","url":"https:\/\/blog.boxcorea.com\/wp\/","name":"Blog-boxcorea","description":"Simple is Beautiful!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/blog.boxcorea.com\/wp\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ko-KR"},{"@type":"Person","@id":"https:\/\/blog.boxcorea.com\/wp\/#\/schema\/person\/6d8e12df2429d663a0a4e8362fbb650a","name":"snowffox","image":{"@type":"ImageObject","inLanguage":"ko-KR","@id":"https:\/\/secure.gravatar.com\/avatar\/c0787be58ea7e470b1a6f5ea8ce367c7913809648a00e0c15faace5220902ffb?s=96&d=retro&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/c0787be58ea7e470b1a6f5ea8ce367c7913809648a00e0c15faace5220902ffb?s=96&d=retro&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/c0787be58ea7e470b1a6f5ea8ce367c7913809648a00e0c15faace5220902ffb?s=96&d=retro&r=g","caption":"snowffox"},"url":"https:\/\/blog.boxcorea.com\/wp\/archives\/author\/admin"}]}},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p4wGXL-JH","jetpack_likes_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/posts\/2833","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/comments?post=2833"}],"version-history":[{"count":2,"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/posts\/2833\/revisions"}],"predecessor-version":[{"id":2835,"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/posts\/2833\/revisions\/2835"}],"wp:attachment":[{"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/media?parent=2833"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/categories?post=2833"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.boxcorea.com\/wp\/wp-json\/wp\/v2\/tags?post=2833"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}