18.\uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84 \uad6c\ucd95\ud558\uae30, CUDA\uc640 cuDNN \uc124\uce58 \uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc5d0 \ud544\uc694\ud55c CUDA Toolkit\uacfc cuDNN \uc124\uce58 \ubc29\ubc95 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/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:\/\/atmokpo.com\/w\/41606\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"18.\uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc6a9 \uc11c\ubc84 \uad6c\ucd95\ud558\uae30, CUDA\uc640 cuDNN \uc124\uce58 \uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc5d0 \ud544\uc694\ud55c CUDA Toolkit\uacfc cuDNN \uc124\uce58 \ubc29\ubc95 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd(ML)\uc740 \ud604\ub300 \uae30\uc220 \ubc1c\uc804\uc758 \ud575\uc2ec\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc740 \ud2b9\ud788 GPU\ub97c \uc0ac\uc6a9\ud55c \ubcd1\ub82c \uacc4\uc0b0\uc744 \ud1b5\ud574 \uadf8 \uc131\ub2a5\uc774 \ud06c\uac8c \ud5a5\uc0c1\ub429\ub2c8\ub2e4. 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\uc774 \uae00\uc5d0\uc11c\ub294 Ubuntu \uc11c\ubc84\uc5d0 \uc778\uacf5\uc9c0\ub2a5 \ud6c8\ub828\uc744 \uc704\ud55c CUDA Toolkit\uacfc cuDNN\uc744 \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc744 \uc790\uc138\ud788 \uc124\uba85\ud588\uc2b5\ub2c8\ub2e4. \uc801\uc808\ud788 \uc124\uce58\ud558\uace0 \uc124\uc815\ud558\uba74, \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc758 \ud6c8\ub828 \uc18d\ub3c4\ub97c \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, GPU\ub97c \ud65c\uc6a9\ud558\uc5ec \ub300\uaddc\ubaa8 \ub370\uc774\ud130\uc14b\uc744 \ub2e4\ub8e8\ub294 \ub370 \ud544\uc694\ud55c \uc2dc\uac04\uc744 \ub2e8\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

\uc774\uc81c \uc5ec\ub7ec\ubd84\uc740 \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uae30 \uc704\ud55c \uc900\ube44\uac00 \uc644\ub8cc\ub418\uc5c8\uc2b5\ub2c8\ub2e4. CUDA\uc640 cuDNN\uc758 \ud798\uc744 \ube4c\ub824 \uace0\uc131\ub2a5 AI \ubaa8\ub378\uc744 \uad6c\ucd95\ud574\ubcf4\uc138\uc694!<\/p>\n

\n\ucc38\uace0:<\/strong> \ubaa8\ub4e0 \uc124\uce58 \uacfc\uc815\uc5d0\uc11c \ud2b9\uc815 \uc624\ub958\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc73c\uba70, \uc774\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud55c \ucd94\uac00\uc801\uc778 \uc870\uc0ac\ub97c \uc218\ud589\ud574\uc57c \ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ub2e8\uacc4\uc5d0\uc11c \uc81c\uacf5\ub41c \ub9c1\ud06c\uc640 \ubb38\uc11c\ub97c \ucc38\uace0\ud558\uc5ec \uc124\uce58 \uacfc\uc815\uc744 \ucd5c\ub300\ud55c \uc6d0\ud65c\ud558\uac8c \uc9c4\ud589\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.\n <\/div>\n
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CUDA\uc640 cuDNN\uc740 NVIDIA\uc758 GPU\uc5d0\uc11c \uc778\uacf5\uc9c0\ub2a5 \ubaa8\ub378\uc744 \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc73c\ub85c \ud6c8\ub828\uc2dc\ud0ac \uc218 \uc788\ub3c4\ub85d \uc9c0\uc6d0\ud558\ub294 \ud544\uc218 \uc18c\ud504\ud2b8\uc6e8\uc5b4\uc785\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 Ubuntu \uc11c\ubc84\uc5d0 CUDA Toolkit\uacfc cuDNN\uc744 \uc124\uce58\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. CUDA\ub780? 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5. cuDNN \uc124\uce58 \ubc29\ubc95<\/h2>\n

4. CUDA Toolkit \uc124\uce58 \ubc29\ubc95<\/h2>\n

4. CUDA Toolkit \uc124\uce58 \ubc29\ubc95<\/h2>\n

4.4 \uc124\uce58 \ud655\uc778<\/h3>\nCUDA Toolkit \uc124\uce58\uac00 \uc644\ub8cc\ub41c \ud6c4, CUDA\uac00 \uc81c\ub300\ub85c \uc124\uce58\ub418\uc5c8\ub294\uc9c0 \ud655\uc778\ud569\ub2c8\ub2e4.<\/p>\n

5. cuDNN \uc124\uce58 \ubc29\ubc95<\/h2>\n

6. \ud658\uacbd \ubcc0\uc218 \uc124\uc815<\/h2>\ncuDNN\uc744 \uc124\uce58\ud55c \ud6c4, \ud658\uacbd \ubcc0\uc218\ub97c \ub2e4\uc2dc \uc124\uc815\ud574\uc57c \ud569\ub2c8\ub2e4. ~\/.bashrc \ud30c\uc77c\uc5d0 \ub2e4\uc74c \ub0b4\uc6a9\uc744 \ucd94\uac00\ud569\ub2c8\ub2e4.<\/p>\n

7.1 TensorFlow \uc124\uce58<\/h3>\npip install tensorflow<\/code><\/pre>\n7.2 PyTorch \uc124\uce58<\/h3>\nPyTorch\uc758 \uacbd\uc6b0, \uc544\ub798\uc758 \uba85\ub839\uc744 \ud1b5\ud574 CUDA \ubc84\uc804\uc5d0 \ub9de\ub294 \uc124\uce58\ub97c \uc9c4\ud589\ud569\ub2c8\ub2e4.<\/p>\n

7.2 PyTorch \uc124\uce58<\/h3>\nPyTorch\uc758 \uacbd\uc6b0, \uc544\ub798\uc758 \uba85\ub839\uc744 \ud1b5\ud574 CUDA \ubc84\uc804\uc5d0 \ub9de\ub294 \uc124\uce58\ub97c \uc9c4\ud589\ud569\ub2c8\ub2e4.<\/p>\n