{"id":22131,"date":"2025-07-27T21:56:54","date_gmt":"2025-07-27T14:56:54","guid":{"rendered":"https:\/\/thegioimaychu.vn\/blog\/?p=22131"},"modified":"2025-07-30T08:16:25","modified_gmt":"2025-07-30T01:16:25","slug":"huong-dan-cai-dat-nvidia-tao-toolkit-cho-nguoi-moi","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/tong-hop\/huong-dan-cai-dat-nvidia-tao-toolkit-cho-nguoi-moi-p22131\/","title":{"rendered":"H\u01b0\u1edbng d\u1eabn c\u00e0i \u0111\u1eb7t NVIDIA TAO Toolkit cho ng\u01b0\u1eddi m\u1edbi"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><h3><strong>NVIDIA TAO Toolkit l\u00e0 g\u00ec?<\/strong><\/h3>\n<p>NVIDIA TAO Toolkit (Train, Adapt, Optimize) l\u00e0 m\u1ed9t b\u1ed9 c\u00f4ng c\u1ee5 AI no-code \/ low-code \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n b\u1edfi NVIDIA, \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng d\u1ef1a tr\u00ean n\u1ec1n t\u1ea3ng TensorFlow v\u00e0 PyTorch. M\u1ee5c ti\u00eau c\u1ee7a TAO l\u00e0 h\u1ed7 tr\u1ee3 \u0111\u01a1n gi\u1ea3n h\u00f3a v\u00e0 t\u0103ng t\u1ed1c qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n, t\u00f9y bi\u1ebfn v\u00e0 t\u1ed1i \u01b0u m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u b\u1eb1ng c\u00e1ch tr\u1eebu t\u01b0\u1ee3ng h\u00f3a s\u1ef1 ph\u1ee9c t\u1ea1p c\u1ee7a c\u00e1c ki\u1ebfn tr\u00fac m\u1ea1ng v\u00e0 c\u00e1c framework h\u1ecdc s\u00e2u truy\u1ec1n th\u1ed1ng.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-22202\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tao-toolkit-og-1200x630-2.jpg\" alt=\"\" width=\"1200\" height=\"630\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tao-toolkit-og-1200x630-2.jpg 1200w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tao-toolkit-og-1200x630-2-300x158.jpg 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tao-toolkit-og-1200x630-2-768x403.jpg 768w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tao-toolkit-og-1200x630-2-1024x538.jpg 1024w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tao-toolkit-og-1200x630-2-40x21.jpg 40w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<p>TAO Toolkit cung c\u1ea5p \u0111\u1ea7y \u0111\u1ee7 c\u00e1c c\u00f4ng c\u1ee5 c\u1ea7n thi\u1ebft \u0111\u1ec3 b\u1ea1n c\u00f3 th\u1ec3 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh AI m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 hi\u1ec7u qu\u1ea3. Ngo\u00e0i ra, TAO c\u00f2n cung c\u1ea5p h\u01a1n 100 m\u00f4 h\u00ecnh <a class=\"iblink\" href=\"\/blog\/tag\/computer-vision\/\">th\u1ecb gi\u00e1c m\u00e1y t\u00ednh<\/a> \u0111\u00e3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n s\u1eb5n v\u00e0 l\u01b0u tr\u1eef tr\u00ean NGC (NVIDIA GPU Cloud). B\u1ea1n ho\u00e0n to\u00e0n c\u00f3 th\u1ec3 ch\u1ecdn v\u00e0 tri\u1ec3n khai m\u1ed9t m\u00f4 h\u00ecnh ph\u00f9 h\u1ee3p, t\u00f9y ch\u1ec9nh l\u1ea1i tr\u00ean b\u1ed9 d\u1eef li\u1ec7u ri\u00eang, xu\u1ea5t m\u00f4 h\u00ecnh t\u1ed1i \u01b0u v\u00e0 tri\u1ec3n khai inference v\u1edbi ch\u1ec9 v\u00e0i d\u00f2ng l\u1ec7nh \u2014 ho\u1eb7c th\u1eadm ch\u00ed kh\u00f4ng c\u1ea7n vi\u1ebft d\u00f2ng code n\u00e0o.<\/p>\n<h3><strong>V\u1eady NVIDIA TAO Toolkit ti\u1ec7n l\u1ee3i nh\u01b0 v\u1eady th\u00ec l\u00e0m sao \u0111\u1ec3 t\u1ea3i v\u00e0 c\u00e0i \u0111\u1eb7t?<\/strong><\/h3>\n<p>T\u01b0\u01a1ng t\u1ef1 nh\u01b0 NVIDIA Container Toolkit (n\u1ebfu b\u1ea1n ch\u01b0a bi\u1ebft c\u00f3 th\u1ec3 tham kh\u1ea3o b\u00e0i vi\u1ebft: <a href=\"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/huong-dan-cai-dat-nvidia-container-toolkit-tich-hop-voi-docker-p21967\/\">H\u01b0\u1edbng d\u1eabn c\u00e0i \u0111\u1eb7t NVIDIA Container Toolkit t\u00edch h\u1ee3p v\u1edbi Docker<\/a>), TAO Toolkit \u0111\u01b0\u1ee3c NVIDIA \u0111\u00f3ng g\u00f3i s\u1eb5n trong c\u00e1c Docker container v\u00e0 ph\u00e1t h\u00e0nh tr\u00ean NGC. Ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 l\u1ef1a ch\u1ecdn t\u1ea3i v\u1ec1 v\u00e0 s\u1eed d\u1ee5ng tr\u1ef1c ti\u1ebfp container t\u1eeb NGC, ho\u1eb7c c\u00e0i \u0111\u1eb7t c\u00f4ng c\u1ee5 launcher \u0111\u1ec3 s\u1eed d\u1ee5ng thu\u1eadn ti\u1ec7n h\u01a1n.<\/p>\n<p>N\u1ebfu b\u1ea1n ch\u1ec9 mu\u1ed1n d\u00f9ng TAO Toolkit \u0111\u1ec3 ch\u1ea1y nhanh m\u1ed9t t\u00e1c v\u1ee5 \u0111\u1ec3 test th\u1eed, th\u00ec vi\u1ec7c \u201cpull\u201d container t\u1eeb NGC l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn h\u1ee3p l\u00fd. Tuy nhi\u00ean, n\u1ebfu b\u1ea1n c\u00f3 nhu c\u1ea7u s\u1eed d\u1ee5ng l\u00e2u d\u00e0i, c\u1ea7n t\u00f9y bi\u1ebfn nhi\u1ec1u, tri\u1ec3n khai l\u00ean h\u1ec7 th\u1ed1ng th\u1ef1c t\u1ebf th\u00ec m\u00ecnh khuy\u00ean b\u1ea1n n\u00ean c\u00e0i \u0111\u1eb7t launcher tr\u1ef1c ti\u1ebfp v\u00e0o m\u00e1y. Vi\u1ec7c n\u00e0y s\u1ebd gi\u00fap b\u1ea1n ch\u1ee7 \u0111\u1ed9ng h\u01a1n trong vi\u1ec7c ch\u1ecdn phi\u00ean b\u1ea3n ph\u00f9 h\u1ee3p v\u1edbi m\u00f4i tr\u01b0\u1eddng hi\u1ec7n c\u00f3, \u0111\u1ed3ng th\u1eddi d\u1ec5 d\u00e0ng t\u00edch h\u1ee3p v\u1edbi h\u1ec7 th\u1ed1ng khi c\u1ea7n g\u1eafn c\u00e1c th\u01b0 m\u1ee5c d\u1eef li\u1ec7u, mount t\u1eeb host, l\u00e0m vi\u1ec7c v\u1edbi Streamlit ho\u1eb7c c\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c.<\/p>\n<p>N\u00f3i \u0111\u01a1n gi\u1ea3n cho d\u1ec5 hi\u1ec3u th\u00ec c\u00f3 2 c\u00e1ch \u0111\u1ec3 c\u00e0i \u0111\u1eb7t v\u00e0 s\u1eed d\u1ee5ng TAO:<\/p>\n<ol>\n<li>C\u00e0i \u0111\u1eb7t b\u1eb1ng c\u00e1ch pull container t\u1eeb NGC v\u1ec1: c\u00e1ch n\u00e0y d\u00f9ng \u0111\u1ec3 test nhanh m\u00f4 h\u00ecnh v\u00e0 kh\u00f4ng c\u1ea7n c\u1ea5u h\u00ecnh g\u00ec<\/li>\n<li>C\u00e0i \u0111\u1eb7t TAO Launcher v\u1ec1 m\u00e1y: c\u00e1ch n\u00e0y c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 b\u1ea1n t\u00f9y bi\u1ebfn quy tr\u00ecnh hu\u1ea5n luy\u1ec7n, g\u1eafn th\u01b0 m\u1ee5c d\u1eef li\u1ec7u t\u1eeb host (mounts volumes) v\u00e0 t\u00edch h\u1ee3p v\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng nh\u01b0 Streamlit,&#8230;<\/li>\n<\/ol>\n<p>V\u1eady n\u1ebfu b\u1ea1n \u0111ang th\u1eafc m\u1eafc l\u00e0m sao \u0111\u1ec3 t\u1ea3i v\u00e0 s\u1eed d\u1ee5ng TAO Toolkit th\u00ec d\u01b0\u1edbi \u0111\u00e2y l\u00e0 h\u01b0\u1edbng d\u1eabn chi ti\u1ebft v\u1ec1 c\u00e1ch c\u00e0i \u0111\u1eb7t TAO Launcher \u0111\u1ec3 b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u.<\/p>\n<h3><strong>C\u00e0i \u0111\u1eb7t NVIDIA TAO Toolkit<\/strong><\/h3>\n<p>Tr\u01b0\u1edbc khi v\u00e0o ph\u1ea7n c\u00e0i \u0111\u1eb7t h\u00e3y ki\u1ec3m tra xem h\u1ec7 th\u1ed1ng c\u1ee7a b\u1ea1n \u0111\u00e3 \u0111\u00e1p \u1ee9ng \u0111\u1ee7 y\u00eau c\u1ea7u v\u1ec1 h\u1ec7 th\u1ed1ng ch\u01b0a nh\u00e9:<\/p>\n<p><strong>V\u1ec1 ph\u1ea7n c\u1ee9ng:<\/strong><\/p>\n<ul>\n<li style=\"text-align: left;\">T\u1ed1i thi\u1ec3u:<br \/>\n&#8211; CPU: 8 nh\u00e2n<br \/>\n&#8211; RAM: 8 GB<br \/>\n&#8211; SSD: &gt;= 100 GB<br \/>\n&#8211; NVIDIA GPU: \u00edt nh\u1ea5t l\u00e0 1 GPU v\u00ed d\u1ee5 c\u00e1c d\u00f2ng RTX 10\/20 series t\u1eeb 1060 \u0111\u1ed5 l\u00ean c\u00f3 kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n &gt;= 6.1<br \/>\n&#8211; GPU RAM: 4 GB<\/li>\n<li>\u0110\u1ec1 xu\u1ea5t:<br \/>\n&#8211; CPU: 8 nh\u00e2n<br \/>\n&#8211; RAM: 32 GB<br \/>\n&#8211; SSD: &gt;= 100 GB<br \/>\n&#8211; NVIDIA GPU: \u00edt nh\u1ea5t l\u00e0 1 GPU v\u00ed d\u1ee5 c\u00e1c d\u00f2ng A100, V100, RTX 30\/40 series<br \/>\n&#8211; GPU RAM: 32 GB<\/li>\n<\/ul>\n<p><strong>V\u1ec1 ph\u1ea7n m\u1ec1m:<\/strong><\/p>\n<ul>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">H\u1ec7 \u0111i\u1ec1u h\u00e0nh: Ubuntu 18.04 LTS ho\u1eb7c 20.04 (Ubuntu 22.04 c\u0169ng t\u01b0\u01a1ng th\u00edch v\u1edbi FTMS bare-metal)<\/span><\/li>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Python: \u2265 3.6.9 (th\u01b0\u1eddng Python 3.12 trong container)<\/span><\/li>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Docker CE: phi\u00ean b\u1ea3n &gt; 19.03.5<\/span><\/li>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Docker API: 1.40<\/span><\/li>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">NVIDIA Container Toolkit: &gt;1.3.0\u20111<\/span><\/li>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Driver NVIDIA: phi\u00ean b\u1ea3n &gt;465 (khuy\u1ebfn ngh\u1ecb \u2265520\u2013550 ho\u1eb7c m\u1edbi h\u01a1n khi d\u00f9ng FTMS)<\/span><\/li>\n<li><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Python-pip: &gt;21.06 v\u00e0 python-dev n\u1ebfu c\u1ea7n build g\u00f3i C\/C++<\/span><\/li>\n<\/ul>\n<p>N\u1ebfu b\u1ea1n \u0111\u00e3 \u0111\u00e1p \u1ee9ng \u0111\u1ee7 y\u00eau c\u1ea7u v\u1ec1 h\u1ec7 th\u1ed1ng th\u00ec ch\u00fang ta c\u00f9ng b\u1eaft \u0111\u1ea7u t\u1ea3i v\u00e0 c\u00e0i \u0111\u1eb7t NVIDIA TAO Toolkit n\u00e0o.<\/p>\n<ol>\n<li>\u0110\u1ea7u ti\u00ean c\u00e1c b\u1ea1n ph\u1ea3i t\u1ea3i v\u00e0 c\u00e0i \u0111\u1eb7t xong Docker + NVIDIA Container Toolkit. N\u1ebfu nh\u01b0 \u0111\u00e2y l\u00e0 l\u1ea7n \u0111\u1ea7u b\u1ea1n c\u00f3 th\u1ec3 xem c\u00e1c b\u00e0i vi\u1ebft d\u01b0\u1edbi \u0111\u00e2y:<br \/>\n<a href=\"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nvidia-nim-bien-y-tuong-ung-dung-ai-thanh-hien-thuc-trong-tam-tay-p21807\/\">&#8211; NVIDIA NIM: Bi\u1ebfn \u00fd t\u01b0\u1edfng \u1ee9ng d\u1ee5ng AI th\u00e0nh hi\u1ec7n th\u1ef1c trong t\u1ea7m tay<\/a><br \/>\n&#8211; <a href=\"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/huong-dan-cai-dat-nvidia-container-toolkit-tich-hop-voi-docker-p21967\/\">H\u01b0\u1edbng d\u1eabn c\u00e0i \u0111\u1eb7t NVIDIA Container Toolkit t\u00edch h\u1ee3p v\u1edbi Docker<\/a><br \/>\nNgo\u00e0i ra b\u1ea1n h\u00e3y \u0111\u0103ng nh\u1eadp v\u00e0o NGC b\u1eb1ng t\u00e0i kho\u1ea3n c\u1ee7a b\u1ea1n, n\u1ebfu b\u1ea1n ch\u01b0a c\u00f3 h\u00e3y t\u1ea1o cho m\u00ecnh 1 t\u00e0i kho\u1ea3n, \u0111\u0103ng nh\u1eadp v\u00e0o v\u00e0 t\u1ea1o API Key c\u1ee7a ri\u00eang b\u1ea1n, n\u1ebfu b\u1ea1n kh\u00f4ng bi\u1ebft l\u00e0m nh\u01b0 n\u00e0o h\u00e3y xem trong b\u00e0i vi\u1ebft v\u1ec1 NVIDIA NIM \u1edf tr\u00ean.<\/li>\n<li>Sau khi b\u1ea1n c\u00f3 API Key, m\u1edf Terminal Ubuntu c\u1ee7a b\u1ea1n v\u00e0 \u0111\u0103ng nh\u1eadp v\u00e0o NGC Docker Registry (nvcr.io) b\u1eb1ng l\u1ec7nh:\n<pre class=\"code\">docker login nvcr.io<\/pre>\n<p>N\u00f3 s\u1ebd h\u1ecfi b\u1ea1n v\u1ec1 username v\u00e0 password.<\/p>\n<pre class=\"code\">Username: $oauthtoken\r\nPassword: &lt;NGC_API_KEY_CUA_BAN&gt;<\/pre>\n<p>N\u1ebfu b\u1ea1n \u0111\u0103ng nh\u1eadp th\u00e0nh c\u00f4ng s\u1ebd c\u00f3 1 d\u00f2ng th\u00f4ng b\u00e1o:<br \/>\n&#8221; Login Succeeded &#8220;<\/li>\n<li>Ti\u1ebfp theo l\u00e0 c\u00e0i m\u00f4i tr\u01b0\u1eddng \u1ea3o v\u00ec TAO Launcher l\u00e0 m\u1ed9t g\u00f3i Python n\u00ean vi\u1ec7c c\u00e0i \u0111\u1eb7t n\u00f3 trong m\u1ed9t m\u00f4i tr\u01b0\u1eddng \u1ea3o s\u1ebd tr\u00e1nh b\u1ecb xung \u0111\u1ed9t v\u1edbi th\u01b0 vi\u1ec7n c\u1ee7a h\u1ec7 th\u1ed1ng.<br \/>\nC\u00e0i \u0111\u1eb7t Python, pip, v\u00e0 venv (n\u1ebfu b\u1ea1n ch\u01b0a c\u00e0i m\u00f4i tr\u01b0\u1eddng \u1ea3o bao gi\u1edd)<\/p>\n<pre class=\"code\">sudo apt update\r\nsudo apt install -y python3 python3-pip python3-venv<\/pre>\n<p>Sau khi c\u00e0i \u0111\u1eb7t xong, b\u1ea1n c\u00f3 th\u1ec3 t\u1ea1o th\u01b0 m\u1ee5c \u0111\u1ec3 l\u01b0u ho\u1eb7c c\u1ee9 \u0111\u1ec3 ngo\u00e0i th\u01b0 m\u1ee5c g\u1ed1c t\u00f9y b\u1ea1n nh\u01b0ng m\u00ecnh khuy\u00ean l\u00e0 n\u00ean t\u1ea1o th\u01b0 m\u1ee5c \u0111\u1ec3 d\u1ec5 qu\u1ea3n l\u00fd h\u01a1n. N\u1ebfu b\u1ea1n kh\u00f4ng t\u1ea1o th\u01b0 m\u1ee5c c\u00f3 th\u1ec3 b\u1ecf qua b\u01b0\u1edbc n\u00e0y.<\/p>\n<pre class=\"code\">mkdir ~\/tao\r\n#Sau khi t\u1ea1o h\u00e3y di chuy\u1ec3n \u0111\u1ebfn th\u01b0 m\u1ee5c tao \u0111\u1ec3 ti\u1ebfp t\u1ee5c c\u00e0i \u0111\u1eb7t\r\ncd ~\/tao<\/pre>\n<\/li>\n<li>T\u1ea1o m\u00f4i tr\u01b0\u1eddng \u1ea3o\n<pre class=\"code\">#tao_env l\u00e0 t\u00ean m\u00f4i tr\u01b0\u1eddng \u1ea3o c\u1ee7a b\u1ea1n\r\n#B\u1ea1n c\u00f3 th\u1ec3 \u0111\u1eb7t t\u00f9y \u00fd mi\u1ec5n sao b\u1ea1n nh\u1edb n\u00f3 l\u00e0 m\u00f4i tr\u01b0\u1eddng \u1ea3o l\u00e0 \u0111\u01b0\u1ee3c :&gt;\r\npython3 -m venv tao_env<\/pre>\n<p>Sau khi t\u1ea1o xong b\u1ea1n h\u00e3y k\u00edch ho\u1ea1t n\u00f3 b\u1eb1ng l\u1ec7nh:<\/p>\n<pre class=\"code\">source tao_env\/bin\/activate<\/pre>\n<p>* L\u01b0u \u00fd l\u00e0 b\u1ea1n ph\u1ea3i di chuy\u1ec3n \u0111\u1ebfn th\u01b0 m\u1ee5c ch\u1ee9a m\u00f4i tr\u01b0\u1eddng \u1ea3o c\u1ee7a b\u1ea1n \u1edf \u0111\u00e2y m\u00ecnh v\u00ed d\u1ee5 l\u00e0 home\/tao th\u00ec sau l\u1ec7nh n\u00e0y, b\u1ea1n s\u1ebd th\u1ea5y d\u1ea5u nh\u1eafc l\u1ec7nh c\u1ee7a b\u1ea1n thay \u0111\u1ed5i ki\u1ec3u:<\/p>\n<pre class=\"code\">(tao_env) user@tencuaban:~\/tao$<\/pre>\n<p>Sau khi s\u1eed d\u1ee5ng xong b\u1ea1n mu\u1ed1n ng\u1eaft th\u00ec s\u1eed d\u1ee5ng l\u1ec7nh:<\/p>\n<pre class=\"code\">deactivate<\/pre>\n<\/li>\n<li>C\u00e0i \u0111\u1eb7t TAO Launcher\n<pre class=\"code\">pip install nvidia-tao<\/pre>\n<p>L\u1ec7nh n\u00e0y s\u1ebd c\u00e0i \u0111\u1eb7t TAO Launcher v\u00e0o th\u1eb3ng m\u00f4i tr\u01b0\u1eddng \u1ea3o c\u1ee7a b\u1ea1n<br \/>\nSau khi c\u00e0i xong b\u1ea1n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng l\u1ec7nh d\u01b0\u1edbi \u0111\u00e2y \u0111\u1ec3 ki\u1ec3m tra b\u1ea1n \u0111\u00e3 c\u00e0i \u0111\u1eb7t th\u00e0nh c\u00f4ng hay ch\u01b0a:<\/p>\n<pre class=\"code\">tao --help\r\n#ho\u1eb7c\r\ntao info<\/pre>\n<p>N\u1ebfu khi ch\u1ea1y m\u00e0 tr\u1ea3 v\u1ec1 l\u00e0:<\/p>\n<pre>usage: tao [-h] {list,stop,info,dataset,deploy,model} ...\r\n\r\nLauncher for TAO Toolkit.\r\n\r\noptional arguments:\r\n  -h, --help            show this help message and exit\r\n\r\ntask_groups:\r\n  {list,stop,info,dataset,deploy,model}<\/pre>\n<p>L\u00e0 k\u1ebft qu\u1ea3 c\u1ee7a &#8220;tao &#8211;help&#8221; ho\u1eb7c khi ch\u1ea1y &#8221; tao info &#8221; s\u1ebd l\u00e0:<\/p>\n<pre>Configuration of the TAO Toolkit Instance\r\ntask_group: ['model', 'dataset', 'deploy']\r\nformat_version: 3.0\r\ntoolkit_version: 5.0.0\r\npublished_date: 07\/14\/2023<\/pre>\n<p>N\u1ebfu khi ch\u1ea1y m\u1ed9t trong 2 l\u1ec7nh tr\u00ean m\u00e0 \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 nh\u01b0 th\u1ebf th\u00ec xin ch\u00fac m\u1eebng, b\u1ea1n \u0111\u00e3 c\u00e0i \u0111\u1eb7t th\u00e0nh c\u00f4ng NVIDIA TAO Toolkit!<\/li>\n<\/ol>\n<div>____<br \/><b>B\u00e0i vi\u1ebft li\u00ean quan<\/b><\/div>\n<ul>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23415\">B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n &#8211; so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23322\">NVIDIA RTX PRO 4500 Blackwell Server Edition: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt t\u1eeb th\u1ebf h\u1ec7 L4 cho h\u1ea1 t\u1ea7ng AI suy lu\u1eadn hi\u1ec7u n\u0103ng cao<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23119\">NVIDIA NGC\u2011ready Low\u2011latency Edge AI: Gi\u1ea3i ph\u00e1p cho Retail, Manufacturing v\u00e0 Smart Cities<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23110\">So s\u00e1nh s\u1ee9c m\u1ea1nh c\u1ee7a m\u00e1y t\u00ednh AI DGX Spark v\u1edbi c\u00e1c card GPU m\u00e1y tr\u1ea1m chuy\u00ean nghi\u1ec7p c\u1ee7a NVIDIA<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22969\">T\u1eeb Orin \u0111\u1ebfn Thor: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt ki\u1ebfn tr\u00fac c\u1ee7a NVIDIA JetPack 7.0 v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a robot h\u00ecnh ng\u01b0\u1eddi<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22887\">T\u1ea1i sao g\u1ecdi NVIDIA DGX Spark l\u00e0 Si\u00eau m\u00e1y t\u00ednh AI c\u00e1 nh\u00e2n?<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA TAO Toolkit l&agrave; g&igrave;? NVIDIA TAO Toolkit (Train, Adapt, Optimize) l&agrave; m&#7897;t b&#7897; c&ocirc;ng c&#7909; AI no-code \/ low-code &#273;&#432;&#7907;c ph&aacute;t tri&#7875;n b&#7903;i NVIDIA, &#273;&#432;&#7907;c x&acirc;y d&#7921;ng d&#7921;a tr&ecirc;n n&#7873;n t&#7843;ng TensorFlow v&agrave; PyTorch. M&#7909;c ti&ecirc;u c&#7911;a TAO l&agrave; h&#7895; tr&#7907; &#273;&#417;n gi&#7843;n h&oacute;a v&agrave; t&#259;ng t&#7889;c qu&aacute; tr&igrave;nh hu&#7845;n luy&#7879;n, t&ugrave;y bi&#7871;n v&agrave;&#8230;<\/p>\n","protected":false},"author":26,"featured_media":22208,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[1367,1314],"class_list":["post-22131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tong-hop","tag-aidev","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>H\u01b0\u1edbng d\u1eabn c\u00e0i \u0111\u1eb7t NVIDIA TAO Toolkit cho ng\u01b0\u1eddi m\u1edbi - Blog | TheGioiMayChu<\/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:\/\/thegioimaychu.vn\/blog\/tong-hop\/huong-dan-cai-dat-nvidia-tao-toolkit-cho-nguoi-moi-p22131\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"H\u01b0\u1edbng d\u1eabn c\u00e0i \u0111\u1eb7t NVIDIA TAO Toolkit cho ng\u01b0\u1eddi m\u1edbi - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"NVIDIA TAO Toolkit l&agrave; g&igrave;? NVIDIA TAO Toolkit (Train, Adapt, Optimize) l&agrave; m&#7897;t b&#7897; c&ocirc;ng c&#7909; AI no-code \/ low-code &#273;&#432;&#7907;c ph&aacute;t tri&#7875;n b&#7903;i NVIDIA, &#273;&#432;&#7907;c x&acirc;y d&#7921;ng d&#7921;a tr&ecirc;n n&#7873;n t&#7843;ng TensorFlow v&agrave; PyTorch. 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