{"id":15988,"date":"2023-05-29T15:14:50","date_gmt":"2023-05-29T08:14:50","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=15988"},"modified":"2025-08-04T09:12:58","modified_gmt":"2025-08-04T02:12:58","slug":"nvidia-mgx-kien-truc-dien-toan-tang-toc-module-hoa-danh-cho-cac-nha-san-xuat-may-chu","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nvidia-mgx-kien-truc-dien-toan-tang-toc-module-hoa-danh-cho-cac-nha-san-xuat-may-chu-p15988\/","title":{"rendered":"NVIDIA MGX &#8211; Ki\u1ebfn \u200b\u200btr\u00fac \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c module h\u00f3a d\u00e0nh cho c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t m\u00e1y ch\u1ee7"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><h3>NVIDIA MGX l\u00e0 g\u00ec?<\/h3>\n<p>NVIDIA MGX l\u00e0 m\u1ed9t ki\u1ebfn tr\u00fac m\u00e1y ch\u1ee7 m\u00f4-\u0111un (modular server architecture) \u0111\u01b0\u1ee3c NVIDIA t\u1ea1o ra \u0111\u1ec3 gi\u00fap c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t h\u1ec7 th\u1ed1ng x\u00e2y d\u1ef1ng c\u00e1c m\u00e1y ch\u1ee7 hi\u1ec7u su\u1ea5t cao cho <a class=\"iblink\" href=\"\/blog\/tag\/ai\/\">tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/a> (AI), \u0111i\u1ec7n to\u00e1n hi\u1ec7u n\u0103ng cao (HPC) v\u00e0 c\u00e1c t\u00e1c v\u1ee5 \u0111\u00e1m m\u00e2y m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 ti\u1ebft ki\u1ec7m chi ph\u00ed.<\/p>\n<p>Thay v\u00ec ph\u1ea3i thi\u1ebft k\u1ebf m\u1ed9t m\u00e1y ch\u1ee7 t\u1eeb \u0111\u1ea7u cho m\u1ed7i nhu c\u1ea7u c\u1ee5 th\u1ec3, <b>MGX cung c\u1ea5p m\u1ed9t b\u1ed9 khung v\u00e0 c\u00e1c th\u00e0nh ph\u1ea7n c\u1ed1t l\u00f5i \u0111\u00e3 \u0111\u01b0\u1ee3c ti\u00eau chu\u1ea9n h\u00f3a<\/b>. C\u00e1c \u0111\u1ed1i t\u00e1c c\u1ee7a NVIDIA c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng nh\u1eefng &#8220;kh\u1ed1i x\u00e2y d\u1ef1ng&#8221; n\u00e0y v\u00e0 t\u00f9y ch\u1ec9nh ch\u00fang b\u1eb1ng c\u00e1ch k\u1ebft h\u1ee3p c\u00e1c lo\u1ea1i CPU, GPU v\u00e0 DPU kh\u00e1c nhau \u0111\u1ec3 t\u1ea1o ra c\u00e1c c\u1ea5u h\u00ecnh m\u00e1y ch\u1ee7 \u0111a d\u1ea1ng, ph\u00f9 h\u1ee3p v\u1edbi t\u1eebng kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c ri\u00eang bi\u1ec7t.<\/p>\n<h3>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m n\u1ed5i b\u1eadt c\u1ee7a n\u1ec1n t\u1ea3ng NVIDIA MGX<\/h3>\n<ul>\n<li><b>Thi\u1ebft k\u1ebf m\u00f4-\u0111un:<\/b> \u0110\u00e2y l\u00e0 \u0111i\u1ec3m m\u1ea5u ch\u1ed1t c\u1ee7a MGX. N\u00f3 cho ph\u00e9p c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t m\u00e1y ch\u1ee7 t\u00e1i s\u1eed d\u1ee5ng thi\u1ebft k\u1ebf khung m\u00e1y c\u01a1 b\u1ea3n v\u00e0 ch\u1ec9 thay \u0111\u1ed5i c\u00e1c th\u00e0nh ph\u1ea7n b\u00ean trong. \u0110i\u1ec1u n\u00e0y gi\u00fap gi\u1ea3m \u0111\u00e1ng k\u1ec3 th\u1eddi gian v\u00e0 chi ph\u00ed ph\u00e1t tri\u1ec3n.<\/li>\n<li><b>T\u0103ng t\u1ed1c th\u1eddi gian \u0111\u01b0a s\u1ea3n ph\u1ea9m ra th\u1ecb tr\u01b0\u1eddng:<\/b> Nh\u1edd v\u00e0o ki\u1ebfn tr\u00fac tham chi\u1ebfu \u0111\u00e3 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a, c\u00e1c \u0111\u1ed1i t\u00e1c c\u00f3 th\u1ec3 r\u00fat ng\u1eafn th\u1eddi gian thi\u1ebft k\u1ebf v\u00e0 ki\u1ec3m th\u1eed, t\u1eeb \u0111\u00f3 nhanh ch\u00f3ng gi\u1edbi thi\u1ec7u c\u00e1c m\u00e1y ch\u1ee7 m\u1edbi ra th\u1ecb tr\u01b0\u1eddng.<\/li>\n<li><b>T\u00ednh linh ho\u1ea1t cao:<\/b> MGX h\u1ed7 tr\u1ee3 nhi\u1ec1u lo\u1ea1i ph\u1ea7n c\u1ee9ng, bao g\u1ed3m:\n<ul>\n<li><b>CPU:<\/b> C\u00e1c CPU Grace c\u1ee7a NVIDIA ho\u1eb7c c\u00e1c CPU x86 t\u1eeb Intel v\u00e0 AMD.<\/li>\n<li><b>GPU:<\/b> To\u00e0n b\u1ed9 danh m\u1ee5c GPU c\u1ee7a NVIDIA, t\u1eeb c\u00e1c d\u00f2ng H100 m\u1ea1nh m\u1ebd cho AI \u0111\u1ebfn c\u00e1c GPU chuy\u00ean d\u1ee5ng kh\u00e1c.<\/li>\n<li><b>DPU:<\/b> C\u00e1c b\u1ed9 x\u1eed l\u00fd d\u1eef li\u1ec7u <a class=\"iblink\" href=\"\/blog\/tag\/bluefield\/\">BlueField<\/a> c\u1ee7a NVIDIA \u0111\u1ec3 t\u0103ng t\u1ed1c m\u1ea1ng v\u00e0 b\u1ea3o m\u1eadt.<\/li>\n<li><b>Khung m\u00e1y:<\/b> C\u00e1c k\u00edch th\u01b0\u1edbc ti\u00eau chu\u1ea9n 1U, 2U, 4U v\u1edbi t\u00f9y ch\u1ecdn l\u00e0m m\u00e1t b\u1eb1ng kh\u00ed ho\u1eb7c ch\u1ea5t l\u1ecfng.<\/li>\n<\/ul>\n<\/li>\n<li><b>T\u01b0\u01a1ng th\u00edch \u0111a th\u1ebf h\u1ec7:<\/b> M\u1ed9t l\u1ee3i th\u1ebf l\u1edbn c\u1ee7a MGX l\u00e0 kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch v\u1edbi c\u00e1c th\u1ebf h\u1ec7 ph\u1ea7n c\u1ee9ng NVIDIA hi\u1ec7n t\u1ea1i v\u00e0 t\u01b0\u01a1ng lai. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t v\u00e0 kh\u00e1ch h\u00e0ng d\u1ec5 d\u00e0ng n\u00e2ng c\u1ea5p h\u1ec7 th\u1ed1ng m\u00e0 kh\u00f4ng c\u1ea7n ph\u1ea3i thay \u0111\u1ed5i to\u00e0n b\u1ed9 c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng.<\/li>\n<li><b>H\u1ed7 tr\u1ee3 ph\u1ea7n m\u1ec1m to\u00e0n di\u1ec7n:<\/b> C\u00e1c m\u00e1y ch\u1ee7 d\u1ef1a tr\u00ean MGX \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p \u0111\u1ea7y \u0111\u1ee7 v\u1edbi h\u1ec7 sinh th\u00e1i ph\u1ea7n m\u1ec1m c\u1ee7a NVIDIA, bao g\u1ed3m <b><a class=\"iblink\" href=\"\/solution\/infra\/ai\/bo-giai-phap-trien-khai-ai-cap-doanh-nghiep-nvidia-ai-enterprise-p4126\/\">NVIDIA AI Enterprise<\/a><\/b> v\u00e0 c\u00e1c b\u1ed9 c\u00f4ng c\u1ee5 ph\u00e1t tri\u1ec3n kh\u00e1c, gi\u00fap c\u00e1c doanh nghi\u1ec7p d\u1ec5 d\u00e0ng tri\u1ec3n khai c\u00e1c \u1ee9ng d\u1ee5ng AI v\u00e0 HPC.<\/li>\n<\/ul>\n<h3>Nh\u1eefng h\u00e3ng n\u00e0o cung c\u1ea5p m\u00e1y ch\u1ee7 d\u1ef1a tr\u00ean n\u1ec1n t\u1ea3ng NVIDIA MGX?<\/h3>\n<p>QCT v\u00e0 <a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a> l\u00e0 m\u1ed9t trong s\u1ed1 nh\u1eefng h\u00e3ng \u0111\u1ea7u ti\u00ean s\u1eed d\u1ee5ng \u0111\u1eb7c t\u1ea3 k\u1ef9 thu\u1eadt m\u00e1y ch\u1ee7 NVIDIA MGX, cho ph\u00e9p h\u01a1n 100 c\u1ea5u h\u00ecnh h\u1ec7 th\u1ed1ng chuy\u00ean d\u1ee5ng cho vi\u1ec7c t\u0103ng t\u1ed1c c\u00e1c t\u1ea3i x\u1eed l\u00fd AI, HPC v\u00e0 Omniverse.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/05\/tgmc-blog-647467f1876a8.png\" alt=\"\" \/><\/p>\n<p>\u0110\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c \u0111a d\u1ea1ng c\u1ee7a c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u tr\u00ean th\u1ebf gi\u1edbi, NVIDIA \u0111\u00e3 c\u00f4ng b\u1ed1 b\u1ea3ng \u0111\u1eb7c t\u1ea3 k\u1ef9 thu\u1eadt c\u1ee7a n\u1ec1n t\u1ea3ng m\u00e1y ch\u1ee7 NVIDIA MGX t\u1eeb s\u1ef1 ki\u1ec7n COMPUTEX n\u0103m 2023, cung c\u1ea5p cho c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t h\u1ec7 th\u1ed1ng m\u1ed9t ki\u1ebfn \u200b\u200btr\u00fac tham chi\u1ebfu module h\u00f3a \u0111\u1ec3 x\u00e2y d\u1ef1ng h\u01a1n 100 bi\u1ebfn th\u1ec3 m\u00e1y ch\u1ee7 t\u0103ng t\u1ed1c m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 ti\u1ebft ki\u1ec7m chi ph\u00ed, ph\u00f9 h\u1ee3p v\u1edbi d\u1ea3i nhu c\u1ea7u \u0111a d\u1ea1ng c\u1ee7a AI, \u0111i\u1ec7n to\u00e1n hi\u1ec7u n\u0103ng cao (HPC) v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng Omniverse.<\/p>\n<p><strong><a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a>, ASRock Rack, MSI<\/strong>, <strong><a class=\"iblink\" href=\"\/asus\/\">ASUS<\/a><\/strong>, <strong>GIGABYTE<\/strong>\u00a0\u0111\u00e3 khai th\u00e1c n\u1ec1n t\u1ea3ng MGX n\u00e0y \u0111\u1ec3 c\u00f3 th\u1ec3 c\u1eaft gi\u1ea3m t\u1edbi 3\/4 chi ph\u00ed ph\u00e1t tri\u1ec3n v\u00e0 gi\u1ea3m 2\/3 th\u1eddi gian ph\u00e1t tri\u1ec3n xu\u1ed1ng ch\u1ec9 c\u00f2n 6 th\u00e1ng.<\/p>\n<p>V\u1edbi MGX, c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u v\u1edbi ki\u1ebfn \u200b\u200btr\u00fac h\u1ec7 th\u1ed1ng c\u01a1 b\u1ea3n \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a \u0111\u1ec3 t\u0103ng t\u1ed1c \u0111i\u1ec7n to\u00e1n cho b\u1ed9 khung m\u00e1y ch\u1ee7 c\u1ee7a h\u1ecd, sau \u0111\u00f3 ch\u1ecdn GPU, DPU v\u00e0 CPU.\u00a0C\u00e1c bi\u1ebfn th\u1ec3 thi\u1ebft k\u1ebf c\u00f3 th\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c \u0111\u1eb7c th\u00f9, ch\u1eb3ng h\u1ea1n nh\u01b0 HPC, khoa h\u1ecdc d\u1eef li\u1ec7u, m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn, \u0111i\u1ec7n to\u00e1n bi\u00ean, \u0111\u1ed3 h\u1ecda v\u00e0 video, <a class=\"iblink\" href=\"\/blog\/tag\/ai\/\">tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/a> doanh nghi\u1ec7p c\u0169ng nh\u01b0 thi\u1ebft k\u1ebf v\u00e0 m\u00f4 ph\u1ecfng.\u00a0Nhi\u1ec1u t\u00e1c v\u1ee5 nh\u01b0 \u0111\u00e0o t\u1ea1o AI v\u00e0 5G c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c x\u1eed l\u00fd tr\u00ean m\u1ed9t m\u00e1y duy nh\u1ea5t, trong khi vi\u1ec7c n\u00e2ng c\u1ea5p l\u00ean c\u00e1c th\u1ebf h\u1ec7 ph\u1ea7n c\u1ee9ng trong t\u01b0\u01a1ng lai c\u00f3 th\u1ec3 di\u1ec5n ra su\u00f4n s\u1ebb.\u00a0MGX c\u0169ng c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng t\u00edch h\u1ee3p v\u00e0o c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u doanh nghi\u1ec7p v\u00e0 \u0111\u00e1m m\u00e2y.<\/p>\n<h3>H\u1ee3p t\u00e1c v\u1edbi c\u00e1c c\u00f4ng ty d\u1eabn \u0111\u1ea7u trong ng\u00e0nh<\/h3>\n<p>QCT v\u00e0 Supermicro s\u1ebd l\u00e0 nh\u1eefng n\u01a1i \u0111\u1ea7u ti\u00ean \u0111\u01b0a ra th\u1ecb tr\u01b0\u1eddng c\u00e1c s\u1ea3n ph\u1ea9m d\u1ef1a tr\u00ean MGX. Ch\u1eb3ng h\u1ea1ng nh\u01b0 h\u1ec7 th\u1ed1ng ARS-221GL-NR c\u1ee7a Supermicro bao g\u1ed3m CPU NVIDIA Grace Superchip, trong khi h\u1ec7 th\u1ed1ng S74G-2U c\u1ee7a QCT s\u1eed d\u1ee5ng NVIDIA GH200 Grace\u00a0Hopper Superchip.<\/p>\n<p>Ngo\u00e0i ra, SoftBank Corp. c\u00f3 k\u1ebf ho\u1ea1ch tri\u1ec3n khai nhi\u1ec1u trung t\u00e2m d\u1eef li\u1ec7u hyperscale tr\u00ean kh\u1eafp Nh\u1eadt B\u1ea3n v\u00e0 s\u1eed d\u1ee5ng MGX \u0111\u1ec3 ph\u00e2n b\u1ed5 \u0111\u1ed9ng t\u00e0i nguy\u00ean GPU gi\u1eefa c\u00e1c \u1ee9ng d\u1ee5ng Generative AI v\u00e0 5G.<\/p>\n<p>Junichi Miyakawa, Ch\u1ee7 t\u1ecbch ki\u00eam Gi\u00e1m \u0111\u1ed1c \u0111i\u1ec1u h\u00e0nh c\u1ee7a SoftBank Corp cho bi\u1ebft: \u201cKhi tr\u00ed Generative AI t\u1ecfa kh\u1eafp c\u1ed9ng \u0111\u1ed3ng doanh nghi\u1ec7p v\u00e0 ng\u01b0\u1eddi ti\u00eau d\u00f9ng, vi\u1ec7c x\u00e2y d\u1ef1ng h\u1ea1 t\u1ea7ng ph\u00f9 h\u1ee3p v\u1edbi chi ph\u00ed h\u1ee3p l\u00fd l\u00e0 m\u1ed9t trong nh\u1eefng th\u00e1ch th\u1ee9c l\u1edbn nh\u1ea5t c\u1ee7a c\u00e1c nh\u00e0 khai th\u00e1c m\u1ea1ng. N\u00f3 cho ph\u00e9p tri\u1ec3n khai AI \u0111a\u00a0 m\u1ee5c \u0111\u00edch, 5G, v.v. t\u00f9y thu\u1ed9c v\u00e0o y\u00eau c\u1ea7u c\u1ee7a t\u1ea3i x\u1eed l\u00fd theo th\u1eddi gian th\u1ef1c.\u201d<\/p>\n<h3>C\u00e1c thi\u1ebft k\u1ebf kh\u00e1c nhau cho c\u00e1c nhu c\u1ea7u kh\u00e1c nhau<\/h3>\n<p>C\u00e1c trung t\u00e2m d\u1eef li\u1ec7u ng\u00e0y c\u00e0ng c\u1ea7n \u0111\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u v\u1ec1 c\u1ea3 kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n ng\u00e0y c\u00e0ng t\u0103ng v\u00e0 gi\u1ea3m l\u01b0\u1ee3ng kh\u00ed th\u1ea3i carbon \u0111\u1ec3 ch\u1ed1ng bi\u1ebfn \u0111\u1ed5i kh\u00ed h\u1eadu, \u0111\u1ed3ng th\u1eddi c\u1eaft gi\u1ea3m chi ph\u00ed.<\/p>\n<p>C\u00e1c m\u00e1y ch\u1ee7 \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c c\u1ee7a NVIDIA t\u1eeb l\u00e2u \u0111\u00e3 cung c\u1ea5p hi\u1ec7u su\u1ea5t \u0111i\u1ec7n to\u00e1n v\u00e0 hi\u1ec7u su\u1ea5t n\u0103ng l\u01b0\u1ee3ng v\u01b0\u1ee3t tr\u1ed9i.\u00a0Gi\u1edd \u0111\u00e2y, thi\u1ebft k\u1ebf module h\u00f3a c\u1ee7a MGX mang \u0111\u1ebfn cho c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t h\u1ec7 th\u1ed1ng kh\u1ea3 n\u0103ng \u0111\u00e1p \u1ee9ng hi\u1ec7u qu\u1ea3 h\u01a1n c\u00e1c y\u00eau c\u1ea7u v\u1ec1 ng\u00e2n s\u00e1ch, cung c\u1ea5p \u0111i\u1ec7n, thi\u1ebft k\u1ebf nhi\u1ec7t v\u00e0 c\u01a1 h\u1ecdc ri\u00eang c\u1ee7a t\u1eebng kh\u00e1ch h\u00e0ng.<\/p>\n<h3>Nhi\u1ec1u form factor mang l\u1ea1i t\u00ednh linh ho\u1ea1t t\u1ed1i \u0111a<\/h3>\n<p>MGX ho\u1ea1t \u0111\u1ed9ng v\u1edbi c\u00e1c form factor kh\u00e1c nhau v\u00e0 t\u01b0\u01a1ng th\u00edch v\u1edbi c\u00e1c th\u1ebf h\u1ec7 ph\u1ea7n c\u1ee9ng NVIDIA hi\u1ec7n t\u1ea1i v\u00e0 t\u01b0\u01a1ng lai, bao g\u1ed3m:<\/p>\n<ul>\n<li>Chassis: 1U, 2U, 4U (l\u00e0m m\u00e1t b\u1eb1ng kh\u00f4ng kh\u00ed ho\u1eb7c ch\u1ea5t l\u1ecfng)<\/li>\n<li>GPU: Danh m\u1ee5c GPU NVIDIA \u0111\u1ea7y \u0111\u1ee7 bao g\u1ed3m H100, L40, L4 m\u1edbi nh\u1ea5t<\/li>\n<li>CPU: NVIDIA Grace CPU Superchip, GH200 Grace Hopper Superchip, CPU x86<\/li>\n<li>K\u1ebft n\u1ed1i m\u1ea1ng: B\u1ed9 \u0111i\u1ec1u h\u1ee3p m\u1ea1ng NVIDIA BlueField-3 DPU, ConnectX-7<\/li>\n<\/ul>\n<p>MGX kh\u00e1c v\u1edbi\u00a0NVIDIA HGX \u1edf ch\u1ed7, n\u00f3 cung c\u1ea5p kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch linh ho\u1ea1t, h\u1ed7 tr\u1ee3 \u0111a th\u1ebf h\u1ec7 v\u1edbi c\u00e1c s\u1ea3n ph\u1ea9m c\u1ee7a NVIDIA \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng l\u1ea1i c\u00e1c thi\u1ebft k\u1ebf hi\u1ec7n c\u00f3 v\u00e0 d\u1ec5 d\u00e0ng \u00e1p d\u1ee5ng c\u00e1c s\u1ea3n ph\u1ea9m th\u1ebf h\u1ec7 ti\u1ebfp theo m\u00e0 kh\u00f4ng c\u1ea7n thi\u1ebft k\u1ebf l\u1ea1i m\u1ed9t c\u00e1ch t\u1ed1n k\u00e9m.\u00a0Ng\u01b0\u1ee3c l\u1ea1i, HGX d\u1ef1a tr\u00ean bo m\u1ea1ch ch\u1ee7 multi-GPU, \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i v\u1edbi NVLink v\u00e0 \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh theo quy m\u00f4 \u0111\u1ec3 t\u1ea1o ra h\u1ec7 th\u1ed1ng AI v\u00e0 HPC t\u1ed1i \u01b0u.<\/p>\n<h3>H\u1ed7 tr\u1ee3 \u0111\u1ea7y \u0111\u1ee7 v\u1edbi ph\u1ea7n m\u1ec1m c\u1ee7a NVIDIA<\/h3>\n<p>Ngo\u00e0i ph\u1ea7n c\u1ee9ng, MGX \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi c\u00e1c software stack \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a NVIDIA, cho ph\u00e9p c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n v\u00e0 doanh nghi\u1ec7p x\u00e2y d\u1ef1ng v\u00e0 t\u0103ng t\u1ed1c AI, HPC v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c.\u00a0Ch\u00fang bao g\u1ed3m\u00a0<a class=\"iblink\" href=\"\/solution\/infra\/ai\/bo-giai-phap-trien-khai-ai-cap-doanh-nghiep-nvidia-ai-enterprise-p4126\/\">NVIDIA AI Enterprise<\/a>, NVIDIA AI platform software layer, c\u00f3 h\u01a1n 100 framework v\u00e0 model \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc (pre-trained) v\u00e0 c\u00f4ng c\u1ee5 ph\u00e1t tri\u1ec3n \u0111\u1ec3 t\u0103ng t\u1ed1c AI, khoa h\u1ecdc d\u1eef li\u1ec7u nh\u1eb1m ph\u00e1t tri\u1ec3n v\u00e0 tri\u1ec3n khai AI c\u1ea5p doanh nghi\u1ec7p, \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 \u0111\u1ea7y \u0111\u1ee7.<\/p>\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 MGX l&agrave; g&igrave;? NVIDIA MGX l&agrave; m&#7897;t ki&#7871;n tr&uacute;c m&aacute;y ch&#7911; m&ocirc;-&#273;un (modular server architecture) &#273;&#432;&#7907;c NVIDIA t&#7841;o ra &#273;&#7875; gi&uacute;p c&aacute;c nh&agrave; s&#7843;n xu&#7845;t h&#7879; th&#7889;ng x&acirc;y d&#7921;ng c&aacute;c m&aacute;y ch&#7911; hi&#7879;u su&#7845;t cao cho tr&iacute; tu&#7879; nh&acirc;n t&#7841;o (AI), &#273;i&#7879;n to&aacute;n hi&#7879;u n&#259;ng cao (HPC) v&agrave; c&aacute;c t&aacute;c v&#7909; &#273;&aacute;m m&acirc;y m&#7897;t&#8230;<\/p>\n","protected":false},"author":2,"featured_media":15992,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,1],"tags":[822,1314],"class_list":["post-15988","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-tong-hop","tag-computex","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA MGX - Ki\u1ebfn \u200b\u200btr\u00fac \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c module h\u00f3a d\u00e0nh cho c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t m\u00e1y ch\u1ee7 - 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\/ai-hpc\/nvidia-mgx-kien-truc-dien-toan-tang-toc-module-hoa-danh-cho-cac-nha-san-xuat-may-chu-p15988\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"NVIDIA MGX - Ki\u1ebfn \u200b\u200btr\u00fac \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c module h\u00f3a d\u00e0nh cho c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t m\u00e1y ch\u1ee7 - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"NVIDIA MGX l&agrave; g&igrave;? NVIDIA MGX l&agrave; m&#7897;t ki&#7871;n tr&uacute;c m&aacute;y ch&#7911; m&ocirc;-&#273;un (modular server architecture) &#273;&#432;&#7907;c NVIDIA t&#7841;o ra &#273;&#7875; gi&uacute;p c&aacute;c nh&agrave; s&#7843;n xu&#7845;t h&#7879; th&#7889;ng x&acirc;y d&#7921;ng c&aacute;c m&aacute;y ch&#7911; hi&#7879;u su&#7845;t cao cho tr&iacute; tu&#7879; nh&acirc;n t&#7841;o (AI), &#273;i&#7879;n to&aacute;n hi&#7879;u n&#259;ng cao (HPC) v&agrave; c&aacute;c t&aacute;c v&#7909; &#273;&aacute;m m&acirc;y m&#7897;t...\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/05\/TheGioiMayChu-Blog-NVIDIA-MGX.jpg\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Vanito Hoang\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nvidia-mgx-kien-truc-dien-toan-tang-toc-module-hoa-danh-cho-cac-nha-san-xuat-may-chu-p15988\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nvidia-mgx-kien-truc-dien-toan-tang-toc-module-hoa-danh-cho-cac-nha-san-xuat-may-chu-p15988\\\/\"},\"author\":{\"name\":\"Vanito Hoang\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/#\\\/schema\\\/person\\\/feccec179330cfebfaa805639a357d18\"},\"headline\":\"NVIDIA MGX &#8211; 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