{"id":971,"date":"2019-01-05T04:00:34","date_gmt":"2019-01-05T04:00:34","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=971"},"modified":"2019-01-09T07:02:39","modified_gmt":"2019-01-09T07:02:39","slug":"tren-tay-he-thong-nvidia-dgx-2-con-khung-long-bao-chua-cua-lang-ai","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/product\/tren-tay-he-thong-nvidia-dgx-2-con-khung-long-bao-chua-cua-lang-ai-p971\/","title":{"rendered":"&#8220;Tr\u00ean tay&#8221; h\u1ec7 th\u1ed1ng Nvidia DGX-2: Con kh\u1ee7ng long b\u1ea1o ch\u00faa c\u1ee7a l\u00e0ng AI!"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>V\u1edbi 400.000 USD, b\u1ea1n c\u00f3 th\u1ec3 nh\u1eadn \u0111\u01b0\u1ee3c kho\u1ea3ng 400 chi\u1ebfc iPhone X, 300 chi\u1ebfc laptop Surface Pro ho\u1eb7c 11 chi\u1ebfc \u00f4 t\u00f4 \u0111i\u1ec7n Tesla Series 3. Nh\u01b0ng b\u1ea1n ph\u1ea3i m\u1ea5t t\u1ed1i thi\u1ec3u 400.000 USD \u0111\u00f3 (t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u1edbi 9,2 t\u1ef7 VN\u0110) \u0111\u1ec3 ch\u1ec9 c\u00f3 \u0111\u01b0\u1ee3c m\u1ed9t chi\u1ebfc m\u00e1y ch\u1ee7 AI Nvidia DGX-2, \u0111\u01b0\u1ee3c coi l\u00e0 &#8220;h\u1ec7 th\u1ed1ng AI m\u1ea1nh nh\u1ea5t th\u1ebf gi\u1edbi cho nh\u1eefng th\u00e1ch th\u1ee9c v\u1ec1 AI ph\u1ee9c t\u1ea1p nh\u1ea5t&#8221;.<\/p>\n<p>Nh\u01b0ng <a href=\"https:\/\/thegioimaychu.vn\/may-chu-tri-tue-nhan-tao-nvidia-dgx-2-tm6322.html?utm_source=tmblog\">DGX-2<\/a> c\u00f3 \u0111\u00e1p \u1ee9ng \u0111\u01b0\u1ee3c y\u00eau c\u1ea7u \u0111\u00f3 kh\u00f4ng &#8211; v\u00e0 c\u00f3 m\u00e1y ch\u1ee7 n\u00e0o th\u1ef1c s\u1ef1 \u0111\u00e1ng gi\u00e1 nh\u01b0 v\u1eady kh\u00f4ng?<\/p>\n<h2><strong>Ti\u1ebfp t\u1ee5c v\u1edbi DGX<\/strong><\/h2>\n<p>\u0110\u1ec3 tr\u1ea3 l\u1eddi nh\u1eefng c\u00e2u h\u1ecfi \u0111\u00f3, tr\u01b0\u1edbc ti\u00ean b\u1ea1n ph\u1ea3i hi\u1ec3u r\u1eb1ng DGX-2 kh\u00f4ng ph\u1ea3i l\u00e0 m\u00e1y ch\u1ee7 Nvidia \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c nh\u1eafm m\u1ee5c ti\u00eau v\u00e0o AI. Vinh d\u1ef1 \u0111\u00f3 thu\u1ed9c v\u1ec1 <a href=\"https:\/\/thegioimaychu.vn\/may-chu-tri-tue-nhan-tao-nvidia-dgx-1-tm6321.html?utm_source=tmblog\">DGX-1<\/a>, d\u1ef1a tr\u00ean s\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a b\u1ed9 x\u1eed l\u00fd Intel Xeon v\u00e0 GPU ki\u1ebfn tr\u00fac Tesla V100 Volta, \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho AI c\u1ee7a Nvidia. DGX-2 ti\u1ebfp t\u1ee5c c\u00e1ch ti\u1ebfp c\u1eadn \u0111\u00f3, nh\u01b0ng thay v\u00ec t\u00e1m b\u1ed9\u00a0 Tesla V100 \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i b\u1eb1ng bus d\u1eef li\u1ec7u NVLink c\u1ee7a Nvidia, DGX-2 \u0111i k\u00e8m v\u1edbi 16 GPU m\u1ea1nh m\u1ebd n\u00e0y \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i b\u1eb1ng c\u00f4ng ngh\u1ec7 NVswitch c\u00f3 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng t\u1ed1t h\u01a1n. Theo Nvidia, thi\u1ebft l\u1eadp n\u00e0y cho ph\u00e9p DGX-2 x\u1eed l\u00fd <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">deep learning<\/a> (h\u1ecdc s\u00e2u) v\u00e0 c\u00e1c workload AI hay HPC \u0111\u00f2i h\u1ecfi nhanh h\u01a1n g\u1ea5p 10 l\u1ea7n so v\u1edbi ng\u01b0\u1eddi anh em nh\u1ecf h\u01a1n c\u1ee7a n\u00f3.<\/p>\n<p>M\u1eb7c d\u00f9 n\u00f3 \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 c\u00f9ng l\u00fac v\u1edbi DGX-1, nh\u01b0ng ph\u1ea3i m\u1ea5t th\u00eam h\u01a1n s\u00e1u th\u00e1ng sau \u0111\u00f3 \u0111\u1ec3 c\u00f3 th\u1ec3 ra m\u1eaft. M\u1ed9t trong nh\u1eefng n\u01a1i \u0111\u1ea7u ti\u00ean \u1edf V\u01b0\u01a1ng qu\u1ed1c Anh \u0111\u00e3 \u0111\u01b0\u1ee3c c\u00e0i \u0111\u1eb7t n\u00f3 l\u00e0 trong ph\u00f2ng th\u00ed nghi\u1ec7m c\u1ee7a m\u1ed9t \u0111\u1ed1i t\u00e1c c\u1ee7a Nvidia, Boston Limited. H\u1ecd h\u1ecfi ch\u00fang t\u00f4i c\u00f3 mu\u1ed1n xem qua n\u00f3: ch\u00fang t\u00f4i \u0111\u00e3 l\u00e0m m\u1ed9t chuy\u1ebfn, v\u00e0 \u0111\u00e2y l\u00e0 nh\u1eefng g\u00ec ch\u00fang t\u00f4i quan s\u00e1t \u0111\u01b0\u1ee3c.<\/p>\r\n\t\t\t\t<div class=\"tgmcad hor\" style=\"text-align:center;margin:30px 0; padding: 10px 0; border-radius:5px; border-top:solid 1px #ccc; border-bottom:solid 1px #ccc; \">\r\n\t\t\t\t<a href=\"https:\/\/thegioimaychu.vn\/giai-phap\/deep-learning\/\"><img decoding=\"async\" alt=\"Gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng Deep Learning, Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o - AI\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2019\/11\/tgmc-deep-learning.jpg\" \/><\/a>\r\n\t\t\t\t<\/div>\n<div class=\"row\" style=\"margin: 20px 0;\">\n<div class=\"col-lg-6 col-sm-12\">\n<div class=\"image\"><a class=\"img\" href=\"https:\/\/thegioimaychu.vn\/may-chu-tri-tue-nhan-tao-nvidia-dgx-2-tm6322.html?utm_source=tmblog\"><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/thegioimaychu.vn\/image\/cache\/catalog\/product\/dgx-system\/nvidia-dgx-2-270x203.jpg\" alt=\"M\u00e1y ch\u1ee7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o NVidia DGX-2\" \/><\/a><\/div>\n<div class=\"product-meta\">\n<div class=\"warp-info\">\n<p class=\"name\"><a href=\"https:\/\/thegioimaychu.vn\/may-chu-tri-tue-nhan-tao-nvidia-dgx-2-tm6322.html?utm_source=tmblog\">M\u00e1y ch\u1ee7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o NVidia DGX-2<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"col-lg-6 col-sm-12\">\n<div class=\"image\"><a class=\"img\" href=\"https:\/\/thegioimaychu.vn\/may-chu-tri-tue-nhan-tao-nvidia-dgx-1-tm6321.html?utm_source=tmblog\"><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/thegioimaychu.vn\/image\/cache\/catalog\/product\/dgx-system\/nvidia-dgx-1-270x203.jpg\" alt=\"M\u00e1y ch\u1ee7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o NVidia DGX-1\" \/><\/a><\/div>\n<div class=\"product-meta\">\n<div class=\"warp-info\">\n<p class=\"name\"><a href=\"https:\/\/thegioimaychu.vn\/may-chu-tri-tue-nhan-tao-nvidia-dgx-1-tm6321.html?utm_source=tmblog\">M\u00e1y ch\u1ee7 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o NVidia DGX-1<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2><strong>&#8220;\u0110\u1eadp h\u1ed9p&#8221; DGX-2<\/strong><\/h2>\n<figure>\n<figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-bezel-removed.jpg\" alt=\"B\u00ean trong Nvidia DGX-2\" width=\"770\" height=\"565\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-bezel-removed.jpg\" \/><figcaption class=\"wp-caption-text\">H\u1ec7 th\u1ed1ng DGX-2 c\u00f3 k\u00edch th\u01b0\u1edbc kh\u00e1 l\u1edbn v\u00e0 \u0111\u01b0\u1ee3c \u1ea9n sau t\u1ea5m panel m\u1ea1 sang tr\u1ecdng.<\/figcaption><\/figure>\n<p>C\u0169ng nh\u01b0 hi\u1ec7u su\u1ea5t, k\u00edch th\u01b0\u1edbc l\u00e0 m\u1ed9t \u0111i\u1ec3m kh\u00e1c bi\u1ec7t l\u1edbn v\u1edbi DGX-2, c\u00f3 vi\u1ec1n v\u00e0ng ho\u00e0n thi\u1ec7n gi\u1ed1ng nh\u01b0 DGX-1 nh\u01b0ng l\u1edbn h\u01a1n r\u1ea5t nhi\u1ec1u, n\u1eb7ng \u0111\u1ebfn 154,2kg so v\u1edbi 60,8kg c\u1ee7a DGX-1 v\u00e0 chi\u1ebfm \u0111\u1ebfn 10U kh\u00f4ng gian rack, thay v\u00ec ch\u1ec9 3 \u1edf DGX-1.<\/figure>\n<figure>\n<p><figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-rear-view.jpg\" alt=\"M\u1eb7t sau Nvidia DGX-2\" width=\"770\" height=\"667\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-rear-view.jpg\" \/><figcaption class=\"wp-caption-text\">M\u1eb7t sau c\u1ee7a chassis 10U DGX-2 v\u1edbi c\u00e1c slot cho hai khay GPU, v\u1edbi c\u00e1c slot tr\u1ed1ng cho m\u00e1y ch\u1ee7 v\u00e0 khay PCIe b\u00ean d\u01b0\u1edbi, c\u00f9ng v\u1edbi ba b\u1ed9 ngu\u1ed3n hot-swap \u1edf hai b\u00ean.<\/figcaption><\/figure><figcaption><\/figcaption>C\u0169ng c\u1ea7n ch\u00fa \u00fd r\u1eb1ng DGX-2 c\u1ea7n nhi\u1ec1u n\u0103ng l\u01b0\u1ee3ng h\u01a1n so v\u1edbi ng\u01b0\u1eddi anh em ti\u1ec1n nhi\u1ec7m c\u1ee7a n\u00f3, n\u00f3 c\u1ea7n t\u1edbi 10kW \u1edf ch\u1ebf \u0111\u1ed9 to\u00e0n t\u1ea3i, v\u00e0 t\u0103ng l\u00ean 12kW cho m\u1eabu DGX-2H \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 g\u1ea7n \u0111\u00e2y (s\u1ebd s\u1edbm ra m\u1eaft). B\u1ee9c \u1ea3nh d\u01b0\u1edbi \u0111\u00e2y cho th\u1ea5y s\u1ef1 b\u1ed1 tr\u00ed ngu\u1ed3n t\u1ea1i Boston Lab c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m cho &#8220;con m\u00e3nh th\u00fa&#8221; n\u00e0y l\u00e0m vi\u1ec7c tho\u1ea3i m\u00e1i. V\u1ea5n \u0111\u1ec1 l\u00e0m m\u00e1t, t\u01b0\u01a1ng t\u1ef1, c\u0169ng c\u1ea7n \u0111\u01b0\u1ee3c xem x\u00e9t k\u1ef9 l\u01b0\u1ee1ng, \u0111\u1eb7c bi\u1ec7t l\u00e0 khi c\u00f3 h\u01a1n m\u1ed9t h\u1ec7 th\u1ed1ng DGX-2 \u0111\u01b0\u1ee3c tri\u1ec3n khai ho\u1eb7c n\u00f3 \u0111\u01b0\u1ee3c \u0111\u1eb7t chung v\u1edbi c\u00e1c ph\u1ea7n c\u1ee9ng kh\u00e1c tr\u00ean c\u00f9ng m\u1ed9t kh\u00f4ng gian rack.<\/figure>\n<figure style=\"width: 370px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-rack-power.jpg\" alt=\"Nvidia DGX-2 rack power\" width=\"370\" height=\"423\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-rack-power.jpg\" \/><figcaption class=\"wp-caption-text\">M\u1ed9t s\u1ef1 l\u01b0u \u00fd \u0111\u1eb7c bi\u1ec7t \u0111\u1ebfn ngu\u1ed3n \u0111i\u1ec7n v\u00e0 v\u1ea5n \u0111\u1ec1 t\u1ea3n nhi\u1ec7t l\u00e0 c\u1ea7n thi\u1ebft, \u0111\u1eb7c bi\u1ec7t l\u00e0 v\u1edbi khung rack h\u1ed7n h\u1ee3p.<\/figcaption><\/figure>\n<p>Vi\u1ec7c ph\u00e2n ph\u1ed1i ngu\u1ed3n do m\u1ed9t b\u1ed9 s\u00e1u Power Supply Unit (PSU) v\u1edbi t\u00ednh n\u0103ng hot-swap v\u00e0 redundant, c\u1eafm v\u00e0o ph\u00eda sau chassis c\u00f9ng v\u1edbi c\u00e1c module kh\u00e1c nhau t\u1ea1o n\u00ean ph\u1ea7n c\u00f2n l\u1ea1i c\u1ee7a h\u1ec7 th\u1ed1ng. Vi\u1ec7c l\u00e0m m\u00e1t \u0111\u01b0\u1ee3c \u0111\u1ea3m nhi\u1ec7m b\u1edfi m\u1ed9t d\u00e3y 10 qu\u1ea1t t\u1ea3n nhi\u1ec7t n\u1eb1m ph\u00eda sau t\u1ea5m panel m\u1eb7t tr\u01b0\u1edbc, c\u00f3 kh\u00f4ng gian \u1edf hai b\u00ean cho 16 \u1ed5 c\u1ee9ng l\u01b0u tr\u1eef 2,5 inch, t\u00e1m slot m\u1ed7i b\u00ean.<\/p>\n<figure>\n<p><figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-ssd.jpg\" alt=\"Nvidia DGX-2 SSD drive\" width=\"770\" height=\"521\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-ssd.jpg\" \/><figcaption class=\"wp-caption-text\">V\u1edbi 8 \u1ed5 SSD NVMe, DGX-2 c\u00f3 dung l\u01b0\u1ee3ng l\u01b0u tr\u1eef 30TB, ch\u1eeba l\u1ea1i t\u00e1m bay tr\u1ed1ng \u0111\u1ec3 d\u00f9ng cho vi\u1ec7c m\u1edf r\u1ed9ng.<\/figcaption><\/figure><\/figure>\n<p>Nvidia \u0111\u00e3 cho l\u1eafp t\u00e1m \u1ed5 c\u1ee9ng NVMe Micron 9200 Pro 3,84TB trong c\u1ea5u h\u00ecnh chu\u1ea9n, t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u1edbi h\u01a1n 30TB dung l\u01b0\u1ee3ng l\u01b0u tr\u1eef hi\u1ec7u n\u0103ng cao. Tuy v\u1eady, c\u1ea5u h\u00ecnh n\u00e0y ch\u1ee7 y\u1ebfu l\u00e0 \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u c\u1ee5c b\u1ed9, v\u1edbi c\u00e1c b\u1ed9 l\u01b0u tr\u1eef b\u1ed5 sung tr\u00ean bo m\u1ea1ch ch\u1ee7 ch\u00ednh cho h\u1ec7 \u0111i\u1ec1u h\u00e0nh v\u00e0 \u1ee9ng d\u1ee5ng. N\u00f3 c\u0169ng ch\u1eeba l\u1ea1i t\u00e1m bay tr\u1ed1ng \u0111\u1ec3 th\u00eam dung l\u01b0\u1ee3ng n\u1ebfu c\u1ea7n. Ngo\u00e0i ra, DGX-2 \u0111\u01b0\u1ee3c trang b\u1ecb c\u00e1c network interface b\u0103ng th\u00f4ng cao \u0111\u1ec3 k\u1ebft n\u1ed1i v\u1edbi nhi\u1ec1u kh\u00f4ng gian l\u01b0u tr\u1eef h\u01a1n v\u00e0 x\u00e2y d\u1ef1ng c\u00e1c c\u1ee5m m\u00e1y ch\u1ee7 khi c\u1ea7n.<\/p>\n<h3>Ph\u1ea7n c\u1ee7a Intel<\/h3>\n<figure><figcaption>K\u00e9o khay m\u00e1y ch\u1ee7 ch\u00ednh ra, b\u00ean trong b\u1ea1n s\u1ebd th\u1ea5y m\u1ed9t bo m\u1ea1ch ch\u1ee7 Intel th\u00f4ng th\u01b0\u1eddng v\u1edbi hai socket cho chip Xeon Platinum. Tr\u00ean h\u1ec7 th\u1ed1ng ch\u00fang t\u00f4i quan s\u00e1t \u0111\u01b0\u1ee3c c\u00e1c b\u1ed9 x\u1eed l\u00fd Xeon Platinum 8168 c\u00f3 24 core, t\u1ed1c \u0111\u1ed9 2,7 GHz, m\u1eb7c d\u00f9 Nvidia \u0111\u00e3 c\u00f4ng b\u1ed1 m\u1eabu DGX-2H v\u1edbi b\u1ed9 x\u1eed l\u00fd Xeon Platinum 8174 3,1 GHz nhanh h\u01a1n c\u00f9ng v\u1edbi c\u00e1c modle 450W Volta 100 m\u1edbi h\u01a1n. \u0110i\u1ec1u n\u00e0y d\u1eabn \u0111\u1ebfn \u0111\u00f2i h\u1ecfi nhi\u1ec1u n\u0103ng l\u01b0\u1ee3ng h\u01a1n (l\u00ean t\u1edbi 12kW) v\u00e0 c\u00f3 th\u1ec3 s\u1ebd th\u00eam v\u00e0o chi ph\u00ed v\u1eadn h\u00e0nh chung, m\u1eb7c d\u00f9 t\u1ea1i th\u1eddi \u0111i\u1ec3m vi\u1ebft b\u00e0i n\u00e0y, gi\u00e1 b\u00e1n c\u1ee7a model m\u1edbi n\u00e0y v\u1eabn ch\u01b0a \u0111\u01b0\u1ee3c x\u00e1c nh\u1eadn.<\/p>\n<figure style=\"width: 370px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-server-motherboard.jpg\" alt=\"Nvidia dgx2 server motherboard\" width=\"370\" height=\"533\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-server-motherboard.jpg\" \/><figcaption class=\"wp-caption-text\">M\u1ed9t b\u1ed9 2 CPU Xeon Platinum 24 core, RAM 1,5TB v\u00e0 m\u1ed9t b\u1ed9 storage adapter cho NVMe \u0111\u01b0\u1ee3c l\u1eafp tr\u00ean bo m\u1ea1ch ch\u1ee7 c\u1ee7a DGX-2.<\/figcaption><\/figure>\n<\/figcaption><\/figure>\n<p>B\u1ea5t k\u1ec3 th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt nh\u01b0 th\u1ebf n\u00e0o, b\u1ed9 x\u1eed l\u00fd Xeon n\u1eb1m \u1edf gi\u1eefa bo m\u1ea1ch ch\u1ee7 \u0111\u01b0\u1ee3c bao quanh b\u1edfi 24 khe DIMM \u0111\u00e3 \u0111\u01b0\u1ee3c l\u1eafp \u0111\u1ea7y, mang \u0111\u1ebfn cho ng\u01b0\u1eddi mua m\u1ed9t b\u1ed9 RAM DDR4 l\u00ean \u0111\u1ebfn 1,5TB \u0111\u1ec3 v\u1eadn h\u00e0nh. B\u00ean c\u1ea1nh \u0111\u00f3 l\u00e0 m\u1ed9t c\u1eb7p \u1ed5 c\u1ee9ng NVMe stick 960GB \u0111\u01b0\u1ee3c c\u1ea5u h\u00ecnh RAID 1 \u0111\u1ec3 kh\u1edfi \u0111\u1ed9ng H\u0110H (Ubuntu Linux), cung c\u1ea5p kh\u00f4ng gian cho software stack c\u1ee7a DGX v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c.<\/p>\n<p>Network v\u00e0 USB controller th\u00f4ng th\u01b0\u1eddng c\u0169ng \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p s\u1eb5n, v\u1edbi hai c\u1ed5ng\u00a0Gigabit RJ-45 \u1edf ph\u00eda sau &#8211; m\u1ed9t cho\u00a0remote management v\u00e0 m\u1ed9t cho k\u1ebft n\u1ed1i chung. M\u1ed9t trong hai khe c\u1eafm m\u1edf r\u1ed9ng PCIe c\u00f3 s\u1eb5n c\u0169ng \u0111\u01b0\u1ee3c trang b\u1ecb b\u1ed9 chuy\u1ec3n \u0111\u1ed5i Mellanox ConnectX-5 dual-port c\u00f3 th\u1ec3 l\u1eafp c\u00e1c b\u1ed9 thu ph\u00e1t Ethernet l\u00ean \u0111\u1ebfn 100GbE \u0111\u1ec3 m\u1edf r\u1ed9ng th\u00eam b\u0103ng th\u00f4ng m\u1ea1ng.<\/p>\n<figure>\n<p><figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-server-ports.jpg\" alt=\"Nvidia dgx2 server ports\" width=\"770\" height=\"253\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-server-ports.jpg\" \/><figcaption class=\"wp-caption-text\">C\u0169ng nh\u01b0 hai c\u1ed5ng Gigabit Ethernet t\u00edch h\u1ee3p, b\u1ed9 \u0111i\u1ec1u h\u1ee3p Mellanox PCIe cung c\u1ea5p th\u00eam hai c\u1ed5ng Ethernet c\u00f3 th\u1ec3 l\u1eafp c\u00e1c transceiver 10-100GbE.<\/figcaption><\/figure><figcaption>Khe c\u1eafm m\u1edf r\u1ed9ng PCIe ph\u1ee5 th\u01b0\u1eddng l\u00e0 \u0111\u1ec3 tr\u1ed1ng nh\u01b0ng th\u1eadm ch\u00ed n\u00f3 c\u00f2n c\u00f3 nhi\u1ec1u k\u1ebft n\u1ed1i h\u01a1n nh\u1edd v\u00e0o khay PCIe ri\u00eang n\u1eb1m ngay ph\u00eda tr\u00ean bo m\u1ea1ch ch\u1ee7 m\u00e1y ch\u1ee7. \u0110i\u1ec1u n\u00e0y b\u1ed5 sung th\u00eam t\u00e1m PCIe interface, ti\u1ebfp t\u1ee5c \u0111\u01b0\u1ee3c l\u1eafp \u0111\u1ea7y v\u1edbi Mellanox adapter c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 k\u1ebft n\u1ed1i v\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng clustered storage b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c transceiver 10GbE Ethernet ho\u1eb7c InfiniBand EDR 100.<\/figcaption><\/figure>\n<figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-pcie-tray.jpg\" alt=\"Nvidia DGX-2 PCIe tray\" width=\"770\" height=\"460\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-pcie-tray.jpg\" \/><figcaption class=\"wp-caption-text\">Th\u00eam t\u00e1m c\u1ed5ng Ethernet ho\u1eb7c Infiniband c\u00f3 s\u1eb5n th\u00f4ng qua khay PCIe.<\/figcaption><\/figure>\n<h3>Ph\u1ea7n c\u1ee7a Nvidia<\/h3>\n<p>V\u00e0 b\u00e2y gi\u1edd ph\u1ea7n m\u00e0 c\u00f3 l\u1ebd b\u1ea1n \u0111ang ch\u1edd \u0111\u1ee3i nh\u1ea5t &#8211; 16 GPU Nvidia Tesla V100, v\u00ec c\u00e1c t\u1ea3n nhi\u1ec7t l\u1edbn (xem b\u00ean d\u01b0\u1edbi), m\u00e0 ch\u00fang ph\u1ea3i \u0111\u01b0\u1ee3c chia th\u00e0nh hai b\u1ea3ng n\u1ec1n.<\/p>\n<p>\u0110\u1ec3 ti\u1ec7n h\u00ecnh dung, d\u01b0\u1edbi \u0111\u00e2y l\u00e0 h\u00ecnh \u1ea3nh c\u1ee7a module Tesla Volta 100:<\/p>\n<figure><img decoding=\"async\" class=\"\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-tesla-v100.jpg\" alt=\"nvidia-dgx2-tesla-v100.jpg\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-tesla-v100.jpg\" \/><figcaption><\/figcaption>V\u00e0 d\u01b0\u1edbi \u0111\u00e2y l\u00e0 8 module Volta 100 khi \u0111\u01b0\u1ee3c l\u1eafp v\u00e0o m\u1ed9t khay GPU c\u1ee7a DGX-2:<\/figure>\n<figure>\n<p><figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-gpu-baseboard.jpg\" alt=\"Nvidia dgx2 gpu baseboard\" width=\"770\" height=\"603\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-gpu-baseboard.jpg\" \/><figcaption class=\"wp-caption-text\">16 GPU Tesla V100 \u0111\u01b0\u1ee3c ph\u00e2n chia gi\u1eefa hai b\u1ea3ng n\u1ec1n c\u00f9ng v\u1edbi ph\u1ea7n c\u1ee9ng NVswitch c\u1ea7n thi\u1ebft \u0111\u1ec3 li\u00ean k\u1ebft ch\u00fang l\u1ea1i v\u1edbi nhau.<\/figcaption><\/figure><figcaption>C\u00e1c bo m\u1ea1ch GPU c\u0169ng gi\u1eef c\u00e1c NVswitch \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i v\u1eadt l\u00fd \u0111\u1ec3 c\u00e1c module Volta 100 giao ti\u1ebfp v\u00e0 ho\u1ea1t \u0111\u1ed9ng nh\u01b0 m\u1ed9t GPU \u0111\u1ed9c l\u1eadp. \u0110i\u1ec1u n\u00e0y \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n b\u1eb1ng c\u00e1ch g\u1eafn hai backplanes \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf t\u00f9y bi\u1ebfn v\u00e0o ph\u00eda sau c\u1ee7a b\u1ea3ng n\u1ec1n m\u1ed9t khi ch\u00fang \u0111\u00e3 \u0111\u01b0\u1ee3c l\u1eafp v\u00e0o chassis.<\/figcaption><\/figure>\n<figure>\n<p><figure style=\"width: 770px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-gpu-backplanes.jpg\" alt=\"Nvidia dgx2 gpu backplanes\" width=\"770\" height=\"475\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-gpu-backplanes.jpg\" \/><figcaption class=\"wp-caption-text\">C\u00e1c NVswitch tr\u00ean b\u1ea3ng n\u1ec1n GPU \u0111\u01b0\u1ee3c n\u1ed1i v\u1edbi nhau m\u1ed9t c\u00e1ch v\u1eadt l\u00fd b\u1edfi c\u00e1c backplanes tr\u00f4ng l\u1ea1 l\u1eabm n\u00e0y, \u0111\u01b0\u1ee3c g\u1eafn \u1edf ph\u00eda sau.<\/figcaption><\/figure><figcaption><\/figcaption><\/figure>\n<p>B\u1ea3n th\u00e2n c\u00e1c GPU Tesla V100 c\u00f3 nhi\u1ec1u module SXM gi\u1ed1ng nh\u01b0 trong h\u1ec7 th\u1ed1ng DGX-1 m\u1edbi nh\u1ea5t. M\u1ed7i chi\u1ebfc \u0111\u01b0\u1ee3c trang b\u1ecb b\u1ed9 nh\u1edb HBM2 32GB cho m\u1ed7i GPU, do \u0111\u00f3, v\u1edbi 16 GPU \u0111\u01b0\u1ee3c l\u1eafp \u0111\u1eb7t, b\u1ed9 nh\u1edb GPU t\u0103ng l\u00ean g\u1ea5p \u0111\u00f4i &#8211; 512GB.<\/p>\n<p>M\u1ed7i GPU c\u0169ng c\u00f3 5.120 l\u00f5i x\u1eed l\u00fd CUDA core c\u0169ng nh\u01b0 640 Tensor core \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a v\u00e0 chuy\u00ean d\u1ee5ng cho AI h\u01a1n. Nh\u00e2n v\u1edbi 16, ch\u00fang cung c\u1ea5p t\u1ed5ng c\u1ed9ng 10.240 Tensor core v\u00e0 81.920 CUDA core t\u01b0\u01a1ng \u1ee9ng. T\u1ea5t c\u1ea3 t\u1ea1o ra r\u1ea5t nhi\u1ec1u s\u1ee9c m\u1ea1nh x\u1eed l\u00fd, \u0111\u01b0\u1ee3c t\u0103ng c\u01b0\u1eddng h\u01a1n n\u1eefa b\u1edfi b\u0103ng th\u00f4ng k\u1ebft n\u1ed1i l\u00ean \u0111\u1ebfn 2,4TB\/s t\u1ea1o ra t\u1eeb c\u00f4ng ngh\u1ec7 NVSwitch v\u1edbi kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng h\u01a1n n\u1eefa trong t\u01b0\u01a1ng lai.<\/p>\n<h2><strong>V\u1ea5n \u0111\u1ec1 hi\u1ec7u n\u0103ng<\/strong><\/h2>\n<p>Ph\u1ea7n c\u1ee9ng \u0111\u00e3 \u0111\u01b0\u1ee3c \u0111\u1ec1 c\u1eadp \u0111\u1ebfn nhi\u1ec1u. Ngo\u00e0i ra, b\u1ea1n c\u0169ng ph\u1ea3i c\u1ea7n \u0111\u1ebfn c\u00e1c b\u1ed9 c\u00f4ng c\u1ee5 AI \u0111\u01b0\u1ee3c c\u00e0i \u0111\u1eb7t s\u1eb5n \u0111\u1ec3 t\u0103ng s\u1ee9c m\u1ea1nh v\u00e0 s\u1eb5n s\u00e0ng l\u00e0m vi\u1ec7c.<\/p>\n<p>Khi xem x\u00e9t \u0111\u1ebfn m\u1ed9t m\u00e1y ch\u1ee7, \u1edf l\u00fac n\u00e0y ch\u00fang ta th\u01b0\u1eddng s\u1ebd b\u1eaft \u0111\u1ea7u n\u00f3i v\u1ec1 hi\u1ec7u n\u0103ng v\u00e0 k\u1ebft qu\u1ea3 c\u1ee7a c\u00e1c b\u00e0i ki\u1ec3m tra m\u00e0 ch\u00fang ta th\u01b0\u1eddng s\u1ebd ch\u1ea1y \u0111\u1ec3 xem c\u00e1ch th\u1ee9c ch\u00fang x\u1eed l\u00fd. Tuy nhi\u00ean, vi\u1ec7c ch\u1ea1y benchmark tr\u00ean DGX-2 l\u00e0 m\u1ed9t nhi\u1ec7m v\u1ee5 kh\u00f4ng h\u1ec1 d\u1ec5 d\u00e0ng, v\u1edbi m\u00f4 h\u00ecnh <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">deep learning<\/a> v\u00e0 c\u00e1c workload HPC n\u00f3i chung kh\u00e1c c\u00f3 li\u00ean quan, s\u1ebd y\u00eau c\u1ea7u c\u00e1c phi\u00ean l\u00e0m vi\u1ec7c d\u00e0i ng\u00e0y. V\u00ec v\u1eady, thay v\u00e0o \u0111\u00f3, ch\u00fang t\u00f4i s\u1ebd ph\u1ea3i d\u1ef1a v\u00e0o c\u00e1c c\u00f4ng b\u1ed1 c\u1ee7a Nvidia, c\u00f9ng v\u1edbi ph\u1ea3n h\u1ed3i t\u1eeb c\u00e1c chuy\u00ean gia t\u1ea1i Boston.<\/p>\n<figure><img decoding=\"async\" class=\"\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-performance.jpg\" alt=\"nvidia-dgx2-performance.jpg\" data-original=\" https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/-000\/\/1\/nvidia-dgx2-performance.jpg\" \/><figcaption><\/figcaption><\/figure>\n<p>Cu\u1ed1i c\u00f9ng th\u00ec con s\u1ed1 n\u1ed5i b\u1eadt cho DGX-2 l\u00e0 s\u1ee9c m\u1ea1nh x\u1eed l\u00fd 2 petaFLOPS (PFLOPS) \u1ea5n t\u01b0\u1ee3ng \u0111\u01b0\u1ee3c cung c\u1ea5p ch\u1ee7 y\u1ebfu b\u1edfi c\u00e1c Tensor core \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c workload \u0111\u00e0o t\u1ea1o AI h\u1ed7n h\u1ee3p. Con s\u1ed1 n\u00e0y t\u0103ng l\u00ean 2.1 PFLOPS tr\u00ean DGX-2H s\u1eed d\u1ee5ng c\u00e1c module Tesla V100 450W nhanh h\u01a1n.<\/p>\n<p>\u0110\u1ec3 h\u00ecnh dung, s\u1ee9c m\u1ea1nh x\u1eed l\u00fd n\u00e0y \u0111\u00e3 cho ph\u00e9p DGX-2 ho\u00e0n th\u00e0nh ch\u1ec9 s\u1ed1 benchmark FairSeq PyTorch ch\u1ec9 trong 1,5 ng\u00e0y &#8211; nhanh h\u01a1n 10 l\u1ea7n so v\u1edbi 15 ng\u00e0y c\u1ea7n thi\u1ebft cho th\u1eed nghi\u1ec7m t\u01b0\u01a1ng t\u1ef1 tr\u00ean DGX-1 ch\u1ec9 s\u00e1u th\u00e1ng tr\u01b0\u1edbc \u0111\u00f3. H\u01a1n n\u1eefa, Nvidia cho r\u1eb1ng \u0111\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 t\u01b0\u01a1ng t\u1ef1 b\u1eb1ng c\u00f4ng ngh\u1ec7 x86 s\u1ebd c\u1ea7n 300 m\u00e1y ch\u1ee7 Xeon dual-socket, chi\u1ebfm 15 rack unit v\u00e0 ti\u00eau t\u1ed1n kho\u1ea3ng 2,7 tri\u1ec7u USD.<\/p>\n<p>T\u1ea5t c\u1ea3 \u0111i\u1ec1u \u0111\u00f3 l\u00e0m cho DGX-2 c\u00f3 v\u1ebb nh\u01b0 m\u1ed9t m\u00f3n h\u1eddi \u1edf m\u1ee9c gi\u00e1 kho\u1ea3ng 400.000 USD, ngay c\u1ea3 khi b\u1ea1n ph\u1ea3i tr\u1ea3 th\u00eam c\u00e1c chi ph\u00ed h\u1ed7 tr\u1ee3. M\u1eb7c d\u00f9 c\u00f3 m\u1ee9c gi\u00e1 cao ng\u1ea5t ng\u01b0\u1ee1ng, c\u00e1c c\u00f4ng ty \u0111\u00e3 \u0111\u1ea7u t\u01b0 v\u00e0o AI s\u1ebd th\u1ea5y \u0111i\u1ec1u n\u00e0y l\u00e0 r\u1ea5t h\u1ee3p l\u00fd so v\u1edbi c\u00e1c gi\u1ea3i ph\u00e1p thay th\u1ebf, bao g\u1ed3m vi\u1ec7c thu\u00ea th\u1eddi gian x\u1eed l\u00fd trong c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u ho\u1eb7c \u0111\u00e1m m\u00e2y chia s\u1ebb. Nvidia c\u0169ng mu\u1ed1n nh\u1ea5n m\u1ea1nh r\u1eb1ng DGX-2 c\u0169ng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c HPC workload hi\u1ec7u qu\u1ea3 h\u01a1n, b\u00ean c\u1ea1nh nhi\u1ec7m v\u1ee5 AI c\u1ee7a m\u00ecnh.<\/p>\n<p>C\u0169ng c\u1ea7n nh\u1edb r\u1eb1ng, m\u1eb7c d\u00f9 DGX-1 v\u00e0 DGX-2 \u0111ang c\u00f3 nh\u1eefng b\u01b0\u1edbc ti\u1ebfn m\u1edbi, c\u00e1c l\u1ef1a ch\u1ecdn thay th\u1ebf \u0111ang d\u1ea7n l\u1ed9 di\u1ec7n t\u1eeb c\u00e1c nh\u00e0 cung c\u1ea5p kh\u00e1c. V\u1edbi <a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a>, tr\u00ean trang web c\u1ee7a h\u1ecd \u0111\u00e3 li\u1ec7t k\u00ea m\u1ed9t m\u00e1y ch\u1ee7 d\u1ef1a tr\u00ean c\u00f9ng model tham chi\u1ebfu Nvidia HGX-2 nh\u01b0 DGX-2. Nh\u1eefng h\u00e3ng kh\u00e1c, ch\u1eb3ng h\u1ea1n nh\u01b0 Lenovo, c\u0169ng kh\u00f4ng t\u1ee5t l\u1ea1i ph\u00eda sau v\u00e0 nh\u1eefng l\u1ef1a ch\u1ecdn thay th\u1ebf n\u00e0y ch\u1eafc ch\u1eafn s\u1ebd c\u00f3 t\u00e1c d\u1ee5ng l\u00e0m gi\u1ea3m gi\u00e1 b\u00e1n. Ch\u00fang t\u00f4i s\u1ebd ti\u1ebfp t\u1ee5c theo d\u00f5i nh\u1eefng b\u01b0\u1edbc ti\u1ebfn tri\u1ec3n n\u00e0y trong su\u1ed1t n\u0103m 2019.<\/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<\/p>","protected":false},"excerpt":{"rendered":"<p>V&#7899;i 400.000 USD, b&#7841;n c&oacute; th&#7875; nh&#7853;n &#273;&#432;&#7907;c kho&#7843;ng 400 chi&#7871;c iPhone X, 300 chi&#7871;c laptop Surface Pro ho&#7863;c 11 chi&#7871;c &ocirc; t&ocirc; &#273;i&#7879;n Tesla Series 3. Nh&#432;ng b&#7841;n ph&#7843;i m&#7845;t t&#7889;i thi&#7875;u 400.000 USD &#273;&oacute; (t&#432;&#417;ng &#273;&#432;&#417;ng v&#7899;i 9,2 t&#7927; VN&#272;) &#273;&#7875; ch&#7881; c&oacute; &#273;&#432;&#7907;c m&#7897;t chi&#7871;c m&aacute;y ch&#7911; AI Nvidia DGX-2, &#273;&#432;&#7907;c coi&#8230;<\/p>\n","protected":false},"author":2,"featured_media":987,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,44],"tags":[7,1364,671,74,1314],"class_list":["post-971","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-product","tag-ai","tag-dgx","tag-gpu","tag-hpc","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>&quot;Tr\u00ean tay&quot; h\u1ec7 th\u1ed1ng Nvidia DGX-2: Con kh\u1ee7ng long b\u1ea1o ch\u00faa c\u1ee7a l\u00e0ng AI! - Blog | TheGioiMayChu<\/title>\n<meta name=\"description\" content=\"B\u00e0i vi\u1ebft ghi l\u1ea1i nh\u1eefng quan s\u00e1t tr\u1ef1c quan v\u1ec1 h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh hi\u1ec7u n\u0103ng cao NVidia DGX-2 \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c b\u1edfi 16 GPU Tesla V100, chuy\u00ean d\u00f9ng cho AI.\" \/>\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\/product\/tren-tay-he-thong-nvidia-dgx-2-con-khung-long-bao-chua-cua-lang-ai-p971\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"&quot;Tr\u00ean tay&quot; h\u1ec7 th\u1ed1ng Nvidia DGX-2: Con kh\u1ee7ng long b\u1ea1o ch\u00faa c\u1ee7a l\u00e0ng AI! - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"B\u00e0i vi\u1ebft ghi l\u1ea1i nh\u1eefng quan s\u00e1t tr\u1ef1c quan v\u1ec1 h\u1ec7 th\u1ed1ng m\u00e1y t\u00ednh hi\u1ec7u n\u0103ng cao NVidia DGX-2 \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c b\u1edfi 16 GPU Tesla V100, chuy\u00ean d\u00f9ng cho AI.\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2019\/01\/data-center-systems-dgx-2-843-u1.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=\"14 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/product\\\/tren-tay-he-thong-nvidia-dgx-2-con-khung-long-bao-chua-cua-lang-ai-p971\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/product\\\/tren-tay-he-thong-nvidia-dgx-2-con-khung-long-bao-chua-cua-lang-ai-p971\\\/\"},\"author\":{\"name\":\"Vanito Hoang\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/#\\\/schema\\\/person\\\/feccec179330cfebfaa805639a357d18\"},\"headline\":\"&#8220;Tr\u00ean tay&#8221; 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