{"id":5830,"date":"2020-06-18T04:14:23","date_gmt":"2020-06-18T04:14:23","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=5830"},"modified":"2020-06-18T09:19:57","modified_gmt":"2020-06-18T09:19:57","slug":"tesla-v100-va-t4-dong-gpu-chuyen-dung-trong-data-center","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/tesla-v100-va-t4-dong-gpu-chuyen-dung-trong-data-center-p5830\/","title":{"rendered":"Tesla V100 v\u00e0 T4 &#8211; D\u00f2ng GPU chuy\u00ean d\u00f9ng trong Data Center"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>M\u1eb7c d\u00f9 b\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda ban \u0111\u1ea7u \u0111\u01b0\u1ee3c d\u00e0nh cho c\u00e1c game th\u1ee7, nh\u01b0ng c\u00e1c chuy\u00ean gia m\u00e1y t\u00ednh \u0111\u1ec1u th\u1eeba bi\u1ebft r\u1eb1ng ch\u00fang c\u0169ng c\u1ef1c k\u1ef3 c\u00f3 gi\u00e1 tr\u1ecb trong c\u00e1c l\u0129nh v\u1ef1c kh\u00e1c.\u00a0Hi\u1ec7n t\u1ea1i, nh\u1eefng ng\u01b0\u1eddi khai th\u00e1c ti\u1ec1n \u0111i\u1ec7n t\u1eed \u0111ang b\u1eaft \u0111\u1ea7u chuy\u1ec3n sang ASIC, gi\u00e1 c\u1ea3 v\u00e0 th\u1ecb tr\u01b0\u1eddng ti\u00eau th\u1ee5 GPU \u0111ang \u1ed5n \u0111\u1ecbnh tr\u1edf l\u1ea1i.\u00a0C\u1ed9ng \u0111\u1ed3ng h\u1ecdc t\u1eadp s\u00e2u c\u00f3 th\u1ec3 h\u00edt th\u1edf, th\u01b0 gi\u00e3n, mua s\u1eafm GPU cho c\u00e1c nhu c\u1ea7u m\u1edbi v\u00e0 ch\u1ea1y c\u00e1c m\u00f4 h\u00ecnh training.<\/p>\n<p>NVIDIA cho th\u1ea5y c\u00e1c game th\u1ee7 kh\u00f4ng c\u00f2n l\u00e0 \u0111\u1ed1i t\u01b0\u1ee3ng m\u1ee5c ti\u00eau duy nh\u1ea5t cho c\u00e1c s\u1ea3n ph\u1ea9m c\u1ee7a h\u1ecd n\u1eefa.\u00a0V\u00e0o th\u00e1ng 9 n\u0103m 2018, h\u1ecd \u0111\u00e3 ph\u00e1t h\u00e0nh <a href=\"https:\/\/thegioimaychu.vn\/nvidia-tesla-t4-16gb-gddr6-pcie-3-0-tm7031.html\">NVIDIA Tesla T4<\/a>: card suy lu\u1eadn (inference) d\u00f9ng tr\u00ean m\u00e1y ch\u1ee7 chuy\u00ean d\u1ee5ng cho <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">Deep Learning<\/a>.\u00a0 <a href=\"https:\/\/thegioimaychu.vn\/nvidia-tesla-v100-32gb-cowos-hbm2-pcie-30-gpu-nvtv100-32.html\">NVIDIA Tesla V100<\/a>, chuy\u00ean d\u1ee5ng cho \u0111\u00e0o t\u1ea1o (training), l\u00e0 m\u1ed9t s\u1ea3n ph\u1ea9m trong d\u00f2ng card \u0111\u1eb7c bi\u1ec7t d\u00e0nh cho <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">Deep Learning<\/a> c\u1ee7a h\u1ecd.\u00a0C\u00e1c card n\u00e0y \u0111\u01b0\u1ee3c trang b\u1ecb t\u00ednh n\u0103ng g\u1ecdi l\u00e0 Tensor Core \u0111\u1ec3 t\u0103ng hi\u1ec7u su\u1ea5t cho neural network.\u00a0C\u00e1c Tensor Core t\u01b0\u01a1ng t\u1ef1 c\u0169ng c\u00f3 m\u1eb7t trong c\u00e1c th\u1ebf h\u1ec7 card ph\u1ed5 th\u00f4ng m\u1edbi nh\u1ea5t nh\u01b0 RTX 2060, RTX 2070, RTX 2080 v\u00e0 <a href=\"https:\/\/thegioimaychu.vn\/gpu-inno3d-geforce-rtx-2080-ti-jet-tm7281.html\">RTX 2080 Ti<\/a> v\u00e0 c\u00e1c m\u1eabu card &#8220;SUPER&#8221; m\u1edbi.\u00a0N\u1ebfu b\u1ea1n t\u00ecm m\u1ed9t v\u00f2ng tr\u00ean m\u1ea1ng, b\u1ea1n s\u1ebd th\u1ea5y r\u1eb1ng 2080 Ti th\u01b0\u1eddng \u0111\u01b0\u1ee3c \u0111\u1ec1 xu\u1ea5t nhi\u1ec1u nh\u1ea5t cho machine learning t\u1ea1i th\u1eddi \u0111i\u1ec3m n\u00e0y.\u00a0Trong b\u00e0i n\u00e0y, ch\u00fang ta s\u1ebd xem x\u00e9t \u0111\u1ea7y \u0111\u1ee7 c\u00e1c y\u1ebfu t\u1ed1 \u0111\u1ec3 .<\/p>\n<h4>GPU card chuy\u00ean d\u00f9ng cho m\u00e1y ch\u1ee7<\/h4>\n<p>Tr\u01b0\u1edbc ti\u00ean, c\u00f3 m\u1ed9t s\u1ef1 kh\u00e1c bi\u1ec7t s\u00e2u s\u1eafc gi\u1eefa vi\u1ec7c \u0111\u1ecbnh gi\u00e1 card ph\u1ed5 th\u00f4ng v\u00e0 card d\u00e0nh cho m\u00e1y ch\u1ee7 m\u00e0 NVIDIA b\u00e1n.\u00a0V\u00ed d\u1ee5 v\u1edbi Tesla V100: \u0111\u00e2y l\u00e0 <a class=\"iblink\" href=\"\/linh-kien-may-chu\/gpu-card-may-chu\/\">GPU card<\/a> m\u00e1y ch\u1ee7 d\u1ef1a tr\u00ean ki\u1ebfn \u200b\u200btr\u00fac Volta GV100.\u00a0T\u01b0\u01a1ng t\u1ef1, c\u00f3 m\u1ed9t card ph\u1ed5 th\u00f4ng, Titan V, d\u1ef1a tr\u00ean c\u00f9ng m\u1ed9t ki\u1ebfn \u200b\u200btr\u00fac v\u1edbi th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt g\u1ea7n nh\u01b0 gi\u1ed1ng h\u1ec7t nhau.\u00a0C\u1ea3 hai \u0111\u1ec1u s\u1edf h\u1eefu 5120 CUDA core, TDP 250 Watts v\u00e0 kho\u1ea3ng 15 TFLOPS hi\u1ec7u su\u1ea5t single-precision floating point.\u00a0V100 c\u00f3 nhi\u1ec1u b\u1ed9 nh\u1edb h\u01a1n: n\u00f3 c\u00f3 16GB b\u1ed9 nh\u1edb HBM2 ch\u1ea1y \u1edf t\u1ed1c \u0111\u1ed9 xung nh\u1ecbp cao h\u01a1n m\u1ed9t ch\u00fat so v\u1edbi dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb 12GB c\u1ee7a Titan V. S\u1ef1 kh\u00e1c bi\u1ec7t ch\u00ednh n\u1eb1m \u1edf gi\u00e1: Titan V \u0111\u01b0\u1ee3c b\u00e1n ra \u1edf kho\u1ea3ng 3.000USD tr\u1edf l\u1ea1i, Tesla V100 th\u00ec \u1edf kho\u1ea3ng 10.000USD!\u00a0\u0110i\u1ec1u g\u00ec c\u00f3 th\u1ec3 c\u00f3 th\u1ec3 l\u00fd gi\u1ea3i cho s\u1ef1 ch\u00eanh l\u1ec7ch gi\u00e1 qu\u00e1 l\u1edbn n\u00e0y?\u00a0NVIDIA gi\u1ea3i th\u00edch r\u1eb1ng Tesla V100 c\u00f3 t\u1ea5t c\u1ea3 c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m c\u1ee7a card chuy\u00ean d\u00f9ng tr\u00ean m\u00e1y ch\u1ee7: b\u1ea3o h\u00e0nh 3 n\u0103m, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf v\u00e0 ki\u1ec3m ch\u1ee9ng \u0111\u1ec3 s\u1eed d\u1ee5ng tr\u00ean rack server trong th\u1eddi gian d\u00e0i.\u00a0C\u00f3 m\u1ed9t \u0111i\u1ec1u l\u00e0, EULA \u0111i k\u00e8m v\u1edbi c\u00e1c driver c\u1ea7n thi\u1ebft cho c\u00e1c card n\u00e0y th\u1ec3 hi\u1ec7n vi\u1ec7c KH\u00d4NG \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng card ph\u1ed5 th\u00f4ng trong c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u.\u00a0\u0110\u00e2y l\u00e0 l\u00fd do t\u1ea1i sao AWS, Azure v\u00e0 Google Cloud kh\u00f4ng cung c\u1ea5p c\u00e1c card Titan V.\u00a0V\u1ec1 c\u01a1 b\u1ea3n, b\u1ea1n c\u1ea7n tr\u1ea3 th\u00eam kho\u1ea3ng 7.000USD \u0111\u1ec3 c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng <a class=\"iblink\" href=\"\/linh-kien-may-chu\/gpu-card-may-chu\/\">GPU card<\/a> trong trung t\u00e2m d\u1eef li\u1ec7u. N\u1ebfu b\u1ea1n v\u1eabn mu\u1ed1n d\u00f9ng Titan V trong data center (n\u1ebfu n\u01a1i n\u00e0o \u0111\u00f3 cho ph\u00e9p) th\u00ec vi\u1ec7c n\u00f3 c\u00f3&#8230; ph\u00e1t l\u1eeda hay kh\u00f4ng th\u00ec kh\u00f4ng ai d\u00e1m ch\u1eafc! N\u1ebfu b\u1ea1n l\u00e0 m\u1ed9t nh\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u00e0 r\u1ea5t nghi\u00eam t\u00fac v\u1edbi d\u1ef1 \u00e1n c\u1ee7a m\u00ecnh, b\u1ea1n c\u1ea7n t\u00ecm hi\u1ec3u s\u00e2u v\u1ec1 c\u00e1c \u0111i\u1ec1u ki\u1ec7n \u0111\u1ec3 m\u1ed9t m\u00e1y ch\u1ee7 v\u1eadn h\u00e0nh trong data center, v\u00e0 nh\u1eefng y\u1ebfu t\u1ed1 \u0111\u1ea3m b\u1ea3o cho vi\u1ec7c GPU ch\u1ea1y li\u00ean t\u1ee5c trong th\u1eddi gian d\u00e0i.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/06\/tgmc-blog-5eeb25065eff8.jpg\" alt=\"\" \/><\/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<figure style=\"width: 1000px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/thegioimaychu.vn\/nvidia-tesla-v100-32gb-cowos-hbm2-pcie-30-gpu-nvtv100-32.html\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/06\/tgmc-blog-5eeb23e481b44.jpg\" alt=\"NVIDIA Tesla V100 \u0111\u01b0\u1ee3c l\u1eafp v\u00e0o m\u00e1y ch\u1ee7 HPE DL380 G10\" width=\"1000\" height=\"667\" \/><\/a><figcaption class=\"wp-caption-text\">L\u1eafp r\u00e1p c\u00e0i \u0111\u1eb7t PoC cho NVIDIA Tesla V100 t\u1ea1i Th\u1ebf Gi\u1edbi M\u00e1y Ch\u1ee7<\/figcaption><\/figure>\n<h4>V\u1ea5n \u0111\u1ec1 hi\u1ec7u su\u1ea5t<\/h4>\n<p>Ch\u00fang ta s\u1ebd c\u00f9ng t\u00ecm hi\u1ec3u v\u1ec1 hi\u1ec7u n\u0103ng c\u1ee7a Tesla V100 v\u00e0 T4, v\u00ec \u0111\u00e2y l\u00e0 nh\u1eefng m\u1eabu GPU m\u00e0 NVIDIA ch\u1ee7 y\u1ebfu nh\u1eafm \u0111\u1ebfn deep learning.<\/p>\n<p><em>Hi\u1ec7u su\u1ea5t deep learning<\/em>: \u0110\u1ed1i v\u1edbi Tesla V100, gpu n\u00e0y c\u00f3 125 TFLOPS, so v\u1edbi hi\u1ec7u su\u1ea5t single-precision l\u00e0 15 TFLOPS.\u00a0\u0110\u00e2y l\u00e0 m\u1ed9t th\u00f4ng s\u1ed1 kh\u1ee7ng! L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 h\u1ecd c\u00f3 \u0111\u01b0\u1ee3c \u0111i\u1ec1u n\u00e0y?\u00a0N\u00f3 d\u1ef1a tr\u00ean c\u00e1i g\u1ecdi l\u00e0 &#8220;mixed precision performance&#8221; c\u1ee7a NVIDIA.\u00a0V\u1ec1 c\u01a1 b\u1ea3n, b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng m\u1ed9t s\u1ed1 th\u1ee7 thu\u1eadt to\u00e1n h\u1ecdc, NVIDIA \u0111\u00e3 t\u00ecm c\u00e1ch k\u1ebft h\u1ee3p c\u1ea3 hai l\u1ee3i th\u1ebf c\u1ee7a FP32 c\u0169ng nh\u01b0 FP16 training: cho k\u1ebft qu\u1ea3 nhanh v\u00e0 h\u1ed9i t\u1ee5 ch\u00ednh x\u00e1c.\u00a0640 Tensor Cores \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u trong Tesla V100 \u0111\u01b0\u1ee3c ch\u1ebf t\u1ea1o \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 t\u0103ng t\u1ed1c half-precision training, cho ph\u00e9p h\u1ecd \u0111\u1ea1t \u0111\u01b0\u1ee3c c\u00e1c k\u1ebft qu\u1ea3 hi\u1ec7u su\u1ea5t phi th\u01b0\u1eddng n\u00e0y.\u00a0C\u00e1c chuy\u00ean gia h\u1ecdc s\u00e2u s\u1ebd th\u1ed1t ra: k\u1ef3 di\u1ec7u, l\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 d\u00f9ng \u0111\u01b0\u1ee3c n\u00f3?\u00a0N\u1ebfu b\u1ea1n \u0111ang s\u1eed d\u1ee5ng TensorFlow, b\u1ea1n c\u1ea7n m\u1ed9t &#8220;NVIDIA NGC TensorFlow 19.03 container&#8221; v\u00e0 ch\u1ea1y n\u00f3 trong m\u1ed9t Docker instance.\u00a0Sau \u0111\u00f3, k\u00edch ho\u1ea1t m\u1ed9t bi\u1ebfn m\u00f4i tr\u01b0\u1eddng v\u00e0 b\u1ea1n \u0111\u00e3 s\u1eb5n s\u00e0ng!<\/p>\n<p>Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt Tesla V100:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/06\/tgmc-blog-5eeae7ea72615.png\" alt=\"Bang t\u1ed1t nh\u1ea5t cho ph\u1ea7n c\u1ee9ng Buck c\u1ee7a b\u1ea1n \u0111\u1ec3 h\u1ecdc s\u00e2u \/img\/blog\/nvidia-v100-performance.png\" \/><\/p>\n<p>Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt Tesla T4:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/06\/tgmc-blog-5eeae7eb66280.png\" alt=\"Bang t\u1ed1t nh\u1ea5t cho ph\u1ea7n c\u1ee9ng Buck c\u1ee7a b\u1ea1n \u0111\u1ec3 h\u1ecdc s\u00e2u \/img\/blog\/nvidia-t4-performance.png\" \/><\/p>\n<h4>C\u00e1c th\u00f4ng s\u1ed1 hi\u1ec7u n\u0103ng c\u1ee7a Tesla V100, T4 so v\u1edbi c\u00e1c d\u00f2ng card kh\u00e1c<\/h4>\n<div class=\"scroll\">\n<table class=\"table sheet\" style=\"width: 1600px!important;\">\n<tbody>\n<tr>\n<td width=\"200\"><\/td>\n<td>VRAM<\/td>\n<td>MEM PF<\/td>\n<td>MEM SP<\/td>\n<td>MHZ<\/td>\n<td>CUDAs<\/td>\n<td>MHZ x CUDAs<\/td>\n<td>FP32 TFLOPS<\/td>\n<td>BIZON-TECH<\/td>\n<td>PERF AGG<\/td>\n<td>TCORES<\/td>\n<td>ENERGY<\/td>\n<td>ENPRICE<\/td>\n<td>PRICE<\/td>\n<\/tr>\n<tr>\n<td><strong>Tesla T4<\/strong><\/td>\n<td>16<\/td>\n<td>1.08<\/td>\n<td>320<\/td>\n<td>585<\/td>\n<td>2560<\/td>\n<td>1617<\/td>\n<td>8<\/td>\n<td><\/td>\n<td>1.5<\/td>\n<td>320<\/td>\n<td>70<\/td>\n<td>\u20ac 140.00<\/td>\n<td>\u20ac 2,500.00<\/td>\n<\/tr>\n<tr>\n<td><strong>Tesla V100<\/strong><\/td>\n<td>16<\/td>\n<td>1.08<\/td>\n<td>900<\/td>\n<td>1530<\/td>\n<td>5376<\/td>\n<td>8883<\/td>\n<td>15<\/td>\n<td><\/td>\n<td>4.7<\/td>\n<td>672<\/td>\n<td>250<\/td>\n<td>\u20ac 500.00<\/td>\n<td>\u20ac 10,000.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1080<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>320<\/td>\n<td>1632<\/td>\n<td>2560<\/td>\n<td>3844<\/td>\n<td>8.9<\/td>\n<td><\/td>\n<td>2.3<\/td>\n<td>0<\/td>\n<td>150<\/td>\n<td>\u20ac 300.00<\/td>\n<td>\u20ac 350.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1070<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>256<\/td>\n<td>1506<\/td>\n<td>1920<\/td>\n<td>2660<\/td>\n<td>6.4<\/td>\n<td><\/td>\n<td>1.6<\/td>\n<td>0<\/td>\n<td>150<\/td>\n<td>\u20ac 300.00<\/td>\n<td>\u20ac 250.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1080 Ti<\/td>\n<td>11<\/td>\n<td>0.98<\/td>\n<td>484<\/td>\n<td>1596<\/td>\n<td>3584<\/td>\n<td>5606<\/td>\n<td>11.1<\/td>\n<td>127<\/td>\n<td>3.2<\/td>\n<td>0<\/td>\n<td>250<\/td>\n<td>\u20ac 500.00<\/td>\n<td>\u20ac 500.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2060 Super<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>448<\/td>\n<td>1470<\/td>\n<td>2176<\/td>\n<td>2943<\/td>\n<td>7.2<\/td>\n<td><\/td>\n<td>1.8<\/td>\n<td>272<\/td>\n<td>175<\/td>\n<td>\u20ac 350.00<\/td>\n<td>\u20ac 360.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1660 Super<\/td>\n<td>6<\/td>\n<td>0.88<\/td>\n<td>336<\/td>\n<td>1530<\/td>\n<td>1408<\/td>\n<td>1896<\/td>\n<td>5<\/td>\n<td><\/td>\n<td>1.2<\/td>\n<td>0<\/td>\n<td>125<\/td>\n<td>\u20ac 250.00<\/td>\n<td>\u20ac 250.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1070 Ti<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>256<\/td>\n<td>1607<\/td>\n<td>2432<\/td>\n<td>3596<\/td>\n<td>8.2<\/td>\n<td><\/td>\n<td>2.2<\/td>\n<td>0<\/td>\n<td>180<\/td>\n<td>\u20ac 360.00<\/td>\n<td>\u20ac 500.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2070 Super<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>448<\/td>\n<td>1605<\/td>\n<td>2560<\/td>\n<td>3780<\/td>\n<td>9.1<\/td>\n<td><\/td>\n<td>2.3<\/td>\n<td>320<\/td>\n<td>175<\/td>\n<td>\u20ac 350.00<\/td>\n<td>\u20ac 590.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2060<\/td>\n<td>6<\/td>\n<td>0.88<\/td>\n<td>336<\/td>\n<td>1365<\/td>\n<td>1920<\/td>\n<td>2306<\/td>\n<td>6.5<\/td>\n<td>246<\/td>\n<td>1.5<\/td>\n<td>240<\/td>\n<td>160<\/td>\n<td>\u20ac 320.00<\/td>\n<td>\u20ac 360.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1660 Ti<\/td>\n<td>6<\/td>\n<td>0.88<\/td>\n<td>288<\/td>\n<td>1500<\/td>\n<td>1536<\/td>\n<td>2028<\/td>\n<td>5.4<\/td>\n<td><\/td>\n<td>1.3<\/td>\n<td>0<\/td>\n<td>120<\/td>\n<td>\u20ac 240.00<\/td>\n<td>\u20ac 320.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2080 Super<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>496<\/td>\n<td>1650<\/td>\n<td>3072<\/td>\n<td>4663<\/td>\n<td>11.2<\/td>\n<td><\/td>\n<td>2.9<\/td>\n<td>384<\/td>\n<td>215<\/td>\n<td>\u20ac 430.00<\/td>\n<td>\u20ac 815.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2070<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>448<\/td>\n<td>1410<\/td>\n<td>2304<\/td>\n<td>2989<\/td>\n<td>7.5<\/td>\n<td>156<\/td>\n<td>1.9<\/td>\n<td>288<\/td>\n<td>175<\/td>\n<td>\u20ac 350.00<\/td>\n<td>\u20ac 490.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2080<\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>448<\/td>\n<td>1515<\/td>\n<td>2944<\/td>\n<td>4103<\/td>\n<td>10<\/td>\n<td>134<\/td>\n<td>2.5<\/td>\n<td>368<\/td>\n<td>250<\/td>\n<td>\u20ac 500.00<\/td>\n<td>\u20ac 815.00<\/td>\n<\/tr>\n<tr>\n<td>GTX 1060<\/td>\n<td>6<\/td>\n<td>0.88<\/td>\n<td>192<\/td>\n<td>1506<\/td>\n<td>1280<\/td>\n<td>1696<\/td>\n<td>4.4<\/td>\n<td><\/td>\n<td>1.1<\/td>\n<td>0<\/td>\n<td>120<\/td>\n<td>\u20ac 240.00<\/td>\n<td>\u20ac 350.00<\/td>\n<\/tr>\n<tr>\n<td>RTX 2080 Ti<\/td>\n<td>11<\/td>\n<td>0.98<\/td>\n<td>616<\/td>\n<td>1350<\/td>\n<td>4352<\/td>\n<td>5758<\/td>\n<td>13.5<\/td>\n<td>98<\/td>\n<td>3.5<\/td>\n<td>544<\/td>\n<td>250<\/td>\n<td>\u20ac 500.00<\/td>\n<td>\u20ac 1,260.00<\/td>\n<\/tr>\n<tr>\n<td>GTX Titan X<\/td>\n<td>12<\/td>\n<td>1<\/td>\n<td>384<\/td>\n<td>1000<\/td>\n<td>3072<\/td>\n<td>3072<\/td>\n<td>6.7<\/td>\n<td><\/td>\n<td>1.8<\/td>\n<td>0<\/td>\n<td>250<\/td>\n<td>\u20ac 500.00<\/td>\n<td>\u20ac 700.00<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/thegioimaychu.vn\/leadtek-nvidia-quadro-rtx-4000-8gb-gddr6-pcie-3-0-tm6758.html\">Quadro RTX 4000<\/a><\/td>\n<td>8<\/td>\n<td>0.92<\/td>\n<td>416<\/td>\n<td>1005<\/td>\n<td>2304<\/td>\n<td>2130<\/td>\n<td>7.1<\/td>\n<td><\/td>\n<td>1.6<\/td>\n<td>288<\/td>\n<td>160<\/td>\n<td>\u20ac 320.00<\/td>\n<td>\u20ac 1,100.00<\/td>\n<\/tr>\n<tr>\n<td>Quadro P600<\/td>\n<td>4<\/td>\n<td>0.84<\/td>\n<td>82<\/td>\n<td>1266<\/td>\n<td>640<\/td>\n<td>680.6<\/td>\n<td>1.9<\/td>\n<td><\/td>\n<td>0.5<\/td>\n<td>0<\/td>\n<td>47<\/td>\n<td>\u20ac 94.00<\/td>\n<td>\u20ac 330.00<\/td>\n<\/tr>\n<tr>\n<td>Tesla K40<\/td>\n<td>12<\/td>\n<td>1<\/td>\n<td>288<\/td>\n<td>745<\/td>\n<td>2888<\/td>\n<td>2152<\/td>\n<td>4.3<\/td>\n<td><\/td>\n<td>1.2<\/td>\n<td>0<\/td>\n<td>245<\/td>\n<td>\u20ac 490.00<\/td>\n<td>\u20ac 1,200.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<h5>Gi\u1ea3i th\u00edch<\/h5>\n<table class=\"table sheet\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col span=\"2\" \/> <\/colgroup>\n<tbody>\n<tr>\n<td>VRAM<\/td>\n<td>Dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb GPU<\/td>\n<\/tr>\n<tr>\n<td>MEM PF<\/td>\n<td>Y\u1ebfu t\u1ed1 bottleneck \u0111\u01b0\u1ee3c t\u00ednh to\u00e1n cho dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb;\u00a0x\u00e1c \u0111\u1ecbnh qua th\u1ef1c nghi\u1ec7m.<\/td>\n<\/tr>\n<tr>\n<td>MEM SP<\/td>\n<td>T\u1ed1c \u0111\u1ed9 b\u1ed9 nh\u1edb t\u00ednh b\u1eb1ng GB \/ s<\/td>\n<\/tr>\n<tr>\n<td>MHZ<\/td>\n<td>T\u1ed1c \u0111\u1ed9 c\u01a1 s\u1edf c\u1ee7a chip<\/td>\n<\/tr>\n<tr>\n<td>CUDA<\/td>\n<td>S\u1ed1 l\u01b0\u1ee3ng l\u00f5i CUDA<\/td>\n<\/tr>\n<tr>\n<td>MHZ x CUDA<\/td>\n<td>Ch\u1ec9 b\u00e1o hi\u1ec7u su\u1ea5t 1: T\u1ed1c \u0111\u1ed9 c\u01a1 s\u1edf nh\u00e2n v\u1edbi s\u1ed1 CUDA cores nh\u00e2n v\u1edbi MEM PF v\u00e0 chia cho 1000<\/td>\n<\/tr>\n<tr>\n<td>TFLOPS FP32<\/td>\n<td>Ch\u1ec9 b\u00e1o hi\u1ec7u su\u1ea5t 2: Hi\u1ec7u su\u1ea5t Single-precision floating point<\/td>\n<\/tr>\n<tr>\n<td>BIZON-TECH<\/td>\n<td>Ch\u1ec9 s\u1ed1 hi\u1ec7u su\u1ea5t 3: Hi\u1ec7u su\u1ea5t c\u1ee7a TensorFlow 1.4 VGG16<\/td>\n<\/tr>\n<tr>\n<td>PERG-AGG<\/td>\n<td>Hi\u1ec7u su\u1ea5t t\u1ed5ng h\u1ee3p: trung b\u00ecnh c\u00f3 tr\u1ecdng s\u1ed1 c\u1ee7a ch\u1ec9 s\u1ed1 hi\u1ec7u su\u1ea5t 1 v\u00e0 2 (kh\u00f4ng bao g\u1ed3m 3 v\u00ec ch\u00fang l\u00e0 N\/A cho m\u1ed9t s\u1ed1 th\u1ebb)<\/td>\n<\/tr>\n<tr>\n<td>TCORES<\/td>\n<td>S\u1ed1 l\u01b0\u1ee3ng Tensor Cores<\/td>\n<\/tr>\n<tr>\n<td>ENERGY<\/td>\n<td>TDP \u01b0\u1edbc t\u00ednh c\u1ee7a vi\u1ec7c s\u1eed d\u1ee5ng n\u0103ng l\u01b0\u1ee3ng khi t\u1ea3i 100%<\/td>\n<\/tr>\n<tr>\n<td>ENPRICE<\/td>\n<td>D\u1ef1 to\u00e1n chi ph\u00ed ho\u1ea1t \u0111\u1ed9ng 100% m\u1ed7i n\u0103m<\/td>\n<\/tr>\n<tr>\n<td>PRICE<\/td>\n<td>Gi\u00e1 m\u1edbi hi\u1ec7n t\u1ea1i ho\u1eb7c gi\u00e1 \u0111\u00e3 qua s\u1eed d\u1ee5ng (EU)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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=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=22728\">Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh h\u00e0ng tr\u0103m t\u1ef7 tham s\u1ed1 ngay t\u1ea1i b\u00e0n v\u1edbi MSI EdgeXpert<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22612\">NVIDIA Merlin: T\u1ed5ng quan v\u1ec1 toolkit cho h\u1ec7 th\u1ed1ng g\u1ee3i \u00fd quy m\u00f4 l\u1edbn<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22376\">OpenAI l\u1ea7n \u0111\u1ea7u ph\u00e1t h\u00e0nh mi\u1ec5n ph\u00ed m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef m\u1edbi v\u1edbi t\u00ean g\u1ecdi l\u00e0 GPT-OSS<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22258\">NVIDIA hi\u1ec7n \u0111ang cung c\u1ea5p nh\u1eefng d\u00f2ng GPU n\u00e0o?<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=20284\">H\u01b0\u1edbng d\u1eabn l\u1ef1a ch\u1ecdn GPU ph\u00f9 h\u1ee3p cho AI, Machine Learning<\/a><\/li>\n<\/ul>\n<\/p>","protected":false},"excerpt":{"rendered":"<p>M&#7863;c d&ugrave; b&#7897; x&#7917; l&yacute; &#273;&#7891; h&#7885;a ban &#273;&#7847;u &#273;&#432;&#7907;c d&agrave;nh cho c&aacute;c game th&#7911;, nh&#432;ng c&aacute;c chuy&ecirc;n gia m&aacute;y t&iacute;nh &#273;&#7873;u th&#7915;a bi&#7871;t r&#7857;ng ch&uacute;ng c&#361;ng c&#7921;c k&#7923; c&oacute; gi&aacute; tr&#7883; trong c&aacute;c l&#297;nh v&#7921;c kh&aacute;c.&nbsp;Hi&#7879;n t&#7841;i, nh&#7919;ng ng&#432;&#7901;i khai th&aacute;c ti&#7873;n &#273;i&#7879;n t&#7917; &#273;ang b&#7855;t &#273;&#7847;u chuy&#7875;n sang ASIC, gi&aacute; c&#7843; v&agrave; th&#7883;&#8230;<\/p>\n","protected":false},"author":2,"featured_media":5839,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,1],"tags":[7,12,671],"class_list":["post-5830","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-tong-hop","tag-ai","tag-deep-learning","tag-gpu"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Tesla V100 v\u00e0 T4 - D\u00f2ng GPU chuy\u00ean d\u00f9ng trong Data Center - 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\/tesla-v100-va-t4-dong-gpu-chuyen-dung-trong-data-center-p5830\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Tesla V100 v\u00e0 T4 - D\u00f2ng GPU chuy\u00ean d\u00f9ng trong Data Center - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"M&#7863;c d&ugrave; b&#7897; x&#7917; l&yacute; &#273;&#7891; h&#7885;a ban &#273;&#7847;u &#273;&#432;&#7907;c d&agrave;nh cho c&aacute;c game th&#7911;, nh&#432;ng c&aacute;c chuy&ecirc;n gia m&aacute;y t&iacute;nh &#273;&#7873;u th&#7915;a bi&#7871;t r&#7857;ng ch&uacute;ng c&#361;ng c&#7921;c k&#7923; c&oacute; gi&aacute; tr&#7883; trong c&aacute;c l&#297;nh v&#7921;c kh&aacute;c.&nbsp;Hi&#7879;n t&#7841;i, nh&#7919;ng ng&#432;&#7901;i khai 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