{"id":4551,"date":"2020-02-27T08:21:15","date_gmt":"2020-02-27T08:21:15","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=4551"},"modified":"2020-02-28T09:08:06","modified_gmt":"2020-02-28T09:08:06","slug":"hieu-nang-cac-dong-gpu-nvidia-voi-cac-mo-hinh-deep-learning-hien-tai-nam-2020","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/tong-hop\/hieu-nang-cac-dong-gpu-nvidia-voi-cac-mo-hinh-deep-learning-hien-tai-nam-2020-p4551\/","title":{"rendered":"Hi\u1ec7u n\u0103ng c\u00e1c d\u00f2ng GPU NVidia v\u1edbi c\u00e1c m\u00f4 h\u00ecnh Deep Learning hi\u1ec7n t\u1ea1i n\u0103m 2020"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>C\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u (<a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">Deep Learning<\/a>) hi\u1ec7n \u0111\u1ea1i c\u00f3 memory footprint l\u1edbn.\u00a0Nhi\u1ec1u GPU kh\u00f4ng \u0111\u1ee7 VRAM \u0111\u1ec3 \u0111\u00e0o t\u1ea1o ch\u00fang.\u00a0Trong b\u00e0i n\u00e0y, ch\u00fang t\u00f4i x\u00e1c \u0111\u1ecbnh GPU n\u00e0o c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o c\u00e1c network ti\u00ean ti\u1ebfn nh\u1ea5t m\u00e0 kh\u00f4ng g\u00e2y ra l\u1ed7i b\u1ed9 nh\u1edb.\u00a0Ch\u00fang t\u00f4i c\u0169ng \u0111o \u0111i\u1ec3m benchmark hi\u1ec7u su\u1ea5t \u0111\u00e0o t\u1ea1o c\u1ee7a m\u1ed7i GPU.<\/p>\n<h2>T\u00f3m t\u1eaft<\/h2>\n<p>C\u00e1c GPU sau c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o t\u1ea5t c\u1ea3 c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef v\u00e0 h\u00ecnh \u1ea3nh hi\u1ec7n t\u1ea1i, k\u1ec3 t\u1eeb th\u00e1ng 2 n\u0103m 2020:<\/p>\n<ul>\n<li><strong>RTX 8000<\/strong>: 48 GB VRAM, ~$5,500.<\/li>\n<li><strong>RTX 6000<\/strong>: 24 GB VRAM, ~$4,000.<\/li>\n<li><strong>Titan RTX<\/strong>: 24 GB VRAM, ~$2,500.<\/li>\n<\/ul>\n<p>C\u00e1c GPU sau c\u00f3 th\u1ec3 \u0111\u00e0o t\u1ea1o h\u1ea7u h\u1ebft (nh\u01b0ng kh\u00f4ng ph\u1ea3i t\u1ea5t c\u1ea3) c\u00e1c m\u00f4 h\u00ecnh hi\u1ec7n t\u1ea1i:<\/p>\n<ul>\n<li><strong>RTX 2080 Ti<\/strong>: 11 GB VRAM, ~$1,150. *<\/li>\n<li><strong>GTX 1080 Ti<\/strong>: 11 GB VRAM, ~$800 refurbished. *<\/li>\n<li><strong>RTX 2080<\/strong>: 8 GB VRAM, ~$720. *<\/li>\n<li><strong>RTX 2070<\/strong>: 8 GB VRAM, ~$500. *<\/li>\n<\/ul>\n<p>GPU sau kh\u00f4ng ph\u00f9 h\u1ee3p \u0111\u1ec3 \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh hi\u1ec7n t\u1ea1i:<\/p>\n<ul>\n<li><strong>RTX 2060<\/strong>: VRAM 6 GB, ~ $ 359.<\/li>\n<\/ul>\n<p><em>* Vi\u1ec7c \u0111\u00e0o t\u1ea1o tr\u00ean c\u00e1c GPU n\u00e0y \u0111\u00f2i h\u1ecfi k\u00edch th\u01b0\u1edbc l\u00f4 nh\u1ecf, do \u0111\u00f3, \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a m\u00f4 h\u00ecnh th\u1ea5p h\u01a1n.<\/em><\/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<h2>M\u00f4 h\u00ecnh h\u00ecnh \u1ea3nh (Image model)<\/h2>\n<h4>K\u00edch th\u01b0\u1edbc l\u00f4 t\u1ed1i \u0111a tr\u01b0\u1edbc khi h\u1ebft b\u1ed9 nh\u1edb<\/h4>\n<table>\n<thead>\n<tr>\n<th>M\u00f4 h\u00ecnh \/ GPU<\/th>\n<th>2060<\/th>\n<th>2070<\/th>\n<th>2080<\/th>\n<th>1080 Ti<\/th>\n<th>2080 Ti<\/th>\n<th>Titan RTX<\/th>\n<th>RTX 6000<\/th>\n<th>RTX 8000<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>NasNet L\u1edbn<\/td>\n<td>4<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>32<\/td>\n<td>32<\/td>\n<td>64<\/td>\n<\/tr>\n<tr>\n<td>DeepLabv3<\/td>\n<td>2<\/td>\n<td>2<\/td>\n<td>2<\/td>\n<td>4<\/td>\n<td>4<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>16<\/td>\n<\/tr>\n<tr>\n<td>Yolo v3<\/td>\n<td>2<\/td>\n<td>4<\/td>\n<td>4<\/td>\n<td>4<\/td>\n<td>4<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>16<\/td>\n<\/tr>\n<tr>\n<td>Pix2Pix HD<\/td>\n<td>0 *<\/td>\n<td>0 *<\/td>\n<td>0 *<\/td>\n<td>0 *<\/td>\n<td>0 *<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>StyleGAN<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>4<\/td>\n<td>4<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>16<\/td>\n<\/tr>\n<tr>\n<td>MaskRCNN<\/td>\n<td>1<\/td>\n<td>2<\/td>\n<td>2<\/td>\n<td>2<\/td>\n<td>2<\/td>\n<td>s\u1ed1 8<\/td>\n<td>s\u1ed1 8<\/td>\n<td>16<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em>* GPU kh\u00f4ng c\u00f3 \u0111\u1ee7 b\u1ed9 nh\u1edb \u0111\u1ec3 ch\u1ea1y m\u00f4 h\u00ecnh.<\/em><\/p>\n<h4>Hi\u1ec7u su\u1ea5t, \u0111\u01b0\u1ee3c \u0111o b\u1eb1ng h\u00ecnh \u1ea3nh \u0111\u01b0\u1ee3c x\u1eed l\u00fd m\u1ed7i gi\u00e2y<\/h4>\n<table>\n<thead>\n<tr>\n<th>M\u00f4 h\u00ecnh \/ GPU<\/th>\n<th>2060<\/th>\n<th>2070<\/th>\n<th>2080<\/th>\n<th>1080 Ti<\/th>\n<th>2080 Ti<\/th>\n<th>Titan RTX<\/th>\n<th>RTX 6000<\/th>\n<th>RTX 8000<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>NasNet Large<\/td>\n<td>7.3<\/td>\n<td>9,2<\/td>\n<td>10.9<\/td>\n<td>10.1<\/td>\n<td>12.9<\/td>\n<td>16.3<\/td>\n<td>13,9<\/td>\n<td>15.6<\/td>\n<\/tr>\n<tr>\n<td>DeepLabv3<\/td>\n<td>4,4<\/td>\n<td>4,82<\/td>\n<td>5,8<\/td>\n<td>5,43<\/td>\n<td>7.6<\/td>\n<td>9,01<\/td>\n<td>8,02<\/td>\n<td>9,12<\/td>\n<\/tr>\n<tr>\n<td>Yolo v3<\/td>\n<td>7,8<\/td>\n<td>9,15<\/td>\n<td>11,08<\/td>\n<td>11,03<\/td>\n<td>14,12<\/td>\n<td>14,22<\/td>\n<td>12.8<\/td>\n<td>14,22<\/td>\n<\/tr>\n<tr>\n<td>Pix2Pix HD<\/td>\n<td>0,0 *<\/td>\n<td>0,0 *<\/td>\n<td>0,0 *<\/td>\n<td>0,0 *<\/td>\n<td>0,0 *<\/td>\n<td>0,73<\/td>\n<td>0,71<\/td>\n<td>0,71<\/td>\n<\/tr>\n<tr>\n<td>StyleGAN<\/td>\n<td>1,92<\/td>\n<td>2,25<\/td>\n<td>2.6<\/td>\n<td>2,97<\/td>\n<td>4,22<\/td>\n<td>4,94<\/td>\n<td>4,25<\/td>\n<td>4,96<\/td>\n<\/tr>\n<tr>\n<td>MaskRCNN<\/td>\n<td>2,85<\/td>\n<td>3,33<\/td>\n<td>4.36<\/td>\n<td>4,42<\/td>\n<td>5.22<\/td>\n<td>6,3<\/td>\n<td>5,54<\/td>\n<td>5,84<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em>* GPU kh\u00f4ng c\u00f3 \u0111\u1ee7 b\u1ed9 nh\u1edb \u0111\u1ec3 ch\u1ea1y m\u00f4 h\u00ecnh.<\/em><\/p>\n<h2>M\u00f4 h\u00ecnh ng\u00f4n ng\u1eef (Language model)<\/h2>\n<h4>K\u00edch th\u01b0\u1edbc l\u00f4 t\u1ed1i \u0111a tr\u01b0\u1edbc khi h\u1ebft b\u1ed9 nh\u1edb<\/h4>\n<table>\n<thead>\n<tr>\n<th>M\u00f4 h\u00ecnh \/ GPU<\/th>\n<th>\u0110\u01a1n v\u1ecb<\/th>\n<th>2060<\/th>\n<th>2070<\/th>\n<th>2080<\/th>\n<th>1080 Ti<\/th>\n<th>2080 Ti<\/th>\n<th>Titan RTX<\/th>\n<th>RTX 6000<\/th>\n<th>RTX 8000<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Transformer Big<\/td>\n<td>Token<\/td>\n<td>0 *<\/td>\n<td>2000<\/td>\n<td>2000<\/td>\n<td>4000<\/td>\n<td>4000<\/td>\n<td>8000<\/td>\n<td>8000<\/td>\n<td>16000<\/td>\n<\/tr>\n<tr>\n<td>Conv.\u00a0Seq2Seq<\/td>\n<td>Token<\/td>\n<td>0 *<\/td>\n<td>2000<\/td>\n<td>2000<\/td>\n<td>3584<\/td>\n<td>3584<\/td>\n<td>8000<\/td>\n<td>8000<\/td>\n<td>16000<\/td>\n<\/tr>\n<tr>\n<td>unsupMT<\/td>\n<td>Token<\/td>\n<td>0 *<\/td>\n<td>500<\/td>\n<td>500<\/td>\n<td>1000<\/td>\n<td>1000<\/td>\n<td>4000<\/td>\n<td>4000<\/td>\n<td>8000<\/td>\n<\/tr>\n<tr>\n<td>C\u01a1 s\u1edf BERT<\/td>\n<td>Sequence<\/td>\n<td>s\u1ed1 8<\/td>\n<td>16<\/td>\n<td>16<\/td>\n<td>32<\/td>\n<td>32<\/td>\n<td>64<\/td>\n<td>64<\/td>\n<td>128<\/td>\n<\/tr>\n<tr>\n<td>BERT Finetune<\/td>\n<td>Sequence<\/td>\n<td>1<\/td>\n<td>6<\/td>\n<td>6<\/td>\n<td>6<\/td>\n<td>6<\/td>\n<td>24<\/td>\n<td>24<\/td>\n<td>48<\/td>\n<\/tr>\n<tr>\n<td>MT-DNN<\/td>\n<td>Sequence<\/td>\n<td>0 *<\/td>\n<td>1<\/td>\n<td>1<\/td>\n<td>2<\/td>\n<td>2<\/td>\n<td>4<\/td>\n<td>4<\/td>\n<td>s\u1ed1 8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em>* GPU kh\u00f4ng c\u00f3 \u0111\u1ee7 b\u1ed9 nh\u1edb \u0111\u1ec3 ch\u1ea1y m\u00f4 h\u00ecnh.<\/em><\/p>\n<h4>Hi\u1ec7u su\u1ea5t<\/h4>\n<table>\n<thead>\n<tr>\n<th>M\u00f4 h\u00ecnh \/ GPU<\/th>\n<th>C\u00e1c \u0111\u01a1n v\u1ecb<\/th>\n<th>2060<\/th>\n<th>2070<\/th>\n<th>2080<\/th>\n<th>1080 Ti<\/th>\n<th>2080 Ti<\/th>\n<th>Titan RTX<\/th>\n<th>RTX 6000<\/th>\n<th>RTX 8000<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Transformer Big<\/td>\n<td>Words\/sec<\/td>\n<td>0 *<\/td>\n<td>4597<\/td>\n<td>6317<\/td>\n<td>6207<\/td>\n<td>7780<\/td>\n<td>8498<\/td>\n<td>7407<\/td>\n<td>7507<\/td>\n<\/tr>\n<tr>\n<td>Conv.\u00a0Seq2Seq<\/td>\n<td>Words\/sec<\/td>\n<td>0 *<\/td>\n<td>7721<\/td>\n<td>9950<\/td>\n<td>5870<\/td>\n<td>15671<\/td>\n<td>21180<\/td>\n<td>20500<\/td>\n<td>22450<\/td>\n<\/tr>\n<tr>\n<td>unsupMT<\/td>\n<td>Words\/sec<\/td>\n<td>0 *<\/td>\n<td>1010<\/td>\n<td>1212<\/td>\n<td>1824<\/td>\n<td>2025<\/td>\n<td>3850<\/td>\n<td>3725<\/td>\n<td>3735<\/td>\n<\/tr>\n<tr>\n<td>BERT Base<\/td>\n<td>Ex.\/sec<\/td>\n<td>34<\/td>\n<td>47<\/td>\n<td>58<\/td>\n<td>60<\/td>\n<td>83<\/td>\n<td>102<\/td>\n<td>98<\/td>\n<td>94<\/td>\n<\/tr>\n<tr>\n<td>BERT Finetue<\/td>\n<td>Ex.\/sec<\/td>\n<td>7<\/td>\n<td>15<\/td>\n<td>18<\/td>\n<td>17<\/td>\n<td>22<\/td>\n<td>30<\/td>\n<td>29<\/td>\n<td>27<\/td>\n<\/tr>\n<tr>\n<td>MT-DNN<\/td>\n<td>Ex.\/sec<\/td>\n<td>0 *<\/td>\n<td>3<\/td>\n<td>4<\/td>\n<td>s\u1ed1 8<\/td>\n<td>9<\/td>\n<td>18<\/td>\n<td>18<\/td>\n<td>28<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>*\u00a0<em>GPU kh\u00f4ng c\u00f3 \u0111\u1ee7 b\u1ed9 nh\u1edb \u0111\u1ec3 ch\u1ea1y m\u00f4 h\u00ecnh.<\/em><\/p>\n<h2>K\u1ebft qu\u1ea3 \u0111\u01b0\u1ee3c chu\u1ea9n h\u00f3a b\u1edfi Quadro RTX 8000<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/02\/tgmc-blog-5e577b97b2a26.png\" alt=\"\" \/><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/02\/tgmc-blog-5e577b9b0d203.png\" alt=\"\" \/><strong>H\u00ecnh 2. Th\u00f4ng l\u01b0\u1ee3ng \u0111\u00e0o t\u1ea1o \u0111\u01b0\u1ee3c chu\u1ea9n h\u00f3a theo Quadro RTX 8000. Tr\u00e1i: Image model.\u00a0Ph\u1ea3i: Language model.<\/strong><\/p>\n<h1>K\u1ebft lu\u1eadn<\/h1>\n<ul>\n<li>C\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef \u0111\u01b0\u1ee3c h\u01b0\u1edfng l\u1ee3i nhi\u1ec1u h\u01a1n t\u1eeb b\u1ed9 nh\u1edb GPU l\u1edbn h\u01a1n c\u00e1c m\u00f4 h\u00ecnh h\u00ecnh \u1ea3nh.\u00a0L\u01b0u \u00fd c\u00e1ch s\u01a1 \u0111\u1ed3 b\u00ean ph\u1ea3i d\u1ed1c h\u01a1n b\u00ean tr\u00e1i.\u00a0\u0110i\u1ec1u n\u00e0y ch\u1ec9 ra r\u1eb1ng c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef b\u1ecb r\u00e0ng bu\u1ed9c nhi\u1ec1u b\u1ed9 nh\u1edb h\u01a1n v\u00e0 c\u00e1c m\u00f4 h\u00ecnh h\u00ecnh \u1ea3nh b\u1ecb gi\u1edbi h\u1ea1n t\u00ednh to\u00e1n nhi\u1ec1u h\u01a1n.<\/li>\n<li>GPU c\u00f3 VRAM cao h\u01a1n c\u00f3 hi\u1ec7u su\u1ea5t t\u1ed1t h\u01a1n v\u00ec s\u1eed d\u1ee5ng k\u00edch th\u01b0\u1edbc l\u00f4 l\u1edbn h\u01a1n gi\u00fap b\u00e3o h\u00f2a c\u00e1c l\u00f5i CUDA.<\/li>\n<li>GPU c\u00f3 VRAM cao h\u01a1n cho ph\u00e9p k\u00edch th\u01b0\u1edbc l\u00f4 l\u1edbn h\u01a1n t\u01b0\u01a1ng \u1ee9ng.\u00a0T\u00ednh to\u00e1n ng\u01b0\u1ee3c phong b\u00ec mang l\u1ea1i k\u1ebft qu\u1ea3 h\u1ee3p l\u00fd: GPU c\u00f3 VRAM 24 GB c\u00f3 th\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi l\u00f4 l\u1edbn h\u01a1n ~ 3x so v\u1edbi GPU c\u00f3 8 GB VRAM.<\/li>\n<li>C\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef chi\u1ebfm b\u1ed9 nh\u1edb kh\u00f4ng c\u00e2n x\u1ee9ng cho c\u00e1c chu\u1ed7i d\u00e0i v\u00ec s\u1ef1 ch\u00fa \u00fd l\u00e0 b\u1eadc hai \u0111\u1ed1i v\u1edbi \u0111\u1ed9 d\u00e0i chu\u1ed7i.<\/li>\n<\/ul>\n<h1>Khuy\u1ebfn ngh\u1ecb v\u1ec1 GPU<\/h1>\n<ul>\n<li><strong>RTX 2060 (6 GB):<\/strong>\u00a0n\u1ebfu b\u1ea1n mu\u1ed1n kh\u00e1m ph\u00e1 vi\u1ec7c h\u1ecdc s\u00e2u trong th\u1eddi gian r\u1ea3nh r\u1ed7i.<\/li>\n<li><strong>RTX 2070 ho\u1eb7c 2080 (8 GB):<\/strong>\u00a0n\u1ebfu b\u1ea1n nghi\u00eam t\u00fac v\u1ec1 vi\u1ec7c h\u1ecdc s\u00e2u, nh\u01b0ng ng\u00e2n s\u00e1ch GPU c\u1ee7a b\u1ea1n l\u00e0 600-800 \u0111\u00f4 la.\u00a0T\u00e1m GB VRAM c\u00f3 th\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi ph\u1ea7n l\u1edbn c\u00e1c m\u00f4 h\u00ecnh.<\/li>\n<li><strong>RTX 2080 Ti (11 GB):<\/strong>\u00a0n\u1ebfu b\u1ea1n nghi\u00eam t\u00fac v\u1ec1 vi\u1ec7c h\u1ecdc s\u00e2u v\u00e0 ng\u00e2n s\u00e1ch GPU c\u1ee7a b\u1ea1n l\u00e0 ~ 1.200 \u0111\u00f4 la.\u00a0RTX 2080 Ti nhanh h\u01a1n ~ 40% so v\u1edbi RTX 2080.<\/li>\n<li><strong>Titan RTX v\u00e0 Quadro RTX 6000 (24 GB):<\/strong>\u00a0n\u1ebfu b\u1ea1n \u0111ang l\u00e0m vi\u1ec7c tr\u00ean c\u00e1c m\u00f4 h\u00ecnh SOTA r\u1ed9ng r\u00e3i, nh\u01b0ng kh\u00f4ng c\u00f3 ng\u00e2n s\u00e1ch cho vi\u1ec7c ch\u1ee9ng minh trong t\u01b0\u01a1ng lai c\u00f3 s\u1eb5n v\u1edbi RTX 8000.<\/li>\n<li><strong>Quadro RTX 8000 (48 GB):<\/strong>\u00a0b\u1ea1n \u0111ang \u0111\u1ea7u t\u01b0 v\u00e0o t\u01b0\u01a1ng lai v\u00e0 th\u1eadm ch\u00ed c\u00f3 th\u1ec3 \u0111\u1ee7 may m\u1eafn \u0111\u1ec3 nghi\u00ean c\u1ee9u h\u1ecdc t\u1eadp s\u00e2u SOTA v\u00e0o n\u0103m 2020.<\/li>\n<\/ul>\n<h2>Ch\u00fa th\u00edch<\/h2>\n<h4>Image Models<\/h4>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>Task<\/th>\n<th>Dataset<\/th>\n<th>Image Size<\/th>\n<th>Repo<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>NasNet Large<\/td>\n<td>Image Classification<\/td>\n<td>ImageNet<\/td>\n<td>331&#215;331<\/td>\n<td><a href=\"https:\/\/github.com\/tensorflow\/benchmarks\">Github<\/a><\/td>\n<\/tr>\n<tr>\n<td>DeepLabv3<\/td>\n<td>Image Segmentation<\/td>\n<td>PASCAL VOC<\/td>\n<td>513&#215;513<\/td>\n<td><a href=\"https:\/\/github.com\/tensorflow\/models\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>Yolo v3<\/td>\n<td>Object Detection<\/td>\n<td>MSCOCO<\/td>\n<td>608&#215;608<\/td>\n<td><a href=\"https:\/\/github.com\/pjreddie\/darknet\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>Pix2Pix HD<\/td>\n<td>Image Stylization<\/td>\n<td>CityScape<\/td>\n<td>2048&#215;1024<\/td>\n<td><a href=\"https:\/\/github.com\/NVIDIA\/pix2pixHD\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>StyleGAN<\/td>\n<td>Image Generation<\/td>\n<td>FFHQ<\/td>\n<td>1024&#215;1024<\/td>\n<td><a href=\"https:\/\/github.com\/NVlabs\/stylegan\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>MaskRCNN<\/td>\n<td>Instance Segmentation<\/td>\n<td>MSCOCO<\/td>\n<td>800&#215;1333<\/td>\n<td><a href=\"https:\/\/github.com\/facebookresearch\/maskrcnn-benchmark\">GitHub<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>Language Models<\/h4>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>Task<\/th>\n<th>Dataset<\/th>\n<th>Repo<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Transformer Big<\/td>\n<td>Supervised machine translation<\/td>\n<td>WMT16_en_de<\/td>\n<td><a href=\"https:\/\/github.com\/pytorch\/fairseq\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>Conv. Seq2Seq<\/td>\n<td>Supervised machine translation<\/td>\n<td>WMT14_en_de<\/td>\n<td><a href=\"https:\/\/github.com\/pytorch\/fairseq\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>unsupMT<\/td>\n<td>Unsupervised machine translation<\/td>\n<td>NewsCrawl<\/td>\n<td><a href=\"https:\/\/github.com\/facebookresearch\/XLM\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>BERT Base<\/td>\n<td>Language modeling<\/td>\n<td>enwik8<\/td>\n<td><a href=\"https:\/\/github.com\/google-research\/bert\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>BERT Finetune<\/td>\n<td>Question and answer<\/td>\n<td>SQUAD 1.1<\/td>\n<td><a href=\"https:\/\/github.com\/google-research\/bert\">GitHub<\/a><\/td>\n<\/tr>\n<tr>\n<td>MT-DNN<\/td>\n<td>GLUE<\/td>\n<td>GLUE<\/td>\n<td><a href=\"https:\/\/github.com\/namisan\/mt-dnn\">GitHub<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/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>C&aacute;c m&ocirc; h&igrave;nh h&#7885;c s&acirc;u (Deep Learning) hi&#7879;n &#273;&#7841;i c&oacute; memory footprint l&#7899;n.&nbsp;Nhi&#7873;u GPU kh&ocirc;ng &#273;&#7911; VRAM &#273;&#7875; &#273;&agrave;o t&#7841;o ch&uacute;ng.&nbsp;Trong b&agrave;i n&agrave;y, ch&uacute;ng t&ocirc;i x&aacute;c &#273;&#7883;nh GPU n&agrave;o c&oacute; th&#7875; &#273;&agrave;o t&#7841;o c&aacute;c network ti&ecirc;n ti&#7871;n nh&#7845;t m&agrave; kh&ocirc;ng g&acirc;y ra l&#7895;i b&#7897; nh&#7899;.&nbsp;Ch&uacute;ng t&ocirc;i c&#361;ng &#273;o &#273;i&#7875;m benchmark hi&#7879;u su&#7845;t &#273;&agrave;o t&#7841;o c&#7911;a&#8230;<\/p>\n","protected":false},"author":2,"featured_media":4555,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[7,12,671,1314],"class_list":["post-4551","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tong-hop","tag-ai","tag-deep-learning","tag-gpu","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Hi\u1ec7u n\u0103ng c\u00e1c d\u00f2ng GPU NVidia v\u1edbi c\u00e1c m\u00f4 h\u00ecnh Deep Learning hi\u1ec7n t\u1ea1i n\u0103m 2020 - 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\/hieu-nang-cac-dong-gpu-nvidia-voi-cac-mo-hinh-deep-learning-hien-tai-nam-2020-p4551\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Hi\u1ec7u n\u0103ng c\u00e1c d\u00f2ng GPU NVidia v\u1edbi c\u00e1c m\u00f4 h\u00ecnh Deep Learning hi\u1ec7n t\u1ea1i n\u0103m 2020 - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"C&aacute;c m&ocirc; h&igrave;nh h&#7885;c s&acirc;u (Deep Learning) hi&#7879;n &#273;&#7841;i c&oacute; memory footprint l&#7899;n.&nbsp;Nhi&#7873;u GPU kh&ocirc;ng &#273;&#7911; VRAM &#273;&#7875; &#273;&agrave;o t&#7841;o ch&uacute;ng.&nbsp;Trong b&agrave;i n&agrave;y, ch&uacute;ng t&ocirc;i x&aacute;c &#273;&#7883;nh GPU n&agrave;o c&oacute; th&#7875; &#273;&agrave;o t&#7841;o c&aacute;c network ti&ecirc;n ti&#7871;n nh&#7845;t m&agrave; kh&ocirc;ng g&acirc;y ra l&#7895;i b&#7897; 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