{"id":13149,"date":"2022-07-10T13:00:50","date_gmt":"2022-07-10T06:00:50","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=13149"},"modified":"2022-07-13T09:49:38","modified_gmt":"2022-07-13T02:49:38","slug":"bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-tac","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/tong-hop\/bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-tac-p13149\/","title":{"rendered":"B\u00e1o c\u00e1o MLPerf v\u1ec1 Hi\u1ec7u su\u1ea5t v\u00e0 T\u00ednh linh ho\u1ea1t cao c\u1ee7a AI t\u1eeb NVIDIA v\u00e0 c\u00e1c \u0110\u1ed1i t\u00e1c"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><div class=\"nvb4-subtitle\">\n<div class=\"nvb4-subtitle-inner\">NVIDIA c\u00f9ng v\u1edbi c\u00e1c \u0111\u1ed1i t\u00e1c c\u1ee7a h\u00e3ng ti\u1ebfp t\u1ee5c mang \u0111\u1ebfn m\u1ee9c hi\u1ec7u su\u1ea5t \u0111\u00e0o t\u1ea1o AI t\u1ed5ng th\u1ec3 t\u1ed1t nh\u1ea5t v\u00e0 c\u00f3 nhi\u1ec1u report nh\u1ea5t tr\u00ean t\u1ea5t c\u1ea3 c\u00e1c \u0111i\u1ec3m chu\u1ea9n (benchmark) v\u1edbi 90% c\u00e1c m\u1ee5c \u0111\u1ebfn t\u1eeb h\u1ec7 sinh th\u00e1i cho AI, \u0111\u01b0\u1ee3c t\u00ednh theo \u0111i\u1ec3m chu\u1ea9n MLPerf v\u00e0 v\u1eeba m\u1edbi ch\u00ednh th\u1ee9c \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 g\u1ea7n \u0111\u00e2y.<\/div>\n<\/div>\n<div><\/div>\n<div class=\"nvb4-subtitle\">\n<div>N\u1ec1n t\u1ea3ng NVIDIA AI c\u00f3 t\u1ea5t c\u1ea3 t\u00e1m \u0111i\u1ec3m chu\u1ea9n \u1edf m\u1ee5c MLPerf Training 2.0, l\u00e0m n\u1ed5i b\u1eadt t\u00ednh linh ho\u1ea1t h\u00e0ng \u0111\u1ea7u c\u1ee7a n\u00f3. GPU A100 ti\u1ebfp t\u1ee5c \u0111\u1ea3m b\u1ea3o chi\u1ebfn th\u1eafng cao nh\u1ea5t khi NVIDIA AI v\u1eabn l\u00e0 n\u1ec1n t\u1ea3ng duy nh\u1ea5t c\u00f3 th\u1ec3 ch\u1ea1y \u0111\u01b0\u1ee3c t\u1ea5t c\u1ea3 c\u00e1c b\u00e0i ki\u1ec3m tra trong c\u00e1c ti\u00eau chu\u1ea9n c\u1ee7a ng\u00e0nh MLPerf.<\/div>\n<\/div>\n<div class=\"nvb4-subtitle\">\n<div><\/div>\n<div class=\"nvb4-subtitle-inner\">V\u00e0 kh\u00f4ng c\u00f3 b\u1ed9 t\u0103ng t\u1ed1c n\u00e0o ch\u1ea1y t\u1ea5t c\u1ea3 c\u00e1c \u0111i\u1ec3m benchmark, \u0111\u1ea1i di\u1ec7n cho c\u00e1c tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng AI ph\u1ed5 bi\u1ebfn bao g\u1ed3m nh\u1eadn d\u1ea1ng gi\u1ecdng n\u00f3i, x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, h\u1ec7 th\u1ed1ng \u0111\u1ec1 xu\u1ea5t, ph\u00e1t hi\u1ec7n \u0111\u1ed1i t\u01b0\u1ee3ng, ph\u00e2n lo\u1ea1i h\u00ecnh \u1ea3nh v\u00e0 h\u01a1n th\u1ebf n\u1eefa. NVIDIA \u0111\u00e3 l\u00e0m nh\u01b0 v\u1eady m\u1ed9t c\u00e1ch nh\u1ea5t qu\u00e1n k\u1ec3 t\u1eeb khi \u0111\u1ec7 tr\u00ecnh v\u00e0o th\u00e1ng 12 n\u0103m 2018 cho l\u1ea7n \u0111\u1ea7u ti\u00ean c\u1ee7a MLPerf, m\u1ed9t b\u1ed9 ti\u00eau chu\u1ea9n c\u00f4ng nghi\u1ec7p g\u1ed3m c\u00e1c \u0111i\u1ec3m chu\u1ea9n AI.<\/div>\n<div><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/tgmc-blog-62c8f9421e671.jpg\" alt=\"NVIDIA Tensor Core GPUs\" \/><\/div>\n<div><\/div>\n<div>\n<h2><b>T\u00ednh kh\u1ea3 d\u1ee5ng v\u00e0\u00a0<\/b><b>k\u1ebft qu\u1ea3 \u0111i\u1ec3m chu\u1ea9n h\u00e0ng \u0111\u1ea7u<\/b><\/h2>\n<p>Trong l\u1ea7n \u0111\u1ec7 tr\u00ecnh \u0110\u00e0o t\u1ea1o MLPerf th\u1ee9 t\u01b0 li\u00ean ti\u1ebfp, GPU NVIDIA A100 Tensor Core d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac NVIDIA Ampere ti\u1ebfp t\u1ee5c n\u1ed5i tr\u1ed9i.<\/p>\n<figure id=\"attachment_58093\" class=\"wp-caption aligncenter\" aria-describedby=\"caption-attachment-58093\"><picture class=\"wp-image-58093 size-full\"><source srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7.png.webp 1024w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7-400x225.png.webp 400w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7-672x378.png.webp 672w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7-768x432.png.webp 768w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7-800x450.png.webp 800w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7-382x215.png.webp 382w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide7-178x100.png.webp 178w\" type=\"image\/webp\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/tgmc-blog-62c5467f2d43c.png\" alt=\"\" \/><\/picture><figcaption id=\"caption-attachment-58093\" class=\"wp-caption-text\">Fastest time to train on each network by each submitter\u2019s platform | Format: Chip count, Submitter, MLPerf-ID | RNN-T: 1536x NVIDIA 2.0-2104 | BERT: 4096x NVIDIA 2.0-2106, 4096x Google 2.0-2012, 256x Graphcore 2.0-2053, 8x Intel-HabanaLabs 2.0-2073 | RN-50: 4216x NVIDIA 2.0-2107, 4096x Google 2.0-2012, 256x Graphcore 2.0-2054, 8x Intel-HabanaLabs 2.0-2073 | 3D U-Net: 768x NVIDIA 2.0-2100 | RetinaNet: 1280x NVIDIA 2.0-2103, 2048x Google 2.0-2010 | Mask R-CNN: 384x NVIDIA 2.0-2099, 2048x Google 2.0-2010 | MiniGo: 1792x NVIDIA 2.0-2105 | DLRM: 112x NVIDIA 2.0-2098<\/figcaption><\/figure>\n<p>Selene &#8211; si\u00eau m\u00e1y t\u00ednh AI n\u1ed9i b\u1ed9 c\u1ee7a ch\u00fang t\u00f4i d\u1ef1a tr\u00ean NVIDIA DGX SuperPOD m\u00f4-\u0111un v\u00e0 \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi GPU NVIDIA A100, ng\u0103n x\u1ebfp ph\u1ea7n m\u1ec1m NVIDIA Stack v\u00e0 m\u1ea1ng NVIDIA InfiniBand &#8211; \u0111\u00e3 xu\u1ea5t hi\u1ec7n trong th\u1eddi gian nhanh nh\u1ea5t \u0111\u1ec3 \u0111\u00e0o t\u1ea1o b\u1ed1n trong s\u1ed1 t\u00e1m b\u00e0i ki\u1ec3m tra.<\/p>\n<figure id=\"attachment_58096\" class=\"wp-caption aligncenter\" aria-describedby=\"caption-attachment-58096\"><picture class=\"wp-image-58096 size-full\"><source srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8.png.webp 1024w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8-400x225.png.webp 400w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8-672x378.png.webp 672w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8-768x432.png.webp 768w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8-800x450.png.webp 800w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8-382x215.png.webp 382w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide8-178x100.png.webp 178w\" type=\"image\/webp\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/tgmc-blog-62c546802944c.png\" alt=\"\" \/><\/picture><figcaption id=\"caption-attachment-58096\" class=\"wp-caption-text\">Per-chip performance is not a primary metric of MLPerf\u2122 Training. To calculate per-chip performance, this chart normalizes every submission to the closest scale of the fastest competitor. The fastest competitors are shown with 1x. To determine the fastest competitor, we selected the scale common to most submitters.| Format: Chip count, Submitter, MLPerf-ID | ResNet-50: 8x Inspur 2.0-2069, 3456x Google 2.0-2011, 16x Graphcore 2.0-2047, 8x Intel-HabanaLabs 2.0-2073 | BERT: 8x Inspur 2.0-2070, 3456x Google 2.0-2011, 16x Graphcore 2.0-2045, 8x Intel-HabanaLabs 2.0-2073 | DLRM: 8x Inspur 2.0-2068 | Mask R-CNN: 384x NVIDIA 2.0-2099, 1024x Google 2.0-2009 | RetinaNet: 1280x NVIDIA 2.0-2103, 2048x Google 2.0-2010 | RNN-T 8x Inspur 2.0-2066 | 3D-UNet: 8x H3C 2.0-2060,| MiniGo: 8x H3C 2.0-2059<\/figcaption><\/figure>\n<p>NVIDIA A100 c\u0169ng ti\u1ebfp t\u1ee5c d\u1eabn \u0111\u1ea7u tr\u00ean m\u1ed7i chip, ch\u1ee9ng t\u1ecf t\u1ed1c \u0111\u1ed9 nhanh nh\u1ea5t trong s\u00e1u trong s\u1ed1 t\u00e1m b\u00e0i ki\u1ec3m tra. T\u1ed5ng c\u1ed9ng c\u00f3 16 \u0111\u1ed1i t\u00e1c \u0111\u00e3 g\u1eedi k\u1ebft qu\u1ea3 trong v\u00f2ng n\u00e0y b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng n\u1ec1n t\u1ea3ng NVIDIA AI. Ch\u00fang bao g\u1ed3m <a class=\"iblink\" href=\"\/asus\/\">ASUS<\/a>, Baidu, CASIA (Vi\u1ec7n T\u1ef1 \u0111\u1ed9ng h\u00f3a, Vi\u1ec7n Khoa h\u1ecdc Trung Qu\u1ed1c), Dell Technologies, Fujitsu, GIGABYTE, H3C, Hewlett Packard Enterprise, Inspur, KRAI, Lenovo, Microsoft Azure, MosaicML, Nettrix v\u00e0 <a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a>.<\/p>\n<p>H\u1ea7u h\u1ebft c\u00e1c \u0111\u1ed1i t\u00e1c OEM c\u1ee7a NVIDIA \u0111\u00e3 g\u1eedi k\u1ebft qu\u1ea3 b\u1eb1ng H\u1ec7 th\u1ed1ng \u0111\u01b0\u1ee3c ch\u1ee9ng nh\u1eadn c\u1ee7a NVIDIA, c\u00e1c m\u00e1y ch\u1ee7 \u0111\u01b0\u1ee3c x\u00e1c nh\u1eadn b\u1edfi NVIDIA \u0111\u1ec3 cung c\u1ea5p hi\u1ec7u su\u1ea5t tuy\u1ec7t v\u1eddi, kh\u1ea3 n\u0103ng qu\u1ea3n l\u00fd, b\u1ea3o m\u1eadt v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng cho vi\u1ec7c tri\u1ec3n khai doanh nghi\u1ec7p.<\/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><b>Nhi\u1ec1u m\u00f4 h\u00ecnh cung c\u1ea5p s\u1ee9c m\u1ea1nh th\u1ef1c s\u1ef1 cho c\u00e1c \u1ee9ng d\u1ee5ng AI <\/b><\/h2>\n<p>M\u1ed9t \u1ee9ng d\u1ee5ng AI c\u00f3 th\u1ec3 c\u1ea7n hi\u1ec3u y\u00eau c\u1ea7u b\u1eb1ng gi\u1ecdng n\u00f3i c\u1ee7a ng\u01b0\u1eddi d\u00f9ng, ph\u00e2n lo\u1ea1i h\u00ecnh \u1ea3nh, \u0111\u01b0a ra \u0111\u1ec1 xu\u1ea5t v\u00e0 g\u1eedi ph\u1ea3n h\u1ed3i d\u01b0\u1edbi d\u1ea1ng tin nh\u1eafn n\u00f3i.<\/p>\n<figure id=\"attachment_57976\" class=\"wp-caption alignnone\" aria-describedby=\"caption-attachment-57976\"><picture class=\"wp-image-57976 size-large\"><source srcset=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13-672x378.jpg.webp 672w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13-400x225.jpg.webp 400w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13-768x432.jpg.webp 768w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13-800x450.jpg.webp 800w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13-382x215.jpg.webp 382w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13-178x100.jpg.webp 178w, https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Slide13.jpg.webp 1152w\" type=\"image\/webp\" sizes=\"(max-width: 672px) 100vw, 672px\" \/><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/tgmc-blog-62c54681015ed.jpg\" alt=\"\" \/><\/picture><figcaption id=\"caption-attachment-57976\" class=\"wp-caption-text\">Ngay c\u1ea3 tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng \u0111\u01a1n gi\u1ea3n \u1edf tr\u00ean c\u0169ng y\u00eau c\u1ea7u g\u1ea7n 10 m\u00f4 h\u00ecnh, l\u00e0m n\u1ed5i b\u1eadt t\u1ea7m quan tr\u1ecdng c\u1ee7a vi\u1ec7c ch\u1ea1y m\u1ecdi \u0111i\u1ec3m chu\u1ea9n<\/figcaption><\/figure>\n<p>C\u00e1c t\u00e1c v\u1ee5 n\u00e0y y\u00eau c\u1ea7u nhi\u1ec1u lo\u1ea1i m\u00f4 h\u00ecnh AI ho\u1ea1t \u0111\u1ed9ng theo tr\u00ecnh t\u1ef1, c\u00f2n \u0111\u01b0\u1ee3c g\u1ecdi l\u00e0 \u0111\u01b0\u1eddng \u1ed1ng. Ng\u01b0\u1eddi d\u00f9ng c\u1ea7n thi\u1ebft k\u1ebf, \u0111\u00e0o t\u1ea1o, tri\u1ec3n khai v\u00e0 t\u1ed1i \u01b0u h\u00f3a c\u00e1c m\u00f4 h\u00ecnh n\u00e0y m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 linh ho\u1ea1t.<\/p>\n<p>\u0110\u00f3 l\u00e0 l\u00fd do t\u1ea1i sao c\u1ea3 t\u00ednh linh ho\u1ea1t &#8211; kh\u1ea3 n\u0103ng ch\u1ea1y m\u1ecdi m\u00f4 h\u00ecnh trong MLPerf v\u00e0 h\u01a1n th\u1ebf n\u1eefa &#8211; c\u0169ng nh\u01b0 hi\u1ec7u su\u1ea5t h\u00e0ng \u0111\u1ea7u \u0111\u1ec1u r\u1ea5t quan tr\u1ecdng \u0111\u1ec3 \u0111\u01b0a AI trong th\u1ebf gi\u1edbi th\u1ef1c v\u00e0o s\u1ea3n xu\u1ea5t.<\/p>\n<h2><b>Cung c\u1ea5p ROI v\u1edbi AI<\/b><\/h2>\n<p>\u0110\u1ed1i v\u1edbi kh\u00e1ch h\u00e0ng, nh\u00f3m k\u1ef9 thu\u1eadt v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u l\u00e0 t\u00e0i nguy\u00ean qu\u00fd gi\u00e1 nh\u1ea5t c\u1ee7a h\u1ecd v\u00e0 n\u0103ng su\u1ea5t c\u1ee7a h\u1ecd quy\u1ebft \u0111\u1ecbnh l\u1ee3i t\u1ee9c \u0111\u1ea7u t\u01b0 cho c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI. Kh\u00e1ch h\u00e0ng ph\u1ea3i xem x\u00e9t chi ph\u00ed c\u1ee7a c\u00e1c nh\u00f3m khoa h\u1ecdc d\u1eef li\u1ec7u \u0111\u1eaft \u0111\u1ecf, v\u1ed1n th\u01b0\u1eddng \u0111\u00f3ng m\u1ed9t ph\u1ea7n \u0111\u00e1ng k\u1ec3 trong t\u1ed5ng chi ph\u00ed tri\u1ec3n khai AI, c\u0169ng nh\u01b0 chi ph\u00ed t\u01b0\u01a1ng \u0111\u1ed1i nh\u1ecf cho vi\u1ec7c tri\u1ec3n khai c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI.<\/p>\n<p>N\u0103ng su\u1ea5t c\u1ee7a nh\u00e0 nghi\u00ean c\u1ee9u AI ph\u1ee5 thu\u1ed9c v\u00e0o kh\u1ea3 n\u0103ng nhanh ch\u00f3ng th\u1eed nghi\u1ec7m c\u00e1c \u00fd t\u01b0\u1edfng m\u1edbi, \u0111\u00f2i h\u1ecfi c\u1ea3 t\u00ednh linh ho\u1ea1t \u0111\u1ec3 \u0111\u00e0o t\u1ea1o b\u1ea5t k\u1ef3 m\u00f4 h\u00ecnh n\u00e0o c\u0169ng nh\u01b0 t\u1ed1c \u0111\u1ed9 c\u00f3 \u0111\u01b0\u1ee3c khi \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh \u0111\u00f3 \u1edf quy m\u00f4 l\u1edbn nh\u1ea5t. n\u1ec1n t\u1ea3ng &#8211; m\u1ed9t c\u00e1i nh\u00ecn to\u00e0n di\u1ec7n h\u01a1n th\u1ec3 hi\u1ec7n ch\u00ednh x\u00e1c h\u01a1n chi ph\u00ed th\u1ef1c s\u1ef1 c\u1ee7a vi\u1ec7c tri\u1ec3n khai AI.<\/p>\n<p>Ngo\u00e0i ra, vi\u1ec7c s\u1eed d\u1ee5ng c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI c\u1ee7a h\u1ecd d\u1ef1a v\u00e0o kh\u1ea3 n\u0103ng thay th\u1ebf c\u1ee7a n\u00f3 ho\u1eb7c kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c to\u00e0n b\u1ed9 quy tr\u00ecnh l\u00e0m vi\u1ec7c c\u1ee7a AI &#8211; t\u1eeb chu\u1ea9n b\u1ecb d\u1eef li\u1ec7u \u0111\u1ebfn \u0111\u00e0o t\u1ea1o \u0111\u1ebfn suy lu\u1eadn &#8211; tr\u00ean m\u1ed9t n\u1ec1n t\u1ea3ng duy nh\u1ea5t.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"1542\" height=\"676\" class=\"alignnone wp-image-13170 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1.png 1542w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1-300x132.png 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1-768x337.png 768w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1-1024x449.png 1024w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1-40x18.png 40w\" sizes=\"auto, (max-width: 1542px) 100vw, 1542px\" \/><\/p>\n<p>V\u1edbi NVIDIA AI, kh\u00e1ch h\u00e0ng c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng c\u00f9ng m\u1ed9t c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng cho to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng AI, \u0111\u1ecbnh v\u1ecb l\u1ea1i n\u00f3 \u0111\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c nhu c\u1ea7u kh\u00e1c nhau gi\u1eefa chu\u1ea9n b\u1ecb, \u0111\u00e0o t\u1ea1o v\u00e0 suy lu\u1eadn d\u1eef li\u1ec7u, gi\u00fap t\u0103ng \u0111\u00e1ng k\u1ec3 vi\u1ec7c s\u1eed d\u1ee5ng, d\u1eabn \u0111\u1ebfn ROI r\u1ea5t cao. V\u00e0 khi c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u kh\u00e1m ph\u00e1 ra nh\u1eefng \u0111\u1ed9t ph\u00e1 m\u1edbi c\u1ee7a AI, vi\u1ec7c h\u1ed7 tr\u1ee3 c\u00e1c c\u1ea3i ti\u1ebfn m\u00f4 h\u00ecnh m\u1edbi nh\u1ea5t l\u00e0 ch\u00eca kh\u00f3a \u0111\u1ec3 t\u1ed1i \u0111a h\u00f3a tu\u1ed5i th\u1ecd h\u1eefu \u00edch c\u1ee7a c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI.<\/p>\n<p>NVIDIA AI mang l\u1ea1i n\u0103ng su\u1ea5t cao nh\u1ea5t tr\u00ean m\u1ed7i \u0111\u00f4 la v\u00ec n\u00f3 ph\u1ed5 bi\u1ebfn v\u00e0 hi\u1ec7u qu\u1ea3 cho m\u1ecdi m\u00f4 h\u00ecnh, m\u1edf r\u1ed9ng \u0111\u1ebfn b\u1ea5t k\u1ef3 k\u00edch th\u01b0\u1edbc n\u00e0o v\u00e0 t\u0103ng t\u1ed1c AI t\u1eeb \u0111\u1ea7u \u0111\u1ebfn cu\u1ed1i &#8211; t\u1eeb chu\u1ea9n b\u1ecb d\u1eef li\u1ec7u \u0111\u1ebfn \u0111\u00e0o t\u1ea1o \u0111\u1ebfn suy lu\u1eadn. K\u1ebft qu\u1ea3 h\u00f4m nay cung c\u1ea5p minh ch\u1ee9ng m\u1edbi nh\u1ea5t v\u1ec1 chuy\u00ean m\u00f4n AI s\u00e2u r\u1ed9ng c\u1ee7a NVIDIA \u0111\u01b0\u1ee3c th\u1ec3 hi\u1ec7n trong m\u1ecdi kh\u00f3a \u0111\u00e0o t\u1ea1o, suy lu\u1eadn v\u00e0 HPC c\u1ee7a MLPerf cho \u0111\u1ebfn nay.<\/p>\n<h2><b>Hi\u1ec7u su\u1ea5t g\u1ea5p 23 l\u1ea7n trong 3,5 n\u0103m<\/b><\/h2>\n<p>Trong hai n\u0103m k\u1ec3 t\u1eeb l\u1ea7n g\u1eedi MLPerf \u0111\u1ea7u ti\u00ean c\u1ee7a ch\u00fang t\u00f4i v\u1edbi A100, n\u1ec1n t\u1ea3ng c\u1ee7a ch\u00fang t\u00f4i \u0111\u00e3 mang l\u1ea1i hi\u1ec7u su\u1ea5t g\u1ea5p 6 l\u1ea7n. C\u00e1c t\u1ed1i \u01b0u h\u00f3a li\u00ean t\u1ee5c cho ng\u0103n x\u1ebfp ph\u1ea7n m\u1ec1m c\u1ee7a ch\u00fang t\u00f4i \u0111\u00e3 gi\u00fap th\u00fac \u0111\u1ea9y nh\u1eefng l\u1ee3i \u00edch \u0111\u00f3.<\/p>\n<p>K\u1ec3 t\u1eeb khi MLPerf ra \u0111\u1eddi, n\u1ec1n t\u1ea3ng NVIDIA AI \u0111\u00e3 mang l\u1ea1i hi\u1ec7u su\u1ea5t cao h\u01a1n 23 l\u1ea7n trong 3,5 n\u0103m theo ti\u00eau chu\u1ea9n &#8211; k\u1ebft qu\u1ea3 c\u1ee7a s\u1ef1 \u0111\u1ed5i m\u1edbi to\u00e0n ng\u0103n x\u1ebfp bao g\u1ed3m GPU, ph\u1ea7n m\u1ec1m v\u00e0 c\u00e1c c\u1ea3i ti\u1ebfn tr\u00ean quy m\u00f4 l\u1edbn. Ch\u00ednh cam k\u1ebft \u0111\u1ed5i m\u1edbi li\u00ean t\u1ee5c n\u00e0y \u0111\u1ea3m b\u1ea3o v\u1edbi kh\u00e1ch h\u00e0ng r\u1eb1ng n\u1ec1n t\u1ea3ng AI m\u00e0 h\u1ecd \u0111\u1ea7u t\u01b0 v\u00e0o ng\u00e0y h\u00f4m nay v\u00e0 duy tr\u00ec ho\u1ea1t \u0111\u1ed9ng trong 3 \u0111\u1ebfn 5 n\u0103m, s\u1ebd ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n \u0111\u1ec3 h\u1ed7 tr\u1ee3 n\u1ec1n t\u1ea3ng ti\u00ean ti\u1ebfn nh\u1ea5t.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"1136\" height=\"577\" class=\"alignnone wp-image-13169 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta.png 1136w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-300x152.png 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-768x390.png 768w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-1024x520.png 1024w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-bao-cao-mlperf-ve-hieu-suat-va-tinh-linh-hoat-cao-cua-ai-tu-nvidia-va-cac-doi-ta-40x20.png 40w\" sizes=\"auto, (max-width: 1136px) 100vw, 1136px\" \/><\/p>\n<p>Ngo\u00e0i ra , <a href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/hopper-architecture\/\">ki\u1ebfn tr\u00fac NVIDIA Hopper<\/a> , \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 v\u00e0o th\u00e1ng 3, h\u1ee9a h\u1eb9n m\u1ed9t b\u01b0\u1edbc nh\u1ea3y v\u1ecdt kh\u00e1c v\u1ec1 hi\u1ec7u su\u1ea5t trong c\u00e1c v\u00f2ng MLPerf trong t\u01b0\u01a1ng lai.<\/p>\n<h2><b>NVIDIA \u0111\u00e3 l\u00e0m \u0111i\u1ec1u n\u00e0y nh\u01b0 <\/b><b>th\u1ebf n\u00e0o?<\/b><\/h2>\n<p>S\u1ef1 \u0111\u1ed5i m\u1edbi ph\u1ea7n m\u1ec1m ti\u1ebfp t\u1ee5c mang l\u1ea1i hi\u1ec7u su\u1ea5t cao h\u01a1n tr\u00ean ki\u1ebfn tr\u00fac NVIDIA Ampere .V\u00ed d\u1ee5: <a href=\"https:\/\/developer.nvidia.com\/blog\/cuda-graphs\/\">\u0110\u1ed3 th\u1ecb CUDA<\/a> &#8211; ph\u1ea7n m\u1ec1m gi\u00fap gi\u1ea3m thi\u1ec3u chi ph\u00ed kh\u1edfi ch\u1ea1y \u0111\u1ed1i v\u1edbi c\u00e1c c\u00f4ng vi\u1ec7c ch\u1ea1y tr\u00ean nhi\u1ec1u tr\u00ecnh t\u0103ng t\u1ed1c &#8211; \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong c\u00e1c b\u00e0i n\u1ed9p c\u1ee7a ch\u00fang t\u00f4i. C\u00e1c h\u1ea1t nh\u00e2n \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a trong c\u00e1c th\u01b0 vi\u1ec7n c\u1ee7a ch\u00fang t\u00f4i nh\u01b0 cuDNN v\u00e0 ti\u1ec1n x\u1eed l\u00fd trong DALI \u0111\u00e3 m\u1edf kh\u00f3a t\u1ed1c \u0111\u1ed9 b\u1ed5 sung. Ch\u00fang t\u00f4i c\u0169ng tri\u1ec3n khai <a href=\"https:\/\/developer.nvidia.com\/blog\/boosting-mlperf-training-performance-with-full-stack-optimization\">c\u00e1c c\u1ea3i ti\u1ebfn<\/a> to\u00e0n di\u1ec7n tr\u00ean ph\u1ea7n c\u1ee9ng, ph\u1ea7n m\u1ec1m v\u00e0 m\u1ea1ng nh\u01b0 NVIDIA Magnum IO v\u00e0 SHARP, gi\u00fap gi\u1ea3m t\u1ea3i m\u1ed9t s\u1ed1 ch\u1ee9c n\u0103ng AI v\u00e0o m\u1ea1ng \u0111\u1ec3 th\u00fac \u0111\u1ea9y hi\u1ec7u su\u1ea5t cao h\u01a1n n\u1eefa, \u0111\u1eb7c bi\u1ec7t l\u00e0 \u1edf quy m\u00f4 l\u1edbn.<\/p>\n<p>T\u1ea5t c\u1ea3 ph\u1ea7n m\u1ec1m ch\u00fang t\u00f4i s\u1eed d\u1ee5ng \u0111\u1ec1u c\u00f3 s\u1eb5n t\u1eeb kho l\u01b0u tr\u1eef MLPerf, v\u00ec v\u1eady m\u1ecdi ng\u01b0\u1eddi \u0111\u1ec1u c\u00f3 th\u1ec3 nh\u1eadn \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 \u0111\u1eb3ng c\u1ea5p th\u1ebf gi\u1edbi c\u1ee7a ch\u00fang t\u00f4i. Ch\u00fang t\u00f4i li\u00ean t\u1ee5c g\u1ea5p nh\u1eefng t\u1ed1i \u01b0u h\u00f3a n\u00e0y v\u00e0o c\u00e1c v\u00f9ng ch\u1ee9a c\u00f3 s\u1eb5n tr\u00ean <a href=\"https:\/\/ngc.nvidia.com\/catalog\">NGC<\/a> , trung t\u00e2m ph\u1ea7n m\u1ec1m c\u1ee7a ch\u00fang t\u00f4i d\u00e0nh cho c\u00e1c \u1ee9ng d\u1ee5ng GPU v\u00e0 cung c\u1ea5p <a class=\"iblink\" href=\"\/solution\/infra\/ai\/bo-giai-phap-trien-khai-ai-cap-doanh-nghiep-nvidia-ai-enterprise-p4126\/\">NVIDIA AI Enterprise<\/a> \u0111\u1ec3 cung c\u1ea5p ph\u1ea7n m\u1ec1m \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a, \u0111\u01b0\u1ee3c NVIDIA h\u1ed7 tr\u1ee3 \u0111\u1ea7y \u0111\u1ee7.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/tgmc-blog-62c8f942864b0.png\" alt=\"Pre-trained models and Optimized Software from NVIDIA NGC \" \/><\/p>\n<p>Hai n\u0103m sau khi ra m\u1eaft A100, n\u1ec1n t\u1ea3ng NVIDIA AI ti\u1ebfp t\u1ee5c mang l\u1ea1i hi\u1ec7u su\u1ea5t cao nh\u1ea5t trong MLPerf 2.0 v\u00e0 l\u00e0 n\u1ec1n t\u1ea3ng duy nh\u1ea5t c\u00f3 th\u1ec3 \u0111\u00e1p \u1ee9ng m\u1ecdi ti\u00eau chu\u1ea9n. Ki\u1ebfn tr\u00fac Hopper th\u1ebf h\u1ec7 ti\u1ebfp theo c\u1ee7a ch\u00fang t\u00f4i h\u1ee9a h\u1eb9n m\u1ed9t b\u01b0\u1edbc nh\u1ea3y v\u1ecdt kh\u1ed5ng l\u1ed3 kh\u00e1c trong c\u00e1c v\u00f2ng MLPerf trong t\u01b0\u01a1ng lai. N\u1ec1n t\u1ea3ng c\u1ee7a NVIDIA l\u00e0 ph\u1ed5 bi\u1ebfn cho m\u1ecdi m\u00f4 h\u00ecnh v\u00e0 khu\u00f4n kh\u1ed5 \u1edf m\u1ecdi quy m\u00f4 v\u00e0 cung c\u1ea5p kh\u1ea3 n\u0103ng thay th\u1ebf \u0111\u1ec3 x\u1eed l\u00fd m\u1ecdi ph\u1ea7n c\u1ee7a kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c AI. N\u00f3 c\u00f3 s\u1eb5n t\u1eeb m\u1ecdi nh\u00e0 s\u1ea3n xu\u1ea5t m\u00e1y ch\u1ee7 v\u00e0 \u0111\u00e1m m\u00e2y l\u1edbn.<\/p>\n<p>\u2192 T\u00ecm hi\u1ec3u th\u00eam v\u1ec1 hi\u1ec7u su\u1ea5t c\u1ee7a \u0111\u00e0o t\u1ea1o v\u00e0 suy lu\u1eadn trung t\u00e2m d\u1eef li\u1ec7u c\u1ee7a NVIDIA <a href=\"https:\/\/developer.nvidia.com\/deep-learning-performance-training-inference\">t\u1ea1i \u0111\u00e2y<\/a><\/p>\n<\/div>\n<\/div>\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>NVIDIA c&ugrave;ng v&#7899;i c&aacute;c &#273;&#7889;i t&aacute;c c&#7911;a h&atilde;ng ti&#7871;p t&#7909;c mang &#273;&#7871;n m&#7913;c hi&#7879;u su&#7845;t &#273;&agrave;o t&#7841;o AI t&#7893;ng th&#7875; t&#7889;t nh&#7845;t v&agrave; c&oacute; nhi&#7873;u report nh&#7845;t tr&ecirc;n t&#7845;t c&#7843; c&aacute;c &#273;i&#7875;m chu&#7849;n (benchmark) v&#7899;i 90% c&aacute;c m&#7909;c &#273;&#7871;n t&#7915; h&#7879; sinh th&aacute;i cho AI, &#273;&#432;&#7907;c t&iacute;nh theo &#273;i&#7875;m chu&#7849;n MLPerf v&agrave; v&#7915;a m&#7899;i ch&iacute;nh&#8230;<\/p>\n","protected":false},"author":17,"featured_media":13150,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[44,1],"tags":[701,7,671,74,499,907,1314,1316],"class_list":["post-13149","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","category-tong-hop","tag-a100","tag-ai","tag-gpu","tag-hpc","tag-ml","tag-mlperf","tag-nvidia","tag-supermicro"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>B\u00e1o c\u00e1o MLPerf v\u1ec1 Hi\u1ec7u su\u1ea5t v\u00e0 T\u00ednh linh ho\u1ea1t cao c\u1ee7a AI t\u1eeb NVIDIA v\u00e0 c\u00e1c \u0110\u1ed1i t\u00e1c - Blog | TheGioiMayChu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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&#273;i&#7875;m chu&#7849;n MLPerf v&agrave; v&#7915;a m&#7899;i ch&iacute;nh...\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/07\/TheGioiMayChu-Blog-Image-3.png\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nguy\u1ec5n \u0110\u1ee9c Th\u00e1i\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"13 minutes\" \/>\n<script type=\"application\/ld+json\" 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