{"id":13543,"date":"2022-10-09T10:55:00","date_gmt":"2022-10-09T03:55:00","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=13543"},"modified":"2022-10-10T08:17:33","modified_gmt":"2022-10-10T01:17:33","slug":"nhung-dong-gpu-nao-tot-nhat-cho-deep-learning","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\/","title":{"rendered":"Nh\u1eefng d\u00f2ng GPU n\u00e0o t\u1ed1t nh\u1ea5t cho Deep Learning?"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><h2>GPU t\u1ed1t nh\u1ea5t cho h\u1ecdc s\u00e2u<\/h2>\n<p>Th\u00f4ng th\u01b0\u1eddng, giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o c\u1ee7a qu\u00e1 tr\u00ecnh h\u1ecdc s\u00e2u (<a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">Deep Learning<\/a>) m\u1ea5t nhi\u1ec1u th\u1eddi gian nh\u1ea5t \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3.\u00a0\u0110\u00e2y kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t qu\u00e1 tr\u00ecnh t\u1ed1n th\u1eddi gian m\u00e0 c\u00f2n t\u1ed1n k\u00e9m.\u00a0Ph\u1ea7n c\u00f3 gi\u00e1 tr\u1ecb nh\u1ea5t c\u1ee7a qu\u00e1 tr\u00ecnh h\u1ecdc s\u00e2u l\u00e0 y\u1ebfu t\u1ed1 con ng\u01b0\u1eddi &#8211; c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u th\u01b0\u1eddng \u0111\u1ee3i h\u00e0ng gi\u1edd ho\u1eb7c h\u00e0ng ng\u00e0y \u0111\u1ec3 vi\u1ec7c \u0111\u00e0o t\u1ea1o ho\u00e0n th\u00e0nh, \u0111i\u1ec1u n\u00e0y l\u00e0m \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn n\u0103ng su\u1ea5t c\u1ee7a h\u1ecd v\u00e0 th\u1eddi gian \u0111\u01b0a c\u00e1c m\u00f4 h\u00ecnh m\u1edbi ra th\u1ecb tr\u01b0\u1eddng.<\/p>\n<p>\u0110\u1ec3 gi\u1ea3m \u0111\u00e1ng k\u1ec3 th\u1eddi gian \u0111\u00e0o t\u1ea1o, b\u1ea1n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng\u00a0GPU chuy\u00ean d\u1ee5ng cho h\u1ecdc s\u00e2u, cho ph\u00e9p b\u1ea1n th\u1ef1c hi\u1ec7n song song c\u00e1c ho\u1ea1t \u0111\u1ed9ng t\u00ednh to\u00e1n AI.\u00a0Khi \u0111\u00e1nh gi\u00e1 GPU, b\u1ea1n c\u1ea7n xem x\u00e9t kh\u1ea3 n\u0103ng k\u1ebft n\u1ed1i nhi\u1ec1u GPU v\u1edbi nhau, ph\u1ea7n m\u1ec1m h\u1ed7 tr\u1ee3 c\u00f3 s\u1eb5n, chi ph\u00ed license, t\u00ednh song song c\u1ee7a d\u1eef li\u1ec7u, vi\u1ec7c s\u1eed d\u1ee5ng b\u1ed9 nh\u1edb GPU v\u00e0 hi\u1ec7u su\u1ea5t chung.<\/p>\n<p>Trong b\u00e0i vi\u1ebft n\u00e0y, b\u1ea1n s\u1ebd t\u00ecm hi\u1ec3u v\u1ec1:<\/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<ul>\n<li>T\u1ea7m quan tr\u1ecdng c\u1ee7a GPU trong h\u1ecdc s\u00e2u<\/li>\n<li>C\u00e1ch ch\u1ecdn GPU t\u1ed1t nh\u1ea5t cho vi\u1ec7c h\u1ecdc s\u00e2u<\/li>\n<li>S\u1eed d\u1ee5ng GPU ph\u1ed5 th\u00f4ng \u0111\u1ec3 h\u1ecdc s\u00e2u<\/li>\n<li>GPU h\u1ecdc s\u00e2u t\u1ed1t nh\u1ea5t d\u00e0nh cho trung t\u00e2m d\u1eef li\u1ec7u<\/li>\n<li>H\u1ec7 th\u1ed1ng NVIDIA DGX v\u00e0 h\u1ecdc s\u00e2u tr\u00ean quy m\u00f4 l\u1edbn<\/li>\n<\/ul>\n<h2>T\u1ea1i sao GPU l\u1ea1i quan tr\u1ecdng \u0111\u1ed1i v\u1edbi H\u1ecdc s\u00e2u?<\/h2>\n<p>Giai \u0111o\u1ea1n d\u00e0i nh\u1ea5t v\u00e0 s\u1eed d\u1ee5ng nhi\u1ec1u t\u00e0i nguy\u00ean nh\u1ea5t c\u1ee7a h\u1ea7u h\u1ebft c\u00e1c tri\u1ec3n khai h\u1ecdc s\u00e2u l\u00e0 giai \u0111o\u1ea1n \u0111\u00e0o t\u1ea1o.\u00a0Giai \u0111o\u1ea1n n\u00e0y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n trong m\u1ed9t kho\u1ea3ng th\u1eddi gian h\u1ee3p l\u00fd \u0111\u1ed1i v\u1edbi c\u00e1c m\u00f4 h\u00ecnh c\u00f3 s\u1ed1 l\u01b0\u1ee3ng th\u00f4ng s\u1ed1 nh\u1ecf h\u01a1n nh\u01b0ng khi s\u1ed1 l\u01b0\u1ee3ng c\u1ee7a b\u1ea1n t\u0103ng l\u00ean, th\u1eddi gian \u0111\u00e0o t\u1ea1o c\u1ee7a b\u1ea1n c\u0169ng theo \u0111\u00f3 m\u00e0 nh\u00e2n l\u00ean.\u00a0\u0110i\u1ec1u n\u00e0y t\u1ea1o ra chi ph\u00ed k\u00e9p;\u00a0t\u00e0i nguy\u00ean c\u1ee7a b\u1ea1n b\u1ecb chi\u1ebfm d\u1ee5ng l\u00e2u h\u01a1n v\u00e0 nh\u00f3m c\u1ee7a b\u1ea1n ph\u1ea3i ch\u1edd \u0111\u1ee3i, l\u00e3ng ph\u00ed th\u1eddi gian qu\u00fd b\u00e1u.<\/p>\n<p>C\u00e1c \u0111\u01a1n v\u1ecb x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda (GPU) c\u00f3 th\u1ec3 gi\u1ea3m c\u00e1c chi ph\u00ed n\u00e0y, cho ph\u00e9p b\u1ea1n ch\u1ea1y c\u00e1c m\u00f4 h\u00ecnh v\u1edbi s\u1ed1 l\u01b0\u1ee3ng l\u1edbn c\u00e1c th\u00f4ng s\u1ed1 m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 hi\u1ec7u qu\u1ea3.\u00a0\u0110i\u1ec1u n\u00e0y l\u00e0 do GPU cho ph\u00e9p b\u1ea1n song song h\u00f3a c\u00e1c nhi\u1ec7m v\u1ee5 \u0111\u00e0o t\u1ea1o c\u1ee7a m\u00ecnh, ph\u00e2n ph\u1ed1i c\u00e1c t\u00e1c v\u1ee5 qua c\u00e1c c\u1ee5m b\u1ed9 x\u1eed l\u00fd v\u00e0 th\u1ef1c hi\u1ec7n \u0111\u1ed3ng th\u1eddi c\u00e1c ho\u1ea1t \u0111\u1ed9ng t\u00ednh to\u00e1n.<\/p>\n<p>GPU c\u0169ng \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a \u0111\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c t\u00e1c v\u1ee5 m\u1ee5c ti\u00eau, ho\u00e0n thi\u1ec7n c\u00e1c ph\u00e9p t\u00ednh nhanh h\u01a1n so v\u1edbi ph\u1ea7n c\u1ee9ng kh\u00f4ng chuy\u00ean d\u1ee5ng.\u00a0C\u00e1c b\u1ed9 x\u1eed l\u00fd n\u00e0y cho ph\u00e9p b\u1ea1n x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 t\u01b0\u01a1ng t\u1ef1 nhanh h\u01a1n v\u00e0 gi\u1ea3i ph\u00f3ng CPU c\u1ee7a b\u1ea1n cho c\u00e1c t\u00e1c v\u1ee5 kh\u00e1c.\u00a0\u0110i\u1ec1u n\u00e0y gi\u00fap lo\u1ea1i b\u1ecf c\u00e1c t\u1eafc ngh\u1ebdn do gi\u1edbi h\u1ea1n x\u1eed l\u00fd g\u00e2y ra.<\/p>\n<h2>Ch\u1ecdn GPU n\u00e0o t\u1ed1t nh\u1ea5t cho h\u1ecdc s\u00e2u?<\/h2>\n<p>Vi\u1ec7c ch\u1ecdn GPU \u0111\u1ec3 tri\u1ec3n khai c\u1ee7a b\u1ea1n c\u00f3 \u00fd ngh\u0129a \u0111\u00e1ng k\u1ec3 v\u1ec1 ng\u00e2n s\u00e1ch v\u00e0 hi\u1ec7u su\u1ea5t.\u00a0B\u1ea1n c\u1ea7n ch\u1ecdn GPU c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 d\u1ef1 \u00e1n c\u1ee7a b\u1ea1n v\u1ec1 l\u00e2u d\u00e0i v\u00e0 c\u00f3 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng quy m\u00f4 th\u00f4ng qua t\u00edch h\u1ee3p v\u00e0 ph\u00e2n c\u1ee5m.\u00a0\u0110\u1ed1i v\u1edbi c\u00e1c d\u1ef1 \u00e1n quy m\u00f4 l\u1edbn, \u0111i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 ch\u1ecdn GPU c\u1ea5p s\u1ea3n xu\u1ea5t (production-grade) ho\u1eb7c trung t\u00e2m d\u1eef li\u1ec7u.<\/p>\n<h3>C\u00e1c y\u1ebfu t\u1ed1 GPU c\u1ea7n xem x\u00e9t<\/h3>\n<p>Nh\u1eefng y\u1ebfu t\u1ed1 n\u00e0y \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng v\u00e0 d\u1ec5 s\u1eed d\u1ee5ng c\u1ee7a GPU b\u1ea1n ch\u1ecdn.<\/p>\n<h5>Kh\u1ea3 n\u0103ng k\u1ebft n\u1ed1i c\u00e1c GPU v\u1edbi nhau<\/h5>\n<p>Khi ch\u1ecdn GPU, b\u1ea1n c\u1ea7n xem x\u00e9t d\u00f2ng GPU n\u00e0o c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i v\u1edbi nhau.\u00a0Vi\u1ec7c k\u1ebft n\u1ed1i c\u00e1c GPU li\u00ean h\u1ec7 tr\u1ef1c ti\u1ebfp v\u1edbi kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng tri\u1ec3n khai c\u1ee7a b\u1ea1n v\u00e0 kh\u1ea3 n\u0103ng s\u1eed d\u1ee5ng \u0111a GPU v\u00e0 c\u00e1c chi\u1ebfn l\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o ph\u00e2n t\u00e1n.<\/p>\n<p>Th\u00f4ng th\u01b0\u1eddng, GPU ph\u1ed5 th\u00f4ng kh\u00f4ng h\u1ed7 tr\u1ee3 k\u1ebft n\u1ed1i (v\u00ed d\u1ee5 NVlink cho k\u1ebft n\u1ed1i GPU n\u1ed9i b\u1ed9 b\u00ean trong m\u00e1y ch\u1ee7 v\u00e0 Infiniband \/ RoCE \u0111\u1ec3 li\u00ean k\u1ebft GPU gi\u1eefa c\u00e1c m\u00e1y ch\u1ee7 v\u1edbi nhau) v\u00e0 NVIDIA \u0111\u00e3 lo\u1ea1i b\u1ecf kh\u1ea3 n\u0103ng k\u1ebft n\u1ed1i \u1edf c\u00e1c m\u1eabu GPU c\u1ea5p d\u01b0\u1edbi RTX 2080.<\/p>\n<h5>Ph\u1ea7n m\u1ec1m h\u1ed7 tr\u1ee3<\/h5>\n<p>GPU NVIDIA \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 t\u1ed1t nh\u1ea5t v\u1ec1 th\u01b0 vi\u1ec7n Machine Learning v\u00e0 t\u00edch h\u1ee3p v\u1edbi c\u00e1c framework ph\u1ed5 bi\u1ebfn, ch\u1eb3ng h\u1ea1n nh\u01b0 PyTorch ho\u1eb7c TensorFlow.\u00a0B\u1ed9 c\u00f4ng c\u1ee5 NVIDIA CUDA bao g\u1ed3m c\u00e1c th\u01b0 vi\u1ec7n t\u0103ng t\u1ed1c GPU, tr\u00ecnh bi\u00ean d\u1ecbch C v\u00e0 C ++ v\u00e0 runtime c\u0169ng nh\u01b0 c\u00e1c c\u00f4ng c\u1ee5 t\u1ed1i \u01b0u h\u00f3a v\u00e0 g\u1ee1 l\u1ed7i.\u00a0N\u00f3 cho ph\u00e9p b\u1ea1n b\u1eaft \u0111\u1ea7u ngay l\u1eadp t\u1ee9c m\u00e0 kh\u00f4ng c\u1ea7n lo l\u1eafng v\u1ec1 vi\u1ec7c x\u00e2y d\u1ef1ng c\u00e1c t\u00edch h\u1ee3p t\u00f9y ch\u1ec9nh.<\/p>\n<h5>License<\/h5>\n<p>M\u1ed9t y\u1ebfu t\u1ed1 kh\u00e1c c\u1ea7n xem x\u00e9t l\u00e0 c\u00e1c h\u01b0\u1edbng d\u1eabn c\u1ee7a NVIDIA v\u1ec1 vi\u1ec7c s\u1eed d\u1ee5ng m\u1ed9t s\u1ed1 chip nh\u1ea5t \u0111\u1ecbnh trong c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u.\u00a0K\u1ec3 t\u1eeb\u00a0b\u1ea3n c\u1eadp nh\u1eadt license v\u00e0o n\u0103m 2018, c\u00f3 th\u1ec3 c\u00f3 nh\u1eefng h\u1ea1n ch\u1ebf \u0111\u1ed1i v\u1edbi vi\u1ec7c s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m CUDA v\u1edbi GPU ph\u1ed5 th\u00f4ng trong trung t\u00e2m d\u1eef li\u1ec7u.\u00a0\u0110i\u1ec1u n\u00e0y c\u00f3 th\u1ec3 y\u00eau c\u1ea7u c\u00e1c t\u1ed5 ch\u1ee9c chuy\u1ec3n \u0111\u1ed5i sang GPU c\u1ea5p production.<\/p>\n<h3>3 Y\u1ebfu t\u1ed1 thu\u1eadt to\u00e1n \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng GPU<\/h3>\n<p>Theo kinh nghi\u1ec7m c\u1ee7a ch\u00fang t\u00f4i khi gi\u00fap c\u00e1c t\u1ed5 ch\u1ee9c t\u1ed1i \u01b0u h\u00f3a kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c h\u1ecdc s\u00e2u quy m\u00f4 l\u1edbn, sau \u0111\u00e2y l\u00e0 ba y\u1ebfu t\u1ed1 ch\u00ednh b\u1ea1n n\u00ean xem x\u00e9t khi m\u1edf r\u1ed9ng thu\u1eadt to\u00e1n c\u1ee7a m\u00ecnh tr\u00ean nhi\u1ec1u GPU.<\/p>\n<ol>\n<li><em>T\u00ednh song song d\u1eef li\u1ec7u<\/em> &#8211;\u00a0Xem x\u00e9t l\u01b0\u1ee3ng d\u1eef li\u1ec7u m\u00e0 thu\u1eadt to\u00e1n c\u1ee7a b\u1ea1n c\u1ea7n x\u1eed l\u00fd.\u00a0N\u1ebfu b\u1ed9 d\u1eef li\u1ec7u l\u1edbn, h\u00e3y \u0111\u1ea7u t\u01b0 v\u00e0o GPU c\u00f3 kh\u1ea3 n\u0103ng th\u1ef1c hi\u1ec7n \u0111\u00e0o t\u1ea1o \u0111a GPU m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.\u00a0\u0110\u1ed1i v\u1edbi b\u1ed9 d\u1eef li\u1ec7u quy m\u00f4 r\u1ea5t l\u1edbn, h\u00e3y \u0111\u1ea3m b\u1ea3o r\u1eb1ng c\u00e1c m\u00e1y ch\u1ee7 c\u00f3 th\u1ec3 giao ti\u1ebfp r\u1ea5t nhanh v\u1edbi nhau v\u00e0 v\u1edbi c\u00e1c th\u00e0nh ph\u1ea7n l\u01b0u tr\u1eef, s\u1eed d\u1ee5ng c\u00e1c c\u00f4ng ngh\u1ec7 nh\u01b0 Infiniband \/ RoCE, \u0111\u1ec3 cho ph\u00e9p \u0111\u00e0o t\u1ea1o ph\u00e2n t\u00e1n hi\u1ec7u qu\u1ea3.<\/li>\n<li><em>Vi\u1ec7c s\u1eed d\u1ee5ng b\u1ed9 nh\u1edb<\/em> &#8211;\u00a0B\u1ea1n s\u1ebd x\u1eed l\u00fd \u0111\u1ea7u v\u00e0o d\u1eef li\u1ec7u l\u1edbn \u0111\u1ec3 l\u1eadp m\u00f4 h\u00ecnh?\u00a0V\u00ed d\u1ee5: c\u00e1c m\u00f4 h\u00ecnh x\u1eed l\u00fd h\u00ecnh \u1ea3nh y t\u1ebf ho\u1eb7c video d\u00e0i c\u00f3 b\u1ed9 \u0111\u00e0o t\u1ea1o r\u1ea5t l\u1edbn, v\u00ec v\u1eady b\u1ea1n s\u1ebd mu\u1ed1n \u0111\u1ea7u t\u01b0 v\u00e0o GPU c\u00f3 b\u1ed9 nh\u1edb t\u01b0\u01a1ng \u0111\u1ed1i l\u1edbn.\u00a0Ng\u01b0\u1ee3c l\u1ea1i, d\u1eef li\u1ec7u d\u1ea1ng b\u1ea3ng nh\u01b0 \u0111\u1ea7u v\u00e0o v\u0103n b\u1ea3n cho c\u00e1c m\u00f4 h\u00ecnh NLP th\u01b0\u1eddng nh\u1ecf v\u00e0 b\u1ea1n c\u00f3 th\u1ec3 th\u1ef1c hi\u1ec7n v\u1edbi \u00edt b\u1ed9 nh\u1edb GPU h\u01a1n.<\/li>\n<li><em>Hi\u1ec7u su\u1ea5t c\u1ee7a GPU<\/em> &#8211;\u00a0C\u00e2n nh\u1eafc xem b\u1ea1n c\u00f3 \u0111\u1ecbnh s\u1eed d\u1ee5ng GPU \u0111\u1ec3 g\u1ee1 l\u1ed7i v\u00e0 ph\u00e1t tri\u1ec3n hay kh\u00f4ng.\u00a0Trong tr\u01b0\u1eddng h\u1ee3p n\u00e0y, b\u1ea1n s\u1ebd kh\u00f4ng c\u1ea7n GPU m\u1ea1nh nh\u1ea5t.\u00a0\u0110\u1ec3 \u0111i\u1ec1u ch\u1ec9nh c\u00e1c m\u00f4 h\u00ecnh trong th\u1eddi gian d\u00e0i, b\u1ea1n c\u1ea7n c\u00f3 GPU m\u1ea1nh \u0111\u1ec3 \u0111\u1ea9y nhanh th\u1eddi gian \u0111\u00e0o t\u1ea1o, tr\u00e1nh ph\u1ea3i \u0111\u1ee3i h\u00e0ng gi\u1edd ho\u1eb7c h\u00e0ng ng\u00e0y \u0111\u1ec3 c\u00e1c m\u00f4 h\u00ecnh ch\u1ea1y.<\/li>\n<\/ol>\n<h2>S\u1eed d\u1ee5ng GPU ph\u1ed5 th\u00f4ng cho vi\u1ec7c h\u1ecdc s\u00e2u<\/h2>\n<p>M\u1eb7c d\u00f9 GPU ph\u1ed5 th\u00f4ng kh\u00f4ng ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c d\u1ef1 \u00e1n h\u1ecdc s\u00e2u quy m\u00f4 l\u1edbn, nh\u01b0ng nh\u1eefng b\u1ed9 x\u1eed l\u00fd n\u00e0y c\u00f3 th\u1ec3 cung c\u1ea5p b\u01b0\u1edbc ban \u0111\u1ea7u t\u1ed1t cho h\u1ecdc s\u00e2u.\u00a0GPU ph\u1ed5 th\u00f4ng c\u0169ng c\u00f3 th\u1ec3 l\u00e0 m\u1ed9t t\u00f9y ch\u1ecdn r\u1ebb cho c\u00e1c t\u00e1c v\u1ee5 \u00edt ph\u1ee9c t\u1ea1p h\u01a1n, ch\u1eb3ng h\u1ea1n nh\u01b0 l\u1eadp k\u1ebf ho\u1ea1ch m\u00f4 h\u00ecnh ho\u1eb7c th\u1eed nghi\u1ec7m c\u1ea5p th\u1ea5p.\u00a0Tuy nhi\u00ean, khi m\u1edf r\u1ed9ng quy m\u00f4, b\u1ea1n s\u1ebd c\u1ea7n xem x\u00e9t c\u00e1c GPU c\u1ea5p trung t\u00e2m d\u1eef li\u1ec7u v\u00e0 c\u00e1c h\u1ec7 th\u1ed1ng h\u1ecdc s\u00e2u cao c\u1ea5p nh\u01b0 d\u00f2ng m\u00e1y ch\u1ee7 DGX c\u1ee7a NVIDIA.<\/p>\n<p>\u0110\u1eb7c bi\u1ec7t, Titan V\u00a0\u0111\u00e3 \u0111\u01b0\u1ee3c ch\u1ee9ng minh\u00a0l\u00e0 cung c\u1ea5p hi\u1ec7u su\u1ea5t t\u01b0\u01a1ng t\u1ef1 nh\u01b0 GPU c\u1ea5p trung t\u00e2m d\u1eef li\u1ec7u khi n\u00f3i \u0111\u1ebfn Word RNN.\u00a0Ngo\u00e0i ra, hi\u1ec7u su\u1ea5t c\u1ee7a n\u00f3 \u0111\u1ed1i v\u1edbi CNN ch\u1ec9 th\u1ea5p h\u01a1n m\u1ed9t ch\u00fat so v\u1edbi c\u00e1c t\u00f9y ch\u1ecdn c\u1ea5p cao h\u01a1n.\u00a0Titan RTX v\u00e0 RTX 2080 Ti c\u0169ng kh\u00f4ng k\u00e9m l\u00e0 bao.<\/p>\n<h5>NVIDIA Titan V<\/h5>\n<p>Titan V l\u00e0 m\u1ed9t GPU PC \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 c\u00e1c nh\u00e0 khoa h\u1ecdc v\u00e0 nh\u00e0 nghi\u00ean c\u1ee9u s\u1eed d\u1ee5ng.\u00a0N\u00f3 d\u1ef1a tr\u00ean c\u00f4ng ngh\u1ec7 Volta c\u1ee7a NVIDIA v\u00e0 bao g\u1ed3m c\u00e1c l\u00f5i Tensor.\u00a0Titan V c\u00f3 c\u00e1c phi\u00ean b\u1ea3n Standard v\u00e0 &#8216;CEO&#8217;.<\/p>\n<p>Phi\u00ean b\u1ea3n Standard cung c\u1ea5p b\u1ed9 nh\u1edb 12GB, hi\u1ec7u su\u1ea5t 110 teraflop, b\u1ed9 nh\u1edb \u0111\u1ec7m L2 4,5MB v\u00e0 bus b\u1ed9 nh\u1edb 3.072-bit.\u00a0Phi\u00ean b\u1ea3n CEO cung c\u1ea5p b\u1ed9 nh\u1edb 32 GB v\u00e0 hi\u1ec7u su\u1ea5t 125 teraflop, b\u1ed9 nh\u1edb \u0111\u1ec7m 6MB v\u00e0 bus b\u1ed9 nh\u1edb 4.096 bit.\u00a0Phi\u00ean b\u1ea3n th\u1ee9 hai c\u0169ng s\u1eed d\u1ee5ng c\u00f9ng m\u1ed9t ng\u0103n x\u1ebfp b\u1ed9 nh\u1edb HBM2 8-Hi \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong c\u00e1c \u0111\u01a1n v\u1ecb Tesla 32GB.<\/p>\n<h5>NVIDIA Titan RTX<\/h5>\n<p>Titan RTX l\u00e0 GPU PC d\u1ef1a tr\u00ean ki\u1ebfn \u200b\u200btr\u00fac GPU Turing c\u1ee7a NVIDIA \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c s\u00e1ng t\u1ea1o v\u00e0 h\u1ecdc m\u00e1y.\u00a0N\u00f3 bao g\u1ed3m c\u00e1c c\u00f4ng ngh\u1ec7 Tensor Core v\u00e0 RT Core \u0111\u1ec3 cho ph\u00e9p d\u00f2 tia v\u00e0 t\u0103ng t\u1ed1c AI.<\/p>\n<p>M\u1ed7i Titan RTX cung c\u1ea5p 130 teraflop, b\u1ed9 nh\u1edb GDDR6 24GB, b\u1ed9 nh\u1edb \u0111\u1ec7m 6MB v\u00e0 11 GigaRays m\u1ed7i gi\u00e2y.\u00a0\u0110i\u1ec1u n\u00e0y l\u00e0 do 72 l\u00f5i Turing RT v\u00e0 576 l\u00f5i Turing Tensor \u0111a \u0111\u1ed9 ch\u00ednh x\u00e1c.<\/p>\n<h5>NVIDIA GeForce RTX 2080 Ti<\/h5>\n<p>GeForce RTX 2080 Ti l\u00e0 m\u1ed9t GPU PC \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho nh\u1eefng ng\u01b0\u1eddi \u0111am m\u00ea.\u00a0N\u00f3 d\u1ef1a tr\u00ean b\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda TU102.\u00a0M\u1ed7i GeForce RTX 2080 Ti cung c\u1ea5p b\u1ed9 nh\u1edb 11GB, bus b\u1ed9 nh\u1edb 352-bit, b\u1ed9 nh\u1edb \u0111\u1ec7m 6MB v\u00e0 hi\u1ec7u su\u1ea5t kho\u1ea3ng 120 teraflop.<\/p>\n<h2>GPU h\u1ecdc s\u00e2u t\u1ed1t nh\u1ea5t cho c\u00e1c d\u1ef1 \u00e1n quy m\u00f4 l\u1edbn v\u00e0 trung t\u00e2m d\u1eef li\u1ec7u<\/h2>\n<p>Sau \u0111\u00e2y l\u00e0 c\u00e1c GPU \u0111\u01b0\u1ee3c khuy\u1ebfn ngh\u1ecb s\u1eed d\u1ee5ng trong c\u00e1c d\u1ef1 \u00e1n AI quy m\u00f4 l\u1edbn.<\/p>\n<h5>NVIDIA Tesla A100<\/h5>\n<p>A100 l\u00e0 GPU c\u00f3 l\u00f5i Tensor k\u1ebft h\u1ee3p c\u00f4ng ngh\u1ec7 GPU \u0111a phi\u00ean b\u1ea3n (MIG).\u00a0N\u00f3 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u00e1y h\u1ecdc, ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 HPC.<\/p>\n<p>Tesla A100 \u0111\u01b0\u1ee3c t\u1ea1o ra \u0111\u1ec3 c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng l\u00ean \u0111\u1ebfn h\u00e0ng ngh\u00ecn unit v\u00e0 m\u1ed7i unit l\u1ea1i c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c &#8216;b\u0103m&#8217; th\u00e0nh b\u1ea3y instance GPU kh\u00e1c nhau cho b\u1ea5t k\u1ef3 k\u00edch th\u01b0\u1edbc c\u1ee7a workload n\u00e0o.\u00a0M\u1ed7i Tesla A100 cung c\u1ea5p hi\u1ec7u su\u1ea5t l\u00ean t\u1edbi 624 teraflop, b\u1ed9 nh\u1edb 40GB, b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb 1.555 GB v\u00e0 k\u1ebft n\u1ed1i 600GB\/s.<\/p>\n<h5>NVIDIA Tesla\u00a0V100<\/h5>\n<p>NVIDIA Tesla V100 l\u00e0 GPU h\u1ed7 tr\u1ee3 Tensor Core \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho h\u1ecdc m\u00e1y, h\u1ecdc s\u00e2u v\u00e0 m\u00e1y t\u00ednh hi\u1ec7u su\u1ea5t cao (HPC).\u00a0N\u00f3 \u0111\u01b0\u1ee3c cung c\u1ea5p b\u1edfi c\u00f4ng ngh\u1ec7 NVIDIA Volta, h\u1ed7 tr\u1ee3 c\u00f4ng ngh\u1ec7 l\u00f5i Tensor, chuy\u00ean d\u00f9ng \u0111\u1ec3 t\u0103ng t\u1ed1c c\u00e1c ho\u1ea1t \u0111\u1ed9ng tensor ph\u1ed5 bi\u1ebfn trong h\u1ecdc s\u00e2u.\u00a0M\u1ed7i chi\u1ebfc Tesla V100 cung c\u1ea5p hi\u1ec7u su\u1ea5t 149 teraflop, b\u1ed9 nh\u1edb l\u00ean \u0111\u1ebfn 32GB v\u00e0 bus b\u1ed9 nh\u1edb 4.096 bit.<\/p>\n<h5>NVIDIA Tesla P100<\/h5>\n<p>Tesla P100 l\u00e0 GPU d\u1ef1a tr\u00ean ki\u1ebfn \u200b\u200btr\u00fac NVIDIA Pascal \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u00e1y h\u1ecdc v\u00e0 HPC.\u00a0M\u1ed7i P100 cung c\u1ea5p hi\u1ec7u su\u1ea5t l\u00ean t\u1edbi 21 teraflop, b\u1ed9 nh\u1edb 16GB v\u00e0 bus b\u1ed9 nh\u1edb 4.096 bit.<\/p>\n<h5>NVIDIA Tesla K80<\/h5>\n<p>Tesla K80 l\u00e0 m\u1ed9t GPU d\u1ef1a tr\u00ean ki\u1ebfn \u200b\u200btr\u00fac NVIDIA Kepler \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 t\u0103ng t\u1ed1c t\u00ednh to\u00e1n khoa h\u1ecdc v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u.\u00a0N\u00f3 bao g\u1ed3m 4.992 l\u00f5i NVIDIA CUDA v\u00e0 c\u00f4ng ngh\u1ec7 GPU Boost\u2122.\u00a0M\u1ed7i K80 cung c\u1ea5p hi\u1ec7u su\u1ea5t l\u00ean \u0111\u1ebfn 8,73 teraflop, 24GB b\u1ed9 nh\u1edb GDDR5 v\u00e0 480GB b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb.<\/p>\n<h5>TPU c\u1ee7a Google<\/h5>\n<p>\u0110\u1eb7c bi\u1ec7t m\u1ed9t t\u00ed v\u1edbi c\u00e1c Tensor Processing Unit (TPU) c\u1ee7a Google.\u00a0TPU l\u00e0 lo\u1ea1i chip\/m\u1ea1ch t\u00edch h\u1ee3p cloud-base, v\u00e0 thu\u1ed9c d\u1ea1ng application-specific integrated circuits (ASIC) d\u00e0nh cho h\u1ecdc s\u00e2u.\u00a0C\u00e1c \u0111\u01a1n v\u1ecb n\u00e0y \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 s\u1eed d\u1ee5ng v\u1edbi TensorFlow v\u00e0 ch\u1ec9 kh\u1ea3 d\u1ee5ng tr\u00ean Google Cloud Platform.<\/p>\n<p>M\u1ed7i TPU c\u00f3 th\u1ec3 cung c\u1ea5p hi\u1ec7u su\u1ea5t l\u00ean \u0111\u1ebfn 420 teraflop v\u00e0 b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao 128 GB (HBM).\u00a0Ngo\u00e0i ra c\u00f2n c\u00f3 c\u00e1c phi\u00ean b\u1ea3n pod c\u00f3 th\u1ec3 cung c\u1ea5p h\u01a1n 100 petaflop hi\u1ec7u su\u1ea5t, 32TB HBM v\u00e0 m\u1ea1ng l\u01b0\u1edbi h\u00ecnh xuy\u1ebfn 2D.<\/p>\n<h2>NVIDIA DGX cho H\u1ecdc s\u00e2u tr\u00ean quy m\u00f4 (Large-scale Deep Learning)<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/10\/tgmc-blog-6340e9c6da15e.png\" alt=\"\" \/><\/p>\n<p>H\u1ec7 th\u1ed1ng NVIDIA DGX l\u00e0 gi\u1ea3i ph\u00e1p full-stack \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho Machine Learning c\u1ea5p doanh nghi\u1ec7p.\u00a0C\u00e1c h\u1ec7 th\u1ed1ng n\u00e0y d\u1ef1a tr\u00ean m\u1ed9t l\u1edbp ph\u1ea7n m\u1ec1m t\u1ed1i \u01b0u h\u00f3a cho AI, kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng \u0111a node v\u00e0 ch\u00ednh s\u00e1ch h\u1ed7 tr\u1ee3 c\u1ea5p doanh nghi\u1ec7p.<\/p>\n<p>B\u1ea1n c\u00f3 th\u1ec3 tri\u1ec3n khai DGX stack trong c\u00e1c container ho\u1eb7c bare-metal.\u00a0C\u00f4ng ngh\u1ec7 n\u00e0y thi\u1ebft k\u1ebf theo ki\u1ec3u plug-n-play v\u00e0 \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p ho\u00e0n to\u00e0n v\u1edbi c\u00e1c gi\u1ea3i ph\u00e1p ph\u1ea7n m\u1ec1m v\u00e0 th\u01b0 vi\u1ec7n h\u1ecdc s\u00e2u c\u1ee7a NVIDIA.\u00a0DGX c\u00f3 s\u1eb5n v\u1edbi c\u00e1c m\u00e1y tr\u1ea1m, m\u00e1y ch\u1ee7 ho\u1eb7c c\u1ee5m m\u00e1y ch\u1ee7.<\/p>\n<h5>DGX-1<\/h5>\n<p>DGX-1 l\u00e0 m\u1ed9t <a class=\"iblink\" href=\"\/server\/gpu-system\/\">m\u00e1y ch\u1ee7 GPU<\/a> d\u1ef1a tr\u00ean H\u1ec7 \u0111i\u1ec1u h\u00e0nh M\u00e1y ch\u1ee7 Ubuntu Linux.\u00a0N\u00f3 t\u00edch h\u1ee3p v\u1edbi c\u00e1c gi\u1ea3i ph\u00e1p Red Hat v\u00e0 bao g\u1ed3m \u1ee9ng d\u1ee5ng \u0111\u00e0o t\u1ea1o h\u1ecdc s\u00e2u DIGITS, NVIDIA <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">Deep Learning<\/a> SDK, b\u1ed9 c\u00f4ng c\u1ee5 CUDA v\u00e0 Ti\u1ec7n \u00edch Docker Engine cho GPU NVIDIA.<\/p>\n<p>M\u1ed7i DGX-1 cung c\u1ea5p:<\/p>\n<ul>\n<li>Hai CPU Intel Xeon \u0111\u1ec3 \u0111i\u1ec1u ph\u1ed1i framework h\u1ecdc s\u00e2u, kh\u1edfi \u0111\u1ed9ng v\u00e0 qu\u1ea3n l\u00fd l\u01b0u tr\u1eef<\/li>\n<li>L\u00ean \u0111\u1ebfn 8 GPU l\u00f5i Tensor Tesla V100 v\u1edbi b\u1ed9 nh\u1edb 32 GB<\/li>\n<li>300Gb \/ gi\u00e2y k\u1ebft n\u1ed1i NVLink<\/li>\n<li>Giao ti\u1ebfp 800GB \/ gi\u00e2y v\u1edbi \u0111\u1ed9 tr\u1ec5 th\u1ea5p<\/li>\n<li>M\u1ed9t \u1ed5 SSD h\u1ec7 \u0111i\u1ec1u h\u00e0nh kh\u1edfi \u0111\u1ed9ng 480GB duy nh\u1ea5t v\u00e0 b\u1ed1n \u1ed5 SSD SAS 1,92 TB (t\u1ed5ng c\u1ed9ng 7,6 TB) \u0111\u01b0\u1ee3c c\u1ea5u h\u00ecnh RAID 0 striped volume<\/li>\n<\/ul>\n<h5>DGX-2<\/h5>\n<p>DGX-2 l\u00e0 c\u1ea5p \u0111\u1ed9 ti\u1ebfp theo n\u00e2ng c\u1ea5p t\u1eeb DGX-1.\u00a0N\u00f3 d\u1ef1a tr\u00ean k\u1ebft c\u1ea5u m\u1ea1ng NVSwitch cho kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng v\u00e0 t\u00ednh song song cao h\u01a1n.<\/p>\n<p>M\u1ed7i DGX-2 cung c\u1ea5p:<\/p>\n<ul>\n<li>02 petaflop hi\u1ec7u su\u1ea5t<\/li>\n<li>SSD NVME 2X 960GB cho h\u1ec7 \u0111i\u1ec1u h\u00e0nh v\u00e0 30TB dung l\u01b0\u1ee3ng l\u01b0u tr\u1eef SSD<\/li>\n<li>16 Tesla V100 Tensor Core GPU v\u1edbi b\u1ed9 nh\u1edb 32 GB<\/li>\n<li>12 NVSwitch, 2,4TB\/s\u00a0bisection bandwidth<\/li>\n<li>1,6TB\/s\u00a0bi-directional, low-latency bandwidth<\/li>\n<li>B\u1ed9 nh\u1edb h\u1ec7 th\u1ed1ng 1.5TB<\/li>\n<li>Hai CPU Xeon Platinum \u0111\u1ec3 \u0111i\u1ec1u ph\u1ed1i, kh\u1edfi \u0111\u1ed9ng v\u00e0 l\u01b0u tr\u1eef framework h\u1ecdc s\u00e2u<\/li>\n<li>Hai card ethernet I\/O cao<\/li>\n<\/ul>\n<h3>DGX A100<\/h3>\n<p>DGX A100 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 tr\u1edf th\u00e0nh m\u1ed9t h\u1ec7 th\u1ed1ng chung cho c\u00e1c t\u1ea3i c\u00f4ng vi\u1ec7c h\u1ecdc m\u00e1y, bao g\u1ed3m ph\u00e2n t\u00edch, \u0111\u00e0o t\u1ea1o v\u00e0 suy lu\u1eadn.\u00a0N\u00f3 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a ho\u00e0n to\u00e0n cho CUDA-X.\u00a0DGX A100 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c x\u1ebfp ch\u1ed3ng l\u00ean nhau v\u1edbi c\u00e1c unit A100 kh\u00e1c \u0111\u1ec3 t\u1ea1o ra c\u00e1c c\u1ee5m AI kh\u1ed5ng l\u1ed3, bao g\u1ed3m c\u1ea3 NVIDIA DGX SuperPOD.<\/p>\n<p>M\u1ed7i DGX A100 cung c\u1ea5p:<\/p>\n<ul>\n<li>05 petaflop hi\u1ec7u su\u1ea5t<\/li>\n<li>08 GPU A100 Tensor Core v\u1edbi b\u1ed9 nh\u1edb 40GB<\/li>\n<li>S\u00e1u b\u1ed9 switch NVS cho b\u0103ng th\u00f4ng hai chi\u1ec1u 4,8TB<\/li>\n<li>09 b\u1ed9 giao ti\u1ebfp m\u1ea1ng Mellanox Connectx-6 v\u1edbi b\u0103ng th\u00f4ng hai chi\u1ec1u 450GB\/s<\/li>\n<li>02 CPU AMD 64 l\u00f5i \u0111\u1ec3 \u0111i\u1ec1u ph\u1ed1i framework h\u1ecdc s\u00e2u, kh\u1edfi \u0111\u1ed9ng v\u00e0 l\u01b0u tr\u1eef<\/li>\n<li>B\u1ed9 nh\u1edb h\u1ec7 th\u1ed1ng 1TB<\/li>\n<li>2 \u1ed5 M.2 NVME 2x 1,92TB \u0111\u1ec3 l\u01b0u tr\u1eef h\u1ec7 \u0111i\u1ec1u h\u00e0nh v\u00e0 b\u1ed9 nh\u1edb SSD 15TB<\/li>\n<\/ul>\n<h5>&#8230;v\u00e0 DGX H100?<\/h5>\n<p>M\u1eb7c d\u00f9 \u0111\u01b0\u1ee3c NVIDIA th\u00f4ng b\u00e1o l\u00e0 \u0111\u1ebfn \u0111\u1ea7u n\u0103m sau (2023) m\u1edbi cung c\u1ea5p ra th\u1ecb tr\u01b0\u1eddng, th\u00f4ng tin v\u1ec1 d\u00f2ng &#8216;si\u00eau GPU&#8217; n\u00e0y \u0111\u00e3 \u0111\u01b0\u1ee3c ti\u1ebft l\u1ed9 v\u1edbi c\u00e1c ch\u1ec9 s\u1ed1 hi\u1ec7u n\u0103ng g\u00e2y cho\u00e1ng ng\u1ee3p. V\u1ec1 t\u1ed5ng quan th\u00ec m\u1eabu GPU cho data center m\u1edbi n\u00e0y c\u00f3 hi\u1ec7u n\u0103ng x\u1eed l\u00fd AI g\u1ea5p 4.5 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 A100, b\u0103ng th\u00f4ng n\u1ed9i b\u1ed9 qua NVLink switch l\u00ean \u0111\u1ebfn 900 Gigabytes\/second,&#8230; v\u00e0 r\u1ea5t nhi\u1ec1u b\u1ed5 sung kh\u00e1c \u0111\u01b0\u1ee3c th\u00eam v\u00e0o \u0111\u1ec3 \u0111\u01b0a vi\u1ec7c tri\u1ec3n khai d\u1ef1 \u00e1n AI l\u00ean c\u1ea5p \u0111\u1ed9 ch\u01b0a t\u1eebng c\u00f3.<\/p>\n<p>Xem th\u00eam th\u00f4ng tin chi ti\u1ebft v\u1ec1 H100 qua b\u00e0i:\u00a0<a href=\"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/thong-so-ky-thuat-va-hieu-nang-cua-gpu-nvidia-h100-hopper-p13652\/\">Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt v\u00e0 hi\u1ec7u n\u0103ng c\u1ee7a GPU NVIDIA H100 Hopper<\/a><\/p>\n<h2>GPU n\u00e0o t\u1ed1t nh\u1ea5t cho H\u1ecdc s\u00e2u?<\/h2>\n<p>Th\u1eadt kh\u00f4ng may, kh\u00f4ng c\u00f3 c\u00e2u tr\u1ea3 l\u1eddi d\u1ec5 d\u00e0ng.\u00a0GPU t\u1ed1t nh\u1ea5t cho d\u1ef1 \u00e1n c\u1ee7a b\u1ea1n s\u1ebd ph\u1ee5 thu\u1ed9c v\u00e0o m\u1ee9c \u0111\u1ed9 tr\u01b0\u1edfng th\u00e0nh c\u1ee7a ho\u1ea1t \u0111\u1ed9ng AI c\u1ee7a b\u1ea1n, quy m\u00f4 ho\u1ea1t \u0111\u1ed9ng c\u1ee7a b\u1ea1n c\u0169ng nh\u01b0 c\u00e1c thu\u1eadt to\u00e1n v\u00e0 m\u00f4 h\u00ecnh c\u1ee5 th\u1ec3 m\u00e0 b\u1ea1n \u0111ang l\u00e0m vi\u1ec7c.<\/p>\n<p>\u1ede giai \u0111o\u1ea1n ban \u0111\u1ea7u c\u1ee7a d\u1ef1 \u00e1n, b\u1ea1n ho\u00e0n to\u00e0n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng c\u00e1c GPU c\u1ea5p ph\u1ed5 th\u00f4ng ph\u00f9 h\u1ee3p cho c\u00e1c t\u00e1c v\u1ee5 \u0111\u01a1n gi\u1ea3n, c\u00e1c th\u1eed nghi\u1ec7m \u1edf quy m\u00f4 nh\u1ecf. Nh\u01b0ng khi d\u1ef1 \u00e1n AI c\u1ee7a b\u1ea1n \u0111i s\u00e2u h\u01a1n v\u00e0 v\u1edbi quy m\u00f4 l\u1edbn d\u1ea7n, nh\u1eefng GPU c\u1ea5p cao \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf chuy\u00ean d\u1ee5ng cho trung t\u00e2m d\u1eef li\u1ec7u v\u00e0 Deep Learning v\u1edbi kh\u1ea3 n\u0103ng li\u00ean k\u1ebft v\u00e0 sizing theo th\u1eddi gian l\u00e0 nh\u1eefng l\u1ef1a ch\u1ecdn g\u1ea7n nh\u01b0 b\u1eaft bu\u1ed9c.<\/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=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=20284\">H\u01b0\u1edbng d\u1eabn l\u1ef1a ch\u1ecdn GPU ph\u00f9 h\u1ee3p cho AI, Machine Learning<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=21466\">5 \u0111i\u1ec1u b\u1ea1n c\u1ea7n bi\u1ebft v\u1ec1 NVIDIA DGX Spark &#8211; Chi\u1ebfc m\u00e1y t\u00ednh m\u01a1 \u01b0\u1edbc c\u1ee7a c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n AI<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=21557\">SLM v\u00e0 AI t\u1ea1i bi\u00ean: B\u00ecnh minh c\u1ee7a m\u1ed9t k\u1ef7 nguy\u00ean m\u1edbi hay ch\u1ec9 l\u00e0 c\u01a1n s\u1ed1t nh\u1ea5t th\u1eddi?<\/a><\/li>\n<\/ul>\n<\/p>","protected":false},"excerpt":{"rendered":"<p>GPU t&#7889;t nh&#7845;t cho h&#7885;c s&acirc;u Th&ocirc;ng th&#432;&#7901;ng, giai &#273;o&#7841;n &#273;&agrave;o t&#7841;o c&#7911;a qu&aacute; tr&igrave;nh h&#7885;c s&acirc;u (Deep Learning) m&#7845;t nhi&#7873;u th&#7901;i gian nh&#7845;t &#273;&#7875; &#273;&#7841;t &#273;&#432;&#7907;c k&#7871;t qu&#7843;.&nbsp;&#272;&acirc;y kh&ocirc;ng ch&#7881; l&agrave; m&#7897;t qu&aacute; tr&igrave;nh t&#7889;n th&#7901;i gian m&agrave; c&ograve;n t&#7889;n k&eacute;m.&nbsp;Ph&#7847;n c&oacute; gi&aacute; tr&#7883; nh&#7845;t c&#7911;a qu&aacute; tr&igrave;nh h&#7885;c s&acirc;u l&agrave; y&#7871;u t&#7889; con&#8230;<\/p>\n","protected":false},"author":2,"featured_media":13676,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[7,12],"class_list":["post-13543","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","tag-ai","tag-deep-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Nh\u1eefng d\u00f2ng GPU n\u00e0o t\u1ed1t nh\u1ea5t cho Deep Learning? - 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\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Nh\u1eefng d\u00f2ng GPU n\u00e0o t\u1ed1t nh\u1ea5t cho Deep Learning? - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"GPU t&#7889;t nh&#7845;t cho h&#7885;c s&acirc;u Th&ocirc;ng th&#432;&#7901;ng, giai &#273;o&#7841;n &#273;&agrave;o t&#7841;o c&#7911;a qu&aacute; tr&igrave;nh h&#7885;c s&acirc;u (Deep Learning) m&#7845;t nhi&#7873;u th&#7901;i gian nh&#7845;t &#273;&#7875; &#273;&#7841;t &#273;&#432;&#7907;c k&#7871;t qu&#7843;.&nbsp;&#272;&acirc;y kh&ocirc;ng ch&#7881; l&agrave; m&#7897;t qu&aacute; tr&igrave;nh t&#7889;n th&#7901;i gian m&agrave; c&ograve;n t&#7889;n k&eacute;m.&nbsp;Ph&#7847;n c&oacute; gi&aacute; tr&#7883; nh&#7845;t c&#7911;a qu&aacute; tr&igrave;nh h&#7885;c s&acirc;u l&agrave; y&#7871;u t&#7889; con...\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2022\/10\/TheGioiMayChu-Blog-Image-AI-GPU.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=\"20 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\\\/\"},\"author\":{\"name\":\"Vanito Hoang\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/#\\\/schema\\\/person\\\/feccec179330cfebfaa805639a357d18\"},\"headline\":\"Nh\u1eefng d\u00f2ng GPU n\u00e0o t\u1ed1t nh\u1ea5t cho Deep Learning?\",\"datePublished\":\"2022-10-09T03:55:00+00:00\",\"dateModified\":\"2022-10-10T01:17:33+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\\\/\"},\"wordCount\":3957,\"publisher\":{\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/10\\\/TheGioiMayChu-Blog-Image-AI-GPU.jpg\",\"keywords\":[\"ai\",\"deep learning\"],\"articleSection\":[\"AI - HPC\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\\\/\",\"url\":\"https:\\\/\\\/thegioimaychu.vn\\\/blog\\\/ai-hpc\\\/nhung-dong-gpu-nao-tot-nhat-cho-deep-learning-p13543\\\/\",\"name\":\"Nh\u1eefng d\u00f2ng GPU n\u00e0o t\u1ed1t nh\u1ea5t cho Deep Learning? 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