{"id":15334,"date":"2023-03-23T00:16:16","date_gmt":"2023-03-22T17:16:16","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=15334"},"modified":"2023-03-27T08:02:30","modified_gmt":"2023-03-27T01:02:30","slug":"nvidia-grace-cpu-mo-duong-nhanh-chong-cho-dien-toan-tiet-kiem-nang-luong-doi-voi-moi-trung-tam-du-lieu","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nvidia-grace-cpu-mo-duong-nhanh-chong-cho-dien-toan-tiet-kiem-nang-luong-doi-voi-moi-trung-tam-du-lieu-p15334\/","title":{"rendered":"CPU Grace c\u1ee7a NVIDIA m\u1edf \u0111\u01b0\u1eddng \u0111\u1ebfn v\u1edbi \u0111i\u1ec7n to\u00e1n ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng cho m\u1ecdi trung t\u00e2m d\u1eef li\u1ec7u"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p><strong><em>C\u00e1c \u1ee9ng d\u1ee5ng ph\u1ed5 th\u00f4ng \u0111\u1ea1t \u0111\u01b0\u1ee3c g\u1ea5p 2 l\u1ea7n hi\u1ec7u su\u1ea5t ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng so v\u1edbi c\u00e1c n\u1ec1n t\u1ea3ng x86 \u0111\u1ed1i v\u1edbi microservices, ph\u00e2n t\u00edch, m\u00f4 ph\u1ecfng,&#8230;<\/em><\/strong><\/p>\n<p>K\u1ebft qu\u1ea3 \u0111\u00e3 c\u00f3 v\u00e0 ch\u00fang ch\u1ec9 ra m\u1ed9t k\u1ef7 nguy\u00ean m\u1edbi trong \u0111i\u1ec7n to\u00e1n ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng.<\/p>\n<p>Trong c\u00e1c th\u1eed nghi\u1ec7m v\u1ec1 nh\u1eefng workload th\u1ef1c t\u1ebf,\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/grace-cpu\/\">NVIDIA Grace CPU Superchip<\/a>\u00a0\u0111\u1ea1t hi\u1ec7u su\u1ea5t g\u1ea5p 2 l\u1ea7n so v\u1edbi c\u00e1c b\u1ed9 vi x\u1eed l\u00fd x86 \u1edf c\u00f9ng m\u1ee9c c\u00f4ng su\u1ea5t tr\u00ean c\u00e1c \u1ee9ng d\u1ee5ng CPU ch\u00ednh c\u1ee7a trung t\u00e2m d\u1eef li\u1ec7u.\u00a0\u0110i\u1ec1u \u0111\u00f3 m\u1edf ra m\u1ed9t lo\u1ea1t c\u00e1c c\u01a1 h\u1ed9i m\u1edbi.<\/p>\n<p>\u0110i\u1ec1u \u0111\u00f3 c\u00f3 ngh\u0129a l\u00e0 c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u c\u00f3 th\u1ec3 x\u1eed l\u00fd l\u01b0u l\u01b0\u1ee3ng cao g\u1ea5p \u0111\u00f4i.\u00a0H\u1ecd c\u00f3 th\u1ec3 c\u1eaft gi\u1ea3m m\u1ed9t n\u1eeda h\u00f3a \u0111\u01a1n ti\u1ec1n \u0111i\u1ec7n.\u00a0H\u1ecd c\u00f3 th\u1ec3 \u0111\u00f3ng g\u00f3i nhi\u1ec1u kh\u1ea3 n\u0103ng x\u1eed l\u00fd h\u01a1n v\u00e0o c\u00e1c kh\u00f4ng gian h\u1ea1n ch\u1ebf \u1edf r\u00eca m\u1ea1ng &#8211; ho\u1eb7c b\u1ea5t k\u1ef3 s\u1ef1 k\u1ebft h\u1ee3p n\u00e0o c\u1ee7a nh\u1eefng th\u1ee9 tr\u00ean.<\/p>\n<h2>Hi\u1ec7u qu\u1ea3 N\u0103ng l\u01b0\u1ee3ng &#8211; \u01afu ti\u00ean c\u1ee7a Trung t\u00e2m d\u1eef li\u1ec7u<\/h2>\n<p>C\u00e1c nh\u00e0 qu\u1ea3n l\u00fd trung t\u00e2m d\u1eef li\u1ec7u c\u1ea7n nh\u1eefng t\u00f9y ch\u1ecdn n\u00e0y \u0111\u1ec3 ph\u00e1t tri\u1ec3n m\u1ea1nh trong k\u1ef7 nguy\u00ean ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng ng\u00e0y nay.<\/p>\n<p>\u0110\u1ecbnh lu\u1eadt Moore \u0111\u00e3 ch\u1ebft, m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3. L\u0129nh v\u1ef1c v\u1eadt l\u00fd kh\u00f4ng c\u00f2n cho ph\u00e9p c\u00e1c k\u1ef9 s\u01b0 \u0111\u00f3ng g\u00f3i nhi\u1ec1u transistor h\u01a1n trong c\u00f9ng m\u1ed9t kh\u00f4ng gian v\u1edbi c\u00f9ng c\u00f4ng su\u1ea5t.<\/p>\n<p>\u0110\u00f3 l\u00e0 l\u00fd do t\u1ea1i sao c\u00e1c CPU x86 m\u1edbi th\u01b0\u1eddng mang l\u1ea1i m\u1ee9c t\u0103ng so v\u1edbi c\u00e1c th\u1ebf h\u1ec7 tr\u01b0\u1edbc d\u01b0\u1edbi 30% v\u00e0 c\u0169ng l\u00e0 l\u00fd do t\u1ea1i sao ng\u00e0y c\u00e0ng nhi\u1ec1u trung t\u00e2m d\u1eef li\u1ec7u b\u1ecb gi\u1edbi h\u1ea1n c\u00f4ng su\u1ea5t.<\/p>\n<p>V\u1edbi m\u1ed1i \u0111e d\u1ecda ng\u00e0y c\u00e0ng t\u0103ng c\u1ee7a s\u1ef1 n\u00f3ng l\u00ean to\u00e0n c\u1ea7u, c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u kh\u00f4ng c\u00f3 \u0111i\u1ec1u ki\u1ec7n \u0111\u1ec3 m\u1edf r\u1ed9ng c\u00f4ng su\u1ea5t nh\u01b0ng ch\u00fang v\u1eabn c\u1ea7n ph\u1ea3i \u0111\u00e1p \u1ee9ng nhu c\u1ea7u ng\u00e0y c\u00e0ng t\u0103ng v\u1ec1 \u0111i\u1ec7n to\u00e1n.<\/p>\n<h2>\u0110i\u1ec1u mong mu\u1ed1n: C\u00f9ng c\u00f4ng su\u1ea5t, hi\u1ec7u su\u1ea5t cao h\u01a1n<\/h2>\n<p>Nhu c\u1ea7u \u0111i\u1ec7n to\u00e1n \u0111ang t\u0103ng 10% m\u1ed7i n\u0103m \u1edf M\u1ef9 v\u00e0 s\u1ebd t\u0103ng g\u1ea5p \u0111\u00f4i trong v\u00f2ng 8 n\u0103m t\u1eeb 2022-2030, theo <a href=\"https:\/\/www.mckinsey.com\/industries\/technology-media-and-telecommunications\/our-insights\/investing-in-the-rising-data-center-economy\">m\u1ed9t nghi\u00ean c\u1ee9u c\u1ee7a McKinsey<\/a>.<\/p>\n<p>\u201cDo \u0111\u00f3, \u00e1p l\u1ef1c \u0111\u1ec3 l\u00e0m cho c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u tr\u1edf n\u00ean b\u1ec1n v\u1eefng l\u00e0 r\u1ea5t cao v\u00e0 m\u1ed9t s\u1ed1 c\u01a1 quan qu\u1ea3n l\u00fd c\u0169ng nh\u01b0 ch\u00ednh ph\u1ee7 \u0111ang \u00e1p \u0111\u1eb7t c\u00e1c ti\u00eau chu\u1ea9n b\u1ec1n v\u1eefng \u0111\u1ed1i v\u1edbi c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u m\u1edbi \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng\u201d.<\/p>\n<p>V\u1edbi s\u1ef1 k\u1ebft th\u00fac c\u1ee7a \u0111\u1ecbnh lu\u1eadt Moore, s\u1ef1 ti\u1ebfn tri\u1ec3n c\u1ee7a trung t\u00e2m d\u1eef li\u1ec7u v\u1ec1 t\u00ednh hi\u1ec7u qu\u1ea3 c\u1ee7a \u0111i\u1ec7n to\u00e1n \u0111\u00e3 b\u1ecb ch\u1eadm l\u1ea1i &#8211; theo m\u1ed9t kh\u1ea3o s\u00e1t m\u00e0 McKinsey \u0111\u00e3 tr\u00edch d\u1eabn (xem bi\u1ec3u \u0111\u1ed3 b\u00ean d\u01b0\u1edbi).<\/p>\n<p><a href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/03\/Datacenter-efficiency-gains-stall-McKinsey-1.jpg\"><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/03\/tgmc-blog-641b1db21a34b.jpg\" alt=\"\" \/><\/a><\/p>\n<p>Trong m\u00f4i tr\u01b0\u1eddng ng\u00e0y nay, m\u1ee9c t\u0103ng g\u1ea5p 2 l\u1ea7n m\u00e0 NVIDIA Grace mang l\u1ea1i l\u00e0 \u0111i\u1ec1u \u0111\u00e1ng kinh ng\u1ea1c t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u1edbi m\u1ed9t b\u01b0\u1edbc nh\u1ea3y v\u1ecdt qua nhi\u1ec1u th\u1ebf h\u1ec7.\u00a0N\u00f3 \u0111\u00e1p \u1ee9ng nh\u1eefng y\u00eau c\u1ea7u c\u1ee7a c\u00e1c gi\u00e1m \u0111\u1ed1c \u0111i\u1ec1u h\u00e0nh trung t\u00e2m d\u1eef li\u1ec7u ng\u00e0y nay.<\/p>\n<p>Zac Smith &#8211; ng\u01b0\u1eddi \u0111\u1ee9ng \u0111\u1ea7u c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng bi\u00ean t\u1ea1i Equinix, nh\u00e0 cung c\u1ea5p d\u1ecbch v\u1ee5 to\u00e0n c\u1ea7u qu\u1ea3n l\u00fd h\u01a1n 240 trung t\u00e2m d\u1eef li\u1ec7u, \u0111\u00e3 n\u00eau r\u00f5 nh\u1eefng nhu c\u1ea7u n\u00e0y trong\u00a0<a href=\"https:\/\/blogs.nvidia.com\/blog\/2022\/05\/23\/liquid-cooled-gpus-computex\/\">m\u1ed9t b\u00e0i vi\u1ebft<\/a>\u00a0v\u1ec1 \u0111i\u1ec7n to\u00e1n ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng.<\/p>\n<p>\u00d4ng n\u00f3i: \u201cHi\u1ec7u su\u1ea5t b\u1ea1n nh\u1eadn \u0111\u01b0\u1ee3c \u0111\u1ed1i v\u1edbi t\u00e1c \u0111\u1ed9ng carbon m\u00e0 b\u1ea1n c\u00f3 l\u00e0 nh\u1eefng g\u00ec ch\u00fang ta c\u1ea7n h\u01b0\u1edbng t\u1edbi.&#8221;<\/p>\n<p>\u201cCh\u00fang t\u00f4i c\u00f3 10.000 kh\u00e1ch h\u00e0ng tr\u00f4ng c\u1eady v\u00e0o s\u1ef1 gi\u00fap \u0111\u1ee1 c\u1ee7a m\u00ecnh trong h\u00e0nh tr\u00ecnh n\u00e0y.\u00a0H\u1ecd y\u00eau c\u1ea7u nhi\u1ec1u d\u1eef li\u1ec7u h\u01a1n v\u00e0 nhi\u1ec1u tr\u00ed th\u00f4ng minh h\u01a1n, th\u01b0\u1eddng l\u00e0 v\u1edbi AI v\u00e0 h\u1ecd mu\u1ed1n \u0111i\u1ec1u \u0111\u00f3 m\u1ed9t c\u00e1ch b\u1ec1n v\u1eefng\u201d, \u00f4ng n\u00f3i th\u00eam.<\/p>\n<h2>B\u1ed9 ba c\u1ea3i ti\u1ebfn trong CPU<\/h2>\n<p>CPU Grace mang l\u1ea1i hi\u1ec7u su\u1ea5t hi\u1ec7u qu\u1ea3 \u0111\u00f3 nh\u1edd v\u00e0o 3 c\u1ea3i ti\u1ebfn.<\/p>\n<p>N\u00f3 s\u1eed d\u1ee5ng m\u1ed9t k\u1ebft c\u1ea5u c\u1ef1c nhanh \u0111\u1ec3 k\u1ebft n\u1ed1i 72 core Arm Neoverse V2 trong m\u1ed9t khu\u00f4n \u0111\u01a1n l\u1ebb, c\u00f3 b\u0103ng th\u00f4ng fabric bisection l\u00e0 3.2 TB\/s, m\u1ed9t th\u01b0\u1edbc \u0111o th\u00f4ng l\u01b0\u1ee3ng ti\u00eau chu\u1ea9n. Ti\u1ebfp theo, n\u00f3 k\u1ebft n\u1ed1i hai trong s\u1ed1 c\u00e1c khu\u00f4n \u0111\u00f3 trong m\u1ed9t superchip package v\u1edbi\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/nvlink-c2c\/\">NVIDIA NVLink-C2C<\/a>\u00a0interconnect, cung c\u1ea5p b\u0103ng th\u00f4ng 900 GB\/s.<\/p>\n<p>Cu\u1ed1i c\u00f9ng, \u0111\u00e2y l\u00e0 CPU trung t\u00e2m d\u1eef li\u1ec7u \u0111\u1ea7u ti\u00ean s\u1eed d\u1ee5ng b\u1ed9 nh\u1edb LPDDR5X c\u1ea5p m\u00e1y ch\u1ee7.\u00a0\u0110i\u1ec1u \u0111\u00f3 cung c\u1ea5p th\u00eam t\u1edbi 50% b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb v\u1edbi chi ph\u00ed t\u01b0\u01a1ng t\u1ef1 nh\u01b0ng c\u00f4ng su\u1ea5t ch\u1ec9 b\u1eb1ng 1\/8 so v\u1edbi b\u1ed9 nh\u1edb m\u00e1y ch\u1ee7 th\u00f4ng th\u01b0\u1eddng.\u00a0V\u00e0 k\u00edch th\u01b0\u1edbc nh\u1ecf g\u1ecdn c\u1ee7a n\u00f3 cho ph\u00e9p g\u1ea5p \u0111\u00f4i m\u1eadt \u0111\u1ed9 c\u1ee7a c\u00e1c thi\u1ebft k\u1ebf b\u1ed9 nh\u1edb card-based \u0111i\u1ec3n h\u00ecnh.<\/p>\n<p><a href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/03\/Grace-vs-other-CPUs-1-scaled.jpg\"><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/03\/tgmc-blog-641b1db269d15.jpg\" alt=\"\" \/><\/a><em>So v\u1edbi c\u00e1c CPU x86 hi\u1ec7n t\u1ea1i, NVIDIA Grace c\u00f3 thi\u1ebft k\u1ebf \u0111\u01a1n gi\u1ea3n h\u01a1n, cung c\u1ea5p nhi\u1ec1u b\u0103ng th\u00f4ng h\u01a1n v\u00e0 s\u1eed d\u1ee5ng \u00edt c\u00f4ng su\u1ea5t h\u01a1n.<\/em><\/p>\n<h2>Nh\u1eefng k\u1ebft qu\u1ea3 \u0111\u1ea7u ti\u00ean<\/h2>\n<p>C\u00e1c k\u1ef9 s\u01b0 c\u1ee7a NVIDIA hi\u1ec7n \u0111ang ch\u1ea1y nh\u1eefng workload c\u1ee7a trung t\u00e2m d\u1eef li\u1ec7u th\u1ef1c tr\u00ean Grace.<\/p>\n<p>H\u1ecd nh\u1eadn th\u1ea5y r\u1eb1ng so v\u1edbi c\u00e1c CPU x86 h\u00e0ng \u0111\u1ea7u trong c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u s\u1eed d\u1ee5ng c\u00f9ng m\u1ee9c ti\u00eau th\u1ee5 c\u00f4ng su\u1ea5t, th\u00ec Grace:<\/p>\n<ul>\n<li>Nhanh h\u01a1n 2.3 l\u1ea7n \u0111\u1ed1i v\u1edbi microservices.<\/li>\n<li>Nhanh h\u01a1n g\u1ea5p 2 l\u1ea7n trong x\u1eed l\u00fd d\u1eef li\u1ec7u chuy\u00ean s\u00e2u v\u1ec1 b\u1ed9 nh\u1edb<\/li>\n<li>V\u00e0 nhanh h\u01a1n 1.9 l\u1ea7n trong t\u00ednh to\u00e1n \u0111\u1ed9ng l\u1ef1c h\u1ecdc ch\u1ea5t l\u1ecfng, \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong nhi\u1ec1u \u1ee9ng d\u1ee5ng t\u00ednh to\u00e1n k\u1ef9 thu\u1eadt.<\/li>\n<\/ul>\n<p>C\u00e1c trung t\u00e2m d\u1eef li\u1ec7u th\u01b0\u1eddng ph\u1ea3i ch\u1edd hai th\u1ebf h\u1ec7 CPU tr\u1edf l\u00ean \u0111\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c nh\u1eefng l\u1ee3i \u00edch n\u00e0y, \u0111\u01b0\u1ee3c t\u00f3m t\u1eaft trong bi\u1ec3u \u0111\u1ed3 b\u00ean d\u01b0\u1edbi.<\/p>\n<p><a href=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2023\/03\/Grace-Performance-chart-scaled.jpg\"><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2023\/03\/tgmc-blog-641b1db2b6ee6.jpg\" alt=\"\" \/><\/a><\/p>\n<p>Ngay c\u1ea3 tr\u01b0\u1edbc khi c\u00f3 nh\u1eefng k\u1ebft qu\u1ea3 n\u00e0y tr\u00ean c\u00e1c CPU \u0111ang ho\u1ea1t \u0111\u1ed9ng, ng\u01b0\u1eddi d\u00f9ng c\u0169ng \u0111\u00e3 ph\u1ea3n h\u1ed3i v\u1ec1 nh\u1eefng \u0111\u1ed5i m\u1edbi trong Grace.<\/p>\n<p>Ph\u00f2ng th\u00ed nghi\u1ec7m qu\u1ed1c gia Los Alamos\u00a0<a href=\"https:\/\/blogs.nvidia.com\/blog\/2022\/05\/30\/special-address-isc-2022-hpc\/\">\u0111\u00e3 c\u00f4ng b\u1ed1<\/a>\u00a0v\u00e0o th\u00e1ng 5 r\u1eb1ng h\u1ecd s\u1ebd s\u1eed d\u1ee5ng Grace trong Venado, m\u1ed9t si\u00eau m\u00e1y t\u00ednh AI 10\u00a0<a href=\"https:\/\/blogs.nvidia.com\/blog\/2022\/07\/26\/what-is-an-exaflop\/\">exaflop<\/a>\u00a0s\u1ebd th\u00fac \u0111\u1ea9y c\u00f4ng vi\u1ec7c c\u1ee7a ph\u00f2ng th\u00ed nghi\u1ec7m trong c\u00e1c l\u0129nh v\u1ef1c nh\u01b0 khoa h\u1ecdc v\u1eadt li\u1ec7u v\u00e0 n\u0103ng l\u01b0\u1ee3ng t\u00e1i t\u1ea1o.\u00a0Trong khi \u0111\u00f3, c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u \u1edf Ch\u00e2u \u00c2u v\u00e0 Ch\u00e2u \u00c1 \u0111ang \u0111\u00e1nh gi\u00e1 Grace \u0111\u1ed1i v\u1edbi c\u00e1c workload c\u1ee7a h\u1ecd.<\/p>\n<p>NVIDIA Grace hi\u1ec7n \u0111ang t\u1ea1o m\u1eabu v\u00e0 s\u1ea3n xu\u1ea5t v\u00e0o n\u1eeda cu\u1ed1i n\u0103m nay.\u00a0<a class=\"iblink\" href=\"\/asus\/\">ASUS<\/a>, Atos, GIGABYTE, Hewlett Packard Enterprise, QCT, <a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a>, Wistron v\u00e0 ZT Systems \u0111ang x\u00e2y d\u1ef1ng c\u00e1c m\u00e1y ch\u1ee7 c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng n\u00f3.<\/p>\n<h2>T\u00ecm hi\u1ec3u s\u00e2u v\u1ec1 \u0110i\u1ec7n to\u00e1n b\u1ec1n v\u1eefng<\/h2>\n<p>\u0110\u1ec3 \u0111i s\u00e2u v\u00e0o chi ti\u1ebft, h\u00e3y \u0111\u1ecdc <a href=\"https:\/\/developer.nvidia.com\/blog\/nvidia-grace-cpu-superchip-architecture-in-depth\/\">s\u00e1ch tr\u1eafng<\/a>\u00a0n\u00e0y\u00a0v\u1ec1 ki\u1ebfn \u200b\u200btr\u00fac Grace.<\/p>\n<p>T\u00ecm hi\u1ec3u th\u00eam v\u1ec1 \u0111i\u1ec7n to\u00e1n b\u1ec1n v\u1eefng t\u1eeb phi\u00ean n\u00e0y t\u1ea1i NVIDIA GTC: <strong><a href=\"https:\/\/nvda.ws\/3E2NU2W\"><em>Three Strategies to Maximize Your Organization&#8217;s Sustainability and Success in an End-to-End AI World.<\/em><\/a><\/strong><\/p>\n<p>\u0110\u1ecdc\u00a0<a href=\"https:\/\/nvda.ws\/3jMKg6F\">s\u00e1ch tr\u1eafng<\/a> v\u1ec1 NVIDIA <a class=\"iblink\" href=\"\/blog\/tag\/bluefield\/\">BlueField<\/a> DPU\u00a0\u0111\u1ec3 t\u00ecm hi\u1ec3u c\u00e1ch x\u00e2y d\u1ef1ng m\u1ea1ng l\u01b0\u1edbi ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng.<\/p>\n<p>V\u00e0 xem b\u00e0i ph\u00e1t bi\u1ec3u quan tr\u1ecdng t\u1ea1i GTC c\u1ee7a ng\u01b0\u1eddi s\u00e1ng l\u1eadp ki\u00eam Gi\u00e1m \u0111\u1ed1c \u0111i\u1ec1u h\u00e0nh NVIDIA &#8211; Jensen Huang \u0111\u1ec3 c\u00f3 \u0111\u01b0\u1ee3c b\u1ee9c tranh to\u00e0n c\u1ea3nh.<\/p>\n<p><iframe loading=\"lazy\" title=\"GTC 2023 Keynote with NVIDIA CEO Jensen Huang\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/DiGB5uAYKAg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p><em>Theo\u00a0<\/em>NVIDIA<\/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","protected":false},"excerpt":{"rendered":"<p>C&aacute;c &#7913;ng d&#7909;ng ph&#7893; th&ocirc;ng &#273;&#7841;t &#273;&#432;&#7907;c g&#7845;p 2 l&#7847;n hi&#7879;u su&#7845;t ti&#7871;t ki&#7879;m &#273;i&#7879;n n&#259;ng so v&#7899;i c&aacute;c n&#7873;n t&#7843;ng x86 &#273;&#7889;i v&#7899;i microservices, ph&acirc;n t&iacute;ch, m&ocirc; ph&#7887;ng,&hellip; K&#7871;t qu&#7843; &#273;&atilde; c&oacute; v&agrave; ch&uacute;ng ch&#7881; ra m&#7897;t k&#7927; nguy&ecirc;n m&#7899;i trong &#273;i&#7879;n to&aacute;n ti&#7871;t ki&#7879;m n&#259;ng l&#432;&#7907;ng. Trong c&aacute;c th&#7917; nghi&#7879;m v&#7873; nh&#7919;ng workload&#8230;<\/p>\n","protected":false},"author":29,"featured_media":15347,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[920,88,1314],"class_list":["post-15334","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","tag-computing","tag-data-center","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CPU Grace c\u1ee7a NVIDIA m\u1edf \u0111\u01b0\u1eddng \u0111\u1ebfn v\u1edbi \u0111i\u1ec7n to\u00e1n ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng cho m\u1ecdi trung t\u00e2m d\u1eef li\u1ec7u - 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\/nvidia-grace-cpu-mo-duong-nhanh-chong-cho-dien-toan-tiet-kiem-nang-luong-doi-voi-moi-trung-tam-du-lieu-p15334\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"CPU Grace c\u1ee7a NVIDIA m\u1edf \u0111\u01b0\u1eddng \u0111\u1ebfn v\u1edbi \u0111i\u1ec7n to\u00e1n ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng cho m\u1ecdi trung t\u00e2m d\u1eef li\u1ec7u - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"C&aacute;c &#7913;ng d&#7909;ng ph&#7893; th&ocirc;ng &#273;&#7841;t &#273;&#432;&#7907;c g&#7845;p 2 l&#7847;n hi&#7879;u su&#7845;t ti&#7871;t ki&#7879;m &#273;i&#7879;n n&#259;ng so v&#7899;i c&aacute;c n&#7873;n t&#7843;ng x86 &#273;&#7889;i v&#7899;i microservices, ph&acirc;n t&iacute;ch, m&ocirc; ph&#7887;ng,&hellip; K&#7871;t qu&#7843; &#273;&atilde; c&oacute; v&agrave; ch&uacute;ng ch&#7881; ra m&#7897;t k&#7927; nguy&ecirc;n m&#7899;i trong &#273;i&#7879;n to&aacute;n ti&#7871;t ki&#7879;m n&#259;ng l&#432;&#7907;ng. 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