{"id":11627,"date":"2022-03-23T05:14:10","date_gmt":"2022-03-22T22:14:10","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=11627"},"modified":"2023-06-09T14:39:22","modified_gmt":"2023-06-09T07:39:22","slug":"nvidia-gioi-thieu-dgx-h100-ha-tang-ai-cho-doanh-nghiep-tien-tien-nhat-the-gioi","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nvidia-gioi-thieu-dgx-h100-ha-tang-ai-cho-doanh-nghiep-tien-tien-nhat-the-gioi-p11627\/","title":{"rendered":"NVIDIA gi\u1edbi thi\u1ec7u h\u1ec7 th\u1ed1ng DGX H100 &#8211; H\u1ea1 t\u1ea7ng AI cho doanh nghi\u1ec7p ti\u00ean ti\u1ebfn nh\u1ea5t th\u1ebf gi\u1edbi"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p><strong><em>K\u1ebft h\u1ee3p v\u1edbi h\u1ec7 th\u1ed1ng chuy\u1ec3n m\u1ea1ch NVLink m\u1edbi, m\u1ed7i DGX SuperPOD cung c\u1ea5p 1 Exaflops hi\u1ec7u su\u1ea5t AI, Si\u00eau m\u00e1y t\u00ednh NVIDIA Eos m\u1edbi \u0111\u01b0\u1ee3c k\u1ef3 v\u1ecdng s\u1ebd tr\u1edf th\u00e0nh h\u1ec7 th\u1ed1ng AI nhanh nh\u1ea5t th\u1ebf gi\u1edbi, b\u1eaft \u0111\u1ea7u ngay cho kh\u00e1ch h\u00e0ng th\u00f4ng qua d\u1ecbch v\u1ee5 DGX Foundry m\u1edf r\u1ed9ng.<\/em><\/strong><\/p>\n<p><strong>T\u1ea1i GTC22<\/strong>\u00a0&#8211; NVIDIA c\u00f4ng b\u1ed1 h\u1ec7 th\u1ed1ng NVIDIA DGX th\u1ebf h\u1ec7 th\u1ee9 t\u01b0, n\u1ec1n t\u1ea3ng AI \u0111\u1ea7u ti\u00ean tr\u00ean th\u1ebf gi\u1edbi \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng v\u1edbi c\u00e1c\u00a0GPU NVIDIA H100\u00a0Tensor Core m\u1edbi.<\/p>\n<p>H\u1ec7 th\u1ed1ng DGX H100\u00a0cung c\u1ea5p quy m\u00f4 c\u1ea7n thi\u1ebft \u0111\u1ec3 \u0111\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u t\u00ednh to\u00e1n kh\u1ed5ng l\u1ed3 c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn, c\u00e1c h\u1ec7 th\u1ed1ng khuy\u1ebfn ngh\u1ecb, nghi\u00ean c\u1ee9u y t\u1ebf v\u00e0 l\u0129nh v\u1ef1c khoa h\u1ecdc kh\u00ed h\u1eadu. 8 GPU NVIDIA H100 \u0111\u01b0\u1ee3c \u0111\u00f3ng g\u00f3i tr\u00ean m\u1ed7i h\u1ec7 th\u1ed1ng v\u00e0 k\u1ebft n\u1ed1i qua NVIDIA NVLink, m\u1ed7i DGX H100 cung c\u1ea5p 32 petaflops hi\u1ec7u su\u1ea5t AI \u1edf \u0111\u1ed9 ch\u00ednh x\u00e1c FP8 m\u1edbi &#8211; g\u1ea5p 6 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.<\/p>\n<p>H\u1ec7 th\u1ed1ng DGX H100 l\u00e0 n\u1ec1n m\u00f3ng x\u00e2y d\u1ef1ng n\u00ean n\u1ec1n t\u1ea3ng c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI\u00a0NVIDIA DGX POD\u00a0v\u00e0\u00a0NVIDIA DGX SuperPOD\u00a0th\u1ebf h\u1ec7 ti\u1ebfp theo.\u00a0Ki\u1ebfn tr\u00fac DGX SuperPOD m\u1edbi nh\u1ea5t mang l\u1ea1i c\u00f4ng ngh\u1ec7\u00a0NVIDIA NVLink Switch System\u00a0m\u1edbi c\u00f3 th\u1ec3 k\u1ebft n\u1ed1i t\u1ed1i \u0111a 32 node v\u1edbi t\u1ed5ng c\u1ed9ng 256 GPU H100.<\/p>\n<p>Cung c\u1ea5p 1 exaflops hi\u1ec7u su\u1ea5t AI FP8, g\u1ea5p 6 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 ti\u1ec1n nhi\u1ec7m c\u1ee7a n\u00f3, DGX SuperPOD th\u1ebf h\u1ec7 ti\u1ebfp theo m\u1edf r\u1ed9ng ranh gi\u1edbi c\u1ee7a AI v\u1edbi kh\u1ea3 n\u0103ng ch\u1ea1y c\u00e1c kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c LLM kh\u1ed5ng l\u1ed3 v\u1edbi h\u00e0ng ngh\u00ecn t\u1ef7 th\u00f4ng s\u1ed1.<\/p>\n<p>\u00d4ng Jensen Huang, Founder v\u00e0 CEO c\u1ee7a NVIDIA cho bi\u1ebft: &#8220;AI \u0111\u00e3 c\u01a1 b\u1ea3n thay \u0111\u1ed5i nh\u1eefng g\u00ec ph\u1ea7n m\u1ec1m c\u00f3 th\u1ec3 l\u00e0m v\u00e0 c\u00e1ch n\u00f3 \u0111\u01b0\u1ee3c s\u1ea3n xu\u1ea5t. C\u00e1c c\u00f4ng ty \u0111ang c\u00e1ch m\u1ea1ng h\u00f3a c\u00e1c ng\u00e0nh c\u00f4ng nghi\u1ec7p v\u1edbi AI \u0111\u00e3 nh\u1eadn ra s\u1ef1 quan tr\u1ecdng c\u1ee7a h\u1ea1 t\u1ea7ng AI c\u1ee7a h\u1ecd. Nh\u1eefng h\u1ec7 th\u1ed1ng DGX H100 m\u1edbi c\u1ee7a ch\u00fang t\u00f4i s\u1ebd cung c\u1ea5p s\u1ee9c m\u1ea1nh cho c\u00e1c nh\u00e0 m\u00e1y AI doanh nghi\u1ec7p \u0111\u1ec3 l\u1ecdc d\u1eef li\u1ec7u th\u00e0nh nh\u1eefng t\u00e0i nguy\u00ean qu\u00fd gi\u00e1 nh\u1ea5t &#8211; \u0111\u00f3 l\u00e0 tr\u00ed th\u00f4ng minh&#8221;.<\/p>\n<h3>NVIDIA Eos &#8211; Si\u00eau m\u00e1y t\u00ednh AI nhanh nh\u1ea5t th\u1ebf gi\u1edbi<\/h3>\n<p>NVIDIA s\u1ebd l\u00e0 c\u00f4ng ty \u0111\u1ea7u ti\u00ean x\u00e2y d\u1ef1ng DGX SuperPOD v\u1edbi ki\u1ebfn \u200b\u200btr\u00fac AI m\u1edbi \u0111\u1ed9t ph\u00e1 \u0111\u1ec3 h\u1ed7 tr\u1ee3 c\u00f4ng vi\u1ec7c c\u1ee7a c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u NVIDIA trong vi\u1ec7c th\u00fac \u0111\u1ea9y khoa h\u1ecdc kh\u00ed h\u1eadu, sinh h\u1ecdc k\u1ef9 thu\u1eadt s\u1ed1 v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a AI.<\/p>\n<p>Si\u00eau m\u00e1y t\u00ednh Eos \u0111\u01b0\u1ee3c k\u1ef3 v\u1ecdng \u200b\u200bs\u1ebd l\u00e0 h\u1ec7 th\u1ed1ng AI nhanh nh\u1ea5t th\u1ebf gi\u1edbi sau khi n\u00f3 b\u1eaft \u0111\u1ea7u ho\u1ea1t \u0111\u1ed9ng v\u00e0o cu\u1ed1i n\u0103m nay, c\u00f3 t\u1ed5ng c\u1ed9ng 576 h\u1ec7 th\u1ed1ng DGX H100 v\u1edbi 4.608 GPU DGX H100.<\/p>\n<p>NVIDIA Eos \u0111\u01b0\u1ee3c d\u1ef1 \u0111o\u00e1n s\u1ebd cung c\u1ea5p 18,4 exaflops hi\u1ec7u su\u1ea5t t\u00ednh to\u00e1n AI, x\u1eed l\u00fd AI nhanh h\u01a1n g\u1ea5p 4 l\u1ea7n so v\u1edbi si\u00eau m\u00e1y t\u00ednh Fugaku \u1edf Nh\u1eadt B\u1ea3n, hi\u1ec7n l\u00e0 h\u1ec7 th\u1ed1ng nhanh nh\u1ea5t th\u1ebf gi\u1edbi.\u00a0\u0110\u1ed1i v\u1edbi khoa h\u1ecdc m\u00e1y t\u00ednh truy\u1ec1n th\u1ed1ng, Eos d\u1ef1 ki\u1ebfn \u200b\u200bs\u1ebd cung c\u1ea5p hi\u1ec7u su\u1ea5t 275 petaflops.<\/p>\n<p>Eos s\u1ebd \u0111\u00f3ng vai tr\u00f2 l\u00e0 b\u1ea3n thi\u1ebft k\u1ebf cho c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI ti\u00ean ti\u1ebfn t\u1eeb NVIDIA, c\u0169ng nh\u01b0 c\u00e1c \u0111\u1ed1i t\u00e1c OEM v\u00e0 cloud c\u1ee7a h\u1ecd.<\/p>\n<h3>AI doanh nghi\u1ec7p m\u1edf r\u1ed9ng d\u1ec5 d\u00e0ng v\u1edbi DGX H100, DGX POD, DGX SuperPOD<\/h3>\n<p>C\u00e1c h\u1ec7 th\u1ed1ng DGX H100 d\u1ec5 d\u00e0ng m\u1edf r\u1ed9ng quy m\u00f4 \u0111\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u c\u1ee7a AI khi doanh nghi\u1ec7p ph\u00e1t tri\u1ec3n t\u1eeb c\u00e1c d\u1ef1 \u00e1n ban \u0111\u1ea7u \u0111\u1ebfn tri\u1ec3n khai r\u1ed9ng r\u00e3i.<\/p>\n<p>Ngo\u00e0i t\u00e1m GPU H100 v\u1edbi t\u1ed5ng s\u1ed1 640 t\u1ef7 b\u00f3ng b\u00e1n d\u1eabn, m\u1ed7i h\u1ec7 th\u1ed1ng DGX H100 bao g\u1ed3m hai\u00a0NVIDIA BlueField-3 DPU\u00a0\u0111\u1ec3 gi\u1ea3m t\u1ea3i, t\u0103ng t\u1ed1c v\u00e0 c\u00f4 l\u1eadp c\u00e1c d\u1ecbch v\u1ee5 m\u1ea1ng, l\u01b0u tr\u1eef v\u00e0 b\u1ea3o m\u1eadt n\u00e2ng cao.<\/p>\n<p>T\u00e1m networking adapter NVIDIA ConnectX-7 Quantum-2 InfiniBand\u00a0cung c\u1ea5p th\u00f4ng l\u01b0\u1ee3ng 400Gb\/s \u0111\u1ec3 k\u1ebft n\u1ed1i v\u1edbi h\u1ec7 th\u1ed1ng t\u00ednh to\u00e1n v\u00e0 l\u01b0u tr\u1eef &#8211; g\u1ea5p \u0111\u00f4i t\u1ed1c \u0111\u1ed9 c\u1ee7a h\u1ec7 th\u1ed1ng th\u1ebf h\u1ec7 tr\u01b0\u1edbc.\u00a0V\u00e0 NVLink th\u1ebf h\u1ec7 th\u1ee9 t\u01b0, k\u1ebft h\u1ee3p v\u1edbi NVSwitch, cung c\u1ea5p k\u1ebft n\u1ed1i 900GB\/s gi\u1eefa m\u1ecdi GPU trong m\u1ed7i h\u1ec7 th\u1ed1ng DGX H100, nhi\u1ec1u h\u01a1n 1,5 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.<\/p>\n<p>H\u1ec7 th\u1ed1ng DGX H100 s\u1eed d\u1ee5ng dual CPU x86 v\u00e0 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c k\u1ebft h\u1ee3p v\u1edbi NVIDIA networking v\u00e0 storage t\u1eeb c\u00e1c \u0111\u1ed1i t\u00e1c c\u1ee7a NVIDIA \u0111\u1ec3 t\u1ea1o n\u00ean c\u00e1c DGX POD linh ho\u1ea1t cho \u0111i\u1ec7n to\u00e1n AI \u1edf b\u1ea5t k\u1ef3 k\u00edch th\u01b0\u1edbc n\u00e0o.<\/p>\n<p>DGX SuperPOD cung c\u1ea5p m\u1ed9t trung t\u00e2m AI tuy\u1ec7t h\u1ea3o cho doanh nghi\u1ec7p c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng v\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng DGX H100.\u00a0C\u00e1c node DGX H100 v\u00e0 GPU H100 trong m\u1ed9t DGX SuperPOD \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i b\u1edfi m\u1ed9t NVLink Switch System v\u00e0 NVIDIA Quantum-2 InfiniBand cung c\u1ea5p t\u1ed5ng b\u0103ng th\u00f4ng 70TB\/s &#8211; cao h\u01a1n 11 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.\u00a0Storage t\u1eeb c\u00e1c \u0111\u1ed1i t\u00e1c c\u1ee7a NVIDIA s\u1ebd \u0111\u01b0\u1ee3c ki\u1ec3m tra v\u00e0 ch\u1ee9ng nh\u1eadn \u0111\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u c\u1ee7a t\u00ednh to\u00e1n AI DGX SuperPOD.<\/p>\n<p>Nhi\u1ec1u DGX SuperPOD Unit c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c k\u1ebft h\u1ee3p \u0111\u1ec3 cung c\u1ea5p hi\u1ec7u su\u1ea5t AI c\u1ea7n thi\u1ebft cho ph\u00e1t tri\u1ec3n c\u00e1c m\u00f4 h\u00ecnh l\u1edbn trong c\u00e1c ng\u00e0nh nh\u01b0 \u00f4 t\u00f4, ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe, s\u1ea3n xu\u1ea5t, truy\u1ec1n th\u00f4ng, b\u00e1n l\u1ebb v\u00e0 h\u01a1n th\u1ebf n\u1eefa.<\/p>\n<h3>Gi\u1ea3i ph\u00e1p NVIDIA DGX Foundry t\u0103ng t\u1ed1c \u0111\u1ed9 th\u00e0nh c\u00f4ng c\u1ee7a kh\u00e1ch h\u00e0ng v\u1edbi DGX SuperPOD<\/h3>\n<p>Gi\u1ea3i ph\u00e1p ph\u00e1t tri\u1ec3n\u00a0NVIDIA DGX Foundry\u00a0\u0111ang m\u1edf r\u1ed9ng tr\u00ean to\u00e0n th\u1ebf gi\u1edbi \u0111\u1ec3 cung c\u1ea5p cho c\u00e1c kh\u00e1ch h\u00e0ng DGX SuperPOD quy\u1ec1n truy c\u1eadp ngay v\u00e0o c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng \u0111i\u1ec7n to\u00e1n ti\u00ean ti\u1ebfn trong khi h\u1ec7 th\u1ed1ng c\u1ee7a h\u1ecd \u0111ang \u0111\u01b0\u1ee3c c\u00e0i \u0111\u1eb7t.\u00a0C\u00e1c \u0111\u1ecba \u0111i\u1ec3m m\u1edbi \u0111\u01b0\u1ee3c th\u00eam v\u00e0o \u1edf B\u1eafc M\u1ef9, Ch\u00e2u \u00c2u v\u00e0 Ch\u00e2u \u00c1 cung c\u1ea5p kh\u1ea3 n\u0103ng truy c\u1eadp t\u1eeb xa v\u00e0o c\u00e1c DGX SuperPOD ho\u1eb7c m\u1ed9t ph\u1ea7n c\u1ee7a ch\u00fang.<\/p>\n<p>DGX Foundry bao g\u1ed3m ph\u1ea7n m\u1ec1m NVIDIA Base Command, cho ph\u00e9p kh\u00e1ch h\u00e0ng d\u1ec5 d\u00e0ng qu\u1ea3n l\u00fd v\u00f2ng \u0111\u1eddi ph\u00e1t tri\u1ec3n AI to\u00e0n di\u1ec7n tr\u00ean h\u1ea1 t\u1ea7ng DGX SuperPOD.<\/p>\n<p>C\u00e1c doanh nghi\u1ec7p \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n c\u00f3 th\u1ec3 tr\u1ea3i nghi\u1ec7m NVIDIA Base Command v\u00e0 c\u00e1c h\u1ec7 th\u1ed1ng DGX mi\u1ec5n ph\u00ed th\u00f4ng qua c\u00e1c lab l\u1ef1a ch\u1ecdn c\u00f3 s\u1eb5n th\u00f4ng qua\u00a0NVIDIA LaunchPad\u00a0\u0111\u01b0\u1ee3c host t\u1ea1i c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u Equinix International Business Exchange (IBX) tr\u00ean kh\u1eafp th\u1ebf gi\u1edbi.<\/p>\n<h3>MLOps, ph\u1ea7n m\u1ec1m Enterprise AI h\u1ed7 tr\u1ee3 nhu c\u1ea7u \u00e1p d\u1ee5ng AI ng\u00e0y c\u00e0ng t\u0103ng c\u1ee7a kh\u00e1ch h\u00e0ng<\/h3>\n<p>\u0110\u1ec3 h\u1ed7 tr\u1ee3 kh\u00e1ch h\u00e0ng DGX \u0111ang v\u1eadn h\u00e0nh ph\u00e1t tri\u1ec3n AI, c\u00e1c gi\u1ea3i ph\u00e1p MLOps t\u1eeb c\u00e1c\u00a0\u0111\u1ed1i t\u00e1c\u00a0NVIDIA DGX-Ready Software bao g\u1ed3m Domino Data Lab,\u00a0<strong>Run:ai<\/strong>\u00a0v\u00e0 Weights &amp; Biases \u0111ang tham gia v\u00e0o ch\u01b0\u01a1ng tr\u00ecnh \u201cNVIDIA AI Accelerated\u201d.<\/p>\n<p>C\u00e1c \u1ee9ng d\u1ee5ng MLOps t\u1eeb c\u00e1c \u0111\u1ed1i t\u00e1c tham gia s\u1ebd \u0111\u01b0\u1ee3c x\u00e1c th\u1ef1c \u0111\u1ec3 cung c\u1ea5p cho kh\u00e1ch h\u00e0ng DGX quy tr\u00ecnh l\u00e0m vi\u1ec7c c\u1ea5p doanh nghi\u1ec7p v\u00e0 c\u00e1c gi\u1ea3i ph\u00e1p qu\u1ea3n l\u00fd cluster, l\u1eadp l\u1ecbch v\u00e0 \u0111i\u1ec1u ph\u1ed1i.<\/p>\n<p>Ngo\u00e0i ra, c\u00e1c h\u1ec7 th\u1ed1ng NVIDIA DGX hi\u1ec7n bao g\u1ed3m b\u1ed9\u00a0ph\u1ea7n m\u1ec1m\u00a0<a class=\"iblink\" href=\"\/solution\/infra\/ai\/bo-giai-phap-trien-khai-ai-cap-doanh-nghiep-nvidia-ai-enterprise-p4126\/\">NVIDIA AI Enterprise<\/a> m\u1edbi h\u1ed7 tr\u1ee3 h\u1ea1 t\u1ea7ng bare-metal.\u00a0Kh\u00e1ch h\u00e0ng c\u1ee7a DGX c\u00f3 th\u1ec3 \u0111\u1ea9y nhanh c\u00f4ng vi\u1ec7c c\u1ee7a h\u1ecd v\u1edbi c\u00e1c m\u00f4 h\u00ecnh n\u1ec1n t\u1ea3ng, toolkit v\u00e0 framework NVIDIA AI \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc c\u00f3 trong b\u1ed9 ph\u1ea7n m\u1ec1m, ch\u1eb3ng h\u1ea1n nh\u01b0\u00a0NVIDIA RAPIDS,\u00a0NVIDIA TAO Toolkit,\u00a0NVIDIA Triton Inference Server\u00a0v\u00e0 h\u01a1n th\u1ebf n\u1eefa.<\/p>\n<h3>DGX-Ready Managed Services &#8211; \u0110\u01a1n gi\u1ea3n h\u00f3a tri\u1ec3n khai AI<\/h3>\n<p>Khi vi\u1ec7c \u00e1p d\u1ee5ng AI doanh nghi\u1ec7p ng\u00e0y c\u00e0ng t\u0103ng, kh\u00e1ch h\u00e0ng \u0111ang t\u00ecm ki\u1ebfm nhi\u1ec1u t\u00f9y ch\u1ecdn h\u01a1n \u0111\u1ec3 b\u1ed5 sung c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng c\u1ea7n thi\u1ebft \u0111\u1ec3 chuy\u1ec3n \u0111\u1ed5i doanh nghi\u1ec7p c\u1ee7a h\u1ecd.\u00a0NVIDIA \u0111ang gi\u1edbi thi\u1ec7u ch\u01b0\u01a1ng tr\u00ecnh\u00a0DGX-Ready Managed Services\u00a0m\u1edbi \u0111\u1ec3 h\u1ed7 tr\u1ee3 nh\u1eefng kh\u00e1ch h\u00e0ng mu\u1ed1n l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c nh\u00e0 cung c\u1ea5p d\u1ecbch v\u1ee5 \u0111\u1ec3 gi\u00e1m s\u00e1t c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng c\u1ee7a h\u1ecd.<\/p>\n<p>Deloitte l\u00e0 nh\u00e0 cung c\u1ea5p to\u00e0n c\u1ea7u \u0111\u1ea7u ti\u00ean h\u1ee3p t\u00e1c v\u1edbi NVIDIA trong ch\u01b0\u01a1ng tr\u00ecnh v\u00e0 s\u1ebd \u0111\u01b0\u1ee3c ch\u1ee9ng nh\u1eadn \u0111\u1ec3 h\u1ed7 tr\u1ee3 kh\u00e1ch h\u00e0ng \u1edf Ch\u00e2u \u00c2u, B\u1eafc M\u1ef9 v\u00e0 Ch\u00e2u \u00c1, c\u00f9ng v\u1edbi c\u00e1c nh\u00e0 cung c\u1ea5p khu v\u1ef1c CGit, ePlus inc.,\u00a0Insight Enterprises\u00a0v\u00e0\u00a0PTC System.<\/p>\n<p>Jim Rowan, l\u00e3nh \u0111\u1ea1o t\u1ea1i Deloitte Consulting LLP cho bi\u1ebft: \u201cNh\u1eefng \u0111\u1ed9t ph\u00e1 kinh doanh c\u00f3 \u0111\u01b0\u1ee3c nh\u1edd AI ch\u1ec9 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c nh\u1eadn ra n\u1ebfu c\u00e1c doanh nghi\u1ec7p c\u00f3 kh\u1ea3 n\u0103ng t\u00edch h\u1ee3p c\u00f4ng ngh\u1ec7 n\u00e0y v\u00e0o ho\u1ea1t \u0111\u1ed9ng c\u1ee7a m\u00ecnh\u201c. &#8220;V\u1edbi ch\u01b0\u01a1ng tr\u00ecnh DGX-Ready Managed Services m\u1edbi, kh\u00e1ch h\u00e0ng c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng \u00e1p d\u1ee5ng AI h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi v\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng NVIDIA DGX v\u00e0 ph\u1ea7n m\u1ec1m \u0111\u01b0\u1ee3c qu\u1ea3n l\u00fd b\u1edfi c\u00e1c chuy\u00ean gia Deloittle tr\u00ean kh\u1eafp th\u1ebf gi\u1edbi.&#8221;<\/p>\n<h3>DGX-Ready Lifecycle Management &#8211; Cho ph\u00e9p n\u00e2ng c\u1ea5p d\u1ec5 d\u00e0ng<\/h3>\n<p>Kh\u00e1ch h\u00e0ng hi\u1ec7n c\u00f3 kh\u1ea3 n\u0103ng n\u00e2ng c\u1ea5p h\u1ec7 th\u1ed1ng DGX hi\u1ec7n c\u00f3 c\u1ee7a m\u00ecnh v\u1edbi n\u1ec1n t\u1ea3ng NVIDIA DGX m\u1edbi nh\u1ea5t th\u00f4ng qua ch\u01b0\u01a1ng tr\u00ecnh DGX-Ready Lifecycle Management\u00a0m\u1edbi.<\/p>\n<p>C\u00e1c \u0111\u1ed1i t\u00e1c k\u00eanh c\u1ee7a NVIDIA tham gia v\u00e0o ch\u01b0\u01a1ng tr\u00ecnh DGX-Ready Lifecycle Management s\u1ebd c\u00f3 th\u1ec3 l\u00e0m m\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng DGX th\u1ebf h\u1ec7 tr\u01b0\u1edbc cho vi\u1ec7c mua b\u00e1n b\u1edfi c\u00e1c kh\u00e1ch h\u00e0ng m\u1edbi, m\u1edf r\u1ed9ng truy c\u1eadp v\u00e0o c\u00e1c h\u1ec7 th\u1ed1ng chung cho h\u1ea1 t\u1ea7ng AI c\u1ee7a th\u1ebf gi\u1edbi.<\/p>\n<p>C\u00e1c h\u1ec7 th\u1ed1ng NVIDIA DGX H100, DGX POD v\u00e0 DGX SuperPOD s\u1ebd c\u00f3 s\u1eb5n t\u1eeb c\u00e1c \u0111\u1ed1i t\u00e1c to\u00e0n c\u1ea7u c\u1ee7a NVIDIA b\u1eaft \u0111\u1ea7u t\u1eeb qu\u00fd 3.<\/p>\n<p>Kh\u00e1ch h\u00e0ng c\u0169ng c\u00f3 th\u1ec3 ch\u1ecdn tri\u1ec3n khai c\u00e1c h\u1ec7 th\u1ed1ng DGX t\u1ea1i c\u00e1c h\u1ea1 t\u1ea7ng ch\u1ed7 \u0111\u1eb7t do c\u00e1c \u0111\u1ed1i t\u00e1c c\u1ee7a NVIDIA DGX-Ready Data Center v\u1eadn h\u00e0nh bao g\u1ed3m c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u Cyxtera, Digital Realty v\u00e0 Equinix IBX.<\/p>\n<p>\u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1c h\u1ec7 th\u1ed1ng NVIDIA DGX, h\u00e3y xem\u00a0<a href=\"https:\/\/youtu.be\/39ubNuxnrK8?t=2157\">keynote<\/a> GTC 2022\u00a0c\u1ee7a Huang v\u00e0\u00a0<a href=\"https:\/\/www.nvidia.com\/gtc\/?ncid=ref-pr-649229#cid=gtcs22_ref-pr_en-us\">\u0111\u0103ng k\u00fd<\/a> GTC mi\u1ec5n ph\u00ed\u00a0\u0111\u1ec3 tham d\u1ef1 c\u00e1c phi\u00ean h\u1ecdp v\u1edbi NVIDIA v\u00e0 c\u00e1c nh\u00e0 l\u00e3nh \u0111\u1ea1o trong ng\u00e0nh.<\/p>\n<p><em>Theo<\/em>\u00a0NVIDIA News<\/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>K&#7871;t h&#7907;p v&#7899;i h&#7879; th&#7889;ng chuy&#7875;n m&#7841;ch NVLink m&#7899;i, m&#7895;i DGX SuperPOD cung c&#7845;p 1 Exaflops hi&#7879;u su&#7845;t AI, Si&ecirc;u m&aacute;y t&iacute;nh NVIDIA Eos m&#7899;i &#273;&#432;&#7907;c k&#7923; v&#7885;ng s&#7869; tr&#7903; th&agrave;nh h&#7879; th&#7889;ng AI nhanh nh&#7845;t th&#7871; gi&#7899;i, b&#7855;t &#273;&#7847;u ngay cho kh&aacute;ch h&agrave;ng th&ocirc;ng qua d&#7883;ch v&#7909; DGX Foundry m&#7903; r&#7897;ng. T&#7841;i GTC22&nbsp;&ndash; NVIDIA&#8230;<\/p>\n","protected":false},"author":29,"featured_media":11685,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,1],"tags":[1364,751,1314],"class_list":["post-11627","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-tong-hop","tag-dgx","tag-h100","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA gi\u1edbi thi\u1ec7u h\u1ec7 th\u1ed1ng DGX H100 - H\u1ea1 t\u1ea7ng AI cho doanh nghi\u1ec7p ti\u00ean ti\u1ebfn nh\u1ea5t th\u1ebf gi\u1edbi - 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-gioi-thieu-dgx-h100-ha-tang-ai-cho-doanh-nghiep-tien-tien-nhat-the-gioi-p11627\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"NVIDIA gi\u1edbi thi\u1ec7u h\u1ec7 th\u1ed1ng DGX H100 - H\u1ea1 t\u1ea7ng AI cho doanh nghi\u1ec7p ti\u00ean ti\u1ebfn nh\u1ea5t th\u1ebf gi\u1edbi - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"K&#7871;t h&#7907;p v&#7899;i h&#7879; th&#7889;ng chuy&#7875;n m&#7841;ch NVLink m&#7899;i, m&#7895;i DGX SuperPOD cung c&#7845;p 1 Exaflops hi&#7879;u su&#7845;t AI, Si&ecirc;u m&aacute;y t&iacute;nh NVIDIA Eos m&#7899;i &#273;&#432;&#7907;c k&#7923; v&#7885;ng s&#7869; tr&#7903; th&agrave;nh h&#7879; th&#7889;ng AI nhanh nh&#7845;t th&#7871; gi&#7899;i, b&#7855;t &#273;&#7847;u ngay cho kh&aacute;ch h&agrave;ng th&ocirc;ng qua d&#7883;ch v&#7909; DGX Foundry m&#7903; r&#7897;ng. 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