{"id":21777,"date":"2025-04-17T09:59:08","date_gmt":"2025-04-17T02:59:08","guid":{"rendered":"https:\/\/vnso.vn\/?p=21777"},"modified":"2025-04-17T10:35:59","modified_gmt":"2025-04-17T03:35:59","slug":"thue-may-chu-nvidia-a100-tensor-core-gpu-toi-uu-ai-va-hpc","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/thue-may-chu-nvidia-a100-tensor-core-gpu-toi-uu-ai-va-hpc\/","title":{"rendered":"Thu\u00ea M\u00e1y Ch\u1ee7 NVIDIA A100 Tensor Core GPU: T\u1ed1i \u01afu AI v\u00e0 HPC"},"content":{"rendered":"<p>NVIDIA A100 Tensor Core GPU l\u00e0 m\u1ed9t trong nh\u1eefng b\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda ti\u00ean ti\u1ebfn nh\u1ea5t hi\u1ec7n nay, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf nh\u1eb1m t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t cho c\u00e1c t\u00e1c v\u1ee5 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI), ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn v\u00e0 t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao (HPC). D\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Ampere, A100 cung c\u1ea5p m\u1ee9c t\u0103ng t\u1ed1c v\u01b0\u1ee3t tr\u1ed9i v\u1edbi hi\u1ec7u su\u1ea5t cao g\u1ea5p 20 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 Volta tr\u01b0\u1edbc \u0111\u00f3\u200b.<\/p>\n<p>H\u00e3y c\u00f9ng <a href=\"https:\/\/vnso.vn\/en\/\">C\u00f4ng Ngh\u1ec7 VNSO<\/a> t\u00ecm hi\u1ec3u Tensor Core GPU l\u00e0 g\u00ec v\u00e0 Server AI NVIDIA A100 c\u00f3 hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i nh\u01b0 th\u1ebf n\u00e0o.<\/p>\n<h3>Tensor v\u00e0 Tensor Core GPU l\u00e0 g\u00ec?<\/h3>\n<p>Trong to\u00e1n h\u1ecdc v\u00e0 h\u1ecdc s\u00e2u (deep learning), <strong>Tensor<\/strong> l\u00e0 m\u1ed9t c\u1ea5u tr\u00fac d\u1eef li\u1ec7u \u0111a chi\u1ec1u \u2013 l\u00e0 s\u1ef1 m\u1edf r\u1ed9ng c\u1ee7a ma tr\u1eadn t\u1eeb hai chi\u1ec1u l\u00ean nhi\u1ec1u chi\u1ec1u h\u01a1n. V\u00ed d\u1ee5, h\u00ecnh \u1ea3nh m\u00e0u th\u01b0\u1eddng \u0111\u01b0\u1ee3c bi\u1ec3u di\u1ec5n b\u1eb1ng tensor 3 chi\u1ec1u (chi\u1ec1u cao, chi\u1ec1u r\u1ed9ng, k\u00eanh m\u00e0u).<\/p>\n<p><strong>Tensor Core<\/strong> l\u00e0 \u0111\u01a1n v\u1ecb x\u1eed l\u00fd \u0111\u1eb7c bi\u1ec7t b\u00ean trong GPU c\u1ee7a NVIDIA, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c ph\u00e9p to\u00e1n tensor v\u1edbi t\u1ed1c \u0111\u1ed9 cao. Trong A100, th\u1ebf h\u1ec7 th\u1ee9 ba c\u1ee7a Tensor Core h\u1ed7 tr\u1ee3 nhi\u1ec1u \u0111\u1ecbnh d\u1ea1ng s\u1ed1 nh\u01b0 FP16, BFLOAT16, TF32, v\u00e0 INT8 \u2013 cho ph\u00e9p th\u1ef1c hi\u1ec7n h\u00e0ng ngh\u00ecn t\u1ec9 ph\u00e9p to\u00e1n m\u1ed7i gi\u00e2y (TFLOPS\/TOPS) cho c\u1ea3 hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u\u200b.<\/p>\n<h3>Ki\u1ebfn tr\u00fac b\u1ed9 nh\u1edb v\u00e0 hi\u1ec7u su\u1ea5t<\/h3>\n<p>A100 s\u1eed d\u1ee5ng b\u1ed9 nh\u1edb HBM2e (High Bandwidth Memory), v\u1edbi b\u0103ng th\u00f4ng l\u00ean \u0111\u1ebfn 2.039 GB\/s trong phi\u00ean b\u1ea3n SXM v\u00e0 1.935 GB\/s trong phi\u00ean b\u1ea3n PCIe. Dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb 80GB gi\u00fap x\u1eed l\u00fd c\u00e1c m\u00f4 h\u00ecnh c\u1ef1c l\u1edbn v\u00e0 t\u1eadp d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3 hi\u1ec7u qu\u1ea3 h\u01a1n\u200b.<\/p>\n<p>Ngo\u00e0i ra, c\u00f4ng ngh\u1ec7 <strong>Multi-Instance GPU (MIG)<\/strong> cho ph\u00e9p chia nh\u1ecf m\u1ed9t GPU th\u00e0nh t\u1ed1i \u0111a 7 \u0111\u01a1n v\u1ecb \u0111\u1ed9c l\u1eadp, m\u1ed7i \u0111\u01a1n v\u1ecb c\u00f3 b\u1ed9 nh\u1edb, cache v\u00e0 nh\u00e2n x\u1eed l\u00fd ri\u00eang \u2013 t\u1ed1i \u01b0u h\u00f3a vi\u1ec7c s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean trong m\u00f4i tr\u01b0\u1eddng trung t\u00e2m d\u1eef li\u1ec7u.<\/p>\n<h3>Giao ti\u1ebfp ph\u1ea7n c\u1ee9ng: PCIe v\u00e0 SXM<\/h3>\n<p>GPU A100 c\u00f3 hai d\u1ea1ng th\u1ee9c v\u1eadt l\u00fd (form factor) ch\u00ednh:<\/p>\n<ul>\n<li><strong>PCIe (Peripheral Component Interconnect Express):<\/strong> \u0110\u00e2y l\u00e0 chu\u1ea9n giao ti\u1ebfp ph\u1ed5 bi\u1ebfn gi\u1eefa card m\u1edf r\u1ed9ng v\u00e0 bo m\u1ea1ch ch\u1ee7 (mainboard) trong m\u00e1y t\u00ednh. Phi\u00ean b\u1ea3n A100 PCIe h\u1ed7 tr\u1ee3 <strong>PCIe Gen4<\/strong> v\u1edbi b\u0103ng th\u00f4ng 64 GB\/s, ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c m\u00e1y ch\u1ee7 c\u00f3 c\u1ea5u tr\u00fac m\u1edf\u200b.<\/li>\n<li><strong>SXM (Server PCIe Module, th\u01b0\u1eddng l\u00e0 SXM4 trong A100):<\/strong> \u0110\u00e2y l\u00e0 d\u1ea1ng giao ti\u1ebfp \u0111\u1ed9c quy\u1ec1n c\u1ee7a NVIDIA, cho ph\u00e9p t\u00edch h\u1ee3p s\u00e2u GPU v\u00e0o bo m\u1ea1ch ch\u1ee7 qua <strong>HGX board<\/strong>, h\u1ed7 tr\u1ee3 <strong>NVLink<\/strong> \u2013 giao ti\u1ebfp t\u1ed1c \u0111\u1ed9 cao gi\u1eefa c\u00e1c GPU v\u1edbi b\u0103ng th\u00f4ng l\u00ean \u0111\u1ebfn <strong>600 GB\/s<\/strong>. SXM c\u00f3 l\u1ee3i th\u1ebf trong hi\u1ec7u su\u1ea5t cao h\u01a1n v\u00e0 kh\u1ea3 n\u0103ng l\u00e0m m\u00e1t t\u1ed1t h\u01a1n, th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 NVIDIA DGX ho\u1eb7c HGX\u200b.<\/li>\n<\/ul>\n<h3>Nh\u1eefng \u0111\u1ed9t ph\u00e1 trong ki\u1ebfn tr\u00fac Ampere<\/h3>\n<p>A100 l\u00e0 GPU \u0111\u1ea7u ti\u00ean h\u1ed7 tr\u1ee3 t\u00ednh n\u0103ng <strong>Structural Sparsity<\/strong>, cho ph\u00e9p t\u0103ng g\u1ea5p \u0111\u00f4i hi\u1ec7u su\u1ea5t x\u1eed l\u00fd cho c\u00e1c m\u00f4 h\u00ecnh AI b\u1eb1ng c\u00e1ch b\u1ecf qua c\u00e1c tham s\u1ed1 kh\u00f4ng c\u1ea7n thi\u1ebft trong m\u1ea1ng n\u01a1-ron \u2013 m\u00e0 kh\u00f4ng l\u00e0m gi\u1ea3m \u0111\u1ed9 ch\u00ednh x\u00e1c. \u0110\u1ed3ng th\u1eddi, <strong>NVLink v\u00e0 NVSwitch<\/strong> cho ph\u00e9p k\u1ebft n\u1ed1i l\u00ean \u0111\u1ebfn 16 GPU A100 trong c\u00f9ng m\u1ed9t m\u00e1y ch\u1ee7 v\u1edbi t\u1ed1c \u0111\u1ed9 c\u1ef1c cao, m\u1edf ra kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng \u0111\u00e1ng k\u1ec3 trong t\u00ednh to\u00e1n ph\u00e2n t\u00e1n\u200b.<\/p>\n<h3>NVIDIA A100 Tensor Core GPU Hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i<\/h3>\n<p>A100 mang l\u1ea1i b\u01b0\u1edbc nh\u1ea3y v\u1ecdt trong c\u1ea3 hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn m\u00f4 h\u00ecnh AI. Ch\u1eb3ng h\u1ea1n, trong b\u00e0i to\u00e1n suy lu\u1eadn BERT-Large, A100 mang l\u1ea1i hi\u1ec7u n\u0103ng cao h\u01a1n CPU \u0111\u1ebfn <strong>249 l\u1ea7n<\/strong>. Trong b\u00e0i to\u00e1n ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn, phi\u00ean b\u1ea3n 80GB c\u1ee7a A100 cho k\u1ebft qu\u1ea3 nhanh g\u1ea5p <strong>2 l\u1ea7n<\/strong> so v\u1edbi phi\u00ean b\u1ea3n 40GB\u200b.<\/p>\n<p>NVIDIA A100 Tensor Core GPU kh\u00f4ng ch\u1ec9 l\u00e0 b\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda m\u1ea1nh m\u1ebd m\u00e0 c\u00f2n l\u00e0 n\u1ec1n t\u1ea3ng \u0111i\u1ec7n to\u00e1n t\u1ed5ng th\u1ec3 cho AI v\u00e0 HPC hi\u1ec7n \u0111\u1ea1i. V\u1edbi Tensor Cores th\u1ebf h\u1ec7 m\u1edbi, ki\u1ebfn tr\u00fac b\u1ed9 nh\u1edb HBM2e, v\u00e0 kh\u1ea3 n\u0103ng giao ti\u1ebfp v\u01b0\u1ee3t tr\u1ed9i qua PCIe ho\u1eb7c SXM, A100 l\u00e0 l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u cho nh\u1eefng \u1ee9ng d\u1ee5ng y\u00eau c\u1ea7u hi\u1ec7u n\u0103ng cao, t\u00ednh m\u1edf r\u1ed9ng, v\u00e0 hi\u1ec7u qu\u1ea3 s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean t\u1ed1i \u01b0u.<\/p>\n<h2>About VNSO<\/h2>\n<p>\u200bC\u00f4ng ty TNHH C\u00f4ng Ngh\u1ec7 VNSO l\u00e0 \u0111\u01a1n v\u1ecb h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam trong l\u0129nh v\u1ef1c cung c\u1ea5p d\u1ecbch v\u1ee5 m\u00e1y ch\u1ee7 GPU chuy\u00ean d\u1ee5ng, \u0111\u00e1p \u1ee9ng nhu c\u1ea7u t\u00ednh to\u00e1n cao cho c\u00e1c \u1ee9ng d\u1ee5ng AI v\u00e0 Machine Learning. V\u1edbi h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 trang b\u1ecb c\u00e1c GPU hi\u1ec7u n\u0103ng cao, VNSO \u0111\u1ea3m b\u1ea3o kh\u1ea3 n\u0103ng t\u1ea3i v\u00e0 v\u1eadn h\u00e0nh m\u01b0\u1ee3t m\u00e0 c\u00e1c m\u00f4 h\u00ecnh AI ti\u00ean ti\u1ebfn nh\u1ea5t c\u1ee7a NVIDIA, ph\u1ee5c v\u1ee5 \u0111a d\u1ea1ng m\u1ee5c \u0111\u00edch nghi\u00ean c\u1ee9u v\u00e0 tri\u1ec3n khai th\u1ef1c t\u1ebf. \u0110\u1ed9i ng\u0169 k\u1ef9 thu\u1eadt chuy\u00ean nghi\u1ec7p c\u1ee7a VNSO lu\u00f4n s\u1eb5n s\u00e0ng h\u1ed7 tr\u1ee3 kh\u00e1ch h\u00e0ng trong vi\u1ec7c t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t v\u00e0 gi\u1ea3i quy\u1ebft c\u00e1c th\u00e1ch th\u1ee9c k\u1ef9 thu\u1eadt. Ch\u00fang t\u00f4i cam k\u1ebft cung c\u1ea5p gi\u1ea3i ph\u00e1p m\u00e1y ch\u1ee7 GPU ch\u1ea5t l\u01b0\u1ee3ng v\u1edbi chi ph\u00ed h\u1ee3p l\u00fd, gi\u00fap doanh nghi\u1ec7p c\u1ee7a b\u1ea1n \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u qu\u1ea3 t\u1ed1i \u0111a trong c\u00e1c d\u1ef1 \u00e1n AI.<\/p>\n<p>Thu\u00ea m\u00e1y ch\u1ee7 GPU NVIDIA A100 t\u1ea1i: <a href=\"https:\/\/vnso.vn\/en\/may-chu-gpu\/\">https:\/\/vnso.vn\/may-chu-gpu\/<\/a><\/p>\n<p>Tham kh\u1ea3o datasheet:\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a100\/\">https:\/\/www.nvidia.com\/en-us\/data-center\/a100\/<\/a><\/p>\n<p data-start=\"1585\" data-end=\"1790\">For more details on virtual servers, Private Cloud, CDN, physical servers, and more, please contact us using the information below:<\/p>\n<p><strong>VNSO TECHNOLOGY CO., LTD \u2013 SINCE 2015<\/strong><\/p>\n<ul>\n<li>Website:\u00a0<a href=\"https:\/\/vnso.vn\/en\/\">https:\/\/vnso.vn\/<\/a><\/li>\n<li>Hotline: 0927 444 222 | Email: info@vnso.vn<\/li>\n<li>Tr\u1ee5 s\u1edf: L\u00f4 O s\u1ed1 10, \u0110\u01b0\u1eddng s\u1ed1 15, KDC Mi\u1ebfu N\u1ed5i, Ph\u01b0\u1eddng 1, Qu\u1eadn B\u00ecnh Th\u1ea1nh, TP. H\u1ed3 Ch\u00ed Minh<\/li>\n<li>VPGD \u0110\u00e0 N\u1eb5ng:\u00a0<span class=\"OYPEnA font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">30 Nguy\u1ec5n H\u1eefu Th\u1ecd, Ph\u01b0\u1eddng H\u00f2a Thu\u1eadn T\u00e2y, Qu\u1eadn H\u1ea3i Ch\u00e2u, \u0110\u00e0 N\u1eb5ng<\/span><\/li>\n<li>VPGD H\u00e0 N\u1ed9i:\u00a0<span class=\"OYPEnA font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">32 V\u0169 Ph\u1ea1m H\u00e0m, Ph\u01b0\u1eddng Y\u00ean H\u00f2a, Qu\u1eadn C\u1ea7u Gi\u1ea5y, H\u00e0 N\u1ed9i<\/span><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>NVIDIA A100 Tensor Core GPU l\u00e0 m\u1ed9t trong nh\u1eefng b\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda ti\u00ean ti\u1ebfn nh\u1ea5t hi\u1ec7n nay, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf nh\u1eb1m t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t cho c\u00e1c t\u00e1c v\u1ee5 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI), ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn v\u00e0 t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao (HPC). D\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Ampere, A100 [&hellip;]<\/p>","protected":false},"author":6,"featured_media":21779,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[508,513,511,509,507],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Thu\u00ea M\u00e1y Ch\u1ee7 NVIDIA A100 Tensor Core GPU: T\u1ed1i \u01afu AI v\u00e0 HPC<\/title>\n<meta name=\"description\" content=\"NVIDIA A100 Tensor Core GPU l\u00e0 m\u1ed9t trong nh\u1eefng b\u1ed9 x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda ti\u00ean ti\u1ebfn nh\u1ea5t, t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t cho c\u00e1c t\u00e1c v\u1ee5 AI, Big Data v\u00e0 HPC.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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