{"id":22843,"date":"2025-08-21T11:18:52","date_gmt":"2025-08-21T04:18:52","guid":{"rendered":"https:\/\/vnso.vn\/?p=22843"},"modified":"2025-09-15T10:27:20","modified_gmt":"2025-09-15T03:27:20","slug":"so-sanh-a100-nvidia-vs-h100","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/so-sanh-a100-nvidia-vs-h100\/","title":{"rendered":"So s\u00e1nh A100 NVIDIA GPU vs H100: N\u00ean ch\u1ecdn GPU n\u00e0o?"},"content":{"rendered":"<p style=\"text-align: justify;\">Trong v\u00e0i n\u0103m tr\u1edf l\u1ea1i \u0111\u00e2y, tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) v\u00e0 h\u1ea1 t\u1ea7ng Data Center \u0111\u00e3 tr\u1edf th\u00e0nh n\u1ec1n t\u1ea3ng cho nhi\u1ec1u doanh nghi\u1ec7p c\u00f4ng ngh\u1ec7. \u0110\u1ec3 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh AI hay tri\u1ec3n khai h\u1ec7 th\u1ed1ng x\u1eed l\u00fd d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3, GPU \u0111\u00f3ng vai tr\u00f2 nh\u01b0 \u201ctr\u00e1i tim\u201d c\u1ee7a to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng. Trong \u0111\u00f3, A100 NVIDIA v\u00e0 H100 NVIDIA l\u00e0 hai d\u00f2ng GPU ti\u00eau bi\u1ec3u, \u0111\u01b0\u1ee3c xem nh\u01b0 chu\u1ea9n m\u1ef1c cho hi\u1ec7u n\u0103ng cao.<\/p>\n<p style=\"text-align: justify;\" data-start=\"844\" data-end=\"1020\">V\u1eady gi\u1eefa A100 v\u00e0 H100, \u0111\u00e2u l\u00e0 l\u1ef1a ch\u1ecdn h\u1ee3p l\u00fd h\u01a1n? B\u00e0i vi\u1ebft n\u00e0y c\u1ee7a VNSO s\u1ebd \u0111i s\u00e2u ph\u00e2n t\u00edch c\u1ea3 hai th\u1ebf h\u1ec7 GPU \u0111\u1ec3 b\u1ea1n \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ph\u00f9 h\u1ee3p cho nhu c\u1ea7u AI v\u00e0 Data Center.<\/p>\n<p style=\"text-align: justify;\" data-start=\"844\" data-end=\"1020\">T\u1ea1i\u00a0<a href=\"https:\/\/vnso.vn\/en\/\">VNSO<\/a>, gi\u00e1 thu\u00ea m\u00e1y ch\u1ee7 AI NVIDIA A100 Tensor Core 80GB GPU ch\u1ec9 c\u00f3\u00a0<em><strong>1.8 USD\/gi\u1edd<\/strong><\/em>. Li\u00ean h\u1ec7 ngay \u0111\u1ec3 \u0111\u01b0\u1ee3c t\u01b0 v\u1ea5n\u00a0<em>mi\u1ec5n ph\u00ed<\/em>\u00a0gi\u1ea3i ph\u00e1p AI ti\u00ean ti\u1ebfn nh\u1ea5t.<\/p>\n<p data-start=\"182\" data-end=\"604\">&gt;&gt;&gt; \u0110\u0103ng k\u00fd ngay <a href=\"https:\/\/gpu.vnso.vn\/\"><strong>Server AI\/GPU, Cloud GPU VNSO<\/strong><\/a> \u2013 <em>t\u01b0 v\u1ea5n,<\/em><em> b\u00e1o gi\u00e1 &amp; d\u00f9ng th\u1eed mi\u1ec5n ph\u00ed<\/em>!<\/p>\n<p style=\"text-align: justify;\" data-start=\"5253\" data-end=\"5426\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f15879-o1\" lang=\"en-US\" dir=\"ltr\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/en\/wp-json\/wp\/v2\/posts\/22843#wpcf7-f15879-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" novalidate=\"novalidate\" data-status=\"init\" 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class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Sign Up Now\" \/>\n\t<\/p>\n<\/div><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<input type=\"hidden\" name=\"trp-form-language\" value=\"en\"\/><\/form>\n<\/div>\n<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"844\" data-end=\"1020\"><span style=\"color: #333399;\">1. T\u1ed5ng quan v\u1ec1 GPU NVIDIA A100 vs H100 Tensor Core<\/span><\/h2>\n<h3 dir=\"auto\" style=\"text-align: justify;\">1.1. A100 Nvidia<\/h3>\n<p dir=\"auto\" style=\"text-align: justify;\">Ra m\u1eaft n\u0103m 2020, <strong data-start=\"1079\" data-end=\"1110\">A100 NVIDIA Tensor Core GPU<\/strong> \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean ki\u1ebfn tr\u00fac Ampere. M\u1ee5c ti\u00eau c\u1ee7a s\u1ea3n ph\u1ea9m n\u00e0y l\u00e0 mang l\u1ea1i hi\u1ec7u n\u0103ng g\u1ea5p 20 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc, m\u1edf ra k\u1ef7 nguy\u00ean AI t\u0103ng t\u1ed1c tr\u00ean di\u1ec7n r\u1ed9ng.<\/p>\n<p dir=\"auto\" style=\"text-align: justify;\"><a href=\"https:\/\/vnso.vn\/en\/nvidia-h100-tensor-core-gpu-80gb\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-22862 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/A100-NVIDIA-Tensor-Core-GPU-vnso.jpg\" alt=\"A100-NVIDIA-Tensor-Core-GPU-vnso\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/A100-NVIDIA-Tensor-Core-GPU-vnso.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/A100-NVIDIA-Tensor-Core-GPU-vnso-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/A100-NVIDIA-Tensor-Core-GPU-vnso-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/A100-NVIDIA-Tensor-Core-GPU-vnso-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/A100-NVIDIA-Tensor-Core-GPU-vnso-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p dir=\"auto\" style=\"text-align: justify;\">NVIDIA A100 mang \u0111\u1ebfn s\u1ee9c m\u1ea1nh v\u01b0\u1ee3t tr\u1ed9i cho doanh nghi\u1ec7p AI. C\u00f4ng ngh\u1ec7 <strong data-start=\"241\" data-end=\"248\">MIG<\/strong> cho ph\u00e9p chia GPU th\u00e0nh nhi\u1ec1u ph\u00e2n v\u00f9ng \u0111\u1ed9c l\u1eadp. Nh\u1edd v\u1eady, h\u1ec7 th\u1ed1ng x\u1eed l\u00fd \u0111\u1ed3ng th\u1eddi nhi\u1ec1u t\u00e1c v\u1ee5 m\u00e0 v\u1eabn gi\u1eef hi\u1ec7u su\u1ea5t cao. A100 kh\u00f4ng ch\u1ec9 m\u1ea1nh trong hu\u1ea5n luy\u1ec7n AI m\u00e0 c\u00f2n t\u1ed1i \u01b0u cho suy lu\u1eadn v\u00e0 HPC. \u0110\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn l\u00fd t\u01b0\u1edfng \u0111\u1ec3 x\u00e2y d\u1ef1ng trung t\u00e2m d\u1eef li\u1ec7u hi\u1ec7n \u0111\u1ea1i v\u1edbi chi ph\u00ed t\u1ed1i \u01b0u.<\/p>\n<p dir=\"auto\"><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/nvidia-a100-tensor-core-gpu-80gb\/\">NVIDIA A100 Tensor Core GPU 80GB tri\u1ec3n khai AI hi\u1ec7u qu\u1ea3<\/a><\/strong><\/p>\n<h3 dir=\"auto\" style=\"text-align: justify;\">1.2. H100 Nvidia<\/h3>\n<p dir=\"auto\" style=\"text-align: justify;\">Sau th\u00e0nh c\u00f4ng c\u1ee7a A100, n\u0103m 2022 NVIDIA gi\u1edbi thi\u1ec7u <strong data-start=\"1868\" data-end=\"1892\">H100 Tensor Core GPU<\/strong> d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Hopper. \u0110\u00e2y l\u00e0 th\u1ebf h\u1ec7 k\u1ebf nhi\u1ec7m, \u0111\u01b0\u1ee3c \u0111\u1ecbnh v\u1ecb l\u00e0 \u201cb\u01b0\u1edbc nh\u1ea3y v\u1ecdt\u201d cho AI v\u00e0 HPC. H100 t\u00edch h\u1ee3p Transformer Engine \u2013 c\u00f4ng ngh\u1ec7 \u0111\u1eb7c bi\u1ec7t t\u1ed1i \u01b0u cho c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLMs), c\u00f3 kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u00e1c m\u00f4 h\u00ecnh l\u00ean t\u1edbi h\u00e0ng ngh\u00ecn t\u1ef7 tham s\u1ed1.<\/p>\n<p dir=\"auto\" style=\"text-align: justify;\"><a href=\"https:\/\/vnso.vn\/en\/nvidia-h100-tensor-core-gpu-80gb\/\"><img decoding=\"async\" class=\"aligncenter wp-image-22854 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/GPU-H100-Tensor-Cores-The-He-Thu-4-\u2013-Suc-Manh-Tinh-Toan-Vuot-Troi.jpg\" alt=\"GPU H100 Tensor Cores Th\u1ebf H\u1ec7 Th\u1ee9 4 \u2013 S\u1ee9c M\u1ea1nh T\u00ednh To\u00e1n V\u01b0\u1ee3t Tr\u1ed9i\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/GPU-H100-Tensor-Cores-The-He-Thu-4-\u2013-Suc-Manh-Tinh-Toan-Vuot-Troi.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/GPU-H100-Tensor-Cores-The-He-Thu-4-\u2013-Suc-Manh-Tinh-Toan-Vuot-Troi-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/GPU-H100-Tensor-Cores-The-He-Thu-4-\u2013-Suc-Manh-Tinh-Toan-Vuot-Troi-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/GPU-H100-Tensor-Cores-The-He-Thu-4-\u2013-Suc-Manh-Tinh-Toan-Vuot-Troi-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/GPU-H100-Tensor-Cores-The-He-Thu-4-\u2013-Suc-Manh-Tinh-Toan-Vuot-Troi-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p dir=\"auto\" style=\"text-align: justify;\">Theo NVIDIA, H100 l\u00e0 GPU l\u00fd t\u01b0\u1edfng cho doanh nghi\u1ec7p ph\u00e1t tri\u1ec3n AI t\u1ea1o sinh, chatbot ho\u1eb7c d\u1ecbch m\u00e1y. N\u00f3 ph\u00f9 h\u1ee3p v\u1edbi b\u1ea5t k\u1ef3 h\u1ec7 th\u1ed1ng n\u00e0o d\u1ef1a tr\u00ean LLM. Kh\u00f4ng ch\u1ec9 ph\u1ee5c v\u1ee5 AI, H100 c\u00f2n \u0111\u00e1p \u1ee9ng y\u00eau c\u1ea7u b\u1ea3o m\u1eadt v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng. GPU n\u00e0y c\u0169ng \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 qu\u1ea3n l\u00fd d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p trong trung t\u00e2m d\u1eef li\u1ec7u hi\u1ec7n \u0111\u1ea1i.<\/p>\n<p dir=\"auto\"><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/gpu-h100-nvidia-hieu-suat-ai-khung-voi-gia-cham-noc\/\">GPU H100 NVIDIA &#8211; Hi\u1ec7u su\u1ea5t AI kh\u1ee7ng v\u1edbi gi\u00e1 ch\u1ea1m n\u00f3c<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\"><span style=\"color: #333399;\">2. So s\u00e1nh chi ti\u1ebft A100 Nvidia vs H100<\/span><\/h2>\n<h3 style=\"text-align: justify;\">2.1. Ki\u1ebfn tr\u00fac v\u00e0 c\u00f4ng ngh\u1ec7<\/h3>\n<p style=\"text-align: justify;\"><strong>A100:<\/strong> D\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Ampere, thi\u1ebft k\u1ebf \u0111a n\u0103ng, ph\u00f9 h\u1ee3p cho AI, ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 HPC. T\u00edch h\u1ee3p c\u00f4ng ngh\u1ec7 Multi-Instance GPU (MIG) cho ph\u00e9p chia GPU th\u00e0nh t\u1ed1i \u0111a 7 instance \u0111\u1ed9c l\u1eadp, gi\u00fap t\u1ed1i \u01b0u khai th\u00e1c t\u00e0i nguy\u00ean trong trung t\u00e2m d\u1eef li\u1ec7u.<\/p>\n<p style=\"text-align: justify;\"><strong>H100:<\/strong> H100 \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean ki\u1ebfn tr\u00fac Hopper v\u00e0 t\u00edch h\u1ee3p Transformer Engine v\u1edbi h\u1ed7 tr\u1ee3 \u0111\u1ecbnh d\u1ea1ng FP8. C\u00f4ng ngh\u1ec7 n\u00e0y \u0111\u1eb7c bi\u1ec7t t\u1ed1i \u01b0u cho c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLMs). \u0110i\u1ec3m n\u1ed5i b\u1eadt l\u00e0 phi\u00ean b\u1ea3n H100 NVL v\u1edbi thi\u1ebft k\u1ebf dual-GPU. M\u1ed7i card ch\u1ee9a hai chip H100, m\u1ed7i chip c\u00f3 94 GB HBM3. Ch\u00fang k\u1ebft n\u1ed1i tr\u1ef1c ti\u1ebfp b\u1eb1ng NVLink t\u1ed1c \u0111\u1ed9 900 GB\/s, chuy\u00ean d\u1ee5ng cho inference LLM \u1edf quy m\u00f4 ngh\u00ecn t\u1ef7 tham s\u1ed1.<\/p>\n<h3 dir=\"auto\" style=\"text-align: justify;\">2.2. Hi\u1ec7u n\u0103ng<\/h3>\n<p style=\"text-align: justify;\"><strong>A100:<\/strong> Theo NVIDIA, A100 mang l\u1ea1i hi\u1ec7u su\u1ea5t hu\u1ea5n luy\u1ec7n AI cao h\u01a1n t\u1edbi <strong data-start=\"950\" data-end=\"960\">20 l\u1ea7n<\/strong> so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc (V100). Ph\u00f9 h\u1ee3p v\u1edbi hu\u1ea5n luy\u1ec7n v\u00e0 tri\u1ec3n khai AI t\u1ea7m trung, HPC quy m\u00f4 v\u1eeba.<\/p>\n<p style=\"text-align: justify;\"><strong>H100:<\/strong> H\u01b0\u1edbng \u0111\u1ebfn inference LLM, H100 NVL c\u00f3 th\u1ec3 t\u0103ng t\u1ed1c t\u1edbi 30 l\u1ea7n so v\u1edbi A100 trong x\u1eed l\u00fd m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (v\u00ed d\u1ee5 GPT-3 530B). Trong hu\u1ea5n luy\u1ec7n, hi\u1ec7u n\u0103ng H100 th\u01b0\u1eddng nhanh h\u01a1n 3\u20134 l\u1ea7n so v\u1edbi A100. \u0110\u00e2y l\u00e0 GPU \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf chuy\u00ean bi\u1ec7t \u0111\u1ec3 tri\u1ec3n khai generative AI \u1edf quy m\u00f4 si\u00eau l\u1edbn.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"2500\" data-end=\"2528\">2.3. B\u0103ng th\u00f4ng &amp; b\u1ed9 nh\u1edb<\/h3>\n<p style=\"text-align: justify;\" data-start=\"2531\" data-end=\"2674\"><strong>A100<\/strong>: S\u1eed d\u1ee5ng b\u1ed9 nh\u1edb 80 GB HBM2e, b\u0103ng th\u00f4ng kho\u1ea3ng 2 TB\/s, \u0111\u00e1p \u1ee9ng t\u1ed1t nhu c\u1ea7u x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2531\" data-end=\"2674\"><strong>H100<\/strong>: M\u1ed7i GPU trang b\u1ecb 94 GB HBM3, b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb kho\u1ea3ng 3.35 TB\/s. T\u1ed5ng c\u1ed9ng, m\u1ed9t card H100 NVL c\u00f3 188 GB HBM3 (2 GPU), gi\u00fap t\u1ed1i \u01b0u h\u00f3a inference LLM kh\u1ed5ng l\u1ed3 v\u1edbi y\u00eau c\u1ea7u b\u1ed9 nh\u1edb cao.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"2808\" data-end=\"2857\">2.4. Kh\u1ea3 n\u0103ng chia GPU &amp; tri\u1ec3n khai linh ho\u1ea1t<\/h3>\n<p style=\"text-align: justify;\" data-start=\"2860\" data-end=\"2975\"><strong>A100:<\/strong> Support <strong data-start=\"1827\" data-end=\"1840\">MIG Gen 1<\/strong>, c\u00f3 th\u1ec3 chia 7 instance \u0111\u1ed9c l\u1eadp, ph\u00f9 h\u1ee3p trung t\u00e2m d\u1eef li\u1ec7u nhi\u1ec1u workload \u0111\u1ed3ng th\u1eddi.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2978\" data-end=\"3112\"><strong>H100:<\/strong> Support <strong data-start=\"1950\" data-end=\"1963\">MIG Gen 2<\/strong>, chia t\u1edbi 7 instance nh\u01b0ng hi\u1ec7u qu\u1ea3, b\u1ea3o m\u1eadt v\u00e0 kh\u1ea3 n\u0103ng c\u00f4 l\u1eadp workload cao h\u01a1n A100. \u0110\u1ed3ng th\u1eddi, thi\u1ebft k\u1ebf NVLink dual-GPU gi\u00fap inference m\u00f4 h\u00ecnh c\u1ef1c l\u1edbn m\u01b0\u1ee3t m\u00e0 v\u00e0 nhanh h\u01a1n nhi\u1ec1u so v\u1edbi c\u1ea5u h\u00ecnh A100 r\u1eddi r\u1ea1c.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"3389\" data-end=\"3424\">2.5. Ph\u1ea7n m\u1ec1m &amp; n\u1ec1n t\u1ea3ng h\u1ed7 tr\u1ee3<\/h3>\n<p style=\"text-align: justify;\" data-start=\"3427\" data-end=\"3565\"><strong>A100:<\/strong> T\u00edch h\u1ee3p trong h\u1ec7 sinh th\u00e1i NVIDIA AI Enterprise, CUDA, v\u00e0 NGC (NVIDIA GPU Cloud). MIG gi\u00fap tri\u1ec3n khai d\u1ec5 d\u00e0ng c\u00e1c d\u1ecbch v\u1ee5 AI \u0111a ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<p style=\"text-align: justify;\" data-start=\"3568\" data-end=\"3724\"><strong>H100:<\/strong> H\u1ed7 tr\u1ee3 \u0111\u1ea7y \u0111\u1ee7 NVIDIA AI Enterprise, CUDA 12, Transformer Engine, MIG Gen 2 v\u00e0 c\u00e1c th\u01b0 vi\u1ec7n t\u1ed1i \u01b0u LLM. \u0110\u00e2y l\u00e0 n\u1ec1n t\u1ea3ng \u0111\u01b0\u1ee3c NVIDIA \u0111\u1ecbnh v\u1ecb cho generative AI, chatbot n\u00e2ng cao, d\u1ecbch m\u00e1y v\u00e0 AI quy m\u00f4 hyperscale.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"3568\" data-end=\"3724\">2.6. Chi ph\u00ed \u0111\u1ea7u t\u01b0 &amp; h\u1ea1 t\u1ea7ng<\/h3>\n<p style=\"text-align: justify;\"><b>A100: <\/b>Gi\u00e1 th\u1ea5p h\u01a1n (~1\/2 \u0111\u1ebfn 1\/3 so v\u1edbi H100). Ph\u00f9 h\u1ee3p doanh nghi\u1ec7p v\u1eeba v\u00e0 nh\u1ecf, startup AI, ho\u1eb7c trung t\u00e2m d\u1eef li\u1ec7u c\u1ea7n c\u00e2n b\u1eb1ng chi ph\u00ed &#8211; hi\u1ec7u n\u0103ng.<\/p>\n<p style=\"text-align: justify;\"><b>H100: <\/b>Gi\u00e1 cao h\u01a1n, \u0111i\u1ec7n n\u0103ng ti\u00eau th\u1ee5 l\u1edbn h\u01a1n, y\u00eau c\u1ea7u h\u1ea1 t\u1ea7ng t\u1ed1i \u01b0u. Tuy nhi\u00ean, v\u1edbi workload LLM hay generative AI, H100 gi\u00fap ti\u1ebft ki\u1ec7m th\u1eddi gian hu\u1ea5n luy\u1ec7n v\u00e0 chi ph\u00ed v\u1eadn h\u00e0nh d\u00e0i h\u1ea1n.<\/p>\n<p><strong>&gt;&gt;&gt; C\u00f3 th\u1ec3 b\u1ea1n quan t\u00e2m \u0111\u1ebfn: <a href=\"https:\/\/vnso.vn\/en\/nvidia-hgx-h100-be-phong-suc-manh-ai-va-hpc\/\">NVIDIA HGX H100 \u2013 B\u1ec7 ph\u00f3ng s\u1ee9c m\u1ea1nh AI v\u00e0 HPC<\/a><\/strong><\/p>\n<h2 dir=\"auto\" style=\"text-align: justify;\"><span style=\"color: #333399;\">3. B\u1ea3ng so s\u00e1nh th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt A100 Nvidia vs H100<\/span><\/h2>\n<p dir=\"auto\" style=\"text-align: justify;\">\u0110\u1ec3 d\u1ec5 h\u00ecnh dung, d\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng so s\u00e1nh c\u00e1c th\u00f4ng s\u1ed1 ch\u00ednh gi\u1eefa A100 NVIDIA (80GB PCLe) v\u00e0 H100 ( 80GB NVL):<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: center;\">Th\u00f4ng s\u1ed1<\/th>\n<th style=\"text-align: center;\">NVIDIA A100<\/th>\n<th style=\"text-align: center;\">NVIDIA H100<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\"><strong>Ki\u1ebfn tr\u00fac<\/strong><\/td>\n<td style=\"text-align: center;\">Ampere (GA100, 7 nm)<\/td>\n<td style=\"text-align: center;\">Hopper (GH100, 4 nm)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>CUDA Cores<\/strong><\/td>\n<td style=\"text-align: center;\">6 912<\/td>\n<td style=\"text-align: center;\">18 432<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>Tensor Cores<\/strong><\/td>\n<td style=\"text-align: center;\">3rd-gen (h\u1ed7 tr\u1ee3 FP16, TF32, BFLOAT16)<\/td>\n<td style=\"text-align: center;\">4th-gen (h\u1ed7 tr\u1ee3 FP8, Transformer Engine)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>B\u1ed9 nh\u1edb &amp; B\u0103ng th\u00f4ng<\/strong><\/td>\n<td style=\"text-align: center;\">80 GB HBM2e, \u22482 TB\/s<\/td>\n<td style=\"text-align: center;\">80 GB HBM3, \u22483.35 TB\/s<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>FP32 Peak Performance<\/strong><\/td>\n<td style=\"text-align: center;\">19.5 TFLOPS<\/td>\n<td style=\"text-align: center;\">\u224860 TFLOPS (3\u00d7 so v\u1edbi A100)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>FP64 Peak Performance<\/strong><\/td>\n<td style=\"text-align: center;\">9.7 TFLOPS<\/td>\n<td style=\"text-align: center;\">33.5 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>FP16 Tensor (Half) Performance<\/strong><\/td>\n<td style=\"text-align: center;\">624 TFLOPS<\/td>\n<td style=\"text-align: center;\">1 979 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>FP8 Tensor Core<\/strong><\/td>\n<td style=\"text-align: center;\">Kh\u00f4ng h\u1ed7 tr\u1ee3<\/td>\n<td style=\"text-align: center;\">H\u1ed7 tr\u1ee3 (~3 958 TFLOPS)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>TDP (C\u00f4ng su\u1ea5t ti\u00eau th\u1ee5)<\/strong><\/td>\n<td style=\"text-align: center;\">\u2248300 W<\/td>\n<td style=\"text-align: center;\">\u2248700 W<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>NVLink Bandwidth<\/strong><\/td>\n<td style=\"text-align: center;\">\u2248600 GB\/s (NVLink 3.0)<\/td>\n<td style=\"text-align: center;\">\u2248900 GB\/s (NVLink 4.0)<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong>Bus Interface<\/strong><\/td>\n<td style=\"text-align: center;\">PCIe Gen 4 x16<\/td>\n<td style=\"text-align: center;\">PCIe Gen 5 x16<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: justify;\"><span style=\"color: #333399;\">4. Ph\u00e2n t\u00edch \u01b0u nh\u01b0\u1ee3c \u0111i\u1ec3m c\u1ee7a A100 Nvidia vs H100<\/span><\/h2>\n<h3 style=\"text-align: justify;\">4.1. A100 Nvidia<\/h3>\n<p style=\"text-align: justify;\"><span style=\"color: #339966;\"><em><strong>\u01afu \u0111i\u1ec3m<\/strong><\/em><\/span><\/p>\n<p style=\"text-align: justify;\">&#8211; Gi\u00e1 th\u00e0nh th\u1ea5p h\u01a1n v\u00e0 d\u1ec5 ti\u1ebfp c\u1eadn.<\/p>\n<p style=\"text-align: justify;\">&#8211; Ti\u00eau th\u1ee5 \u0111i\u1ec7n n\u0103ng th\u1ea5p, ph\u00f9 h\u1ee3p data center nh\u1ecf.<\/p>\n<p style=\"text-align: justify;\">&#8211; Hi\u1ec7u su\u1ea5t t\u1ed1t cho AI trung b\u00ecnh, v\u1edbi MIG linh ho\u1ea1t.<\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #993300;\"><em><strong>Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/strong><\/em><\/span><\/p>\n<p style=\"text-align: justify;\">&#8211; Kh\u00f4ng h\u1ed7 tr\u1ee3 FP8, ch\u1eadm h\u01a1n cho m\u00f4 h\u00ecnh l\u1edbn.<\/p>\n<p style=\"text-align: justify;\">&#8211; B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb th\u1ea5p h\u01a1n so v\u1edbi H100.<\/p>\n<h3 style=\"text-align: justify;\">H100 Nvidia<\/h3>\n<p style=\"text-align: justify;\"><span style=\"color: #339966;\"><em><strong>\u01afu \u0111i\u1ec3m<\/strong><\/em><\/span><\/p>\n<p style=\"text-align: justify;\">&#8211; Hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i cho AI l\u1edbn v\u00e0 inference nhanh.<\/p>\n<p style=\"text-align: justify;\">&#8211; B\u1ed9 nh\u1edb nhanh h\u01a1n, h\u1ed7 tr\u1ee3 Confidential Computing.<\/p>\n<p style=\"text-align: justify;\">&#8211; T\u1ed1i \u01b0u cho data center quy m\u00f4 l\u1edbn.<\/p>\n<p style=\"text-align: justify;\"><span style=\"color: #993300;\"><strong><em>Nh\u01b0\u1ee3c \u0111i\u1ec3m<\/em><\/strong><\/span><\/p>\n<p style=\"text-align: justify;\">&#8211; Ti\u00eau th\u1ee5 \u0111i\u1ec7n cao h\u01a1n, \u0111\u00f2i h\u1ecfi c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng t\u1ed1t.<\/p>\n<p style=\"text-align: justify;\">&#8211; Chi ph\u00ed ban \u0111\u1ea7u cao.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"1791\" data-end=\"1946\"><span style=\"color: #333399;\">5. N\u00ean ch\u1ecdn GPU n\u00e0o: A100 NVIDIA hay H100?<\/span><\/h2>\n<p style=\"text-align: justify;\"><a href=\"https:\/\/vnso.vn\/en\/\"><img decoding=\"async\" class=\"aligncenter wp-image-22863 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/so-sanh-a100-nvidia-vs-h100-vnso.jpg\" alt=\"so-sanh-a100-nvidia-vs-h100-vnso\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/so-sanh-a100-nvidia-vs-h100-vnso.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/so-sanh-a100-nvidia-vs-h100-vnso-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/so-sanh-a100-nvidia-vs-h100-vnso-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/so-sanh-a100-nvidia-vs-h100-vnso-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/so-sanh-a100-nvidia-vs-h100-vnso-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p dir=\"auto\" style=\"text-align: justify;\">Vi\u1ec7c ch\u1ecdn gi\u1eefa A100 NVIDIA vs H100 ph\u1ee5 thu\u1ed9c v\u00e0o nhu c\u1ea7u c\u1ee5 th\u1ec3. N\u1ebfu b\u1ea1n \u0111ang x\u00e2y d\u1ef1ng data center v\u1edbi ng\u00e2n s\u00e1ch h\u1ea1n ch\u1ebf v\u00e0 t\u1eadp trung v\u00e0o AI training c\u01a1 b\u1ea3n ho\u1eb7c HPC, A100 NVIDIA l\u00e0 l\u1ef1a ch\u1ecdn l\u00fd t\u01b0\u1edfng nh\u1edd hi\u1ec7u su\u1ea5t cao, ti\u1ebft ki\u1ec7m n\u0103ng l\u01b0\u1ee3ng v\u00e0 gi\u00e1 th\u00e0nh th\u1ea5p h\u01a1n. Nhi\u1ec1u doanh nghi\u1ec7p v\u1eabn s\u1eed d\u1ee5ng A100 cho c\u00e1c workload \u1ed5n \u0111\u1ecbnh.<\/p>\n<p dir=\"auto\" style=\"text-align: justify;\">Ng\u01b0\u1ee3c l\u1ea1i, n\u1ebfu d\u1ef1 \u00e1n c\u1ee7a b\u1ea1n li\u00ean quan \u0111\u1ebfn generative AI, m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn ho\u1eb7c c\u1ea7n inference th\u1eddi gian th\u1ef1c, H100 l\u00e0 l\u1ef1a ch\u1ecdn v\u01b0\u1ee3t tr\u1ed9i v\u1edbi hi\u1ec7u su\u1ea5t cao g\u1ea5p nhi\u1ec1u l\u1ea7n. Tuy nhi\u00ean, h\u00e3y xem x\u00e9t chi ph\u00ed \u0111i\u1ec7n n\u0103ng v\u00e0 c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng.<\/p>\n<h2 style=\"text-align: justify;\"><span style=\"color: #333399;\">6. \u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf<\/span><\/h2>\n<h3 style=\"text-align: justify;\">6.1. A100 Nvidia<\/h3>\n<p dir=\"auto\" style=\"text-align: justify;\">NVIDIA A100 \u0111\u01b0\u1ee3c d\u00f9ng r\u1ed9ng r\u00e3i cho hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh l\u1edbn nh\u01b0 <strong data-start=\"173\" data-end=\"181\">BERT<\/strong> ho\u1eb7c <strong data-start=\"187\" data-end=\"195\">DLRM<\/strong>. Theo NVIDIA, hi\u1ec7u su\u1ea5t hu\u1ea5n luy\u1ec7n AI cao g\u1ea5p 20 l\u1ea7n so v\u1edbi Volta. V\u1edbi inference tr\u00ean BERT-LARGE, A100 nhanh h\u01a1n CPU t\u1edbi 249 l\u1ea7n. Trong trung t\u00e2m d\u1eef li\u1ec7u, A100 h\u1ed7 tr\u1ee3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u1edbi b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb h\u01a1n 2 TB\/s. K\u1ebft h\u1ee3p c\u00f9ng <strong data-start=\"428\" data-end=\"438\" data-is-only-node=\"\">RAPIDS<\/strong> v\u00e0 <strong data-start=\"442\" data-end=\"455\">Magnum IO<\/strong>, n\u00f3 c\u00f3 th\u1ec3 x\u1eed l\u00fd nh\u1eefng dataset kh\u1ed5ng l\u1ed3 m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<p style=\"text-align: justify;\" data-start=\"348\" data-end=\"516\"><em><strong>Nh\u1edd m\u1ee9c gi\u00e1 d\u1ec5 ti\u1ebfp c\u1eadn, hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh, A100 th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong:<\/strong><\/em><\/p>\n<p style=\"text-align: justify;\" data-start=\"520\" data-end=\"631\">&#8211; Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh AI v\u1eeba v\u00e0 nh\u1ecf: Ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c m\u1ea1ng n\u01a1-ron t\u1ea7m trung, t\u1eeb v\u00e0i tri\u1ec7u \u0111\u1ebfn v\u00e0i t\u1ef7 tham s\u1ed1.<\/p>\n<p style=\"text-align: justify;\" data-start=\"634\" data-end=\"735\">&#8211; Tri\u1ec3n khai d\u1ecbch v\u1ee5 AI ph\u1ed5 bi\u1ebfn: Chatbot c\u01a1 b\u1ea3n, h\u1ec7 th\u1ed1ng g\u1ee3i \u00fd, ph\u00e2n t\u00edch d\u1eef li\u1ec7u doanh nghi\u1ec7p.<\/p>\n<p style=\"text-align: justify;\" data-start=\"738\" data-end=\"826\">&#8211; HPC v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u: M\u00f4 ph\u1ecfng v\u1eadt l\u00fd, y sinh h\u1ecdc, d\u1ef1 b\u00e1o th\u1eddi ti\u1ebft quy m\u00f4 v\u1eeba.<\/p>\n<p style=\"text-align: justify;\" data-start=\"829\" data-end=\"943\">&#8211; Cloud AI Services: A100 c\u00f3 s\u1eb5n tr\u00ean h\u1ea7u h\u1ebft n\u1ec1n t\u1ea3ng cloud (AWS, GCP, Azure), thu\u1eadn ti\u1ec7n cho startup v\u00e0 SME.<\/p>\n<h3 style=\"text-align: justify;\">6.2. H100 Nvidia<\/h3>\n<p dir=\"auto\" style=\"text-align: justify;\">H100 NVL l\u00e0 GPU chuy\u00ean bi\u1ec7t cho inference LLM, v\u1edbi thi\u1ebft k\u1ebf dual-GPU (2 chip H100 tr\u00ean c\u00f9ng card, k\u1ebft n\u1ed1i NVLink 900 GB\/s). M\u1ed7i GPU c\u00f3 94 GB HBM3 (3.35 TB\/s), t\u1ed5ng c\u1ed9ng card \u0111\u1ea1t 188 GB HBM3 \u2013 c\u1ef1c k\u1ef3 t\u1ed1i \u01b0u cho x\u1eed l\u00fd m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef ngh\u00ecn t\u1ef7 tham s\u1ed1.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1115\" data-end=\"1296\"><em><strong>\u1ee8ng d\u1ee5ng ph\u1ed5 bi\u1ebfn c\u1ee7a H100 g\u1ed3m:<\/strong><\/em><\/p>\n<p style=\"text-align: justify;\" data-start=\"259\" data-end=\"367\">&#8211; Hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh AI kh\u1ed5ng l\u1ed3 (H100 SXM): GPT-3, Llama, Bard, Claude v\u00e0 c\u00e1c LLM h\u00e0ng tr\u0103m t\u1ef7 tham s\u1ed1.<\/p>\n<p style=\"text-align: justify;\" data-start=\"370\" data-end=\"484\">&#8211; Suy lu\u1eadn LLM t\u1ed1c \u0111\u1ed9 cao (H100 NVL): Chatbot th\u01b0\u01a1ng m\u1ea1i, tr\u1ee3 l\u00fd \u1ea3o, h\u1ec7 th\u1ed1ng khuy\u1ebfn ngh\u1ecb theo th\u1eddi gian th\u1ef1c.<\/p>\n<p style=\"text-align: justify;\" data-start=\"487\" data-end=\"586\">&#8211; AI trong y t\u1ebf &amp; khoa h\u1ecdc s\u1ef1 s\u1ed1ng: Ph\u00e2n t\u00edch gen, m\u00f4 ph\u1ecfng protein, t\u0103ng t\u1ed1c ph\u00e1t tri\u1ec3n thu\u1ed1c.<\/p>\n<p style=\"text-align: justify;\" data-start=\"589\" data-end=\"673\">&#8211; HPC th\u1ebf h\u1ec7 m\u1edbi: M\u00f4 ph\u1ecfng kh\u00ed h\u1eadu, n\u0103ng l\u01b0\u1ee3ng h\u1ea1t nh\u00e2n, si\u00eau m\u00e1y t\u00ednh khoa h\u1ecdc.<\/p>\n<p style=\"text-align: justify;\" data-start=\"676\" data-end=\"781\">&#8211; \u0110i\u1ec7n to\u00e1n \u0111\u00e1m m\u00e2y cao c\u1ea5p: H\u1ea1 t\u1ea7ng AIaaS t\u1ed1i \u01b0u cho enterprise, h\u1ed7 tr\u1ee3 workload AI quy m\u00f4 to\u00e0n c\u1ea7u.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"1791\" data-end=\"1946\"><span style=\"color: #333399;\">7. Nh\u00e0 cung c\u1ea5p NVIDIA A100, H100 GPU ch\u00ednh h\u00e3ng<\/span><\/h2>\n<p dir=\"auto\" style=\"text-align: justify;\">So s\u00e1nh A100 NVIDIA vs H100 cho th\u1ea5y c\u1ea3 hai \u0111\u1ec1u l\u00e0 GPU xu\u1ea5t s\u1eafc cho AI v\u00e0 data center, nh\u01b0ng H100 \u0111\u1ea1i di\u1ec7n cho t\u01b0\u01a1ng lai v\u1edbi c\u1ea3i ti\u1ebfn v\u01b0\u1ee3t b\u1eadc. A100 NVIDIA v\u1eabn l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u00e1ng tin c\u1eady cho nhi\u1ec1u doanh nghi\u1ec7p nh\u1edd hi\u1ec7u su\u1ea5t \u1ed5n \u0111\u1ecbnh v\u00e0 chi ph\u00ed h\u1ee3p l\u00fd.<\/p>\n<p dir=\"auto\" style=\"text-align: justify;\"><a href=\"https:\/\/vnso.vn\/en\/\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-22691 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep.jpg\" alt=\"vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/vnso-doi-tac-dang-tin-cay-cho-doanh-nghiep-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<h3 style=\"text-align: justify;\">7.1. Gi\u00e1 thu\u00ea ho\u1eb7c mua GPU NVIDIA A100<\/h3>\n<p style=\"text-align: justify;\" data-start=\"495\" data-end=\"585\"><strong data-start=\"495\" data-end=\"513\">&#8211; Thu\u00ea t\u1ea1i VNSO:<\/strong> Ch\u1ec9 t\u1eeb <strong data-start=\"521\" data-end=\"536\">1,8 USD\/gi\u1edd<\/strong> (g\u00f3i thu\u00ea 12 th\u00e1ng cho A100 Tensor Core 80GB).<\/p>\n<p style=\"text-align: justify;\" data-start=\"588\" data-end=\"865\"><strong data-start=\"588\" data-end=\"604\">&#8211; Mua qu\u1ed1c t\u1ebf:<\/strong> Gi\u00e1 m\u1ed9t card A100 th\u01b0\u1eddng n\u1eb1m trong kho\u1ea3ng 10.000 \u2013 25.000 USD (t\u01b0\u01a1ng \u0111\u01b0\u01a1ng 260 \u2013 650 tri\u1ec7u VN\u0110), t\u00f9y thu\u1ed9c phi\u00ean b\u1ea3n (PCIe, SXM), s\u1ed1 l\u01b0\u1ee3ng \u0111\u1eb7t v\u00e0 nh\u00e0 ph\u00e2n ph\u1ed1i. Con s\u1ed1 n\u00e0y ch\u01b0a bao g\u1ed3m chi ph\u00ed m\u00e1y ch\u1ee7, \u0111i\u1ec7n n\u0103ng, h\u1ec7 th\u1ed1ng l\u00e0m m\u00e1t v\u00e0 nh\u00e2n s\u1ef1 k\u1ef9 thu\u1eadt.<\/p>\n<p style=\"text-align: justify;\" data-start=\"588\" data-end=\"865\">V\u1edbi m\u1ee9c \u0111\u1ea7u t\u01b0 ph\u1ea7n c\u1ee9ng qu\u00e1 cao, ph\u1ea7n l\u1edbn doanh nghi\u1ec7p t\u1ea1i Vi\u1ec7t Nam ch\u1ecdn thu\u00ea GPU Cloud ho\u1eb7c server AI thay v\u00ec mua h\u1eb3n. H\u00ecnh th\u1ee9c n\u00e0y cho ph\u00e9p tr\u1ea3 ph\u00ed theo nhu c\u1ea7u theo gi\u1edd, theo th\u00e1ng ho\u1eb7c theo t\u1eebng d\u1ef1 \u00e1n, gi\u00fap t\u1ed1i \u01b0u chi ph\u00ed v\u00e0 m\u1edf r\u1ed9ng t\u00e0i nguy\u00ean linh ho\u1ea1t khi c\u1ea7n.<\/p>\n<h3 style=\"text-align: justify;\">7.2. Gi\u00e1 thu\u00ea ho\u1eb7c mua GPU NVIDIA H100<\/h3>\n<p style=\"text-align: justify;\" data-start=\"1199\" data-end=\"1407\"><strong data-start=\"1199\" data-end=\"1217\">&#8211; Mua ph\u1ea7n c\u1ee9ng:<\/strong> M\u1ed9t card NVIDIA H100 Hopper c\u00f3 gi\u00e1 t\u1eeb 22.000 \u2013 60.000 USD, t\u00f9y model v\u00e0 dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb. N\u1ebfu mu\u1ed1n c\u1ea5u h\u00ecnh k\u00e8m server, kh\u00e1ch h\u00e0ng c\u1ea7n li\u00ean h\u1ec7 tr\u1ef1c ti\u1ebfp \u0111\u1ec3 \u0111\u01b0\u1ee3c b\u00e1o gi\u00e1 chi ti\u1ebft.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1410\" data-end=\"1629\"><strong data-start=\"1410\" data-end=\"1423\">&#8211; Thu\u00ea GPU:<\/strong> VNSO cung c\u1ea5p d\u1ecbch v\u1ee5 GPU Cloud H100 v\u1edbi gi\u00e1 t\u1eeb 2 USD\/gi\u1edd, \u0111\u1ed3ng th\u1eddi c\u00f3 nhi\u1ec1u g\u00f3i linh ho\u1ea1t (theo gi\u1edd, th\u00e1ng, qu\u00fd, n\u0103m) v\u00e0 g\u00f3i test th\u1eed \u0111\u1ec3 kh\u00e1ch h\u00e0ng tr\u1ea3i nghi\u1ec7m tr\u01b0\u1edbc khi tri\u1ec3n khai th\u1ef1c t\u1ebf.<\/p>\n<h3 style=\"text-align: justify;\"><b>7.3. \u01afu th\u1ebf c\u1ee7a VNSO so v\u1edbi c\u00e1c nh\u00e0 cung c\u1ea5p kh\u00e1c?<\/b><\/h3>\n<p style=\"text-align: justify;\" data-start=\"1690\" data-end=\"1798\">Khi s\u1eed d\u1ee5ng d\u1ecbch v\u1ee5 t\u1ea1i VNSO, kh\u00e1ch h\u00e0ng nh\u1eadn \u0111\u01b0\u1ee3c nh\u1eefng l\u1ee3i \u00edch n\u1ed5i b\u1eadt m\u00e0 \u00edt \u0111\u01a1n v\u1ecb \u0111\u00e1p \u1ee9ng \u0111\u01b0\u1ee3c \u0111\u1ea7y \u0111\u1ee7:<\/p>\n<p style=\"text-align: justify;\" data-start=\"1802\" data-end=\"1860\">&#8211; GPU c\u00f3 s\u1eb5n, nh\u1eadp kh\u1ea9u ch\u00ednh h\u00e3ng, \u0111\u1ea7y \u0111\u1ee7 ch\u1ee9ng t\u1eeb CO\/CQ.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1863\" data-end=\"1914\">&#8211; Ch\u00ednh s\u00e1ch gi\u00e1 thu\u00ea v\u00e0 mua c\u1ea1nh tranh, linh ho\u1ea1t.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1917\" data-end=\"1960\">&#8211; Tri\u1ec3n khai d\u1ecbch v\u1ee5 ch\u1ec9 trong 30 ph\u00fat.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1963\" data-end=\"1994\">&#8211; H\u1ea1 t\u1ea7ng \u1ed5n \u0111\u1ecbnh, b\u1ea3o m\u1eadt cao.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1997\" data-end=\"2060\">&#8211; \u0110\u1ed9i ng\u0169 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt <strong data-start=\"2021\" data-end=\"2029\">24\/7<\/strong>, t\u01b0 v\u1ea5n gi\u1ea3i ph\u00e1p AI t\u1ed1i \u01b0u.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2063\" data-end=\"2149\">&#8211; Gi\u00fap ti\u1ebft ki\u1ec7m \u0111\u00e1ng k\u1ec3 so v\u1edbi vi\u1ec7c \u0111\u1ea7u t\u01b0 h\u1ec7 th\u1ed1ng ph\u1ea7n c\u1ee9ng tr\u1ecb gi\u00e1 h\u00e0ng tri\u1ec7u USD.<\/p>\n<p data-start=\"182\" data-end=\"604\">&gt;&gt;&gt; \u0110\u0103ng k\u00fd ngay <a href=\"https:\/\/gpu.vnso.vn\/\"><strong>Server AI\/GPU, Cloud GPU VNSO<\/strong><\/a> \u2013 <em>t\u01b0 v\u1ea5n,<\/em><em> b\u00e1o gi\u00e1 &amp; d\u00f9ng th\u1eed mi\u1ec5n ph\u00ed<\/em>!<\/p>\n<p style=\"text-align: justify;\" data-start=\"5253\" data-end=\"5426\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f15879-o2\" lang=\"en-US\" dir=\"ltr\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/en\/wp-json\/wp\/v2\/posts\/22843#wpcf7-f15879-o2\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" novalidate=\"novalidate\" data-status=\"init\" data-trp-original-action=\"\/en\/wp-json\/wp\/v2\/posts\/22843#wpcf7-f15879-o2\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"15879\" \/>\n<input type=\"hidden\" name=\"_wpcf7_version\" value=\"5.9.5\" \/>\n<input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/>\n<input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f15879-o2\" \/>\n<input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/>\n<input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/>\n<input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/div>\n<style>\n .popup-template-wrap .wpcf7-list-item {\n display: inline-block;\n margin: 0 1em 0 0;\n width: 127px;\n}\n<\/style>\n<div class=\"d-flex gap-3\">\n\t<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-name\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" autocomplete=\"name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Your name\/company (*)\" value=\"\" type=\"text\" name=\"your-name\" \/><\/span> <\/label>\n\t<\/p>\n\t<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-phone\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"S\u1ed1 \u0111i\u1ec7n tho\u1ea1i (*)\" value=\"\" type=\"tel\" name=\"your-phone\" \/><\/span> <\/label>\n\t<\/p>\n<\/div>\n<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" autocomplete=\"email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Email c\u00f4ng ty\/c\u00e1 nh\u00e2n (*)\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span> <\/label>\n<\/p>\n<div style=\"text-align: left;\">\n\t<p><label class=\"label-select text-left\"><b> Service you're interested in:<\/b> (Choose one) <\/label><br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-service\"><span class=\"wpcf7-form-control wpcf7-checkbox wpcf7-validates-as-required wpcf7-exclusive-checkbox\"><span class=\"wpcf7-list-item first\"><input type=\"checkbox\" name=\"your-service\" value=\"Hosting\" \/><span class=\"wpcf7-list-item-label\">Hosting<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"VPS\" \/><span class=\"wpcf7-list-item-label\">VPS<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Server\" \/><span class=\"wpcf7-list-item-label\">Cloud Server<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Enterprise Cloud\" \/><span class=\"wpcf7-list-item-label\">Enterprise Cloud<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Private Cloud\" \/><span class=\"wpcf7-list-item-label\">Private Cloud<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Storage\" \/><span class=\"wpcf7-list-item-label\">Cloud Storage<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Camera AI\" \/><span class=\"wpcf7-list-item-label\">Cloud Camera AI<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Dedicated Server\" \/><span class=\"wpcf7-list-item-label\">Dedicated Server<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Server AI\" \/><span class=\"wpcf7-list-item-label\">Server AI<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Server GPU\" \/><span class=\"wpcf7-list-item-label\">Server GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Server Colocation\" \/><span class=\"wpcf7-list-item-label\">Server Colocation<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"CDN\" \/><span class=\"wpcf7-list-item-label\">CDN<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Anti-DDoS\" \/><span class=\"wpcf7-list-item-label\">Anti-DDoS<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"C\u00e1c d\u1ecbch v\u1ee5 kh\u00e1c\" \/><span class=\"wpcf7-list-item-label\">C\u00e1c d\u1ecbch v\u1ee5 kh\u00e1c<\/span><\/span><span class=\"wpcf7-list-item last\"><input type=\"checkbox\" name=\"your-service\" value=\"T\u01b0 v\u1ea5n\" \/><span class=\"wpcf7-list-item-label\">T\u01b0 v\u1ea5n<\/span><\/span><\/span><\/span>\n\t<\/p>\n<\/div>\n<div class=\"m-auto text-center\">\n\t<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Sign Up Now\" \/>\n\t<\/p>\n<\/div><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<input type=\"hidden\" name=\"trp-form-language\" value=\"en\"\/><\/form>\n<\/div>\n<\/p>\n<div class=\"_tableWrapper_sk2ct_13 group flex w-fit flex-col-reverse\" style=\"text-align: justify;\" tabindex=\"-1\">\n<h2 style=\"text-align: justify;\"><b>Th\u00f4ng tin li\u00ean h\u1ec7<\/b><\/h2>\n<p style=\"text-align: justify;\">\u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00f4ng tin v\u1ec1 c\u00e1c gi\u1ea3i ph\u00e1p \u0110i\u1ec7n to\u00e1n \u0111\u00e1m m\u00e2y, chuy\u1ec3n \u0111\u1ed5i s\u1ed1, m\u00e1y ch\u1ee7 \u1ea3o VPS, Server, m\u00e1y ch\u1ee7 v\u1eadt l\u00fd, CDN\u2026 Qu\u00fd kh\u00e1ch vui l\u00f2ng li\u00ean h\u1ec7 ch\u00fang t\u00f4i theo th\u00f4ng 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