{"id":23215,"date":"2025-09-19T13:47:49","date_gmt":"2025-09-19T06:47:49","guid":{"rendered":"https:\/\/vnso.vn\/?p=23215"},"modified":"2025-09-19T13:53:57","modified_gmt":"2025-09-19T06:53:57","slug":"nvidia-tesla-v100-cot-moc-gpu-tensor-core-dau-tien","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvidia-tesla-v100-cot-moc-gpu-tensor-core-dau-tien\/","title":{"rendered":"NVIDIA Tesla V100 &#8211; C\u1ed9t m\u1ed1c GPU Tensor Core \u0111\u1ea7u ti\u00ean"},"content":{"rendered":"<p style=\"text-align: justify;\" data-start=\"445\" data-end=\"484\"><strong data-start=\"145\" data-end=\"166\">NVIDIA Tesla V100<\/strong>\u00a0\u0111\u01b0\u1ee3c t\u1ed1i \u01b0u cho AI, deep learning v\u00e0 HPC. V\u1edbi s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa CUDA cores, Tensor cores v\u00e0 b\u1ed9 nh\u1edb HBM2 t\u1ed1c \u0111\u1ed9 cao, V100 mang l\u1ea1i n\u1ec1n t\u1ea3ng \u1ed5n \u0111\u1ecbnh cho trung t\u00e2m d\u1eef li\u1ec7u v\u00e0 nghi\u00ean c\u1ee9u. D\u00f9 \u0111\u00e3 c\u00f3 th\u1ebf h\u1ec7 m\u1edbi h\u01a1n, \u0111\u00e2y v\u1eabn l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u00e1ng tin c\u1eady cho doanh nghi\u1ec7p c\u1ea7n hi\u1ec7u n\u0103ng m\u1ea1nh v\u1edbi chi ph\u00ed h\u1ee3p l\u00fd.<\/p>\n<p data-start=\"445\" data-end=\"484\">NVIDIA V100 c\u00f3 g\u00ec \u0111\u1eb7c bi\u1ec7t v\u00e0 c\u00f3 nh\u1eefng t\u00ednh n\u0103ng n\u00e0o khi\u1ebfn n\u00f3 v\u1eabn c\u00f2n \u0111\u01b0\u1ee3c doanh nghi\u1ec7p l\u1ef1a ch\u1ecdn \u0111\u1ebfn nay? H\u00e3y c\u00f9ng VNSO t\u00ecm hi\u1ec3u chi ti\u1ebft trong b\u00e0i vi\u1ebft n\u00e0y nh\u00e9!<\/p>\n<p style=\"text-align: justify;\" 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\/23215#wpcf7-f15879-o1\" 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\/23215#wpcf7-f15879-o1\">\n<div style=\"display: 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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=\"445\" data-end=\"484\">1. Gi\u1edbi thi\u1ec7u v\u1ec1 NVIDIA Tesla V100<\/h2>\n<p><a href=\"https:\/\/vnso.vn\/en\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-23245 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Gioi-thieu-ve-NVIDIA-Tesla-V100.jpg\" alt=\"Gi\u1edbi thi\u1ec7u v\u1ec1 NVIDIA Tesla V100\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Gioi-thieu-ve-NVIDIA-Tesla-V100.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Gioi-thieu-ve-NVIDIA-Tesla-V100-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Gioi-thieu-ve-NVIDIA-Tesla-V100-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Gioi-thieu-ve-NVIDIA-Tesla-V100-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Gioi-thieu-ve-NVIDIA-Tesla-V100-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\" data-start=\"486\" data-end=\"788\">NVIDIA Tesla V100 l\u00e0 d\u00f2ng GPU ra m\u1eaft c\u00f9ng ki\u1ebfn tr\u00fac Volta, \u0111\u00e1nh d\u1ea5u b\u01b0\u1edbc ngo\u1eb7t trong l\u0129nh v\u1ef1c t\u0103ng t\u1ed1c \u0111i\u1ec7n to\u00e1n v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o. \u0110\u00e2y c\u0169ng l\u00e0 th\u1ebf h\u1ec7 \u0111\u1ea7u ti\u00ean t\u00edch h\u1ee3p Tensor Core &#8211; m\u1ed9t c\u00f4ng ngh\u1ec7 gi\u00fap t\u0103ng t\u1ed1c c\u00e1c ph\u00e9p to\u00e1n ma tr\u1eadn, \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng trong hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn c\u1ee7a m\u00f4 h\u00ecnh AI.<\/p>\n<p style=\"text-align: justify;\" data-start=\"790\" data-end=\"1180\">So v\u1edbi c\u00e1c GPU tr\u01b0\u1edbc \u0111\u00f3 nh\u01b0 Tesla P100, NVIDIA V100 \u0111em l\u1ea1i hi\u1ec7u su\u1ea5t x\u1eed l\u00fd g\u1ea5p nhi\u1ec1u l\u1ea7n, nh\u1edd s\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a 5120 nh\u00e2n CUDA, 640 nh\u00e2n Tensor Core c\u00f9ng b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb HBM2 l\u00ean \u0111\u1ebfn 900 GB\/s. Ch\u00ednh nh\u1edd kh\u1ea3 n\u0103ng n\u00e0y, V100 tr\u1edf th\u00e0nh s\u1ef1 l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u cho c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u, ph\u00f2ng th\u00ed nghi\u1ec7m nghi\u00ean c\u1ee9u AI v\u00e0 nh\u1eefng h\u1ec7 th\u1ed1ng HPC (High Performance Computing) \u0111\u00f2i h\u1ecfi hi\u1ec7u n\u0103ng c\u1ef1c cao.<\/p>\n<p data-start=\"790\" data-end=\"1180\"><strong>&gt;&gt;&gt; C\u00f3 th\u1ec3 b\u1ea1n quan t\u00e2m \u0111\u1ebfn: <a href=\"https:\/\/vnso.vn\/en\/may-chu-gpu\/\">Thu\u00ea GPU gi\u00e1 r\u1ebb c\u1ea1nh tranh <\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\" data-start=\"1187\" data-end=\"1231\">2. Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt v\u00e0 h\u00ecnh \u1ea3nh th\u1ef1c t\u1ebf c\u1ee7a NVIDIA V100<\/h2>\n<h3 style=\"text-align: justify;\" data-start=\"1233\" data-end=\"1260\">2.1 Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt c\u1ee7a NVIDIA Tesla V100<\/h3>\n<table>\n<thead>\n<tr>\n<th>Th\u00f4ng s\u1ed1<\/th>\n<th>Tesla V100 NVLink<\/th>\n<th>Tesla V100 PCIe<\/th>\n<th>Tesla V100S PCIe<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Hi\u1ec7u su\u1ea5t (v\u1edbi NVIDIA GPU Boost\u2122)<\/strong><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>\u0110\u1ed9 ch\u00ednh x\u00e1c k\u00e9p<\/td>\n<td>7,8 TFLOPS<\/td>\n<td>7 TFLOPS<\/td>\n<td>8,2 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u1ed9 ch\u00ednh x\u00e1c \u0111\u01a1n<\/td>\n<td>15,7 TFLOPS<\/td>\n<td>14 TFLOPS<\/td>\n<td>16,4 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>H\u1ecdc s\u00e2u (Deep Learning)<\/td>\n<td>125 TFLOPS<\/td>\n<td>112 TFLOPS<\/td>\n<td>130 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>B\u0103ng th\u00f4ng k\u1ebft n\u1ed1i hai chi\u1ec1u<\/td>\n<td>NVLink 300 GB\/s<\/td>\n<td>PCIe 32 GB\/s<\/td>\n<td>PCIe 32 GB\/s<\/td>\n<\/tr>\n<tr>\n<td>B\u1ed9 nh\u1edb (CoWoS HBM2 x\u1ebfp ch\u1ed3ng)<\/td>\n<td>16\/32 GB HBM2<\/td>\n<td>16\/32 GB HBM2<\/td>\n<td>32 GB HBM2<\/td>\n<\/tr>\n<tr>\n<td>B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb<\/td>\n<td>900 GB\/s<\/td>\n<td>900 GB\/s<\/td>\n<td>1134 GB\/s<\/td>\n<\/tr>\n<tr>\n<td>C\u00f4ng su\u1ea5t ti\u00eau th\u1ee5 t\u1ed1i \u0111a<\/td>\n<td>300W<\/td>\n<td>250W<\/td>\n<td>250W<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 style=\"text-align: justify;\" data-start=\"1854\" data-end=\"1880\">2.2 H\u00ecnh \u1ea3nh th\u1ef1c t\u1ebf<\/h3>\n<p><a href=\"http:\/\/vnso.vn%20%20\"><img decoding=\"async\" class=\"aligncenter wp-image-23247 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Hinh-anh-thuc-te.jpg\" alt=\"h\u00ecnh \u1ea3nh th\u1ef1c t\u1ebf c\u1ee7a V100\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Hinh-anh-thuc-te.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Hinh-anh-thuc-te-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Hinh-anh-thuc-te-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Hinh-anh-thuc-te-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Hinh-anh-thuc-te-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p style=\"text-align: justify;\" data-start=\"1882\" data-end=\"2318\">NVIDIA Tesla V100 th\u01b0\u1eddng xu\u1ea5t hi\u1ec7n trong c\u00e1c m\u00e1y ch\u1ee7 chuy\u00ean d\u1ee5ng. \u1ede m\u1eb7t trong, GPU \u0111\u01b0\u1ee3c g\u1eafn tr\u1ef1c ti\u1ebfp v\u00e0o mainboard v\u1edbi h\u1ec7 th\u1ed1ng t\u1ea3n nhi\u1ec7t t\u1ed1i \u01b0u \u0111\u1ec3 duy tr\u00ec ho\u1ea1t \u0111\u1ed9ng \u1ed5n \u0111\u1ecbnh. M\u1eb7t tr\u01b0\u1edbc c\u1ee7a m\u00e1y ch\u1ee7 ch\u1ee9a khay \u1ed5 c\u1ee9ng v\u00e0 c\u00e1c \u0111\u00e8n b\u00e1o tr\u1ea1ng th\u00e1i, trong khi m\u1eb7t sau l\u00e0 n\u01a1i b\u1ed1 tr\u00ed ngu\u1ed3n \u0111i\u1ec7n d\u1ef1 ph\u00f2ng v\u00e0 c\u00e1c c\u1ed5ng m\u1ea1ng t\u1ed1c \u0111\u1ed9 cao. Thi\u1ebft k\u1ebf n\u00e0y cho ph\u00e9p h\u1ec7 th\u1ed1ng v\u1eadn h\u00e0nh li\u00ean t\u1ee5c v\u1edbi \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh cao, \u0111\u00e1p \u1ee9ng nhu c\u1ea7u kh\u1eaft khe c\u1ee7a doanh nghi\u1ec7p.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"2325\" data-end=\"2364\">3.\u00a0Ki\u1ebfn tr\u00fac &amp; nguy\u00ean l\u00fd ho\u1ea1t \u0111\u1ed9ng<\/h2>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-23248\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Kien-truc-nguyen-ly-hoat-dong.jpg\" alt=\"Nguy\u00ean l\u00fd ho\u1ea1t \u0111\u1ed9ng V100\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Kien-truc-nguyen-ly-hoat-dong.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Kien-truc-nguyen-ly-hoat-dong-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Kien-truc-nguyen-ly-hoat-dong-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Kien-truc-nguyen-ly-hoat-dong-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Kien-truc-nguyen-ly-hoat-dong-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<h3 style=\"text-align: justify;\" data-start=\"1117\" data-end=\"1692\"><strong data-start=\"1117\" data-end=\"1141\">Volta + Tensor Cores<\/strong><\/h3>\n<p style=\"text-align: justify;\" data-start=\"1117\" data-end=\"1692\">Volta l\u00e0 ki\u1ebfn tr\u00fac \u0111\u1ed9t ph\u00e1: k\u1ebft h\u1ee3p CUDA cores v\u00e0 Tensor Cores tr\u00ean c\u00f9ng SM (Streaming Multiprocessor). Tensor Cores th\u1ef1c hi\u1ec7n c\u00e1c ph\u00e9p nh\u00e2n ma tr\u1eadn (matrix multiply-accumulate) v\u1edbi throughput c\u1ef1c cao cho FP16\/FP32 mixed-precision workloads &#8211; \u0111\u00e2y l\u00e0 l\u00f5i t\u0103ng t\u1ed1c ch\u00ednh cho deep learning (gi\u1ea3m \u0111\u00e1ng k\u1ec3 th\u1eddi gian training so v\u1edbi ch\u1ec9 d\u00f9ng CUDA cores). V\u1ec1 v\u1eadn h\u00e0nh: thay v\u00ec th\u1ef1c hi\u1ec7n h\u00e0ng tr\u0103m FMA FP32, Tensor Core th\u1ef1c hi\u1ec7n c\u00e1c kh\u1ed1i 4\u00d74\/8\u00d78 matrix ops r\u1ea5t hi\u1ec7u qu\u1ea3, \u0111em l\u1ea1i TFLOPS \u201ctheo Tensor\u201d l\u1edbn h\u01a1n nhi\u1ec1u.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"1697\" data-end=\"2021\"><strong data-start=\"1697\" data-end=\"1736\">B\u0103ng th\u00f4ng &amp; b\u1ed9 nh\u1edb (HBM2 v\u00e0 CoWoS)<\/strong><\/h3>\n<p style=\"text-align: justify;\" data-start=\"1697\" data-end=\"2021\">V100 d\u00f9ng HBM2 stacked memory (CoWoS) \u0111\u1ec3 \u0111\u1ea1t b\u0103ng th\u00f4ng r\u1ea5t cao &#8211; \u0111\u00e2y l\u00e0 y\u1ebfu t\u1ed1 then ch\u1ed1t v\u00ec nhi\u1ec1u m\u00f4 h\u00ecnh DL b\u1ecb gi\u1edbi h\u1ea1n b\u1edfi memory bandwidth h\u01a1n l\u00e0 raw FLOPS. B\u0103ng th\u00f4ng n\u00e0y cho ph\u00e9p x\u1eed l\u00fd t\u1ea7ng d\u1eef li\u1ec7u l\u1edbn m\u00e0 kh\u00f4ng b\u1ecb ngh\u1ebdn I\/O b\u1ed9 nh\u1edb GPU.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"2026\" data-end=\"2448\"><strong data-start=\"2026\" data-end=\"2053\">NVLink &amp; m\u1edf r\u1ed9ng \u0111a-GPU<\/strong><\/h3>\n<p style=\"text-align: justify;\" data-start=\"2026\" data-end=\"2448\">NVLink (Volta generation) cho ph\u00e9p li\u00ean k\u1ebft nhi\u1ec1u V100 v\u1edbi throughput hai chi\u1ec1u cao (l\u00ean t\u1edbi 300 GB\/s bi-directional cho NVLink k\u1ebft h\u1ee3p), gi\u1ea3m chi ph\u00ed \u0111\u1ed3ng b\u1ed9 h\u00f3a khi ch\u1ea1y training ph\u00e2n t\u00e1n &#8211; \u0111i\u1ec1u n\u00e0y thay \u0111\u1ed5i c\u00e1ch thi\u1ebft k\u1ebf topology c\u1ee5m GPU so v\u1edbi ch\u1ec9 d\u00f9ng PCIe. V\u1edbi NVLink, c\u00e1c server nhi\u1ec1u GPU c\u00f3 hi\u1ec7u n\u0103ng g\u1ea7n tuy\u1ebfn t\u00ednh h\u01a1n khi scale l\u00ean h\u00e0ng GPU.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"2985\" data-end=\"3044\">4. T\u1ea1i sao NVIDIA V100 \u0111\u01b0\u1ee3c \u01b0a chu\u1ed9ng trong AI v\u00e0 HPC?<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23249\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Tai-sao-NVIDIA-V100-duoc-ua-chuong-trong-AI-va-HPC.jpg\" alt=\"C\u00e1c t\u00ednh n\u0103ng n\u1ed5i b\u1eadt c\u1ee7a NVIDIA V100 \" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Tai-sao-NVIDIA-V100-duoc-ua-chuong-trong-AI-va-HPC.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Tai-sao-NVIDIA-V100-duoc-ua-chuong-trong-AI-va-HPC-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Tai-sao-NVIDIA-V100-duoc-ua-chuong-trong-AI-va-HPC-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Tai-sao-NVIDIA-V100-duoc-ua-chuong-trong-AI-va-HPC-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/Tai-sao-NVIDIA-V100-duoc-ua-chuong-trong-AI-va-HPC-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<p style=\"text-align: justify;\" data-start=\"300\" data-end=\"729\">NVIDIA Tesla V100 l\u00e0 l\u1ef1a ch\u1ecdn gi\u00fap c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u chu\u1ea9n b\u1ecb t\u1ed1t cho t\u01b0\u01a1ng lai. Khi CPU truy\u1ec1n th\u1ed1ng kh\u00f4ng c\u00f2n \u0111\u00e1p \u1ee9ng \u0111\u01b0\u1ee3c t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng c\u1ee7a AI v\u00e0 HPC, GPU t\u0103ng t\u1ed1c nh\u01b0 V100 tr\u1edf th\u00e0nh n\u1ec1n t\u1ea3ng thi\u1ebft y\u1ebfu \u0111\u1ec3 x\u1eed l\u00fd kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn &#8211; t\u1eeb sinh h\u1ecdc ph\u00e2n t\u1eed (bioinformatics), nghi\u00ean c\u1ee9u thu\u1ed1c, cho \u0111\u1ebfn v\u1eadt l\u00fd n\u0103ng l\u01b0\u1ee3ng cao &#8211; n\u01a1i m\u00e0 m\u00f4 ph\u1ecfng \u0111\u01a1n thu\u1ea7n kh\u00f4ng th\u1ec3 d\u1ef1 \u0111o\u00e1n h\u1ebft hi\u1ec7n th\u1ef1c.<\/p>\n<p style=\"text-align: justify;\" data-start=\"731\" data-end=\"1195\">R\u1ea5t nhi\u1ec1u \u1ee9ng d\u1ee5ng cao c\u1ea5p trong khoa h\u1ecdc, k\u1ef9 thu\u1eadt v\u00e0 deep learning \u0111\u00e3 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho GPU. Theo NVIDIA, h\u01a1n 550 \u1ee9ng d\u1ee5ng trong m\u1ea3ng HPC \u0111\u00e3 c\u00f3 kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch ho\u1eb7c \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 t\u1eadn d\u1ee5ng s\u1ee9c m\u1ea1nh c\u1ee7a GPU. \u0110i\u1ec1u \u0111\u00f3 c\u00f3 ngh\u0129a l\u00e0 n\u1ebfu b\u1ea1n \u00e1p d\u1ee5ng V100, h\u1ea7u h\u1ebft workload trong trung t\u00e2m d\u1eef li\u1ec7u s\u1ebd \u0111\u01b0\u1ee3c h\u01b0\u1edfng l\u1ee3i v\u1ec1 t\u1ed1c \u0111\u1ed9 x\u1eed l\u00fd, t\u1eeb m\u00f4 ph\u1ecfng th\u1eddi ti\u1ebft, \u0111\u1ed9ng l\u1ef1c ch\u1ea5t l\u1ecfng (computational fluid dynamics), \u0111\u1ebfn molecular dynamics v\u00e0 h\u00f3a h\u1ecdc l\u01b0\u1ee3ng t\u1eed.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1197\" data-end=\"1639\">Tesla V100 gi\u00fap trung t\u00e2m d\u1eef li\u1ec7u t\u0103ng th\u00f4ng l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c (throughput) v\u00e0 ti\u1ebft ki\u1ec7m t\u00e0i nguy\u00ean r\u00f5 r\u1ec7t. M\u1ed9t node m\u00e1y ch\u1ee7 trang b\u1ecb nhi\u1ec1u V100 c\u00f3 th\u1ec3 thay th\u1ebf h\u00e0ng ch\u1ee5c node CPU: v\u00ed d\u1ee5, trong th\u1eed nghi\u1ec7m v\u1edbi \u1ee9ng d\u1ee5ng SPECFEM3D ho\u1eb7c NAMD, m\u1ed9t node GPU V100 c\u00f3 th\u1ec3 \u0111\u1ea3m nhi\u1ec7m c\u00f4ng vi\u1ec7c t\u01b0\u01a1ng \u0111\u01b0\u01a1ng 13 \u0111\u1ebfn h\u01a1n 50 node CPU, gi\u00fap gi\u1ea3m chi ph\u00ed \u0111i\u1ec7n, chi ph\u00ed m\u1ea1ng, kh\u00f4ng gian rack v\u00e0 l\u00e0m m\u00e1t, \u0111\u1ed3ng th\u1eddi n\u00e2ng cao hi\u1ec7u su\u1ea5t ph\u00e2n ph\u1ed1i nhi\u1ec7m v\u1ee5.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"3046\" data-end=\"3447\">5. \u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf c\u1ee7a NVIDIA Tesla V100<\/h2>\n<p style=\"text-align: justify;\" data-start=\"120\" data-end=\"490\">NVIDIA Tesla V100 l\u00e0 GPU \u0111\u00e1nh d\u1ea5u b\u01b0\u1edbc ngo\u1eb7t l\u1edbn trong k\u1ef7 nguy\u00ean t\u00ednh to\u00e1n t\u0103ng t\u1ed1c, \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng r\u1ed9ng r\u00e3i \u1edf nhi\u1ec1u l\u0129nh v\u1ef1c. Trong AI v\u00e0 h\u1ecdc m\u00e1y, V100 gi\u00fap r\u00fat ng\u1eafn th\u1eddi gian hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh deep learning kh\u1ed5ng l\u1ed3 t\u1eeb v\u00e0i tu\u1ea7n xu\u1ed1ng ch\u1ec9 c\u00f2n v\u00e0i ng\u00e0y, nh\u1edd \u0111\u00f3 t\u1ea1o ra c\u00e1c \u1ee9ng d\u1ee5ng nh\u01b0 nh\u1eadn di\u1ec7n h\u00ecnh \u1ea3nh, x\u1eed l\u00fd gi\u1ecdng n\u00f3i hay h\u1ed7 tr\u1ee3 ch\u1ea9n \u0111o\u00e1n y t\u1ebf qua \u1ea3nh MRI, X-quang.<\/p>\n<p style=\"text-align: justify;\" data-start=\"492\" data-end=\"776\">Trong si\u00eau m\u00e1y t\u00ednh, V100 l\u00e0 n\u1ec1n t\u1ea3ng c\u1ee7a nhi\u1ec1u h\u1ec7 th\u1ed1ng TOP500, ti\u00eau bi\u1ec3u nh\u01b0 Summit, ph\u1ee5c v\u1ee5 m\u00f4 ph\u1ecfng kh\u00ed h\u1eadu, thi\u00ean v\u0103n hay nghi\u00ean c\u1ee9u v\u1eadt li\u1ec7u m\u1edbi. V\u1edbi Big Data, GPU n\u00e0y cho ph\u00e9p ph\u00e2n t\u00edch h\u00e0nh vi kh\u00e1ch h\u00e0ng, g\u1ee3i \u00fd s\u1ea3n ph\u1ea9m ho\u1eb7c ph\u00e1t hi\u1ec7n gian l\u1eadn t\u00e0i ch\u00ednh theo th\u1eddi gian th\u1ef1c.<\/p>\n<p style=\"text-align: justify;\" data-start=\"778\" data-end=\"1109\">Ngo\u00e0i ra, V100 c\u00f2n \u0111\u01b0\u1ee3c d\u00f9ng trong render phim 3D, m\u00f4 ph\u1ecfng CAD, nghi\u00ean c\u1ee9u gen v\u00e0 gi\u1ea3i m\u00e3 DNA. Trong th\u1eddi k\u1ef3 d\u1ecbch COVID-19, n\u00f3 h\u1ed7 tr\u1ee3 m\u00f4 ph\u1ecfng protein virus \u0111\u1ec3 ph\u00e1t tri\u1ec3n vaccine. Tr\u00ean h\u1ea1 t\u1ea7ng cloud, AWS, Google Cloud v\u00e0 Azure \u0111\u1ec1u cung c\u1ea5p V100, gi\u00fap doanh nghi\u1ec7p d\u1ec5 d\u00e0ng khai th\u00e1c s\u1ee9c m\u1ea1nh AI m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u1ea7u t\u01b0 ph\u1ea7n c\u1ee9ng l\u1edbn.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1111\" data-end=\"1374\">Cu\u1ed1i c\u00f9ng, V100 c\u0169ng \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng trong an ninh v\u00e0 qu\u1ed1c ph\u00f2ng, t\u1eeb ph\u00e1t hi\u1ec7n t\u1ea5n c\u00f4ng m\u1ea1ng \u0111\u1ebfn ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u1ec7 tinh. Nh\u00ecn chung, d\u00f9 \u0111\u00e3 c\u00f3 th\u1ebf h\u1ec7 k\u1ebf nhi\u1ec7m nh\u01b0 A100 hay H100, Tesla V100 v\u1eabn gi\u1eef vai tr\u00f2 quan tr\u1ecdng trong nhi\u1ec1u h\u1ec7 th\u1ed1ng AI v\u00e0 HPC tr\u00ean to\u00e0n c\u1ea7u.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"4864\" data-end=\"4913\">6. H\u1ea1n ch\u1ebf &amp; r\u1ee7i ro k\u1ef9 thu\u1eadt<\/h2>\n<h3 style=\"text-align: justify;\" data-start=\"4916\" data-end=\"5367\"><strong data-start=\"4916\" data-end=\"4958\">Kh\u00f4ng c\u00f3 chia GPU theo ph\u1ea7n c\u1ee9ng (MIG)<\/strong><\/h3>\n<p style=\"text-align: justify;\" data-start=\"4916\" data-end=\"5367\">\u00a0V100 <em data-start=\"4965\" data-end=\"4972\">kh\u00f4ng<\/em> c\u00f3 ch\u1ee9c n\u0103ng Multi-Instance GPU (MIG) nh\u01b0 A100; n\u1ebfu c\u1ea7n ph\u00e2n m\u1ea3nh GPU c\u1ee9ng r\u00e0ng bu\u1ed9c cho nhi\u1ec1u kh\u00e1ch\/VM, b\u1ea1n s\u1ebd ph\u1ea3i d\u00f9ng ph\u1ea7n m\u1ec1m (CUDA MPS, vGPU ho\u1eb7c ph\u00e2n b\u1ed5 to\u00e0n GPU cho VM) v\u1edbi gi\u1edbi h\u1ea1n nh\u1ea5t \u0111\u1ecbnh. CUDA MPS gi\u00fap chia s\u1ebb th\u1eddi gian v\u00e0 SMs gi\u1eefa process nh\u01b0ng kh\u00f4ng ph\u00e2n v\u00f9ng b\u1ed9 nh\u1edb v\u1eadt l\u00fd; c\u1ea7n l\u01b0u \u00fd gi\u1edbi h\u1ea1n n\u00e0y khi thi\u1ebft k\u1ebf multi-tenant environments.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"5370\" data-end=\"5692\"><strong data-start=\"5370\" data-end=\"5392\">Tu\u1ed5i \u0111\u1eddi &amp; roadmap<\/strong><\/h3>\n<p style=\"text-align: justify;\" data-start=\"5370\" data-end=\"5692\">V100 l\u00e0 Volta (ra tr\u01b0\u1edbc Ampere\/Hopper). V\u1ec1 m\u1eb7t t\u00ednh n\u0103ng (v\u00ed d\u1ee5 TF32, FP8, MIG), th\u1ebf h\u1ec7 sau (A100\/H100) b\u1ed5 sung nhi\u1ec1u t\u00ednh n\u0103ng m\u1edbi h\u01a1n; n\u1ebfu b\u1ea1n c\u1ea7n c\u00f4ng ngh\u1ec7 cutting-edge (FP8, MIG, TF32), ph\u1ea3i c\u00e2n nh\u1eafc A100\/H100. Tuy V100 v\u1eabn m\u1ea1nh nh\u01b0ng \u0111\u00e3 c\u00f3 l\u1ef1a ch\u1ecdn m\u1edbi h\u01a1n n\u1ebfu b\u1eaft bu\u1ed9c t\u00ednh n\u0103ng \u0111\u00f3.)<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"5695\" data-end=\"5920\"><strong data-start=\"5695\" data-end=\"5719\">TCO &amp; \u0111i\u1ec7n \/ l\u00e0m m\u00e1t<\/strong><\/h3>\n<p style=\"text-align: justify;\" data-start=\"5695\" data-end=\"5920\">SXM NVLink variant ti\u00eau th\u1ee5 \u0111\u1ebfn ~300W, c\u1ea7n h\u1ea1 t\u1ea7ng \u0111i\u1ec7n\/cooling t\u01b0\u01a1ng \u1ee9ng; PCIe variant ~250W. TCO ph\u1ea3i t\u00ednh c\u1ea3 \u0111i\u1ec7n, l\u00e0m m\u00e1t, rack space v\u00e0 chi ph\u00ed li\u00ean quan.<\/p>\n<p data-start=\"5695\" data-end=\"5920\"><strong>&gt;&gt;&gt; Xem th\u00eam t\u1ea1i: <a href=\"https:\/\/vnso.vn\/en\/nvidia-a100-vs-v100-so-sanh-chi-tiet-gpu-ai\/\">So s\u00e1nh chi ti\u1ebft gpu A100 vs V100<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\" data-start=\"3764\" data-end=\"3780\">7. K\u1ebft lu\u1eadn<\/h2>\n<p style=\"text-align: justify;\" data-start=\"259\" data-end=\"602\">NVIDIA Tesla V100 v\u1eabn l\u00e0 GPU c\u1ef1c k\u1ef3 m\u1ea1nh m\u1ebd cho AI v\u00e0 HPC, \u0111\u1eb7c bi\u1ec7t v\u1edbi doanh nghi\u1ec7p mu\u1ed1n tri\u1ec3n khai h\u1ea1 t\u1ea7ng \u0111\u00e3 \u1ed5n \u0111\u1ecbnh, kh\u00f4ng nh\u1ea5t thi\u1ebft ph\u1ea3i theo s\u00e1t c\u00e1c c\u00f4ng ngh\u1ec7 m\u1edbi nh\u1ea5t. Tuy nhi\u00ean, c\u1ea7n c\u00e2n nh\u1eafc k\u1ef9 h\u1ea1n ch\u1ebf v\u1ec1 vi\u1ec7c kh\u00f4ng h\u1ed7 tr\u1ee3 MIG, m\u1ee9c ti\u00eau th\u1ee5 \u0111i\u1ec7n\/cooling kh\u00e1 cao v\u00e0 vi\u1ec7c \u0111\u00e3 c\u00f3 th\u1ebf h\u1ec7 m\u1edbi h\u01a1n (A100, H100) v\u1edbi nhi\u1ec1u t\u00ednh n\u0103ng b\u1ed5 sung.<\/p>\n<p style=\"text-align: justify;\" data-start=\"604\" data-end=\"876\">N\u1ebfu \u01b0u ti\u00ean hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh, h\u1ec7 sinh th\u00e1i ph\u1ea7n m\u1ec1m tr\u01b0\u1edfng th\u00e0nh v\u00e0 chi ph\u00ed th\u1ea5p h\u01a1n so v\u1edbi GPU m\u1edbi, V100 l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u00e1ng tin c\u1eady. Nh\u01b0ng n\u1ebfu doanh nghi\u1ec7p c\u1ea7n c\u00f4ng ngh\u1ec7 cutting-edge nh\u01b0 FP8, MIG hay TF32, th\u00ec vi\u1ec7c xem x\u00e9t A100\/H100 s\u1ebd h\u1ee3p l\u00fd h\u01a1n cho chi\u1ebfn l\u01b0\u1ee3c d\u00e0i h\u1ea1n.<\/p>\n<p style=\"text-align: justify;\" data-start=\"4138\" data-end=\"4260\">N\u1ebfu b\u1ea1n \u0111ang t\u00ecm hi\u1ec3u v\u1ec1 c\u00e1c d\u00f2ng GPU chuy\u00ean d\u1ee5ng cho AI, th\u00ec <strong data-start=\"4200\" data-end=\"4215\">NVIDIA V100<\/strong> ch\u1eafc ch\u1eafn l\u00e0 m\u1ed9t c\u00e1i t\u00ean kh\u00f4ng th\u1ec3 b\u1ecf qua.<\/p>\n<p style=\"text-align: justify;\" 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 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D\u00f9 \u0111\u00e3 c\u00f3 th\u1ebf h\u1ec7 m\u1edbi h\u01a1n, \u0111\u00e2y v\u1eabn l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u00e1ng [&hellip;]<\/p>","protected":false},"author":6,"featured_media":23244,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[533],"tags":[565,511,582],"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>NVIDIA Tesla V100 - C\u1ed9t m\u1ed1c GPU Tensor Core \u0111\u1ea7u ti\u00ean<\/title>\n<meta name=\"description\" content=\"NVIDIA V100 l\u00e0 GPU Tensor Core \u0111\u1ea7u ti\u00ean, \u0111\u00e1nh d\u1ea5u b\u01b0\u1edbc ngo\u1eb7t trong \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c. 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