{"id":24322,"date":"2026-04-13T10:19:44","date_gmt":"2026-04-13T03:19:44","guid":{"rendered":"https:\/\/vnso.vn\/?p=24322"},"modified":"2026-04-13T10:19:44","modified_gmt":"2026-04-13T03:19:44","slug":"nvidia-h100-la-gi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvidia-h100-la-gi\/","title":{"rendered":"NVIDIA H100 l\u00e0 g\u00ec? Ph\u00e2n t\u00edch GPU Datacenter t\u0103ng t\u1ed1c AI cao c\u1ea5p"},"content":{"rendered":"<p style=\"text-align: justify;\" data-start=\"83\" data-end=\"513\">Trong v\u00e0i n\u0103m tr\u1edf l\u1ea1i \u0111\u00e2y, s\u1ef1 b\u00f9ng n\u1ed5 c\u1ee7a AI, \u0111\u1eb7c bi\u1ec7t l\u00e0 c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) nh\u01b0 GPT, \u0111\u00e3 \u0111\u1ea9y nhu c\u1ea7u v\u1ec1 h\u1ea1 t\u1ea7ng t\u00ednh to\u00e1n l\u00ean m\u1ed9t m\u1ee9c ch\u01b0a t\u1eebng c\u00f3. N\u1ebfu tr\u01b0\u1edbc \u0111\u00e2y GPU ch\u1ee7 y\u1ebfu ph\u1ee5c v\u1ee5 \u0111\u1ed3 h\u1ecda ho\u1eb7c machine learning c\u01a1 b\u1ea3n, th\u00ec hi\u1ec7n nay, c\u00e1c h\u1ec7 th\u1ed1ng AI quy m\u00f4 h\u00e0ng tr\u0103m t\u1ef7 tham s\u1ed1 \u0111\u00e3 y\u00eau c\u1ea7u m\u1ed9t l\u1edbp ph\u1ea7n c\u1ee9ng ho\u00e0n to\u00e0n m\u1edbi. Trong b\u1ed1i c\u1ea3nh \u0111\u00f3, NVIDIA H100 ra \u0111\u1eddi \u0111\u1ec3 tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n m\u1edbi cho to\u00e0n b\u1ed9 ng\u00e0nh c\u00f4ng nghi\u1ec7p AI.<\/p>\n<p style=\"text-align: justify;\" data-start=\"515\" data-end=\"726\">Kh\u00f4ng \u0111\u01a1n thu\u1ea7n l\u00e0 m\u1ed9t b\u1ea3n n\u00e2ng c\u1ea5p, H100 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf l\u1ea1i t\u1eeb ki\u1ebfn tr\u00fac l\u00f5i \u0111\u1ec3 ph\u1ee5c v\u1ee5 ri\u00eang cho deep learning, \u0111\u1eb7c bi\u1ec7t l\u00e0 c\u00e1c workload li\u00ean quan \u0111\u1ebfn transformer, n\u1ec1n t\u1ea3ng c\u1ee7a h\u1ea7u h\u1ebft c\u00e1c m\u00f4 h\u00ecnh AI hi\u1ec7n \u0111\u1ea1i. C\u00f9ng <a href=\"https:\/\/vnso.vn\/en\/\">VNSO<\/a> ph\u00e2n t\u00edch chi ti\u1ebft NVIDIA H100, m\u1ed9t trong nh\u1eefng GPU Datacenter m\u1ea1nh nh\u1ea5t hi\u1ec7n nay.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1204\" data-end=\"1373\">&gt;&gt;&gt; B\u1ea1n \u0111ang c\u1ea7n thu\u00ea <a href=\"https:\/\/gpu.vnso.vn\/\"><strong>Cloud GPU<\/strong><\/a> <em><strong>gi\u00e1 r\u1ebb theo gi\u1edd<\/strong><\/em>\u00a0v\u00e0 <a href=\"https:\/\/thuegpu.vnso.vn\/\"><strong>Server GPU<\/strong><\/a> <em><strong>hi\u1ec7u n\u0103ng cao <\/strong><\/em>\u0111\u1ec3 ch\u1ea1y m\u1ecdi t\u00e1c v\u1ee5 AI?<\/p>\n<p style=\"text-align: justify;\" data-start=\"1204\" data-end=\"1373\"><em>\u0110i\u1ec1n th\u00f4ng tin, nh\u1eadn ngay b\u00e1o gi\u00e1, t\u01b0 v\u1ea5n tri\u1ec3n khai ho\u00e0n to\u00e0n mi\u1ec5n ph\u00ed!<\/em><\/p>\n<p style=\"text-align: justify;\" data-start=\"1204\" data-end=\"1373\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f22528-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\/24322#wpcf7-f22528-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\/24322#wpcf7-f22528-o1\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"22528\" \/>\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-f22528-o1\" \/>\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\" id=\"phone\" 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=\"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 GPU\" \/><span class=\"wpcf7-list-item-label\">Server GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud GPU\" \/><span class=\"wpcf7-list-item-label\">Cloud GPU<\/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=\"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=\"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<h2 style=\"text-align: justify;\" data-start=\"733\" data-end=\"754\">NVIDIA H100 l\u00e0 g\u00ec?<\/h2>\n<p style=\"text-align: justify;\" data-start=\"756\" data-end=\"1048\">NVIDIA H100 l\u00e0 GPU datacenter cao c\u1ea5p nh\u1ea5t c\u1ee7a <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA<\/span><\/span>, \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean ki\u1ebfn tr\u00fac Hopper, th\u1ebf h\u1ec7 k\u1ebf nhi\u1ec7m c\u1ee7a Ampere t\u1eebng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong A100. \u0110\u00e2y l\u00e0 d\u00f2ng GPU \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a ho\u00e0n to\u00e0n cho AI, high-performance computing (HPC) v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u quy m\u00f4 l\u1edbn.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1050\" data-end=\"1400\">Kh\u00e1c v\u1edbi c\u00e1c GPU truy\u1ec1n th\u1ed1ng, H100 kh\u00f4ng ch\u1ec9 t\u0103ng s\u1ed1 l\u01b0\u1ee3ng nh\u00e2n t\u00ednh to\u00e1n m\u00e0 c\u00f2n thay \u0111\u1ed5i c\u00e1ch x\u1eed l\u00fd d\u1eef li\u1ec7u trong neural network. \u0110i\u1ec3m \u0111\u1ed9t ph\u00e1 l\u1edbn nh\u1ea5t n\u1eb1m \u1edf vi\u1ec7c t\u00edch h\u1ee3p Transformer Engine, m\u1ed9t c\u01a1 ch\u1ebf ph\u1ea7n c\u1ee9ng chuy\u00ean bi\u1ec7t gi\u00fap t\u0103ng t\u1ed1c c\u00e1c ph\u00e9p to\u00e1n attention trong m\u00f4 h\u00ecnh transformer, t\u1eeb \u0111\u00f3 c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u su\u1ea5t hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"1402\" data-end=\"1533\">B\u1ea3ng th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt NVIDIA H100 GPU Datacenter<\/h2>\n<p style=\"text-align: justify;\" data-path-to-node=\"3\">H\u1ea1 t\u1ea7ng AI, Datacenter hi\u1ec7n \u0111\u1ea1i kh\u00f4ng th\u1ec3 thi\u1ebfu Card NVIDIA H100. Tuy nhi\u00ean, m\u1ed7i phi\u00ean b\u1ea3n c\u00f3 \u01b0u th\u1ebf ri\u00eang: n\u1ebfu <b data-path-to-node=\"3\" data-index-in-node=\"101\">H100 SXM<\/b> d\u1eabn \u0111\u1ea7u v\u1ec1 hi\u1ec7u n\u0103ng thu\u1ea7n t\u00fay cho c\u00e1c si\u00eau m\u00e1y t\u00ednh, th\u00ec <b data-path-to-node=\"3\" data-index-in-node=\"168\">H100 NVL<\/b> l\u1ea1i l\u00e0 v\u0169 kh\u00ed t\u1ed1i th\u01b0\u1ee3ng cho LLM nh\u1edd b\u1ed9 nh\u1edb 94GB v\u01b0\u1ee3t tr\u1ed9i.<\/p>\n<p style=\"text-align: justify;\" data-path-to-node=\"4\">D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng so s\u00e1nh chi ti\u1ebft gi\u00fap b\u1ea1n ch\u1ecdn \u0111\u00fang d\u00f2ng GPU t\u1ed1i \u01b0u nh\u1ea5t cho h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7:<\/p>\n<table style=\"height: 711px;\" width=\"773\" data-path-to-node=\"2\">\n<thead>\n<tr>\n<td><strong>Technical specifications<\/strong><\/td>\n<td><strong>H100 SXM<\/strong><\/td>\n<td><strong>H100 NVL<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span data-path-to-node=\"2,1,0,0\"><b data-path-to-node=\"2,1,0,0\" data-index-in-node=\"0\">FP64<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,1,1,0\">34 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,1,2,0\">30 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,2,0,0\"><b data-path-to-node=\"2,2,0,0\" data-index-in-node=\"0\">FP64 Tensor Core<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,2,1,0\">67 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,2,2,0\">60 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,3,0,0\"><b data-path-to-node=\"2,3,0,0\" data-index-in-node=\"0\">FP32<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,3,1,0\">67 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,3,2,0\">60 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,4,0,0\"><b data-path-to-node=\"2,4,0,0\" data-index-in-node=\"0\">TF32 Tensor Core*<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,4,1,0\">989 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,4,2,0\">835 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,5,0,0\"><b data-path-to-node=\"2,5,0,0\" data-index-in-node=\"0\">BFLOAT16 Tensor Core*<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,5,1,0\">1,979 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,5,2,0\">1,671 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,6,0,0\"><b data-path-to-node=\"2,6,0,0\" data-index-in-node=\"0\">FP16 Tensor Core*<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,6,1,0\">1,979 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,6,2,0\">1,671 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,7,0,0\"><b data-path-to-node=\"2,7,0,0\" data-index-in-node=\"0\">FP8 Tensor Core*<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,7,1,0\">3,958 teraFLOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,7,2,0\">3,341 teraFLOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,8,0,0\"><b data-path-to-node=\"2,8,0,0\" data-index-in-node=\"0\">INT8 Tensor Core*<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,8,1,0\">3,958 TOPS<\/span><\/td>\n<td><span data-path-to-node=\"2,8,2,0\">3,341 TOPS<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,9,0,0\"><b data-path-to-node=\"2,9,0,0\" data-index-in-node=\"0\">B\u1ed9 nh\u1edb GPU (VRAM)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,9,1,0\">80GB HBM3<\/span><\/td>\n<td><span data-path-to-node=\"2,9,2,0\">94GB HBM3e<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,10,0,0\"><b data-path-to-node=\"2,10,0,0\" data-index-in-node=\"0\">B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,10,1,0\">3.35 TB\/s<\/span><\/td>\n<td><span data-path-to-node=\"2,10,2,0\">3.9 TB\/s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,11,0,0\"><b data-path-to-node=\"2,11,0,0\" data-index-in-node=\"0\">B\u1ed9 gi\u1ea3i m\u00e3 (Decoders)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,11,1,0\">7 NVDEC, 7 JPEG<\/span><\/td>\n<td><span data-path-to-node=\"2,11,2,0\">7 NVDEC, 7 JPEG<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,12,0,0\"><b data-path-to-node=\"2,12,0,0\" data-index-in-node=\"0\">TDP (C\u00f4ng su\u1ea5t ti\u00eau th\u1ee5)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,12,1,0\">L\u00ean \u0111\u1ebfn 700W (C\u00f3 th\u1ec3 c\u1ea5u h\u00ecnh)<\/span><\/td>\n<td><span data-path-to-node=\"2,12,2,0\">350-400W (C\u00f3 th\u1ec3 c\u1ea5u h\u00ecnh)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,13,0,0\"><b data-path-to-node=\"2,13,0,0\" data-index-in-node=\"0\">Multi-Instance GPU (MIG)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,13,1,0\">T\u1ed1i \u0111a 7 MIG (10GB m\u1ed7i b\u1ea3n)<\/span><\/td>\n<td><span data-path-to-node=\"2,13,2,0\">T\u1ed1i \u0111a 7 MIG (12GB m\u1ed7i b\u1ea3n)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,14,0,0\"><b data-path-to-node=\"2,14,0,0\" data-index-in-node=\"0\">Ki\u1ec3u d\u00e1ng (Form Factor)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,14,1,0\">SXM<\/span><\/td>\n<td><span data-path-to-node=\"2,14,2,0\">PCIe (Dual-slot, t\u1ea3n nhi\u1ec7t kh\u00ed)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,15,0,0\"><b data-path-to-node=\"2,15,0,0\" data-index-in-node=\"0\">K\u1ebft n\u1ed1i (Interconnect)<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,15,1,0\">NVLink: 900GB\/s; PCIe Gen5: 128GB\/s<\/span><\/td>\n<td><span data-path-to-node=\"2,15,2,0\">NVLink: 600GB\/s; PCIe Gen5: 128GB\/s<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,16,0,0\"><b data-path-to-node=\"2,16,0,0\" data-index-in-node=\"0\">T\u00f9y ch\u1ecdn Server<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,16,1,0\">HGX H100 (4 ho\u1eb7c 8 GPUs); DGX H100 (8 GPUs)<\/span><\/td>\n<td><span data-path-to-node=\"2,16,2,0\">Partner &amp; NVIDIA-Certified Systems (1\u20138 GPUs)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"2,17,0,0\"><b data-path-to-node=\"2,17,0,0\" data-index-in-node=\"0\">NVIDIA AI Enterprise<\/b><\/span><\/td>\n<td><span data-path-to-node=\"2,17,1,0\">Mua r\u1eddi (Add-on)<\/span><\/td>\n<td><span data-path-to-node=\"2,17,2,0\">\u0110\u00e3 bao g\u1ed3m (Included)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 style=\"text-align: justify;\" data-start=\"1402\" data-end=\"1533\">NVIDIA H100 SXM v\u00e0 NVL l\u00e0 g\u00ec? \u0110i\u1ec3m kh\u00e1c bi\u1ec7t<\/h3>\n<p style=\"text-align: justify;\" data-path-to-node=\"0\"><b data-path-to-node=\"0\" data-index-in-node=\"0\">NVIDIA H100 SXM<\/b> l\u00e0 phi\u00ean b\u1ea3n hi\u1ec7u n\u0103ng c\u1ef1c h\u1ea1n, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf d\u1ea1ng module \u0111\u1ec3 t\u00edch h\u1ee3p v\u00e0o c\u00e1c bo m\u1ea1ch chuy\u00ean d\u1ee5ng nh\u01b0 HGX hay DGX. V\u1edbi c\u00f4ng su\u1ea5t 700W v\u00e0 b\u0103ng th\u00f4ng NVLink 900GB\/s, \u0111\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u cho c\u00e1c t\u00e1c v\u1ee5 hu\u1ea5n luy\u1ec7n (Training) m\u00f4 h\u00ecnh AI quy m\u00f4 kh\u1ed5ng l\u1ed3 v\u00e0 t\u00ednh to\u00e1n khoa h\u1ecdc ph\u1ee9c t\u1ea1p.<\/p>\n<div id=\"attachment_24365\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/thuegpu.vnso.vn\/\"><img fetchpriority=\"high\" decoding=\"async\" aria-describedby=\"caption-attachment-24365\" class=\"size-full wp-image-24365\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/But-pha-moi-gioi-han-LLM-cung-suc-manh-GPU-NVIDIA-H100-NVL.jpg\" alt=\"B\u1ee9t ph\u00e1 m\u1ecdi gi\u1edbi h\u1ea1n LLM c\u00f9ng s\u1ee9c m\u1ea1nh GPU NVIDIA H100 NVL\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/But-pha-moi-gioi-han-LLM-cung-suc-manh-GPU-NVIDIA-H100-NVL.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/But-pha-moi-gioi-han-LLM-cung-suc-manh-GPU-NVIDIA-H100-NVL-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/But-pha-moi-gioi-han-LLM-cung-suc-manh-GPU-NVIDIA-H100-NVL-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/But-pha-moi-gioi-han-LLM-cung-suc-manh-GPU-NVIDIA-H100-NVL-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/But-pha-moi-gioi-han-LLM-cung-suc-manh-GPU-NVIDIA-H100-NVL-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-24365\" class=\"wp-caption-text\">B\u1ee9t ph\u00e1 m\u1ecdi gi\u1edbi h\u1ea1n LLM c\u00f9ng s\u1ee9c m\u1ea1nh GPU NVIDIA H100 NVL<\/p><\/div>\n<p style=\"text-align: justify;\" data-path-to-node=\"1\"><b data-path-to-node=\"1\" data-index-in-node=\"0\">NVIDIA H100 NVL<\/b> l\u1ea1i l\u00e0 gi\u1ea3i ph\u00e1p t\u1ed1i \u01b0u cho m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) v\u1edbi thi\u1ebft k\u1ebf d\u1ea1ng card PCIe linh ho\u1ea1t, d\u1ec5 d\u00e0ng l\u1eafp \u0111\u1eb7t v\u00e0o c\u00e1c server rack ti\u00eau chu\u1ea9n. \u0110i\u1ec3m v\u01b0\u1ee3t tr\u1ed9i c\u1ee7a phi\u00ean b\u1ea3n n\u00e0y n\u1eb1m \u1edf dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb VRAM l\u00ean t\u1edbi 94GB, cao h\u01a1n b\u1ea3n SXM, gi\u00fap x\u1eed l\u00fd c\u00e1c kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u suy lu\u1eadn c\u1ef1c l\u1edbn m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<p style=\"text-align: justify;\" data-path-to-node=\"2\">T\u00f3m l\u1ea1i, s\u1ef1 kh\u00e1c bi\u1ec7t c\u1ed1t l\u00f5i n\u1eb1m \u1edf m\u1ee5c \u0111\u00edch tri\u1ec3n khai: H100 SXM t\u1eadp trung v\u00e0o s\u1ee9c m\u1ea1nh x\u1eed l\u00fd thu\u1ea7n t\u00fay cho c\u00e1c si\u00eau m\u00e1y t\u00ednh, trong khi H100 NVL \u01b0u ti\u00ean kh\u1ea3 n\u0103ng l\u01b0u tr\u1eef b\u1ed9 nh\u1edb v\u00e0 t\u00ednh t\u01b0\u01a1ng th\u00edch cao. T\u00f9y v\u00e0o h\u1ea1 t\u1ea7ng s\u1eb5n c\u00f3 v\u00e0 nhu c\u1ea7u \u0111\u00e0o t\u1ea1o hay ch\u1ea1y \u1ee9ng d\u1ee5ng th\u1ef1c t\u1ebf m\u00e0 doanh nghi\u1ec7p c\u00f3 th\u1ec3 l\u1ef1a ch\u1ecdn phi\u00ean b\u1ea3n ph\u00f9 h\u1ee3p.<\/p>\n<p style=\"text-align: justify;\" data-path-to-node=\"2\"><strong>&gt;&gt;&gt; Xem th\u00eam <a href=\"https:\/\/vnso.vn\/en\/nvidia-h100-nvl-la-gi-giai-ma-suc-manh-dung-sau-datacenter\/\">NVIDIA H100 NVL l\u00e0 g\u00ec?<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\" data-start=\"1402\" data-end=\"1533\">GPU NVIDIA H100 mang l\u1ea1i hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i cho m\u1ecdi t\u00e1c v\u1ee5 AI, Datacenter<\/h2>\n<h3 style=\"text-align: justify;\" data-start=\"0\" data-end=\"68\">Hu\u1ea5n luy\u1ec7n AI (AI Training Performance)<\/h3>\n<p style=\"text-align: justify;\" data-start=\"70\" data-end=\"504\">M\u1ed9t trong nh\u1eefng l\u1ee3i \u00edch l\u1edbn nh\u1ea5t c\u1ee7a <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> n\u1eb1m \u1edf kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh AI quy m\u00f4 l\u1edbn. Trong c\u00e1c benchmark th\u1ef1c t\u1ebf v\u1edbi m\u00f4 h\u00ecnh GPT-3 (175B parameters), H100 cho th\u1ea5y t\u1ed1c \u0111\u1ed9 training cao h\u01a1n t\u1edbi 4 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc A100. \u0110\u00e2y kh\u00f4ng ch\u1ec9 l\u00e0 c\u1ea3i thi\u1ec7n tuy\u1ebfn t\u00ednh m\u00e0 l\u00e0 b\u01b0\u1edbc nh\u1ea3y v\u1ecdt, gi\u00fap r\u00fat ng\u1eafn th\u1eddi gian training t\u1eeb h\u00e0ng tu\u1ea7n xu\u1ed1ng c\u00f2n v\u00e0i ng\u00e0y.<\/p>\n<p style=\"text-align: justify;\" data-start=\"506\" data-end=\"873\">\u1ede m\u1ed9t s\u1ed1 workload transformer ph\u1ee9c t\u1ea1p h\u01a1n, nh\u1edd ki\u1ebfn tr\u00fac Hopper v\u00e0 Tensor Core th\u1ebf h\u1ec7 th\u1ee9 4, hi\u1ec7u n\u0103ng th\u1ef1c t\u1ebf th\u01b0\u1eddng \u0111\u1ea1t m\u1ee9c t\u0103ng kho\u1ea3ng 3\u20134 l\u1ea7n trong m\u00f4i tr\u01b0\u1eddng production. \u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng v\u1edbi doanh nghi\u1ec7p, v\u00ec th\u1eddi gian training gi\u1ea3m \u0111\u1ed3ng ngh\u0129a v\u1edbi chi ph\u00ed v\u1eadn h\u00e0nh th\u1ea5p h\u01a1n v\u00e0 kh\u1ea3 n\u0103ng iterate m\u00f4 h\u00ecnh nhanh h\u01a1n.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"880\" data-end=\"923\">T\u0103ng t\u1ed1c AI inference l\u00ean t\u1edbi h\u00e0ng ch\u1ee5c l\u1ea7n<\/h3>\n<p style=\"text-align: justify;\" data-start=\"925\" data-end=\"1127\">Kh\u00f4ng ch\u1ec9 m\u1ea1nh \u1edf training, <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> c\u00f2n \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho inference, giai \u0111o\u1ea1n quan tr\u1ecdng trong c\u00e1c h\u1ec7 th\u1ed1ng AI production nh\u01b0 chatbot, AI SaaS hay recommendation system.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1129\" data-end=\"1418\">Theo c\u00e1c benchmark v\u1edbi m\u00f4 h\u00ecnh chatbot quy m\u00f4 l\u1edbn (530B parameters), H100 c\u00f3 th\u1ec3 \u0111\u1ea1t hi\u1ec7u n\u0103ng inference cao h\u01a1n t\u1edbi 30 l\u1ea7n so v\u1edbi A100 . \u0110i\u1ec1u n\u00e0y \u0111\u1ed3ng ngh\u0129a v\u1edbi vi\u1ec7c m\u1ed9t h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng H100 c\u00f3 th\u1ec3 x\u1eed l\u00fd nhi\u1ec1u request h\u01a1n v\u1edbi \u0111\u1ed9 tr\u1ec5 th\u1ea5p h\u01a1n \u0111\u00e1ng k\u1ec3.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1420\" data-end=\"1575\">Ngo\u00e0i ra, latency c\u0169ng \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n r\u00f5 r\u1ec7t, gi\u00fap c\u00e1c \u1ee9ng d\u1ee5ng real-time AI nh\u01b0 tr\u1ee3 l\u00fd \u1ea3o ho\u1eb7c AI customer service ho\u1ea1t \u0111\u1ed9ng m\u01b0\u1ee3t m\u00e0 h\u01a1n, g\u1ea7n nh\u01b0 t\u1ee9c th\u00ec.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"1582\" data-end=\"1637\">Transformer Engine v\u00e0 FP8: b\u01b0\u1edbc \u0111\u1ed9t ph\u00e1 v\u1ec1 hi\u1ec7u su\u1ea5t<\/h3>\n<p style=\"text-align: justify;\" data-start=\"1639\" data-end=\"1817\">\u0110i\u1ec3m kh\u00e1c bi\u1ec7t c\u1ed1t l\u00f5i gi\u00fap <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> v\u01b0\u1ee3t xa c\u00e1c GPU tr\u01b0\u1edbc \u0111\u00f3 n\u1eb1m \u1edf Transformer Engine, m\u1ed9t c\u00f4ng ngh\u1ec7 ph\u1ea7n c\u1ee9ng chuy\u00ean bi\u1ec7t cho m\u00f4 h\u00ecnh transformer.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1819\" data-end=\"2120\">Transformer Engine cho ph\u00e9p GPU s\u1eed d\u1ee5ng \u0111\u1ecbnh d\u1ea1ng FP8 thay v\u00ec FP16\/FP32 truy\u1ec1n th\u1ed1ng, gi\u00fap t\u0103ng throughput t\u00ednh to\u00e1n l\u00ean \u0111\u00e1ng k\u1ec3. Trong th\u1ef1c t\u1ebf, c\u00e1c ph\u00e9p to\u00e1n FP8 c\u00f3 th\u1ec3 \u0111\u1ea1t throughput cao g\u1ea5p \u0111\u00f4i so v\u1edbi FP16 , trong khi v\u1eabn gi\u1eef \u0111\u01b0\u1ee3c \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ea7n thi\u1ebft cho AI.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2122\" data-end=\"2388\">Khi k\u1ebft h\u1ee3p v\u1edbi c\u01a1 ch\u1ebf t\u1ef1 \u0111\u1ed9ng chuy\u1ec3n \u0111\u1ed5i gi\u1eefa FP8 v\u00e0 FP16, H100 kh\u00f4ng ch\u1ec9 t\u0103ng t\u1ed1c m\u00e0 c\u00f2n t\u1ed1i \u01b0u h\u00f3a b\u1ed9 nh\u1edb. M\u1ed9t s\u1ed1 th\u1eed nghi\u1ec7m cho th\u1ea5y th\u1eddi gian training c\u00f3 th\u1ec3 gi\u1ea3m t\u1eeb 7 ng\u00e0y xu\u1ed1ng ch\u1ec9 c\u00f2n kho\u1ea3ng 20 gi\u1edd trong c\u00e1c m\u00f4 h\u00ecnh l\u1edbn .<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"2395\" data-end=\"2447\">Hi\u1ec7u n\u0103ng HPC t\u0103ng m\u1ea1nh cho c\u00e1c b\u00e0i to\u00e1n khoa h\u1ecdc<\/h3>\n<p style=\"text-align: justify;\" data-start=\"2449\" data-end=\"2746\">B\u00ean c\u1ea1nh AI, <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> c\u0169ng mang l\u1ea1i l\u1ee3i \u00edch l\u1edbn trong l\u0129nh v\u1ef1c high-performance computing (HPC). C\u00e1c benchmark cho th\u1ea5y hi\u1ec7u n\u0103ng c\u00f3 th\u1ec3 t\u0103ng t\u1edbi 7 l\u1ea7n trong c\u00e1c b\u00e0i to\u00e1n nh\u01b0 m\u00f4 ph\u1ecfng v\u1eadt l\u00fd, ph\u00e2n t\u00edch DNA ho\u1eb7c t\u00ednh to\u00e1n khoa h\u1ecdc .<\/p>\n<p style=\"text-align: justify;\" data-start=\"2748\" data-end=\"3031\">\u0110\u1eb7c bi\u1ec7t, v\u1edbi c\u00e1c thu\u1eadt to\u00e1n dynamic programming nh\u01b0 Smith-Waterman (d\u00f9ng trong genomics), H100 c\u00f3 th\u1ec3 nhanh h\u01a1n t\u1edbi 40 l\u1ea7n so v\u1edbi CPU truy\u1ec1n th\u1ed1ng . \u0110i\u1ec1u n\u00e0y m\u1edf ra kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u00e1c b\u00e0i to\u00e1n khoa h\u1ecdc ph\u1ee9c t\u1ea1p trong th\u1eddi gian ng\u1eafn h\u01a1n \u0111\u00e1ng k\u1ec3.<\/p>\n<div id=\"attachment_24364\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/thuegpu.vnso.vn\/\"><img decoding=\"async\" aria-describedby=\"caption-attachment-24364\" class=\"size-full wp-image-24364\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Phan-tich-du-lieu-chuyen-sau-voi-suc-manh-xu-ly-song-song-vuot-troi.jpg\" alt=\"Ph\u00e2n t\u00edch d\u1eef li\u1ec7u chuy\u00ean s\u00e2u v\u1edbi s\u1ee9c m\u1ea1nh x\u1eed l\u00fd song song v\u01b0\u1ee3t tr\u1ed9i\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Phan-tich-du-lieu-chuyen-sau-voi-suc-manh-xu-ly-song-song-vuot-troi.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Phan-tich-du-lieu-chuyen-sau-voi-suc-manh-xu-ly-song-song-vuot-troi-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Phan-tich-du-lieu-chuyen-sau-voi-suc-manh-xu-ly-song-song-vuot-troi-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Phan-tich-du-lieu-chuyen-sau-voi-suc-manh-xu-ly-song-song-vuot-troi-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Phan-tich-du-lieu-chuyen-sau-voi-suc-manh-xu-ly-song-song-vuot-troi-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-24364\" class=\"wp-caption-text\">Ph\u00e2n t\u00edch d\u1eef li\u1ec7u chuy\u00ean s\u00e2u v\u1edbi s\u1ee9c m\u1ea1nh x\u1eed l\u00fd song song v\u01b0\u1ee3t tr\u1ed9i<\/p><\/div>\n<h3 style=\"text-align: justify;\" data-start=\"3038\" data-end=\"3082\">B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb c\u1ef1c cao gi\u1ea3m bottleneck<\/h3>\n<p style=\"text-align: justify;\" data-start=\"3084\" data-end=\"3349\">M\u1ed9t y\u1ebfu t\u1ed1 th\u01b0\u1eddng b\u1ecb b\u1ecf qua nh\u01b0ng c\u1ef1c k\u1ef3 quan tr\u1ecdng trong hi\u1ec7u n\u0103ng GPU l\u00e0 b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb. <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> s\u1eed d\u1ee5ng HBM3 v\u1edbi b\u0103ng th\u00f4ng l\u00ean t\u1edbi kho\u1ea3ng 3\u20133.9 TB\/s , cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.<\/p>\n<p style=\"text-align: justify;\" data-start=\"3351\" data-end=\"3554\">Trong c\u00e1c m\u00f4 h\u00ecnh l\u1edbn, \u0111\u1eb7c bi\u1ec7t l\u00e0 LLM, bottleneck kh\u00f4ng n\u1eb1m \u1edf compute m\u00e0 \u1edf vi\u1ec7c truy\u1ec1n d\u1eef li\u1ec7u. B\u0103ng th\u00f4ng cao gi\u00fap gi\u1ea3m th\u1eddi gian ch\u1edd, t\u0103ng utilization GPU v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t t\u1ed5ng th\u1ec3 c\u1ee7a h\u1ec7 th\u1ed1ng.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"3561\" data-end=\"3607\">Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng multi-GPU g\u1ea7n nh\u01b0 tuy\u1ebfn t\u00ednh<\/h3>\n<p style=\"text-align: justify;\" data-start=\"3609\" data-end=\"3931\">Hi\u1ec7u su\u1ea5t c\u1ee7a <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> kh\u00f4ng ch\u1ec9 \u0111\u1ebfn t\u1eeb m\u1ed9t GPU \u0111\u01a1n l\u1ebb m\u00e0 c\u00f2n \u0111\u1ebfn t\u1eeb kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng. V\u1edbi NVLink th\u1ebf h\u1ec7 m\u1edbi cung c\u1ea5p b\u0103ng th\u00f4ng l\u00ean t\u1edbi 900 GB\/s gi\u1eefa c\u00e1c GPU , H100 cho ph\u00e9p scale h\u1ec7 th\u1ed1ng l\u00ean h\u00e0ng ch\u1ee5c ho\u1eb7c h\u00e0ng tr\u0103m GPU m\u00e0 v\u1eabn duy tr\u00ec hi\u1ec7u su\u1ea5t cao.<\/p>\n<p style=\"text-align: justify;\" data-start=\"3933\" data-end=\"4109\">\u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng trong vi\u1ec7c training c\u00e1c m\u00f4 h\u00ecnh h\u00e0ng tr\u0103m t\u1ef7 ho\u1eb7c ngh\u00ecn t\u1ef7 tham s\u1ed1, n\u01a1i vi\u1ec7c ph\u00e2n t\u00e1n workload hi\u1ec7u qu\u1ea3 quy\u1ebft \u0111\u1ecbnh tr\u1ef1c ti\u1ebfp \u0111\u1ebfn t\u1ed1c \u0111\u1ed9 v\u00e0 chi ph\u00ed.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"4116\" data-end=\"4159\">T\u1ed1i \u01b0u chi ph\u00ed tr\u00ean m\u1ed7i \u0111\u01a1n v\u1ecb hi\u1ec7u n\u0103ng<\/h3>\n<p style=\"text-align: justify;\" data-start=\"4161\" data-end=\"4476\">D\u00f9 chi ph\u00ed m\u1ed7i GPU <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> r\u1ea5t cao, nh\u01b0ng x\u00e9t tr\u00ean hi\u1ec7u n\u0103ng mang l\u1ea1i, t\u1ed5ng chi ph\u00ed cho m\u1ed7i l\u1ea7n training ho\u1eb7c inference l\u1ea1i gi\u1ea3m \u0111\u00e1ng k\u1ec3. V\u1edbi m\u1ee9c t\u0103ng hi\u1ec7u n\u0103ng t\u1eeb 3x \u0111\u1ebfn 10x t\u00f9y workload, doanh nghi\u1ec7p c\u00f3 th\u1ec3 gi\u1ea3m s\u1ed1 l\u01b0\u1ee3ng GPU c\u1ea7n thi\u1ebft, t\u1eeb \u0111\u00f3 gi\u1ea3m chi ph\u00ed \u0111i\u1ec7n, h\u1ea1 t\u1ea7ng v\u00e0 v\u1eadn h\u00e0nh.<\/p>\n<p style=\"text-align: justify;\" data-start=\"4478\" data-end=\"4598\">Trong nhi\u1ec1u tr\u01b0\u1eddng h\u1ee3p th\u1ef1c t\u1ebf, vi\u1ec7c s\u1eed d\u1ee5ng H100 gi\u00fap gi\u1ea3m t\u1ed5ng chi ph\u00ed s\u1edf h\u1eefu (TCO) d\u00f9 chi ph\u00ed \u0111\u1ea7u t\u01b0 ban \u0111\u1ea7u cao h\u01a1n.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"1540\" data-end=\"1588\">Ki\u1ebfn tr\u00fac Hopper l\u00e0 n\u1ec1n t\u1ea3ng s\u1ee9c m\u1ea1nh c\u1ee7a H100<\/h3>\n<p style=\"text-align: justify;\" data-start=\"1590\" data-end=\"1796\">Tr\u00e1i tim c\u1ee7a NVIDIA H100 l\u00e0 ki\u1ebfn tr\u00fac Hopper, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf v\u1edbi m\u1ee5c ti\u00eau duy nh\u1ea5t l\u00e0 t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u n\u0103ng AI. Hopper kh\u00f4ng ch\u1ec9 c\u1ea3i ti\u1ebfn v\u1ec1 s\u1ed1 l\u01b0\u1ee3ng tensor core m\u00e0 c\u00f2n thay \u0111\u1ed5i c\u00e1ch GPU x\u1eed l\u00fd d\u1eef li\u1ec7u s\u1ed1 h\u1ecdc.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1798\" data-end=\"2157\">M\u1ed9t trong nh\u1eefng c\u1ea3i ti\u1ebfn quan tr\u1ecdng nh\u1ea5t l\u00e0 h\u1ed7 tr\u1ee3 \u0111\u1ecbnh d\u1ea1ng FP8 &#8211; m\u1ed9t b\u01b0\u1edbc ti\u1ebfn l\u1edbn so v\u1edbi FP16 v\u00e0 FP32 tr\u01b0\u1edbc \u0111\u00e2y. FP8 cho ph\u00e9p gi\u1ea3m dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb s\u1eed d\u1ee5ng v\u00e0 t\u0103ng t\u1ed1c \u0111\u1ed9 t\u00ednh to\u00e1n m\u00e0 v\u1eabn gi\u1eef \u0111\u01b0\u1ee3c \u0111\u1ed9 ch\u00ednh x\u00e1c \u0111\u1ee7 cho ph\u1ea7n l\u1edbn workload AI. Trong th\u1ef1c t\u1ebf, \u0111i\u1ec1u n\u00e0y gi\u00fap t\u0103ng hi\u1ec7u su\u1ea5t training l\u00ean nhi\u1ec1u l\u1ea7n m\u00e0 kh\u00f4ng c\u1ea7n t\u0103ng t\u00e0i nguy\u00ean ph\u1ea7n c\u1ee9ng t\u01b0\u01a1ng \u1ee9ng.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2159\" data-end=\"2397\">B\u00ean c\u1ea1nh \u0111\u00f3, H100 c\u00f2n s\u1edf h\u1eefu b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb l\u00ean t\u1edbi h\u01a1n 3 TB\/s nh\u1edd s\u1eed d\u1ee5ng HBM3, cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc. \u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng trong c\u00e1c m\u00f4 h\u00ecnh l\u1edbn, n\u01a1i bottleneck th\u01b0\u1eddng n\u1eb1m \u1edf vi\u1ec7c truy\u1ec1n d\u1eef li\u1ec7u h\u01a1n l\u00e0 t\u00ednh to\u00e1n.<\/p>\n<div id=\"attachment_24366\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/thuegpu.vnso.vn\/\"><img decoding=\"async\" aria-describedby=\"caption-attachment-24366\" class=\"size-full wp-image-24366\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Giai-phap-chuan-doanh-nghiep-Toi-uu-quy-trinh-trien-khai-AI-tu-A-Z.jpg\" alt=\"Gi\u1ea3i ph\u00e1p chu\u1ea9n doanh nghi\u1ec7p T\u1ed1i \u01b0u quy tr\u00ecnh tri\u1ec3n khai AI t\u1eeb A-Z\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Giai-phap-chuan-doanh-nghiep-Toi-uu-quy-trinh-trien-khai-AI-tu-A-Z.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Giai-phap-chuan-doanh-nghiep-Toi-uu-quy-trinh-trien-khai-AI-tu-A-Z-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Giai-phap-chuan-doanh-nghiep-Toi-uu-quy-trinh-trien-khai-AI-tu-A-Z-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Giai-phap-chuan-doanh-nghiep-Toi-uu-quy-trinh-trien-khai-AI-tu-A-Z-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Giai-phap-chuan-doanh-nghiep-Toi-uu-quy-trinh-trien-khai-AI-tu-A-Z-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-24366\" class=\"wp-caption-text\">Gi\u1ea3i ph\u00e1p chu\u1ea9n doanh nghi\u1ec7p T\u1ed1i \u01b0u quy tr\u00ecnh tri\u1ec3n khai AI t\u1eeb A-Z<\/p><\/div>\n<h2 style=\"text-align: justify;\" data-start=\"0\" data-end=\"43\">So s\u00e1nh v\u1edbi GPU Datacenter AI ph\u1ed5 bi\u1ebfn &#8211; NVIDIA H100 vs A100<\/h2>\n<p style=\"text-align: justify;\" data-start=\"45\" data-end=\"369\">Trong qu\u00e1 tr\u00ecnh tri\u1ec3n khai h\u1ea1 t\u1ea7ng AI, NVIDIA H100 v\u00e0 NVIDIA A100 l\u00e0 hai l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn nh\u1ea5t hi\u1ec7n nay. \u0110\u00e2y kh\u00f4ng ch\u1ec9 l\u00e0 hai th\u1ebf h\u1ec7 GPU li\u00ean ti\u1ebfp m\u00e0 c\u00f2n \u0111\u1ea1i di\u1ec7n cho hai giai \u0111o\u1ea1n ph\u00e1t tri\u1ec3n c\u1ee7a AI: A100 t\u1ed1i \u01b0u cho machine learning truy\u1ec1n th\u1ed1ng, trong khi H100 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho k\u1ef7 nguy\u00ean m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM).<\/p>\n<p style=\"text-align: justify;\" data-start=\"371\" data-end=\"527\">Vi\u1ec7c so s\u00e1nh hai d\u00f2ng GPU n\u00e0y gi\u00fap doanh nghi\u1ec7p x\u00e1c \u0111\u1ecbnh r\u00f5 n\u00ean \u0111\u1ea7u t\u01b0 hi\u1ec7u n\u0103ng cao \u0111\u1ec3 ph\u1ee5c v\u1ee5 AI quy m\u00f4 l\u1edbn, hay t\u1ed1i \u01b0u chi ph\u00ed v\u1edbi c\u00e1c workload v\u1eeba ph\u1ea3i.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"371\" data-end=\"527\">B\u1ea3ng so s\u00e1nh NVIDIA H100 v\u00e0 NVIDIA A100 GPU<\/h3>\n<table style=\"height: 418px;\" width=\"601\">\n<thead>\n<tr>\n<th>Ti\u00eau ch\u00ed<\/th>\n<th>NVIDIA H100<\/th>\n<th>NVIDIA A100<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Ki\u1ebfn tr\u00fac<\/td>\n<td>Hopper<\/td>\n<td>Ampere<\/td>\n<\/tr>\n<tr>\n<td>C\u00f4ng ngh\u1ec7 AI<\/td>\n<td>C\u00f3 Transformer Engine, FP8<\/td>\n<td>Kh\u00f4ng c\u00f3 FP8<\/td>\n<\/tr>\n<tr>\n<td>Hi\u1ec7u n\u0103ng training<\/td>\n<td>Nhanh h\u01a1n ~3\u20134 l\u1ea7n<\/td>\n<td>M\u1ee9c c\u01a1 b\u1ea3n<\/td>\n<\/tr>\n<tr>\n<td>Hi\u1ec7u n\u0103ng inference<\/td>\n<td>Nhanh h\u01a1n t\u1edbi ~10\u201330 l\u1ea7n (t\u00f9y model)<\/td>\n<td>Th\u1ea5p h\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb<\/td>\n<td>~3.35 TB\/s (HBM3)<\/td>\n<td>~2 TB\/s (HBM2e)<\/td>\n<\/tr>\n<tr>\n<td>NVLink<\/td>\n<td>900 GB\/s<\/td>\n<td>600 GB\/s<\/td>\n<\/tr>\n<tr>\n<td>Ph\u00f9 h\u1ee3p<\/td>\n<td>LLM l\u1edbn, AI production<\/td>\n<td>AI v\u1eeba, chi ph\u00ed th\u1ea5p h\u01a1n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: justify;\"><strong>&gt;&gt;&gt; Xem th\u00eam <a href=\"https:\/\/vnso.vn\/en\/thue-server-gpu-nvidia-a100-pcie-40gb-chi-voi-32k-d-gio\/\">Thu\u00ea Server GPU NVIDIA A100 PCIe 40GB ch\u1ec9 v\u1edbi 59K \u0111\/gi\u1edd<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\" data-start=\"0\" data-end=\"49\">C\u00e1c Case Study ph\u1ed5 bi\u1ebfn v\u1ec1 Hi\u1ec7u su\u1ea5t NVIDIA H100 trong AI &amp; HPC<\/h2>\n<h3 style=\"text-align: justify;\">Training LLM quy m\u00f4 l\u1edbn<\/h3>\n<p style=\"text-align: justify;\" data-start=\"80\" data-end=\"389\">NVIDIA H100 \u0111\u00e3 \u0111\u01b0\u1ee3c tri\u1ec3n khai trong c\u00e1c c\u1ee5m h\u00e0ng ngh\u00ecn GPU \u0111\u1ec3 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh GPT-scale. Trong benchmark MLPerf, m\u1ed9t h\u1ec7 th\u1ed1ng h\u01a1n 3,000 GPU H100 c\u00f3 th\u1ec3 ho\u00e0n th\u00e0nh training GPT-3 ch\u1ec9 trong kho\u1ea3ng <strong data-start=\"279\" data-end=\"290\">11 ph\u00fat<\/strong>, nhanh h\u01a1n nhi\u1ec1u l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc. \u0110i\u1ec1u n\u00e0y cho th\u1ea5y kh\u1ea3 n\u0103ng scale c\u1ef1c m\u1ea1nh khi train LLM.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"396\" data-end=\"432\">T\u0103ng t\u1ed1c x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn (HPC)<\/h3>\n<p style=\"text-align: justify;\" data-start=\"434\" data-end=\"650\">Trong b\u00e0i to\u00e1n \u0111\u1ed3 th\u1ecb quy m\u00f4 l\u1edbn (Graph500), h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng H100 \u0111\u1ea1t t\u1edbi <strong data-start=\"509\" data-end=\"540\">410 ngh\u00ecn t\u1ef7 ph\u00e9p t\u00ednh\/gi\u00e2y<\/strong>, nhanh h\u01a1n h\u01a1n 2 l\u1ea7n so v\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng tr\u01b0\u1edbc \u0111\u00f3 v\u00e0 t\u1ed1i \u01b0u chi ph\u00ed t\u1ed1t h\u01a1n nh\u1edd gi\u1ea3m s\u1ed1 l\u01b0\u1ee3ng node c\u1ea7n thi\u1ebft.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"657\" data-end=\"693\">Gi\u1ea3m chi ph\u00ed AI trong production<\/h3>\n<p style=\"text-align: justify;\" data-start=\"695\" data-end=\"729\">\u0110\u1eb7c bi\u1ec7t quan tr\u1ecdng v\u1edbi doanh nghi\u1ec7p v\u1eadn h\u00e0nh AI \u1edf quy m\u00f4 l\u1edbn, \u1edf workload NLP th\u1ef1c t\u1ebf, H100 gi\u00fap:<\/p>\n<p style=\"text-align: justify;\">&#8211; T\u0103ng throughput training t\u1edbi <strong data-start=\"761\" data-end=\"774\">10\u201312 l\u1ea7n<\/strong><\/p>\n<p style=\"text-align: justify;\">&#8211; T\u0103ng inference kho\u1ea3ng <strong data-start=\"801\" data-end=\"812\">5\u20137 l\u1ea7n<\/strong><\/p>\n<p style=\"text-align: justify;\">&#8211; Gi\u1ea3m chi ph\u00ed x\u1eed l\u00fd token t\u1edbi <strong data-start=\"846\" data-end=\"854\">~80%<\/strong><\/p>\n<h3 style=\"text-align: justify;\" data-start=\"936\" data-end=\"969\">\u1ee8ng d\u1ee5ng t\u00e0i ch\u00ednh &amp; m\u00f4 ph\u1ecfng<\/h3>\n<p style=\"text-align: justify;\" data-start=\"971\" data-end=\"1145\">Trong l\u0129nh v\u1ef1c t\u00e0i ch\u00ednh, H100 c\u00f3 th\u1ec3 x\u1eed l\u00fd h\u00e0ng tr\u0103m tri\u1ec7u k\u1ecbch b\u1ea3n m\u00f4 ph\u1ecfng r\u1ee7i ro ch\u1ec9 trong <strong data-start=\"1066\" data-end=\"1078\">v\u00e0i ph\u00fat<\/strong>, nhanh h\u01a1n kho\u1ea3ng <strong data-start=\"1097\" data-end=\"1107\">10 l\u1ea7n<\/strong> so v\u1edbi h\u1ec7 th\u1ed1ng d\u00f9ng GPU c\u0169 nh\u01b0 A100.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1152\" data-end=\"1327\" data-is-last-node=\"\" data-is-only-node=\"\">NVIDIA H100 kh\u00f4ng ch\u1ec9 m\u1ea1nh v\u1ec1 benchmark m\u00e0 \u0111\u00e3 ch\u1ee9ng minh hi\u1ec7u qu\u1ea3 r\u00f5 r\u00e0ng trong th\u1ef1c t\u1ebf: train nhanh h\u01a1n, scale t\u1ed1t h\u01a1n v\u00e0 gi\u1ea3m chi ph\u00ed \u0111\u00e1ng k\u1ec3 cho AI production.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"0\" data-end=\"29\">Chi ph\u00ed \u0111\u1ea7u t\u01b0, gi\u00e1 mua ho\u1eb7c thu\u00ea GPU NVIDIA H100 hi\u1ec7n nay<\/h2>\n<p style=\"text-align: justify;\" data-start=\"31\" data-end=\"180\">Gi\u00e1 c\u1ee7a <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA H100<\/span><\/span> thu\u1ed9c nh\u00f3m cao nh\u1ea5t tr\u00ean th\u1ecb tr\u01b0\u1eddng GPU AI hi\u1ec7n nay v\u00e0 ph\u1ee5 thu\u1ed9c v\u00e0o h\u00ecnh th\u1ee9c s\u1eed d\u1ee5ng (mua ho\u1eb7c thu\u00ea).<\/p>\n<p style=\"text-align: justify;\" data-start=\"182\" data-end=\"483\">\u1ede th\u1eddi \u0111i\u1ec3m 2026, gi\u00e1 mua m\u1ed9t GPU H100 th\u01b0\u1eddng dao \u0111\u1ed9ng kho\u1ea3ng <strong data-start=\"244\" data-end=\"271\">25,000 &#8211; 40,000 USD\/GPU<\/strong> (t\u01b0\u01a1ng \u0111\u01b0\u01a1ng ~600 tri\u1ec7u \u0111\u1ebfn h\u01a1n 1 t\u1ef7 VN\u0110), t\u00f9y phi\u00ean b\u1ea3n nh\u01b0 SXM, PCIe ho\u1eb7c NVL. V\u1edbi c\u00e1c h\u1ec7 th\u1ed1ng l\u1edbn nh\u01b0 DGX H100 (8 GPU), chi ph\u00ed c\u00f3 th\u1ec3 l\u00ean t\u1edbi <strong data-start=\"457\" data-end=\"482\">250,000 &#8211; 400,000 USD<\/strong>.<\/p>\n<p style=\"text-align: justify;\" data-start=\"485\" data-end=\"694\">Trong khi \u0111\u00f3, n\u1ebfu <a href=\"https:\/\/thuegpu.vnso.vn\/\"><strong>thu\u00ea tr\u00ean cloud<\/strong><\/a> (\u0111\u00e1m m\u00e2y), chi ph\u00ed ph\u1ed5 bi\u1ebfn ch\u1ec9 kho\u1ea3ng <strong data-start=\"558\" data-end=\"581\">2 &#8211; 4.5 USD\/gi\u1edd\/GPU<\/strong>, v\u1edbi m\u1ed9t s\u1ed1 n\u1ec1n t\u1ea3ng t\u1ed1i \u01b0u c\u00f3 th\u1ec3 th\u1ea5p h\u01a1n ho\u1eb7c cao h\u01a1n t\u00f9y nh\u00e0 cung c\u1ea5p.<\/p>\n<p style=\"text-align: justify;\" data-start=\"696\" data-end=\"864\">NVIDIA H100 l\u00e0 GPU c\u00f3 chi ph\u00ed \u0111\u1ea7u t\u01b0 r\u1ea5t cao, v\u00ec v\u1eady ph\u1ea7n l\u1edbn doanh nghi\u1ec7p hi\u1ec7n nay \u01b0u ti\u00ean thu\u00ea GPU theo gi\u1edd \u0111\u1ec3 t\u1ed1i \u01b0u chi ph\u00ed thay v\u00ec \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng ban \u0111\u1ea7u.<\/p>\n<p style=\"text-align: justify;\" data-start=\"696\" data-end=\"864\"><strong>&gt;&gt;&gt; Xem ngay: <a href=\"https:\/\/thuegpu.vnso.vn\/\">Thu\u00ea Server GPU, AI, Cloud GPU uy t\u00edn, gi\u00e1 t\u1ed1t t\u1ea1i Vi\u1ec7t Nam<\/a><\/strong><\/p>\n<div id=\"attachment_24289\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/gpu.vnso.vn\/\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-24289\" class=\"size-full wp-image-24289\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Trien-khai-thue-Cloud-GPU-va-Server-GPU-hieu-qua-cung-VNSO.jpg\" alt=\"Tri\u1ec3n khai, thu\u00ea Cloud GPU v\u00e0 Server GPU hi\u1ec7u qu\u1ea3 c\u00f9ng VNSO\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Trien-khai-thue-Cloud-GPU-va-Server-GPU-hieu-qua-cung-VNSO.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Trien-khai-thue-Cloud-GPU-va-Server-GPU-hieu-qua-cung-VNSO-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Trien-khai-thue-Cloud-GPU-va-Server-GPU-hieu-qua-cung-VNSO-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Trien-khai-thue-Cloud-GPU-va-Server-GPU-hieu-qua-cung-VNSO-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Trien-khai-thue-Cloud-GPU-va-Server-GPU-hieu-qua-cung-VNSO-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-24289\" class=\"wp-caption-text\">Tri\u1ec3n khai, thu\u00ea Cloud GPU v\u00e0 Server GPU hi\u1ec7u qu\u1ea3 c\u00f9ng VNSO<\/p><\/div>\n<h2 style=\"text-align: justify;\" data-start=\"4082\" data-end=\"4144\">V\u00ec sao H100 tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n m\u1edbi c\u1ee7a h\u1ea1 t\u1ea7ng AI?<\/h2>\n<p style=\"text-align: justify;\" data-start=\"4146\" data-end=\"4477\">S\u1ef1 th\u00e0nh c\u00f4ng c\u1ee7a NVIDIA H100 kh\u00f4ng ch\u1ec9 \u0111\u1ebfn t\u1eeb hi\u1ec7u n\u0103ng thu\u1ea7n t\u00fay m\u00e0 c\u00f2n t\u1eeb vi\u1ec7c n\u00f3 gi\u1ea3i quy\u1ebft \u0111\u01b0\u1ee3c b\u00e0i to\u00e1n chi ph\u00ed tr\u00ean m\u1ed7i \u0111\u01a1n v\u1ecb t\u00ednh to\u00e1n. D\u00f9 gi\u00e1 m\u1ed7i GPU c\u00f3 th\u1ec3 dao \u0111\u1ed9ng t\u1eeb 25,000 \u0111\u1ebfn 40,000 USD, nh\u01b0ng khi x\u00e9t tr\u00ean hi\u1ec7u n\u0103ng \u0111\u1ea1t \u0111\u01b0\u1ee3c, chi ph\u00ed training m\u1ed9t m\u00f4 h\u00ecnh l\u1edbn l\u1ea1i gi\u1ea3m \u0111\u00e1ng k\u1ec3 so v\u1edbi vi\u1ec7c s\u1eed d\u1ee5ng nhi\u1ec1u GPU th\u1ebf h\u1ec7 c\u0169.<\/p>\n<p style=\"text-align: justify;\" data-start=\"4479\" data-end=\"4666\">Trong m\u00f4i tr\u01b0\u1eddng production, \u0111i\u1ec1u n\u00e0y c\u00e0ng r\u00f5 r\u1ec7t h\u01a1n. M\u1ed9t h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng H100 c\u00f3 th\u1ec3 thay th\u1ebf nhi\u1ec1u node A100, gi\u1ea3m chi ph\u00ed v\u1eadn h\u00e0nh, \u0111i\u1ec7n n\u0103ng v\u00e0 c\u1ea3 \u0111\u1ed9 ph\u1ee9c t\u1ea1p trong qu\u1ea3n l\u00fd h\u1ea1 t\u1ea7ng.<\/p>\n<p style=\"text-align: justify;\" data-start=\"4668\" data-end=\"4909\">Ngo\u00e0i ra, H100 c\u00f2n \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p s\u00e2u v\u1edbi h\u1ec7 sinh th\u00e1i ph\u1ea7n m\u1ec1m c\u1ee7a <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA<\/span><\/span> nh\u01b0 CUDA, TensorRT v\u00e0 c\u00e1c framework AI ph\u1ed5 bi\u1ebfn. \u0110i\u1ec1u n\u00e0y gi\u00fap doanh nghi\u1ec7p tri\u1ec3n khai nhanh h\u01a1n m\u00e0 kh\u00f4ng c\u1ea7n thay \u0111\u1ed5i to\u00e0n b\u1ed9 pipeline.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"4916\" data-end=\"4945\">Nh\u1eefng h\u1ea1n ch\u1ebf c\u1ea7n c\u00e2n nh\u1eafc c\u1ee7a GPU NVIDIA H100<\/h2>\n<p style=\"text-align: justify;\" data-start=\"4947\" data-end=\"5125\">D\u00f9 m\u1ea1nh m\u1ebd, NVIDIA H100 kh\u00f4ng ph\u1ea3i l\u00e0 l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p cho m\u1ecdi doanh nghi\u1ec7p. Chi ph\u00ed \u0111\u1ea7u t\u01b0 ban \u0111\u1ea7u r\u1ea5t cao, ch\u01b0a k\u1ec3 \u0111\u1ebfn y\u00eau c\u1ea7u v\u1ec1 h\u1ea1 t\u1ea7ng nh\u01b0 ngu\u1ed3n \u0111i\u1ec7n, l\u00e0m m\u00e1t v\u00e0 networking.<\/p>\n<p style=\"text-align: justify;\" data-start=\"5127\" data-end=\"5392\">Trong nhi\u1ec1u tr\u01b0\u1eddng h\u1ee3p, n\u1ebfu workload kh\u00f4ng \u0111\u1ee7 l\u1edbn, vi\u1ec7c s\u1eed d\u1ee5ng H100 c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn l\u00e3ng ph\u00ed t\u00e0i nguy\u00ean. \u0110\u00e2y l\u00e0 l\u00fd do v\u00ec sao m\u00f4 h\u00ecnh thu\u00ea GPU ho\u1eb7c s\u1eed d\u1ee5ng cloud H100 \u0111ang tr\u1edf th\u00e0nh xu h\u01b0\u1edbng, gi\u00fap doanh nghi\u1ec7p ti\u1ebfp c\u1eadn c\u00f4ng ngh\u1ec7 m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u1ea7u t\u01b0 to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"0\" data-end=\"38\">Khi n\u00e0o KH\u00d4NG n\u00ean d\u00f9ng NVIDIA H100?<\/h3>\n<p style=\"text-align: justify;\" data-start=\"40\" data-end=\"114\">D\u00f9 NVIDIA H100 r\u1ea5t m\u1ea1nh, nh\u01b0ng kh\u00f4ng ph\u1ea3i l\u00fac n\u00e0o c\u0169ng l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1i \u01b0u. H100 ph\u00f9 h\u1ee3p cho AI quy m\u00f4 l\u1edbn v\u00e0 production, c\u00f2n v\u1edbi nhu c\u1ea7u nh\u1ecf ho\u1eb7c trung b\u00ecnh, n\u00ean ch\u1ecdn gi\u1ea3i ph\u00e1p t\u1ed1i \u01b0u chi ph\u00ed h\u01a1n nh\u01b0 thu\u00ea GPU ho\u1eb7c d\u00f9ng d\u00f2ng th\u1ea5p h\u01a1n. Kh\u00f4ng n\u00ean d\u00f9ng NVIDIA H100 khi:<\/p>\n<p style=\"text-align: justify;\">&#8211; Ch\u1ec9 ch\u1ea1y m\u00f4 h\u00ecnh nh\u1ecf (&lt;10B tham s\u1ed1): hi\u1ec7u n\u0103ng d\u01b0 th\u1eeba, g\u00e2y l\u00e3ng ph\u00ed chi ph\u00ed<\/p>\n<p style=\"text-align: justify;\">&#8211;\u00a0 Workload kh\u00f4ng li\u00ean t\u1ee5c: GPU d\u1ec5 b\u1ecb idle (kh\u00f4ng s\u1eed d\u1ee5ng h\u1ebft c\u00f4ng su\u1ea5t)<\/p>\n<p style=\"text-align: justify;\">&#8211; Ng\u00e2n s\u00e1ch h\u1ea1n ch\u1ebf: chi ph\u00ed \u0111\u1ea7u t\u01b0 v\u00e0 v\u1eadn h\u00e0nh r\u1ea5t cao<\/p>\n<p style=\"text-align: justify;\">&#8211; Ch\u1ec9 c\u1ea7n inference (suy lu\u1eadn) c\u01a1 b\u1ea3n: c\u00e1c GPU th\u1ea5p h\u01a1n nh\u01b0 A100 ho\u1eb7c L4 c\u00f3 th\u1ec3 \u0111\u1ee7 d\u00f9ng<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"5399\" data-end=\"5410\">N\u1ec1n t\u1ea3ng c\u1ed1t l\u00f5i c\u1ee7a m\u1ecdi h\u1ec7 th\u1ed1ng AI ti\u00ean ti\u1ebfn nh\u1ea5t<\/h2>\n<p style=\"text-align: justify;\" data-start=\"5412\" data-end=\"5662\">NVIDIA H100 l\u00e0 m\u1ed9t b\u01b0\u1edbc ti\u1ebfn \u0111\u1ecbnh h\u00ecnh l\u1ea1i to\u00e0n b\u1ed9 h\u1ea1 t\u1ea7ng AI hi\u1ec7n \u0111\u1ea1i. V\u1edbi ki\u1ebfn tr\u00fac Hopper, Transformer Engine v\u00e0 hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i, H100 \u0111\u00e3 tr\u1edf th\u00e0nh n\u1ec1n t\u1ea3ng c\u1ed1t l\u00f5i cho c\u00e1c h\u1ec7 th\u1ed1ng AI ti\u00ean ti\u1ebfn nh\u1ea5t hi\u1ec7n nay.<\/p>\n<p style=\"text-align: justify;\" data-start=\"5664\" data-end=\"5873\" data-is-last-node=\"\" data-is-only-node=\"\">AI ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n v\u1edbi t\u1ed1c \u0111\u1ed9 ch\u00f3ng m\u1eb7t, vi\u1ec7c hi\u1ec3u r\u00f5 H100 gi\u00fap doanh nghi\u1ec7p l\u1ef1a ch\u1ecdn \u0111\u00fang h\u1ea1 t\u1ea7ng v\u00e0 l\u00e0 y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh trong vi\u1ec7c c\u1ea1nh tranh v\u00e0 tri\u1ec3n khai AI \u1edf quy m\u00f4 l\u1edbn.<\/p>\n<p style=\"text-align: justify;\" data-start=\"727\" data-end=\"882\">N\u1ebfu m\u1ee5c ti\u00eau c\u1ee7a b\u1ea1n l\u00e0 tri\u1ec3n khai AI nhanh, t\u1ed1i \u01b0u chi ph\u00ed v\u00e0 d\u1ec5 d\u00e0ng m\u1edf r\u1ed9ng, l\u1ef1a ch\u1ecdn h\u1ea1 t\u1ea7ng GPU ph\u00f9 h\u1ee3p s\u1ebd quy\u1ebft \u0111\u1ecbnh tr\u1ef1c ti\u1ebfp \u0111\u1ebfn hi\u1ec7u qu\u1ea3 v\u1eadn h\u00e0nh.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"884\" data-end=\"927\"><strong>D\u1ecbch v\u1ee5 cho thu\u00ea Cloud GPU v\u00e0 Server GPU VNSO<\/strong><\/h3>\n<p style=\"text-align: justify;\">B\u1ee9t ph\u00e1 hi\u1ec7u su\u1ea5t AI c\u00f9ng gi\u1ea3i ph\u00e1p <a href=\"https:\/\/gpu.vnso.vn\/\"><strong>Cloud GPU<\/strong><\/a> <em><strong>gi\u00e1 r\u1ebb<\/strong><\/em> v\u00e0 <a href=\"https:\/\/thuegpu.vnso.vn\/\"><strong>Server GPU<\/strong><\/a> <em><strong>hi\u1ec7u n\u0103ng cao<\/strong><\/em>.<\/p>\n<p style=\"text-align: justify;\">&#8211; \u0110\u01b0\u1ee3c tin d\u00f9ng b\u1edfi h\u01a1n <em><strong>1.000<\/strong><\/em>\u00a0kh\u00e1ch h\u00e0ng, nh\u00e0 nghi\u00ean c\u1ee9u, chuy\u00ean gia AI v\u00e0 Doanh nghi\u1ec7p.<\/p>\n<p style=\"text-align: justify;\">&#8211; \u0110\u1ed9i ng\u0169 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt, t\u01b0 v\u1ea5n <strong>24\/7<\/strong>, lu\u00f4n s\u1eb5n s\u00e0ng m\u1ecdi l\u00fac m\u1ecdi n\u01a1i.<\/p>\n<p style=\"text-align: justify;\">&#8211; B\u1ea3o m\u1eadt d\u1eef li\u1ec7u <strong>tuy\u1ec7t \u0111\u1ed1i<\/strong>, m\u00e3 h\u00f3a ri\u00eang t\u01b0.<\/p>\n<p style=\"text-align: justify;\">&#8211; Cam k\u1ebft <strong>99.9% Uptime<\/strong>. H\u00e0ng ch\u00ednh h\u00e3ng, lu\u00f4n c\u00f3 s\u1eb5n, tri\u1ec3n khai trong 1 ph\u00fat.<\/p>\n<p style=\"text-align: justify;\">&#8211; H\u1ea1 t\u1ea7ng t\u1ed1i \u01b0u cho <strong>m\u1ecdi t\u00e1c v\u1ee5 AI<\/strong> (Server GPU NVIDIA A100, H100, B100&#8230;).<\/p>\n<p style=\"text-align: justify;\" data-start=\"1204\" data-end=\"1373\"><strong><em>\u0110i\u1ec1n th\u00f4ng tin, nh\u1eadn ngay b\u00e1o gi\u00e1, t\u01b0 v\u1ea5n tri\u1ec3n khai ho\u00e0n to\u00e0n mi\u1ec5n ph\u00ed!<\/em><\/strong><\/p>\n<p style=\"text-align: justify;\" data-start=\"1204\" data-end=\"1373\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f22528-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\/24322#wpcf7-f22528-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\/24322#wpcf7-f22528-o2\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"22528\" \/>\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-f22528-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=\"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 GPU\" \/><span class=\"wpcf7-list-item-label\">Server GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud GPU\" \/><span class=\"wpcf7-list-item-label\">Cloud GPU<\/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=\"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=\"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<h2 style=\"text-align: justify;\" data-start=\"0\" data-end=\"21\">C\u00e1c c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 NVIDIA H100<\/h2>\n<p style=\"text-align: justify;\" data-start=\"23\" data-end=\"237\"><strong data-start=\"23\" data-end=\"79\">NVIDIA H100 c\u00f3 c\u1ea7n nhi\u1ec1u GPU \u0111\u1ec3 ch\u1ea1y hi\u1ec7u qu\u1ea3 kh\u00f4ng?<\/strong><br data-start=\"79\" data-end=\"82\" \/>NVIDIA H100 c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng t\u1ed1t v\u1edbi 1 GPU cho inference, nh\u01b0ng \u0111\u1ec3 training m\u00f4 h\u00ecnh l\u1edbn (LLM), th\u01b0\u1eddng c\u1ea7n t\u1eeb v\u00e0i \u0111\u1ebfn h\u00e0ng ch\u1ee5c GPU \u0111\u1ec3 \u0111\u1ea1t hi\u1ec7u n\u0103ng t\u1ed1i \u01b0u.<\/p>\n<p style=\"text-align: justify;\" data-start=\"244\" data-end=\"424\"><strong data-start=\"244\" data-end=\"280\">H100 c\u00f3 ti\u00eau th\u1ee5 \u0111i\u1ec7n bao nhi\u00eau?<\/strong><br data-start=\"280\" data-end=\"283\" \/>T\u00f9y phi\u00ean b\u1ea3n, H100 c\u00f3 m\u1ee9c ti\u00eau th\u1ee5 t\u1eeb kho\u1ea3ng 350W \u0111\u1ebfn 700W, do \u0111\u00f3 y\u00eau c\u1ea7u h\u1ea1 t\u1ea7ng \u0111i\u1ec7n v\u00e0 l\u00e0m m\u00e1t t\u1ed1t.<\/p>\n<p style=\"text-align: justify;\" data-start=\"431\" data-end=\"599\"><strong data-start=\"431\" data-end=\"480\">H100 c\u00f3 d\u00f9ng \u0111\u01b0\u1ee3c cho doanh nghi\u1ec7p nh\u1ecf kh\u00f4ng?<\/strong><br data-start=\"480\" data-end=\"483\" \/>C\u00f3, nh\u01b0ng th\u01b0\u1eddng kh\u00f4ng t\u1ed1i \u01b0u chi ph\u00ed. Doanh nghi\u1ec7p nh\u1ecf th\u01b0\u1eddng ch\u1ecdn thu\u00ea H100 theo gi\u1edd thay v\u00ec \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng ri\u00eang.<\/p>\n<p style=\"text-align: justify;\" data-start=\"606\" data-end=\"757\"><strong data-start=\"606\" data-end=\"642\">H100 c\u00f3 h\u1ed7 tr\u1ee3 \u1ea3o h\u00f3a GPU kh\u00f4ng?<\/strong><br data-start=\"642\" data-end=\"645\" \/>C\u00f3. H100 h\u1ed7 tr\u1ee3 MIG, cho ph\u00e9p ch\u1ea1y nhi\u1ec1u workload \u0111\u1ed9c l\u1eadp tr\u00ean c\u00f9ng m\u1ed9t GPU.<\/p>\n<p style=\"text-align: justify;\" data-start=\"764\" data-end=\"962\"><strong data-start=\"764\" data-end=\"815\">Th\u1eddi gian tri\u1ec3n khai h\u1ec7 th\u1ed1ng H100 m\u1ea5t bao l\u00e2u?<\/strong><br data-start=\"815\" data-end=\"818\" \/>N\u1ebfu s\u1eed d\u1ee5ng cloud, c\u00f3 th\u1ec3 tri\u1ec3n khai g\u1ea7n nh\u01b0 ngay l\u1eadp t\u1ee9c. V\u1edbi h\u1ec7 th\u1ed1ng v\u1eadt l\u00fd, th\u1eddi gian c\u00f3 th\u1ec3 t\u1eeb v\u00e0i tu\u1ea7n \u0111\u1ebfn v\u00e0i th\u00e1ng t\u00f9y quy m\u00f4.<\/p>\n<p style=\"text-align: justify;\" data-start=\"969\" data-end=\"1138\"><strong data-start=\"969\" data-end=\"1014\">H100 c\u00f3 ph\u00f9 h\u1ee3p \u0111\u1ec3 train model nh\u1ecf kh\u00f4ng?<\/strong><br data-start=\"1014\" data-end=\"1017\" \/>Kh\u00f4ng t\u1ed1i \u01b0u. V\u1edbi model nh\u1ecf, vi\u1ec7c d\u00f9ng H100 c\u00f3 th\u1ec3 g\u00e2y l\u00e3ng ph\u00ed t\u00e0i nguy\u00ean.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1145\" data-end=\"1332\"><strong data-start=\"1145\" data-end=\"1196\">NVIDIA H100 c\u00f3 h\u1ed7 tr\u1ee3 c\u00e1c framework AI ph\u1ed5 bi\u1ebfn kh\u00f4ng?<\/strong><br data-start=\"1196\" data-end=\"1199\" \/>C\u00f3. H100 t\u01b0\u01a1ng th\u00edch \u0111\u1ea7y \u0111\u1ee7 v\u1edbi c\u00e1c framework nh\u01b0 TensorFlow, PyTorch v\u00e0 h\u1ec7 sinh th\u00e1i CUDA c\u1ee7a <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">NVIDIA<\/span><\/span>.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1339\" data-end=\"1544\"><strong data-start=\"1339\" data-end=\"1383\">H100 c\u00f3 th\u1ec3 d\u00f9ng cho real-time AI kh\u00f4ng?<\/strong><br data-start=\"1383\" data-end=\"1386\" \/>C\u00f3. Nh\u1edd hi\u1ec7u n\u0103ng inference cao v\u00e0 \u0111\u1ed9 tr\u1ec5 th\u1ea5p, H100 r\u1ea5t ph\u00f9 h\u1ee3p cho c\u00e1c \u1ee9ng d\u1ee5ng real-time nh\u01b0 chatbot, AI voice ho\u1eb7c h\u1ec7 th\u1ed1ng g\u1ee3i \u00fd.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1551\" data-end=\"1732\"><strong data-start=\"1551\" data-end=\"1593\">H100 c\u00f3 thay th\u1ebf ho\u00e0n to\u00e0n A100 kh\u00f4ng?<\/strong><br data-start=\"1593\" data-end=\"1596\" \/>Kh\u00f4ng ho\u00e0n to\u00e0n. H100 ph\u00f9 h\u1ee3p cho workload l\u1edbn v\u00e0 hi\u1ec7n \u0111\u1ea1i, trong khi A100 v\u1eabn l\u00e0 l\u1ef1a ch\u1ecdn h\u1ee3p l\u00fd cho nhi\u1ec1u h\u1ec7 th\u1ed1ng.<\/p>\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 M\u00e1y ch\u1ee7 GPU, Cloud GPU, Hosting Linux &amp; Windows, M\u00e1y ch\u1ee7 \u1ea3o Cloud VPS, M\u00e1y ch\u1ee7 v\u1eadt l\u00fd, Colocation, H\u1ec7 th\u1ed1ng l\u01b0u tr\u1eef, Cloud Server, Cloud Camera AI, Cloud Storage, Private Cloud, Enterprise Cloud, CDN, Anti-DDoS Website &amp; Game&#8230; Qu\u00fd kh\u00e1ch vui l\u00f2ng li\u00ean h\u1ec7 ch\u00fang t\u00f4i theo th\u00f4ng tin d\u01b0\u1edbi \u0111\u00e2y:<\/p>\n<p style=\"text-align: justify;\"><strong>C\u00d4NG TY C\u1ed4 PH\u1ea6N C\u00d4NG NGH\u1ec6 VNSO &#8211; SINCE 2015<\/strong><\/p>\n<p style=\"text-align: justify;\">\u2013 Website:\u00a0<a href=\"https:\/\/vnso.vn\/en\/\">https:\/\/vnso.vn\/<\/a><br \/>\n\u2013 Fanpage:\u00a0<a href=\"https:\/\/www.facebook.com\/VNSO.VN\/\">Facebook<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/vnso-technology\/\">LinkedIn<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.youtube.com\/@vnsotechnology\">YouTube<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.tiktok.com\/@vnso.congnghe?is_from_webapp=1&amp;sender_device=pc\">TikTok<\/a><br \/>\n\u2013 Hotline: 0927 444 222 | Email:\u00a0<a href=\"mailto:info@vnso.vn\">info@vnso.vn<\/a><br \/>\n\u2013 Tr\u1ee5 s\u1edf: L\u00f4 O s\u1ed1 10, \u0110\u01b0\u1eddng s\u1ed1 15, KDC Mi\u1ebfu N\u1ed5i, Ph\u01b0\u1eddng Gia \u0110\u1ecbnh, TP. H\u1ed3 Ch\u00ed Minh<br \/>\n\u2013 VPGD \u0110\u00e0 N\u1eb5ng: 30 Nguy\u1ec5n H\u1eefu Th\u1ecd, Ph\u01b0\u1eddng H\u1ea3i Ch\u00e2u, \u0110\u00e0 N\u1eb5ng<br \/>\n\u2013 VPGD H\u00e0 N\u1ed9i: 132 V\u0169 Ph\u1ea1m H\u00e0m, Ph\u01b0\u1eddng Y\u00ean H\u00f2a, H\u00e0 N\u1ed9i<\/p>","protected":false},"excerpt":{"rendered":"<p>Trong v\u00e0i n\u0103m tr\u1edf l\u1ea1i \u0111\u00e2y, s\u1ef1 b\u00f9ng n\u1ed5 c\u1ee7a AI, \u0111\u1eb7c bi\u1ec7t l\u00e0 c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) nh\u01b0 GPT, \u0111\u00e3 \u0111\u1ea9y nhu c\u1ea7u v\u1ec1 h\u1ea1 t\u1ea7ng t\u00ednh to\u00e1n l\u00ean m\u1ed9t m\u1ee9c ch\u01b0a t\u1eebng c\u00f3. N\u1ebfu tr\u01b0\u1edbc \u0111\u00e2y GPU ch\u1ee7 y\u1ebfu ph\u1ee5c v\u1ee5 \u0111\u1ed3 h\u1ecda ho\u1eb7c machine learning c\u01a1 b\u1ea3n, th\u00ec hi\u1ec7n [&hellip;]<\/p>","protected":false},"author":6,"featured_media":24363,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[538],"tags":[511,539,676,507],"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>NVIDIA H100 l\u00e0 g\u00ec? Ph\u00e2n t\u00edch GPU Datacenter t\u0103ng t\u1ed1c AI cao c\u1ea5p<\/title>\n<meta name=\"description\" content=\"\u0110\u1ec9nh cao h\u1ea1 t\u1ea7ng AI g\u1ecdi t\u00ean NVIDIA H100. Hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i, c\u00e2n m\u1ecdi m\u00f4 h\u00ecnh LLM l\u1edbn nh\u1ea5t. 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