{"id":23078,"date":"2025-09-05T16:02:05","date_gmt":"2025-09-05T09:02:05","guid":{"rendered":"https:\/\/vnso.vn\/?p=23078"},"modified":"2025-09-15T14:04:40","modified_gmt":"2025-09-15T07:04:40","slug":"nvidia-b300-blackwell-ultra-buoc-nhay-moi-cua-ha-tang-ai","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvidia-b300-blackwell-ultra-buoc-nhay-moi-cua-ha-tang-ai\/","title":{"rendered":"NVIDIA B300 (Blackwell Ultra): B\u01b0\u1edbc nh\u1ea3y m\u1edbi c\u1ee7a h\u1ea1 t\u1ea7ng AI"},"content":{"rendered":"<p style=\"text-align: justify;\">Gi\u1eefa l\u00e0n s\u00f3ng AI \u0111ang t\u0103ng t\u1ed1c sau th\u00e0nh c\u00f4ng c\u1ee7a B200, NVIDIA ti\u1ebfp t\u1ee5c gi\u1edbi thi\u1ec7u <strong data-start=\"167\" data-end=\"200\">NVIDIA B300 (Blackwell Ultra)<\/strong> \u2013 th\u1ebf h\u1ec7 GPU AI m\u1edbi v\u1edbi b\u1ed9 nh\u1edb HBM3e dung l\u01b0\u1ee3ng 288 GB, b\u0103ng th\u00f4ng l\u00ean t\u1edbi 8 TB\/s v\u00e0 hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i h\u01a1n 50%. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc nh\u1ea3y l\u1edbn \u0111\u01b0a AI ti\u1ebfn g\u1ea7n h\u01a1n \u0111\u1ebfn quy m\u00f4 si\u00eau m\u00e1y t\u00ednh, m\u1edf ra kh\u1ea3 n\u0103ng hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef kh\u1ed5ng l\u1ed3 v\u1edbi t\u1ed1c \u0111\u1ed9 t\u1ed1i \u01b0u.<\/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\/23078#wpcf7-f15879-o1\" method=\"post\" 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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;\">1. Ki\u1ebfn th\u1ee9c c\u1ea7n n\u1eafm v\u1ec1 NVIDIA B300<\/h2>\n<p style=\"text-align: justify;\">NVIDIA ch\u00ednh th\u1ee9c gi\u1edbi thi\u1ec7u GPU B300 (Blackwell Ultra) v\u00e0o ng\u00e0y 18 th\u00e1ng 3 n\u0103m 2025, t\u1ea1i s\u1ef1 ki\u1ec7n GTC 2025 di\u1ec5n ra \u1edf San Jose, California. CEO Jensen Huang \u0111\u00e3 c\u00f4ng b\u1ed1 th\u1ebf h\u1ec7 GPU AI m\u1edbi n\u00e0y c\u00f9ng v\u1edbi c\u00e1c n\u1ec1n t\u1ea3ng h\u1ec7 th\u1ed1ng d\u1ef1a tr\u00ean n\u00f3, th\u1ec3 hi\u1ec7n b\u01b0\u1edbc ti\u1ebfn l\u1edbn trong h\u1ea1 t\u1ea7ng AI d\u1eef li\u1ec7u trung t\u00e2m. \u0110\u00e2y l\u00e0 th\u1ebf h\u1ec7 GPU k\u1ebf nhi\u1ec7m B200, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u ng\u00e0y c\u00e0ng kh\u1eaft khe c\u1ee7a nh\u1eefng m\u00f4 h\u00ecnh AI h\u00e0ng tr\u0103m t\u1ef7 tham s\u1ed1.<\/p>\n<p style=\"text-align: justify;\">V\u1edbi b\u1ed9 nh\u1edb HBM3e dung l\u01b0\u1ee3ng l\u1edbn, b\u0103ng th\u00f4ng \u0111\u1ea1t m\u1ee9c k\u1ef7 l\u1ee5c v\u00e0 hi\u1ec7u n\u0103ng x\u1eed l\u00fd cao h\u01a1n h\u1eb3n th\u1ebf h\u1ec7 tr\u01b0\u1edbc, B300 nhanh ch\u00f3ng tr\u1edf th\u00e0nh t\u00e2m \u0111i\u1ec3m ch\u00fa \u00fd c\u1ee7a gi\u1edbi c\u00f4ng ngh\u1ec7. Kh\u00f4ng ch\u1ec9 d\u1eebng l\u1ea1i \u1edf c\u1ea3i ti\u1ebfn ph\u1ea7n c\u1ee9ng, d\u00f2ng GPU n\u00e0y c\u00f2n \u0111\u1ecbnh h\u00ecnh l\u1ea1i c\u00e1ch c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u tri\u1ec3n khai AI, t\u1eeb hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh kh\u1ed5ng l\u1ed3 cho t\u1edbi suy lu\u1eadn t\u1ed1c \u0111\u1ed9 cao.<\/p>\n<div id=\"attachment_23081\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/vnso.vn\/en\/\"><img fetchpriority=\"high\" decoding=\"async\" aria-describedby=\"caption-attachment-23081\" class=\"wp-image-23081 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/nvidia-hgx-b300.jpg\" alt=\"nvidia-hgx-b300\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/nvidia-hgx-b300.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/nvidia-hgx-b300-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/nvidia-hgx-b300-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/nvidia-hgx-b300-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/nvidia-hgx-b300-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-23081\" class=\"wp-caption-text\"><em>H\u00ecnh \u1ea3nh NVIDIA HGX B300<\/em><\/p><\/div>\n<h3 style=\"text-align: justify;\">\u0110i\u1ec3m kh\u00e1c bi\u1ec7t c\u1ee7a NVIDIA B300<\/h3>\n<p style=\"text-align: justify;\">NVIDIA B300 (Blackwell Ultra) \u0111\u00e1nh d\u1ea5u m\u1ed9t b\u01b0\u1edbc chuy\u1ec3n quan tr\u1ecdng so v\u1edbi c\u00e1c th\u1ebf h\u1ec7 tr\u01b0\u1edbc. S\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n c\u1ee7a B300 \u0111\u1ea1t t\u1edbi 15 PFLOPS FP4 (dense), cao h\u01a1n 1.5 l\u1ea7n so v\u1edbi B200 v\u00e0 b\u1ecf xa H100, nh\u1edd 160 SMs v\u00e0 640 Tensor Cores t\u1ed1i \u01b0u cho x\u1eed l\u00fd attention trong c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn.<\/p>\n<p style=\"text-align: justify;\">V\u1ec1 b\u1ed9 nh\u1edb, GPU n\u00e0y \u0111\u01b0\u1ee3c trang b\u1ecb 288 GB HBM3e, t\u0103ng <strong>50%<\/strong> so v\u1edbi B200 v\u00e0 g\u1ea5p ba l\u1ea7n H100, cho ph\u00e9p v\u1eadn h\u00e0nh nh\u1eefng m\u00f4 h\u00ecnh c\u00f3 context d\u00e0i v\u1edbi b\u0103ng th\u00f4ng 8 TB\/s.<\/p>\n<p style=\"text-align: justify;\">V\u1ec1 h\u1ea1 t\u1ea7ng, B300 t\u00edch h\u1ee3p NV-HBI 10 TB\/s gi\u1eefa hai die, NVLink v5 v\u1edbi t\u1ed1c \u0111\u1ed9 1.8 TB\/s v\u00e0 PCIe Gen 6, \u0111\u1ed3ng th\u1eddi ti\u00eau th\u1ee5 kho\u1ea3ng 1.400 W \u0111i\u1ec7n n\u0103ng, \u0111\u1eb7t ra y\u00eau c\u1ea7u m\u1edbi cho trung t\u00e2m d\u1eef li\u1ec7u. N\u1ebfu B200 \u0111\u01b0\u1ee3c xem l\u00e0 n\u1ec1n t\u1ea3ng hu\u1ea5n luy\u1ec7n AI th\u1ebf h\u1ec7 m\u1edbi, th\u00ec B300 l\u1ea1i t\u1eadp trung v\u00e0o inference v\u00e0 reasoning th\u1eddi gian th\u1ef1c, gi\u00fap gi\u1ea3m chi ph\u00ed v\u00e0 t\u0103ng hi\u1ec7u qu\u1ea3 tri\u1ec3n khai AI \u1edf quy m\u00f4 l\u1edbn.<\/p>\n<p><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/nvidia-gb200-vs-h200-su-khac-biet-cua-he-thong-rack-scale\/\">NVIDIA GB200 vs H200 &#8211; S\u1ef1 kh\u00e1c bi\u1ec7t c\u1ee7a h\u1ec7 th\u1ed1ng rack-scale<\/a><\/strong><\/p>\n<h3 style=\"text-align: justify;\">Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt NVIDIA B300<\/h3>\n<table style=\"height: 303px;\" width=\"552\">\n<thead>\n<tr>\n<th>Th\u00e0nh ph\u1ea7n<\/th>\n<th>Th\u00f4ng s\u1ed1 ch\u00ednh<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Ki\u1ebfn tr\u00fac<\/strong><\/td>\n<td>Blackwell Ultra, thi\u1ebft k\u1ebf dual-reticle, 208 t\u1ef7 transistor<\/td>\n<\/tr>\n<tr>\n<td><strong>SM &amp; Tensor Cores<\/strong><\/td>\n<td>160 SMs, 640 Tensor Cores th\u1ebf h\u1ec7 5<\/td>\n<\/tr>\n<tr>\n<td><strong>Hi\u1ec7u n\u0103ng t\u00ednh to\u00e1n<\/strong><\/td>\n<td>FP4: 15 PFLOPS (dense), 30 PFLOPS (sparse) FP8: 7.5 \/ 15 PFLOPS FP16\/BF16: 3.75 \/ 7.5 PFLOPS TF32: 1.88 \/ 3.75 PFLOPS FP64: ~68 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>B\u1ed9 nh\u1edb<\/strong><\/td>\n<td>288 GB HBM3e (8 stacks \u00d7 36 GB), b\u0103ng th\u00f4ng 8 TB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>K\u1ebft n\u1ed1i n\u1ed9i b\u1ed9<\/strong><\/td>\n<td>NV-HBI 10 TB\/s gi\u1eefa 2 die, NVLink v5: 1.8 TB\/s GPU\u2013GPU, NVLink-C2C: 900 GB\/s CPU\u2013GPU<\/td>\n<\/tr>\n<tr>\n<td><strong>PCIe<\/strong><\/td>\n<td>PCIe Gen 6 (256 GB\/s)<\/td>\n<\/tr>\n<tr>\n<td><strong>TDP<\/strong><\/td>\n<td>~1.400 W (\u01b0\u1edbc t\u00ednh, cao h\u01a1n B200 kho\u1ea3ng 200 W)<\/td>\n<\/tr>\n<tr>\n<td><strong>T\u01b0\u01a1ng th\u00edch ph\u1ea7n m\u1ec1m<\/strong><\/td>\n<td>CUDA, cuDNN, TensorRT, h\u1ed7 tr\u1ee3 \u0111\u1ea7y \u0111\u1ee7 c\u00e1c framework AI hi\u1ec7n \u0111\u1ea1i<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: justify;\">2. C\u00e1c \u01b0u \u0111i\u1ec3m n\u1ed5i b\u1eadt nh\u1ea5t c\u1ee7a NVIDIA B300<\/h2>\n<p style=\"text-align: justify;\">B300 \u0111\u01b0\u1ee3c xem l\u00e0 GPU \u0111\u00e1nh d\u1ea5u b\u01b0\u1edbc chuy\u1ec3n t\u1eeb hu\u1ea5n luy\u1ec7n AI sang k\u1ef7 nguy\u00ean reasoning AI. B200 m\u1edf \u0111\u01b0\u1eddng cho AI th\u1ebf h\u1ec7 m\u1edbi, c\u00f2n B300 l\u1ea1i t\u1eadp trung \u0111\u01b0a AI v\u00e0o th\u1ef1c t\u1ebf, v\u1edbi hi\u1ec7u qu\u1ea3 v\u1eadn h\u00e0nh v\u00e0 chi ph\u00ed h\u1ee3p l\u00fd h\u01a1n.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"137\" data-end=\"174\">2.1. S\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n v\u01b0\u1ee3t tr\u1ed9i<\/h3>\n<p style=\"text-align: justify;\" data-start=\"175\" data-end=\"537\">B300 \u0111\u1ea1t hi\u1ec7u n\u0103ng FP4 l\u00ean t\u1edbi 15 PFLOPS (dense) v\u00e0 30 PFLOPS (sparse), cao h\u01a1n kho\u1ea3ng 1.5 l\u1ea7n so v\u1edbi B200 v\u00e0 nhi\u1ec1u l\u1ea7n so v\u1edbi H100. GPU n\u00e0y s\u1edf h\u1eefu 160 Streaming Multiprocessors (SMs) v\u1edbi 640 Tensor Cores th\u1ebf h\u1ec7 5, \u0111\u01b0\u1ee3c tinh ch\u1ec9nh \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 t\u0103ng g\u1ea5p \u0111\u00f4i hi\u1ec7u n\u0103ng x\u1eed l\u00fd attention \u2014 y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i trong hu\u1ea5n luy\u1ec7n v\u00e0 v\u1eadn h\u00e0nh c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLMs).<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"544\" data-end=\"588\">2.2. B\u1ed9 nh\u1edb si\u00eau l\u1edbn, b\u0103ng th\u00f4ng c\u1ef1c cao<\/h3>\n<p style=\"text-align: justify;\" data-start=\"589\" data-end=\"887\">M\u1ed9t trong nh\u1eefng \u0111i\u1ec3m n\u1ed5i b\u1eadt nh\u1ea5t c\u1ee7a B300 l\u00e0 dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb HBM3e l\u00ean t\u1edbi 288 GB, t\u0103ng 50% so v\u1edbi B200 v\u00e0 g\u1ea5p ba l\u1ea7n H100. B\u0103ng th\u00f4ng \u0111\u1ea1t 8 TB\/s, gi\u00fap m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c context d\u00e0i v\u00e0 d\u1eef li\u1ec7u kh\u1ed1i l\u01b0\u1ee3ng l\u1edbn m\u00e0 kh\u00f4ng c\u1ea7n chia nh\u1ecf batch, t\u1eeb \u0111\u00f3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t inference v\u00e0 reasoning.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"894\" data-end=\"930\">2.3. H\u1ec7 th\u1ed1ng k\u1ebft n\u1ed1i th\u1ebf h\u1ec7 m\u1edbi<\/h3>\n<p style=\"text-align: justify;\" data-start=\"931\" data-end=\"1201\">B300 ti\u1ebfp t\u1ee5c s\u1eed d\u1ee5ng NVLink v5 v\u1edbi t\u1ed1c \u0111\u1ed9 1.8 TB\/s \u0111\u1ec3 k\u1ebft n\u1ed1i GPU\u2013GPU v\u00e0 NVLink-C2C 900 GB\/s cho giao ti\u1ebfp CPU\u2013GPU. \u0110\u1eb7c bi\u1ec7t, ki\u1ebfn tr\u00fac dual-reticle v\u1edbi <strong data-start=\"1085\" data-end=\"1103\">NV-HBI 10 TB\/s<\/strong> gi\u1eefa hai die gi\u00fap gi\u1ea3m ngh\u1ebdn c\u1ed5 chai n\u1ed9i b\u1ed9, m\u1edf \u0111\u01b0\u1eddng cho kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng h\u1ea1 t\u1ea7ng si\u00eau quy m\u00f4.<\/p>\n<p data-start=\"931\" data-end=\"1201\"><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/nvidia-b100-gpu-blackwell-multi-die-cho-ai-quy-mo-lon\/\">NVIDIA B100 &#8211; GPU Blackwell multi-die cho AI quy m\u00f4 l\u1edbn<\/a><\/strong><\/p>\n<h3 style=\"text-align: justify;\" data-start=\"1208\" data-end=\"1245\">2.4. \u0110i\u1ec7n n\u0103ng v\u00e0 y\u00eau c\u1ea7u h\u1ea1 t\u1ea7ng<\/h3>\n<p style=\"text-align: justify;\" data-start=\"1246\" data-end=\"1536\">V\u1edbi TDP kho\u1ea3ng 1.400 W, B300 ti\u00eau th\u1ee5 nhi\u1ec1u \u0111i\u1ec7n n\u0103ng h\u01a1n B200 (~1.200 W), \u0111\u1ed3ng ngh\u0129a v\u1edbi vi\u1ec7c trung t\u00e2m d\u1eef li\u1ec7u c\u1ea7n gi\u1ea3i ph\u00e1p l\u00e0m m\u00e1t v\u00e0 ngu\u1ed3n \u0111i\u1ec7n m\u1ea1nh h\u01a1n. \u0110\u00e2y v\u1eeba l\u00e0 th\u00e1ch th\u1ee9c, v\u1eeba l\u00e0 y\u1ebfu t\u1ed1 th\u00fac \u0111\u1ea9y c\u00e1c nh\u00e0 cung c\u1ea5p h\u1ea1 t\u1ea7ng ph\u1ea3i \u0111\u1ed5i m\u1edbi \u0111\u1ec3 theo k\u1ecbp s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n ng\u00e0y c\u00e0ng l\u1edbn.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"1543\" data-end=\"1578\">2.5. \u0110\u1ecbnh h\u01b0\u1edbng \u1ee9ng d\u1ee5ng AI m\u1edbi<\/h3>\n<p style=\"text-align: justify;\" data-start=\"1579\" data-end=\"1929\">Kh\u00e1c v\u1edbi B200 ch\u1ee7 y\u1ebfu t\u1eadp trung v\u00e0o hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh AI, B300 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf t\u1ed1i \u01b0u cho inference v\u00e0 AI reasoning th\u1eddi gian th\u1ef1c. \u0110i\u1ec1u n\u00e0y gi\u00fap gi\u1ea3m chi ph\u00ed tri\u1ec3n khai, r\u00fat ng\u1eafn \u0111\u1ed9 tr\u1ec5 x\u1eed l\u00fd v\u00e0 m\u1edf r\u1ed9ng kh\u1ea3 n\u0103ng \u1ee9ng d\u1ee5ng AI v\u00e0o nhi\u1ec1u l\u0129nh v\u1ef1c \u0111\u00f2i h\u1ecfi ph\u1ea3n h\u1ed3i nhanh nh\u01b0 tr\u1ee3 l\u00fd \u1ea3o, ph\u00e2n t\u00edch d\u1eef li\u1ec7u theo chu\u1ed7i, hay x\u1eed l\u00fd truy v\u1ea5n ng\u00f4n ng\u1eef ph\u1ee9c t\u1ea1p.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"170\" data-end=\"208\">2.6. Transformer Engine th\u1ebf h\u1ec7 m\u1edbi<\/h3>\n<p style=\"text-align: justify;\" data-start=\"209\" data-end=\"446\">B300 t\u00edch h\u1ee3p <strong data-start=\"223\" data-end=\"251\">Transformer Engine Gen 2<\/strong>, \u0111\u01b0\u1ee3c tinh ch\u1ec9nh \u0111\u1ec3 t\u0103ng t\u1ed1c m\u00f4 h\u00ecnh LLM. Kh\u1ea3 n\u0103ng t\u1ef1 \u0111\u1ed9ng chuy\u1ec3n \u0111\u1ed5i \u0111\u1ecbnh d\u1ea1ng s\u1ed1 (FP4, FP8, BF16&#8230;) gi\u00fap c\u00e2n b\u1eb1ng gi\u1eefa hi\u1ec7u su\u1ea5t v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c, t\u1eeb \u0111\u00f3 gi\u1ea3m chi ph\u00ed hu\u1ea5n luy\u1ec7n v\u00e0 inference.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"453\" data-end=\"496\">2.7. T\u1ed1i \u01b0u h\u00f3a cho m\u00f4 h\u00ecnh context d\u00e0i<\/h3>\n<p style=\"text-align: justify;\" data-start=\"497\" data-end=\"743\">B300 kh\u00f4ng ch\u1ec9 m\u1ea1nh v\u1ec1 FLOPS m\u00e0 c\u00f2n \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 <strong data-start=\"550\" data-end=\"592\">t\u1ed1i \u01b0u x\u1eed l\u00fd attention trong chu\u1ed7i d\u00e0i<\/strong>. \u0110\u00e2y l\u00e0 \u0111i\u1ec3m kh\u00e1c bi\u1ec7t quan tr\u1ecdng, v\u00ec c\u00e1c \u1ee9ng d\u1ee5ng nh\u01b0 chatbot, tr\u1ee3 l\u00fd AI hay h\u1ec7 th\u1ed1ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u c\u1ea7n gi\u1eef ng\u1eef c\u1ea3nh d\u00e0i m\u00e0 v\u1eabn ph\u1ea3n h\u1ed3i nhanh.<\/p>\n<h3 style=\"text-align: justify;\" data-start=\"750\" data-end=\"791\">2.8. T\u00edch h\u1ee3p h\u1ea1 t\u1ea7ng m\u1edbi (HGX &amp; DGX)<\/h3>\n<p style=\"text-align: justify;\" data-start=\"792\" data-end=\"1040\">B300 \u0111\u01b0\u1ee3c tri\u1ec3n khai trong c\u00e1c n\u1ec1n t\u1ea3ng <strong data-start=\"832\" data-end=\"844\">HGX B300<\/strong> v\u00e0 <strong data-start=\"848\" data-end=\"860\">DGX B300<\/strong>, cho ph\u00e9p k\u1ebft n\u1ed1i nhi\u1ec1u GPU v\u1edbi nhau th\u00e0nh c\u1ee5m si\u00eau m\u00e1y t\u00ednh AI. Nh\u1edd NVLink v5 v\u00e0 NV-HBI, hi\u1ec7u qu\u1ea3 m\u1edf r\u1ed9ng c\u1ee5m \u0111\u1ea1t quy m\u00f4 h\u00e0ng ch\u1ee5c \u0111\u1ebfn h\u00e0ng ngh\u00ecn GPU m\u00e0 v\u1eabn gi\u1eef b\u0103ng th\u00f4ng cao.<\/p>\n<div id=\"attachment_23079\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/vnso.vn\/en\/\"><img decoding=\"async\" aria-describedby=\"caption-attachment-23079\" class=\"size-full wp-image-23079\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/blackwell-architecture-nvidia-b300.jpg\" alt=\"blackwell-architecture-nvidia-b300\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/blackwell-architecture-nvidia-b300.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/blackwell-architecture-nvidia-b300-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/blackwell-architecture-nvidia-b300-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/blackwell-architecture-nvidia-b300-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/09\/blackwell-architecture-nvidia-b300-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-23079\" class=\"wp-caption-text\"><em>Ki\u1ebfn tr\u00fac Blackwell<\/em><\/p><\/div>\n<h2 style=\"text-align: justify;\" data-start=\"792\" data-end=\"1040\">3. \u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf c\u1ee7a NVIDIA B300<\/h2>\n<p style=\"text-align: justify;\" data-start=\"2\" data-end=\"120\"><strong data-start=\"2\" data-end=\"33\" data-is-only-node=\"\">&#8211; AI Reasoning th\u1eddi gian th\u1ef1c<\/strong>: X\u1eed l\u00fd context d\u00e0i, ph\u1ea3n h\u1ed3i nhanh cho chatbot th\u1ebf h\u1ec7 m\u1edbi v\u00e0 tr\u1ee3 l\u00fd \u1ea3o doanh nghi\u1ec7p.<\/p>\n<p style=\"text-align: justify;\" data-start=\"123\" data-end=\"271\"><strong data-start=\"123\" data-end=\"147\" data-is-only-node=\"\">&#8211; Trung t\u00e2m d\u1eef li\u1ec7u AI<\/strong>: Hyperscaler d\u00f9ng HGX\/DGX B300 \u0111\u1ec3 x\u00e2y si\u00eau c\u1ee5m AI, gi\u1ea3m chi ph\u00ed so v\u1edbi B200, m\u1edf r\u1ed9ng inference cho h\u00e0ng tri\u1ec7u ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<p style=\"text-align: justify;\" data-start=\"274\" data-end=\"426\"><strong data-start=\"274\" data-end=\"307\" data-is-only-node=\"\">&#8211; Ph\u00e2n t\u00edch d\u1eef li\u1ec7u &amp; t\u00e0i ch\u00ednh<\/strong>: H\u1ed7 tr\u1ee3 real-time reasoning cho ph\u00e2n t\u00edch r\u1ee7i ro, d\u1ef1 b\u00e1o th\u1ecb tr\u01b0\u1eddng, ki\u1ec3m so\u00e1t gian l\u1eadn theo ng\u1eef c\u1ea3nh giao d\u1ecbch d\u00e0i.<\/p>\n<p style=\"text-align: justify;\" data-start=\"429\" data-end=\"595\"><strong data-start=\"429\" data-end=\"464\" data-is-only-node=\"\">&#8211; Healthcare &amp; sinh h\u1ecdc t\u00ednh to\u00e1n<\/strong>: V\u1edbi 288 GB HBM3e, x\u1eed l\u00fd protein folding, ph\u00e2n t\u00edch gen, h\u00ecnh \u1ea3nh y t\u1ebf m\u00e0 kh\u00f4ng c\u1ea7n chia nh\u1ecf d\u1eef li\u1ec7u, r\u00fat ng\u1eafn nghi\u00ean c\u1ee9u thu\u1ed1c.<\/p>\n<p style=\"text-align: justify;\" data-start=\"598\" data-end=\"756\"><strong data-start=\"598\" data-end=\"631\" data-is-only-node=\"\">&#8211; Autonomous Systems &amp; Robotics<\/strong>: T\u1ed1i \u01b0u inference cho xe t\u1ef1 h\u00e0nh, robot, drone AI \u2013 x\u1eed l\u00fd d\u1eef li\u1ec7u c\u1ea3m bi\u1ebfn theo th\u1eddi gian th\u1ef1c, ph\u1ea3n h\u1ed3i an to\u00e0n v\u00e0 nhanh.<\/p>\n<p style=\"text-align: justify;\" data-start=\"759\" data-end=\"889\" data-is-last-node=\"\"><strong data-start=\"759\" data-end=\"783\" data-is-only-node=\"\">&#8211; Qu\u1ed1c ph\u00f2ng &amp; an ninh<\/strong>: \u1ee8ng d\u1ee5ng trong ph\u00e2n t\u00edch v\u1ec7 tinh, radar, t\u00ecnh b\u00e1o t\u1ef1 \u0111\u1ed9ng v\u1edbi kh\u1ea3 n\u0103ng x\u1eed l\u00fd t\u1ee9c th\u00ec d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3.<\/p>\n<p data-start=\"759\" data-end=\"889\" data-is-last-node=\"\"><strong>&gt;&gt;&gt; C\u00f3 th\u1ec3 b\u1ea1n quan t\u00e2m \u0111\u1ebfn: <a href=\"https:\/\/vnso.vn\/en\/nvidia-h200-gia-thue-sieu-re-chi-tu-79-000d-gio\/\">NVIDIA H200 gi\u00e1 thu\u00ea si\u00eau r\u1ebb ch\u1ec9 t\u1eeb 79.000\u0111\/gi\u1edd<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\" data-start=\"759\" data-end=\"889\">4. Gi\u00e1 tham kh\u1ea3o v\u00e0 ph\u00e2n t\u00edch th\u1ecb tr\u01b0\u1eddng c\u1ee7a NVIDIA B300 hi\u1ec7n nay t\u1ea1i Vi\u1ec7t Nam<\/h2>\n<p style=\"text-align: justify;\">Hi\u1ec7n t\u1ea1i, NVIDIA B300 (Blackwell Ultra) ch\u01b0a \u0111\u01b0\u1ee3c b\u00e1n l\u1ebb tr\u1ef1c ti\u1ebfp cho ng\u01b0\u1eddi d\u00f9ng c\u00e1 nh\u00e2n, m\u00e0 ch\u1ee7 y\u1ebfu \u0111\u01b0\u1ee3c cung c\u1ea5p th\u00f4ng qua c\u00e1c gi\u1ea3i ph\u00e1p m\u00e1y ch\u1ee7 chuy\u00ean d\u1ee5ng nh\u01b0 DGX B300 v\u00e0 GB300 NVL72. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 th\u00f4ng tin v\u1ec1 gi\u00e1 c\u1ea3 v\u00e0 tri\u1ec3n khai c\u1ee7a c\u00e1c h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng B300.<\/p>\n<p style=\"text-align: justify;\">C\u00e1c h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng B300 hi\u1ec7n \u0111ang \u0111\u01b0\u1ee3c cung c\u1ea5p th\u00f4ng qua c\u00e1c \u0111\u1ed1i t\u00e1c nh\u01b0 <strong data-start=\"1141\" data-end=\"1149\">Dell<\/strong>, <strong data-start=\"1151\" data-end=\"1158\">HPE<\/strong>, v\u00e0 <strong data-start=\"1163\" data-end=\"1171\">Asus<\/strong>, c\u0169ng nh\u01b0 c\u00e1c nh\u00e0 cung c\u1ea5p d\u1ecbch v\u1ee5 \u0111\u00e1m m\u00e2y nh\u01b0 <strong data-start=\"1219\" data-end=\"1226\">AWS<\/strong>, <strong data-start=\"1228\" data-end=\"1237\">Azure<\/strong>, v\u00e0 <strong data-start=\"1242\" data-end=\"1258\">Google Cloud<\/strong>. Vi\u1ec7c mua tr\u1ef1c ti\u1ebfp GPU B300 cho m\u1ee5c \u0111\u00edch c\u00e1 nh\u00e2n ho\u1eb7c tri\u1ec3n khai nh\u1ecf l\u1ebb hi\u1ec7n ch\u01b0a kh\u1ea3 thi.<\/p>\n<p style=\"text-align: justify;\">NVIDIA B300 d\u1ef1 ki\u1ebfn s\u1ebd \u0111\u01b0\u1ee3c ra m\u1eaft ch\u00ednh th\u1ee9c v\u00e0o cu\u1ed1i n\u0103m 2025. Hi\u1ec7n t\u1ea1i, c\u00e1c h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng B300 \u0111ang trong qu\u00e1 tr\u00ecnh tri\u1ec3n khai th\u1eed nghi\u1ec7m v\u00e0 d\u1ef1 ki\u1ebfn s\u1ebd c\u00f3 s\u1eb5n tr\u00ean th\u1ecb tr\u01b0\u1eddng v\u00e0o cu\u1ed1i n\u0103m nay.<\/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-dgx-gb300-co-may-ai-manh-nhat\/\">NVIDIA DGX GB300: C\u1ed7 m\u00e1y AI m\u1ea1nh nh\u1ea5t<\/a><\/strong><\/p>\n<h3 style=\"text-align: justify;\" data-start=\"284\" data-end=\"304\">Gi\u00e1 mua NVIDIA B300 hi\u1ec7n nay<\/h3>\n<p style=\"text-align: justify;\" data-start=\"308\" data-end=\"550\"><strong data-start=\"308\" data-end=\"327\">&#8211; NVIDIA B300 GPU<\/strong>: Gi\u00e1 b\u00e1n l\u1ebb ch\u01b0a \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 ch\u00ednh th\u1ee9c. Tuy nhi\u00ean, theo th\u00f4ng tin t\u1eeb c\u00e1c ngu\u1ed3n tin c\u1eady, gi\u00e1 c\u1ee7a c\u00e1c h\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng B300 c\u00f3 th\u1ec3 dao \u0111\u1ed9ng trong kho\u1ea3ng t\u1eeb <strong data-start=\"484\" data-end=\"511\">$30,000 \u0111\u1ebfn $40,000 USD<\/strong><\/p>\n<p style=\"text-align: justify;\" data-start=\"554\" data-end=\"772\"><strong data-start=\"554\" data-end=\"575\">&#8211; H\u1ec7 th\u1ed1ng DGX B300<\/strong>: \u0110\u00e2y l\u00e0 gi\u1ea3i ph\u00e1p <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-b300\/\">m\u00e1y ch\u1ee7 t\u00edch h\u1ee3p s\u1eb5n B300<\/a>, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c doanh nghi\u1ec7p v\u00e0 trung t\u00e2m d\u1eef li\u1ec7u. Gi\u00e1 c\u1ee5 th\u1ec3 c\u1ee7a h\u1ec7 th\u1ed1ng n\u00e0y ch\u01b0a \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 c\u00f4ng khai.<\/p>\n<p style=\"text-align: justify;\" data-start=\"776\" data-end=\"1035\"><strong data-start=\"776\" data-end=\"800\">&#8211; H\u1ec7 th\u1ed1ng GB300 NVL72<\/strong>: \u0110\u00e2y l\u00e0 h\u1ec7 th\u1ed1ng rack-scale s\u1eed d\u1ee5ng 72 GPU B300, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c \u1ee9ng d\u1ee5ng AI quy m\u00f4 l\u1edbn. Theo th\u00f4ng tin t\u1eeb c\u00e1c ngu\u1ed3n tin c\u1eady, gi\u00e1 c\u1ee7a h\u1ec7 th\u1ed1ng n\u00e0y c\u00f3 th\u1ec3 l\u00ean t\u1edbi <strong data-start=\"969\" data-end=\"994\">$3.7 \u0111\u1ebfn $4 tri\u1ec7u USD<\/strong>.<\/p>\n<p data-start=\"776\" data-end=\"1035\"><a href=\"https:\/\/vnso.vn\/en\/\"><img decoding=\"async\" class=\"aligncenter wp-image-22913 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Sieu-may-chu-NVIDIA-GB200-NVL72-tai-Viet-Nam.jpg\" alt=\"Si\u00eau m\u00e1y ch\u1ee7 NVIDIA GB200 NVL72 t\u1ea1i Vi\u1ec7t Nam\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Sieu-may-chu-NVIDIA-GB200-NVL72-tai-Viet-Nam.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Sieu-may-chu-NVIDIA-GB200-NVL72-tai-Viet-Nam-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Sieu-may-chu-NVIDIA-GB200-NVL72-tai-Viet-Nam-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Sieu-may-chu-NVIDIA-GB200-NVL72-tai-Viet-Nam-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Sieu-may-chu-NVIDIA-GB200-NVL72-tai-Viet-Nam-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<h3 style=\"text-align: justify;\">Nh\u00e0 cung c\u1ea5p NVIDIA B300, Server AI v\u00e0 GPU uy t\u00edn t\u1ea1i Vi\u1ec7t Nam<\/h3>\n<p style=\"text-align: justify;\">T\u1ea1i VNSO, to\u00e0n b\u1ed9 GPU v\u00e0 m\u00e1y ch\u1ee7 \u0111\u1ec1u \u0111i k\u00e8m CO\/CQ ch\u00ednh h\u00e3ng, \u0111\u1ea3m b\u1ea3o ch\u1ea5t l\u01b0\u1ee3ng v\u00e0 ngu\u1ed3n g\u1ed1c minh b\u1ea1ch. H\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 tri\u1ec3n khai nhanh ch\u00f3ng ch\u1ec9 trong v\u00e0i ph\u00fat, v\u1eadn h\u00e0nh \u1ed5n \u0111\u1ecbnh v\u00e0 b\u1ea3o m\u1eadt cao, ph\u00f9 h\u1ee3p v\u1edbi m\u1ecdi d\u1ef1 \u00e1n AI, t\u1eeb hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh l\u1edbn \u0111\u1ebfn tri\u1ec3n khai LLM.<\/p>\n<p style=\"text-align: justify;\">\u0110\u1eb7c bi\u1ec7t, \u0111\u1ed9i ng\u0169 k\u1ef9 thu\u1eadt VNSO tr\u1ef1c 24\/7, lu\u00f4n s\u1eb5n s\u00e0ng h\u1ed7 tr\u1ee3 v\u00e0 t\u1ed1i \u01b0u h\u1ea1 t\u1ea7ng AI theo nhu c\u1ea7u th\u1ef1c t\u1ebf c\u1ee7a doanh nghi\u1ec7p, gi\u00fap tri\u1ec3n khai d\u1ef1 \u00e1n hi\u1ec7u qu\u1ea3 v\u00e0 an to\u00e0n. C\u00e1c g\u00f3i Server AI &#8211; GPU NVIDIA VNSO \u0111ang cung c\u1ea5p hi\u1ec7n nay: <em>NVIDIA A10, NVIDIA A30, NVIDIA A40, NVIDIA A100, NVIDIA H100, NVIDIA H200, NVIDIA B100, NVIDIA B200, NVIDIA B300, NVIDIA GB200, NVIDIA GB300 v\u00e0 nhi\u1ec1u s\u1ea3n ph\u1ea9m kh\u00e1c t\u1ea1i th\u1ecb tr\u01b0\u1eddng Vi\u1ec7t Nam&#8230;<\/em><\/p>\n<p><strong>&gt;&gt;&gt; Xem th\u00eam: <a href=\"https:\/\/vnso.vn\/en\/rtx-4090-gpu-co-phu-hop-cho-server-gpu-phan-tich-chi-tiet\/\">RTX 4090 GPU c\u00f3 ph\u00f9 h\u1ee3p cho Server GPU? Ph\u00e2n t\u00edch chi ti\u1ebft<\/a><\/strong><\/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\/23078#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\/23078#wpcf7-f15879-o2\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"15879\" \/>\n<input type=\"hidden\" 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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>Gi\u1eefa l\u00e0n s\u00f3ng AI \u0111ang t\u0103ng t\u1ed1c sau th\u00e0nh c\u00f4ng c\u1ee7a B200, NVIDIA ti\u1ebfp t\u1ee5c gi\u1edbi thi\u1ec7u NVIDIA B300 (Blackwell Ultra) \u2013 th\u1ebf h\u1ec7 GPU AI m\u1edbi v\u1edbi b\u1ed9 nh\u1edb HBM3e dung l\u01b0\u1ee3ng 288 GB, b\u0103ng th\u00f4ng l\u00ean t\u1edbi 8 TB\/s v\u00e0 hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i h\u01a1n 50%. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc nh\u1ea3y l\u1edbn \u0111\u01b0a AI [&hellip;]<\/p>","protected":false},"author":6,"featured_media":23080,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[533,544,538],"tags":[511,578],"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 B300 (Blackwell Ultra): B\u01b0\u1edbc nh\u1ea3y m\u1edbi c\u1ee7a h\u1ea1 t\u1ea7ng AI<\/title>\n<meta name=\"description\" content=\"\u0110\u00f3n \u0111\u1ea7u th\u1eddi \u0111\u1ea1i AI reasoning v\u1edbi NVIDIA B300 \u2013 GPU hi\u1ec7u n\u0103ng cao nh\u1ea5t hi\u1ec7n nay cho h\u1ecdc m\u00e1y, inference v\u00e0 m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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