{"id":22173,"date":"2025-07-29T10:06:17","date_gmt":"2025-07-29T03:06:17","guid":{"rendered":"https:\/\/thegioimaychu.vn\/blog\/?p=22173"},"modified":"2025-07-30T08:38:59","modified_gmt":"2025-07-30T01:38:59","slug":"nvidia-h100-vs-h200-so-sanh-su-khac-biet-giua-hai-the-he-gpu-dau-bang","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nvidia-h100-vs-h200-so-sanh-su-khac-biet-giua-hai-the-he-gpu-dau-bang-p22173\/","title":{"rendered":"NVIDIA H100 vs H200: Cu\u1ed9c chi\u1ebfn hi\u1ec7u n\u0103ng tr\u00ean n\u1ec1n t\u1ea3ng Hopper v\u00e0 b\u01b0\u1edbc \u0111\u1ec7m t\u1edbi k\u1ef7 nguy\u00ean Blackwell"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>NVIDIA H100 v\u00e0 H200 \u0111\u1ec1u l\u00e0 nh\u1eefng &#8220;qu\u00e1i v\u1eadt&#8221; GPU \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c t\u00e1c v\u1ee5 \u0111i\u1ec7n to\u00e1n hi\u1ec7u n\u0103ng cao (HPC) v\u00e0 <a class=\"iblink\" href=\"\/blog\/tag\/ai\/\">tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/a> (AI), \u0111\u1eb7c bi\u1ec7t l\u00e0 c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng AI t\u1ea1o sinh. Ra m\u1eaft trong kho\u1ea3ng th\u1eddi gian t\u01b0\u01a1ng \u0111\u1ed1i g\u1ea7n nhau, H200 \u0111\u01b0\u1ee3c xem l\u00e0 m\u1ed9t b\u1ea3n n\u00e2ng c\u1ea5p &#8220;gi\u1eefa chu k\u1ef3&#8221; c\u1ee7a ki\u1ebfn tr\u00fac Hopper \u0111\u00ecnh \u0111\u00e1m, tr\u01b0\u1edbc khi th\u1ebf h\u1ec7 Blackwell ho\u00e0n to\u00e0n m\u1edbi n\u1eafm gi\u1eef v\u1ecb tr\u00ed d\u1eabn \u0111\u1ea7u.<\/p>\n<p>B\u00e0i vi\u1ebft n\u00e0y s\u1ebd \u0111i s\u00e2u v\u00e0o so s\u00e1nh s\u1ef1 kh\u00e1c bi\u1ec7t c\u1ed1t l\u00f5i gi\u1eefa H100 v\u00e0 H200, l\u00fd do NVIDIA ra m\u1eaft H200, v\u00e0 \u0111\u1ecbnh v\u1ecb c\u1ee7a ch\u00fang trong b\u1ed1i c\u1ea3nh ph\u00e1t tri\u1ec3n ch\u00f3ng m\u1eb7t c\u1ee7a AI v\u00e0 HPC, \u0111\u1eb7c bi\u1ec7t khi th\u1ebf h\u1ec7 Blackwell \u0111\u00e3 xu\u1ea5t hi\u1ec7n.<\/p>\n<h3>NVIDIA H100: Ng\u01b0\u1eddi khai m\u1edf k\u1ef7 nguy\u00ean Hopper<\/h3>\n<p>\u0110\u01b0\u1ee3c ra m\u1eaft v\u00e0o th\u00e1ng 3 n\u0103m 2022, NVIDIA H100 Tensor Core GPU l\u00e0 GPU \u0111\u1ea7u ti\u00ean d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Hopper. Ngay l\u1eadp t\u1ee9c, H100 \u0111\u00e3 t\u1ea1o ra m\u1ed9t cu\u1ed9c c\u00e1ch m\u1ea1ng trong l\u0129nh v\u1ef1c AI v\u00e0 HPC v\u1edbi nh\u1eefng c\u1ea3i ti\u1ebfn v\u01b0\u1ee3t b\u1eadc so v\u1edbi th\u1ebf h\u1ec7 ti\u1ec1n nhi\u1ec7m Ampere (A100).<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5612AQFBX6C-v3P-eQ\/article-inline_image-shrink_1500_2232\/article-inline_image-shrink_1500_2232\/0\/1723527792315?e=1759363200&amp;v=beta&amp;t=kyq0qwVVypamislWFl7qtxV7s9r4QYjjG1aV3yxcG54\" \/><\/p>\n<p><b>Nh\u1eefng \u0111i\u1ec3m n\u1ed5i b\u1eadt c\u1ee7a H100:<\/b><\/p>\n<ul>\n<li><b>Ki\u1ebfn tr\u00fac Hopper:<\/b>\u00a0V\u1edbi Streaming Multiprocessors (SMs) \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf l\u1ea1i, n\u00e2ng cao hi\u1ec7u su\u1ea5t x\u1eed l\u00fd Tensor Cores.<\/li>\n<li><b>Tensor Cores th\u1ebf h\u1ec7 th\u1ee9 4:<\/b>\u00a0T\u0103ng t\u1ed1c \u0111\u1ed9 t\u00ednh to\u00e1n ma tr\u1eadn, h\u1ed7 tr\u1ee3 nhi\u1ec1u \u0111\u1ecbnh d\u1ea1ng d\u1eef li\u1ec7u h\u01a1n.<\/li>\n<li><b>Transformer Engine:<\/b>\u00a0M\u1ed9t t\u00ednh n\u0103ng \u0111\u1ed9t ph\u00e1 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 t\u0103ng t\u1ed1c hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn c\u00e1c m\u00f4 h\u00ecnh Transformer, tr\u1ee5 c\u1ed9t c\u1ee7a c\u00e1c LLM hi\u1ec7n \u0111\u1ea1i.<\/li>\n<li><b>NVLink th\u1ebf h\u1ec7 th\u1ee9 4:<\/b>\u00a0Cung c\u1ea5p b\u0103ng th\u00f4ng k\u1ebft n\u1ed1i GPU c\u1ef1c cao (900 GB\/s), cho ph\u00e9p m\u1edf r\u1ed9ng h\u1ec7 th\u1ed1ng AI l\u00ean quy m\u00f4 h\u00e0ng ng\u00e0n GPU.<\/li>\n<li><b>HBM3\/HBM2e Memory:<\/b>\u00a0T\u00f9y ch\u1ecdn 80GB b\u1ed9 nh\u1edb HBM3 ho\u1eb7c HBM2e v\u1edbi b\u0103ng th\u00f4ng l\u00ean t\u1edbi 3.35 TB\/s.<\/li>\n<\/ul>\n<p>H100 nhanh ch\u00f3ng tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u cho c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u, vi\u1ec7n nghi\u00ean c\u1ee9u v\u00e0 doanh nghi\u1ec7p ph\u00e1t tri\u1ec3n AI nh\u1edd kh\u1ea3 n\u0103ng x\u1eed l\u00fd m\u1ea1nh m\u1ebd c\u00e1c kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c kh\u1ed5ng l\u1ed3, t\u1eeb hu\u1ea5n luy\u1ec7n LLM \u0111\u1ebfn m\u00f4 ph\u1ecfng khoa h\u1ecdc ph\u1ee9c t\u1ea1p.<\/p>\n<h3>NVIDIA H200: N\u00e2ng c\u1ea5p b\u1ed9 nh\u1edb, \u0111\u1ea9y m\u1ea1nh hi\u1ec7u n\u0103ng LLM<\/h3>\n<p><a class=\"iblink\" href=\"\/blog\/tag\/h200\/\">NVIDIA H200<\/a> Tensor Core GPU \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 v\u00e0o th\u00e1ng 11 n\u0103m 2023 t\u1ea1i h\u1ed9i ngh\u1ecb Supercomputing (SC23) v\u00e0 b\u1eaft \u0111\u1ea7u xu\u1ea5t x\u01b0\u1edfng r\u1ed9ng r\u00e3i t\u1eeb qu\u00fd 2 n\u0103m 2024. H200 kh\u00f4ng ph\u1ea3i l\u00e0 m\u1ed9t ki\u1ebfn tr\u00fac ho\u00e0n to\u00e0n m\u1edbi m\u00e0 l\u00e0 m\u1ed9t b\u1ea3n n\u00e2ng c\u1ea5p tr\u1ef1c ti\u1ebfp c\u1ee7a H100, v\u1edbi tr\u1ecdng t\u00e2m ch\u00ednh l\u00e0 c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 v\u1ec1 b\u1ed9 nh\u1edb.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/media.licdn.com\/dms\/image\/v2\/D5612AQEB5Gp2rmmgAw\/article-inline_image-shrink_1500_2232\/article-inline_image-shrink_1500_2232\/0\/1723527336486?e=1759363200&amp;v=beta&amp;t=EbCyNPIn3dAaL8CE8xZ5keeevPJ4TN9CJI_2xWatDCM\" \/><\/p>\n<p><b>\u0110i\u1ec3m kh\u00e1c bi\u1ec7t c\u1ed1t l\u00f5i: B\u1ed9 nh\u1edb HBM3e<\/b><\/p>\n<p>\u0110\u00e2y ch\u00ednh l\u00e0 &#8220;\u00e1t ch\u1ee7 b\u00e0i&#8221; c\u1ee7a H200. Trong khi H100 s\u1eed d\u1ee5ng HBM3 (ho\u1eb7c HBM2e), H200 \u0111\u01b0\u1ee3c trang b\u1ecb b\u1ed9 nh\u1edb\u00a0<b>HBM3e (High Bandwidth Memory 3 Extended)<\/b>\u00a0ti\u00ean ti\u1ebfn h\u01a1n.<\/p>\n<table class=\"table sheet\">\n<thead>\n<tr>\n<td><\/td>\n<td>\n<h4>NVIDIA H100 (SXM)<\/h4>\n<\/td>\n<td>\n<h4>NVIDIA H200 (SXM)<\/h4>\n<\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><b>Ki\u1ebfn tr\u00fac<\/b><\/td>\n<td>Hopper<\/td>\n<td>Hopper<\/td>\n<\/tr>\n<tr>\n<td><b>B\u1ed9 nh\u1edb (VRAM)<\/b><\/td>\n<td>80GB HBM3 ho\u1eb7c HBM2e<\/td>\n<td><b>141GB HBM3e<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb<\/b><\/td>\n<td>3.35 TB\/s (HBM3)<\/td>\n<td><b>4.8 TB\/s<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>S\u1ed1 l\u01b0\u1ee3ng chip HBM<\/b><\/td>\n<td>8<\/td>\n<td>6<\/td>\n<\/tr>\n<tr>\n<td><b>T\u1ed1c \u0111\u1ed9 xung nh\u1ecbp HBM<\/b><\/td>\n<td>5.2 Gbps<\/td>\n<td>6.4 Gbps<\/td>\n<\/tr>\n<tr>\n<td><b>NVLink Bandwidth<\/b><\/td>\n<td>900 GB\/s<\/td>\n<td>900 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><b>TDP<\/b><\/td>\n<td>700W<\/td>\n<td>1000W (c\u00f3 phi\u00ean b\u1ea3n 700W cho PCIe)<\/td>\n<\/tr>\n<tr>\n<td><b>C\u00f4ng ngh\u1ec7 AI ch\u00ednh<\/b><\/td>\n<td>Tensor Cores th\u1ebf h\u1ec7 4, Transformer Engine<\/td>\n<td>Tensor Cores th\u1ebf h\u1ec7 4, Transformer Engine<\/td>\n<\/tr>\n<tr>\n<td><b>T\u0103ng t\u1ed1c LLM (so v\u1edbi H100)<\/b><\/td>\n<td>N\/A<\/td>\n<td><b>~1.6 l\u1ea7n<\/b>\u00a0(cho c\u00e1c m\u00f4 h\u00ecnh l\u1edbn nh\u01b0 Llama 2 70B)<\/td>\n<\/tr>\n<tr>\n<td><b>Vai tr\u00f2<\/b><\/td>\n<td>Flagship AI\/HPC GPU (2022-2023)<\/td>\n<td>N\u00e2ng c\u1ea5p t\u1eadp trung v\u00e0o b\u1ed9 nh\u1edb, b\u01b0\u1edbc \u0111\u1ec7m<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>T\u1ea1i sao H200 l\u1ea1i quan tr\u1ecdng v\u1edbi ch\u1ec9 n\u00e2ng c\u1ea5p b\u1ed9 nh\u1edb?<\/b><\/p>\n<p>Trong th\u1ebf gi\u1edbi AI hi\u1ec7n \u0111\u1ea1i, \u0111\u1eb7c bi\u1ec7t l\u00e0 v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM) v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng AI t\u1ea1o sinh,\u00a0<b>dung l\u01b0\u1ee3ng v\u00e0 b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb (VRAM)<\/b>\u00a0l\u00e0 y\u1ebfu t\u1ed1 c\u1ef1c k\u1ef3 quan tr\u1ecdng, \u0111\u00f4i khi c\u00f2n h\u01a1n c\u1ea3 s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n thu\u1ea7n t\u00fay.<\/p>\n<ul>\n<li><b>&#8220;\u0110\u00f3i&#8221; b\u1ed9 nh\u1edb:<\/b>\u00a0C\u00e1c LLM kh\u1ed5ng l\u1ed3 v\u1edbi h\u00e0ng t\u1ef7 tham s\u1ed1 c\u1ea7n m\u1ed9t l\u01b0\u1ee3ng l\u1edbn VRAM \u0111\u1ec3 t\u1ea3i to\u00e0n b\u1ed9 m\u00f4 h\u00ecnh v\u00e0o GPU, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong giai \u0111o\u1ea1n suy lu\u1eadn (inference) \u0111\u1ec3 gi\u1ea3m \u0111\u1ed9 tr\u1ec5.<\/li>\n<li><b>Th\u1eaft n\u00fat c\u1ed5 chai b\u0103ng th\u00f4ng:<\/b>\u00a0Qu\u00e1 tr\u00ecnh \u0111\u1ecdc\/ghi d\u1eef li\u1ec7u t\u1eeb b\u1ed9 nh\u1edb l\u00e0 m\u1ed9t \u0111i\u1ec3m th\u1eaft n\u00fat c\u1ed5 chai ph\u1ed5 bi\u1ebfn. B\u0103ng th\u00f4ng HBM3e cao h\u01a1n 44% so v\u1edbi HBM3 tr\u00ean H100 gi\u00fap cung c\u1ea5p d\u1eef li\u1ec7u cho c\u00e1c nh\u00e2n x\u1eed l\u00fd nhanh h\u01a1n, t\u1eeb \u0111\u00f3 t\u0103ng c\u01b0\u1eddng hi\u1ec7u su\u1ea5t t\u1ed5ng th\u1ec3.<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tgmc-blog-688839c01a74b.jpg\" alt=\"h100-vs-h200-image-6\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2025\/07\/tgmc-blog-688837aca5044.jpg\" alt=\"\" \/><\/p>\n<p>Nh\u1edd nh\u1eefng c\u1ea3i ti\u1ebfn n\u00e0y, H200 mang l\u1ea1i hi\u1ec7u su\u1ea5t suy lu\u1eadn LLM\u00a0<b>nhanh h\u01a1n kho\u1ea3ng 1.6 l\u1ea7n<\/b>\u00a0so v\u1edbi H100 \u0111\u1ed1i v\u1edbi c\u00e1c m\u00f4 h\u00ecnh l\u1edbn nh\u01b0 Llama 2 70B. \u0110i\u1ec1u n\u00e0y tr\u1ef1c ti\u1ebfp gi\u1ea3m chi ph\u00ed v\u1eadn h\u00e0nh v\u00e0 t\u0103ng t\u1ed1c \u0111\u1ed9 ph\u1ea3n h\u1ed3i cho c\u00e1c \u1ee9ng d\u1ee5ng AI d\u1ef1a tr\u00ean LLM.<\/p>\n<h3>\u0110\u1ecbnh v\u1ecb H200 trong b\u1ed1i c\u1ea3nh th\u1ecb tr\u01b0\u1eddng v\u00e0 s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a Blackwell<\/h3>\n<p>H200 kh\u00f4ng ph\u1ea3i l\u00e0 s\u1ef1 thay th\u1ebf ho\u00e0n to\u00e0n cho H100 m\u00e0 l\u00e0 m\u1ed9t b\u1ea3n n\u00e2ng c\u1ea5p c\u00f3 m\u1ee5c \u0111\u00edch, gi\u00fap NVIDIA duy tr\u00ec l\u1ee3i th\u1ebf c\u1ea1nh tranh trong b\u1ed1i c\u1ea3nh nhu c\u1ea7u AI b\u00f9ng n\u1ed5, \u0111\u1ed3ng th\u1eddi chu\u1ea9n b\u1ecb cho s\u1ef1 ra m\u1eaft c\u1ee7a th\u1ebf h\u1ec7 ti\u1ebfp theo.<\/p>\n<ul>\n<li><b>B\u01b0\u1edbc \u0111\u1ec7m:<\/b>\u00a0H200 \u0111\u01b0\u1ee3c xem l\u00e0 m\u1ed9t &#8220;b\u01b0\u1edbc \u0111\u1ec7m&#8221; chi\u1ebfn l\u01b0\u1ee3c, gi\u00fap gi\u1ea3i quy\u1ebft nhu c\u1ea7u c\u1ea5p b\u00e1ch v\u1ec1 b\u1ed9 nh\u1edb cho LLM trong khi NVIDIA ho\u00e0n thi\u1ec7n ki\u1ebfn tr\u00fac Blackwell ho\u00e0n to\u00e0n m\u1edbi.<\/li>\n<li><b>T\u1ed1i \u01b0u h\u00f3a chi ph\u00ed\/hi\u1ec7u n\u0103ng:<\/b>\u00a0\u0110\u1ed1i v\u1edbi m\u1ed9t s\u1ed1 workload c\u1ee5 th\u1ec3, n\u01a1i b\u1ed9 nh\u1edb l\u00e0 y\u1ebfu t\u1ed1 gi\u1edbi h\u1ea1n ch\u00ednh, H200 mang l\u1ea1i s\u1ef1 t\u0103ng c\u01b0\u1eddng hi\u1ec7u n\u0103ng \u0111\u00e1ng k\u1ec3 m\u00e0 kh\u00f4ng c\u1ea7n t\u00e1i thi\u1ebft k\u1ebf to\u00e0n b\u1ed9 ki\u1ebfn tr\u00fac nh\u01b0 Blackwell.<\/li>\n<li><b>Gi\u00e1 c\u1ea3 &amp; Kh\u1ea3 n\u0103ng s\u1eb5n c\u00f3:<\/b>\n<ul>\n<li><b>Gi\u00e1:<\/b>\u00a0NVIDIA kh\u00f4ng c\u00f4ng b\u1ed1 gi\u00e1 b\u00e1n l\u1ebb tr\u1ef1c ti\u1ebfp cho c\u00e1c GPU c\u1ea5p \u0111\u1ed9 trung t\u00e2m d\u1eef li\u1ec7u. Gi\u00e1 c\u1ee7a H200 \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh qua c\u00e1c \u0111\u1ed1i t\u00e1c OEM v\u00e0 nh\u00e0 cung c\u1ea5p d\u1ecbch v\u1ee5 \u0111\u00e1m m\u00e2y (CSP). Tuy nhi\u00ean, c\u00f3 th\u1ec3 \u01b0\u1edbc t\u00ednh r\u1eb1ng\u00a0<b>gi\u00e1 c\u1ee7a H200 cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi H100<\/b>, ph\u1ea3n \u00e1nh chi ph\u00ed c\u1ee7a b\u1ed9 nh\u1edb HBM3e \u0111\u1eaft \u0111\u1ecf v\u00e0 hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i.<\/li>\n<li><b>Kh\u1ea3 n\u0103ng s\u1eb5n c\u00f3:<\/b>\u00a0Sau khi \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 v\u00e0o cu\u1ed1i n\u0103m 2023, H200 \u0111\u00e3 b\u1eaft \u0111\u1ea7u \u0111\u01b0\u1ee3c xu\u1ea5t x\u01b0\u1edfng cho c\u00e1c kh\u00e1ch h\u00e0ng l\u1edbn v\u00e0 nh\u00e0 cung c\u1ea5p d\u1ecbch v\u1ee5 \u0111\u00e1m m\u00e2y t\u1eeb\u00a0<b>Qu\u00fd 2 n\u0103m 2024<\/b>, v\u00e0 hi\u1ec7n t\u1ea1i (gi\u1eefa n\u0103m 2025) \u0111\u00e3 c\u00f3 s\u1eb5n r\u1ed9ng r\u00e3i tr\u00ean c\u00e1c n\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y l\u1edbn v\u00e0 th\u00f4ng qua c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t h\u1ec7 th\u1ed1ng.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>H\u01b0\u1edbng t\u1edbi k\u1ef7 nguy\u00ean Blackwell: T\u01b0\u01a1ng lai c\u1ee7a AI Compute<\/h3>\n<p>Ngay c\u1ea3 khi H200 \u0111ang d\u1ea7n ph\u1ed5 bi\u1ebfn, NVIDIA \u0111\u00e3 c\u00f4ng b\u1ed1 ki\u1ebfn tr\u00fac\u00a0<b>Blackwell<\/b>\u00a0v\u00e0o th\u00e1ng 3 n\u0103m 2024, \u0111\u00e1nh d\u1ea5u th\u1ebf h\u1ec7 GPU ti\u1ebfp theo v\u00e0 l\u00e0 m\u1ed9t b\u01b0\u1edbc nh\u1ea3y v\u1ecdt l\u1edbn h\u01a1n nhi\u1ec1u so v\u1edbi Hopper.<\/p>\n<p>C\u00e1c s\u1ea3n ph\u1ea9m Blackwell \u0111\u1ea7u ti\u00ean nh\u01b0\u00a0<b>GPU B200<\/b>\u00a0v\u00e0 \u0111\u1eb7c bi\u1ec7t l\u00e0\u00a0<b>GB200 Superchip<\/b>\u00a0(k\u1ebft h\u1ee3p hai GPU B200 v\u00e0 m\u1ed9t CPU Grace) h\u1ee9a h\u1eb9n hi\u1ec7u n\u0103ng v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng ch\u01b0a t\u1eebng c\u00f3, v\u1edbi nh\u1eefng c\u1ea3i ti\u1ebfn v\u1ec1:<\/p>\n<ul>\n<li><b>AI Superchip:<\/b>\u00a0T\u00edch h\u1ee3p s\u00e2u h\u01a1n GPU v\u00e0 CPU.<\/li>\n<li><b>NVLink th\u1ebf h\u1ec7 m\u1edbi:<\/b>\u00a0T\u0103ng c\u01b0\u1eddng b\u0103ng th\u00f4ng li\u00ean k\u1ebft GPU l\u00ean m\u1ee9c phi th\u01b0\u1eddng.<\/li>\n<li><b>Tensor Cores th\u1ebf h\u1ec7 5:<\/b>\u00a0V\u1edbi kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n FP4, mang l\u1ea1i hi\u1ec7u qu\u1ea3 n\u0103ng l\u01b0\u1ee3ng v\u00e0 hi\u1ec7u su\u1ea5t cao h\u01a1n n\u1eefa cho AI.<\/li>\n<li><b>Engine gi\u1ea3i n\u00e9n d\u1eef li\u1ec7u:<\/b>\u00a0Gi\u00fap t\u0103ng t\u1ed1c t\u1ea3i d\u1eef li\u1ec7u cho c\u00e1c m\u00f4 h\u00ecnh l\u1edbn.<\/li>\n<\/ul>\n<p><b>V\u1eady n\u00ean ch\u1ecdn H100, H200 hay ch\u1edd Blackwell?<\/b><\/p>\n<ul>\n<li><b>H100:<\/b>\u00a0V\u1eabn l\u00e0 m\u1ed9t GPU c\u1ef1c k\u1ef3 m\u1ea1nh m\u1ebd v\u00e0 ti\u1ebft ki\u1ec7m chi ph\u00ed h\u01a1n n\u1ebfu workload c\u1ee7a b\u1ea1n kh\u00f4ng qu\u00e1 &#8220;\u0111\u00f3i&#8221; b\u1ed9 nh\u1edb ho\u1eb7c b\u1ea1n \u0111ang t\u00ecm ki\u1ebfm c\u00e1c gi\u1ea3i ph\u00e1p \u0111\u00e3 c\u00f3 s\u1eb5n v\u00e0 \u1ed5n \u0111\u1ecbnh tr\u00ean th\u1ecb tr\u01b0\u1eddng.<\/li>\n<li><b>H200:<\/b>\u00a0L\u00e0 l\u1ef1a ch\u1ecdn l\u00fd t\u01b0\u1edfng n\u1ebfu b\u1ea1n \u0111ang ph\u00e1t tri\u1ec3n ho\u1eb7c v\u1eadn h\u00e0nh c\u00e1c LLM l\u1edbn, c\u00e1c m\u00f4 h\u00ecnh AI t\u1ea1o sinh ph\u1ee9c t\u1ea1p, ho\u1eb7c c\u00e1c t\u00e1c v\u1ee5 HPC y\u00eau c\u1ea7u b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb c\u1ef1c cao v\u00e0 dung l\u01b0\u1ee3ng VRAM l\u1edbn \u0111\u1ec3 gi\u1ea3m thi\u1ec3u vi\u1ec7c ph\u1ea3i &#8220;swap&#8221; d\u1eef li\u1ec7u hay ch\u1ea1y tr\u00ean nhi\u1ec1u GPU. H200 mang l\u1ea1i hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i cho c\u00e1c workload n\u00e0y so v\u1edbi H100.<\/li>\n<li><b>Blackwell (B200\/GB200):<\/b>\u00a0L\u00e0 t\u01b0\u01a1ng lai c\u1ee7a AI. N\u1ebfu b\u1ea1n \u0111ang l\u00ean k\u1ebf ho\u1ea1ch cho c\u00e1c d\u1ef1 \u00e1n d\u00e0i h\u1ea1n, y\u00eau c\u1ea7u hi\u1ec7u n\u0103ng c\u1ef1c \u0111\u1ec9nh v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng t\u1ed1i \u0111a cho c\u00e1c m\u00f4 h\u00ecnh AI th\u1ebf h\u1ec7 m\u1edbi nh\u1ea5t, ho\u1eb7c x\u00e2y d\u1ef1ng h\u1ea1 t\u1ea7ng AI quy m\u00f4 l\u1edbn, vi\u1ec7c \u0111\u1ea7u t\u01b0 v\u00e0o Blackwell s\u1ebd mang l\u1ea1i l\u1ee3i \u00edch l\u00e2u d\u00e0i. Tuy nhi\u00ean, chi ph\u00ed ban \u0111\u1ea7u s\u1ebd cao h\u01a1n v\u00e0 th\u1eddi gian tri\u1ec3n khai c\u00f3 th\u1ec3 k\u00e9o d\u00e0i h\u01a1n so v\u1edbi c\u00e1c gi\u1ea3i ph\u00e1p Hopper \u0111\u00e3 tr\u01b0\u1edfng th\u00e0nh.<\/li>\n<\/ul>\n<h3>K\u1ebft lu\u1eadn<\/h3>\n<p>H100 \u0111\u00e3 m\u1edf \u0111\u01b0\u1eddng, H200 n\u00e2ng cao gi\u1edbi h\u1ea1n v\u1ec1 b\u1ed9 nh\u1edb v\u00e0 hi\u1ec7u su\u1ea5t cho c\u00e1c \u1ee9ng d\u1ee5ng LLM quan tr\u1ecdng, \u0111\u1ed3ng th\u1eddi \u0111\u00f3ng vai tr\u00f2 l\u00e0 c\u1ea7u n\u1ed1i quan tr\u1ecdng. V\u1edbi s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a Blackwell, NVIDIA ti\u1ebfp t\u1ee5c kh\u1eb3ng \u0111\u1ecbnh v\u1ecb th\u1ebf d\u1eabn \u0111\u1ea7u trong cu\u1ed9c \u0111ua AI, mang \u0111\u1ebfn nh\u1eefng gi\u1ea3i ph\u00e1p GPU ng\u00e0y c\u00e0ng m\u1ea1nh m\u1ebd v\u00e0 chuy\u00ean bi\u1ec7t, \u0111\u00e1p \u1ee9ng nhu c\u1ea7u \u0111i\u1ec7n to\u00e1n \u0111ang b\u00f9ng n\u1ed5 tr\u00ean to\u00e0n c\u1ea7u. Vi\u1ec7c l\u1ef1a ch\u1ecdn GPU ph\u00f9 h\u1ee3p s\u1ebd ph\u1ee5 thu\u1ed9c v\u00e0o nhu c\u1ea7u c\u1ee5 th\u1ec3 c\u1ee7a t\u1eebng d\u1ef1 \u00e1n, ng\u00e2n s\u00e1ch v\u00e0 chi\u1ebfn l\u01b0\u1ee3c ph\u00e1t tri\u1ec3n d\u00e0i h\u1ea1n c\u1ee7a t\u1ed5 ch\u1ee9c.<\/p>\n<div>____<br \/><b>B\u00e0i vi\u1ebft li\u00ean quan<\/b><\/div>\n<ul>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23415\">B\u01b0\u1edbc v\u00e0o k\u1ef7 nguy\u00ean tr\u1ee3 l\u00fd AI c\u00e1 nh\u00e2n &#8211; so s\u00e1nh chi ti\u1ebft NVIDIA RTX Spark v\u00e0 DGX Spark<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23322\">NVIDIA RTX PRO 4500 Blackwell Server Edition: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt t\u1eeb th\u1ebf h\u1ec7 L4 cho h\u1ea1 t\u1ea7ng AI suy lu\u1eadn hi\u1ec7u n\u0103ng cao<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23119\">NVIDIA NGC\u2011ready Low\u2011latency Edge AI: Gi\u1ea3i ph\u00e1p cho Retail, Manufacturing v\u00e0 Smart Cities<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=23110\">So s\u00e1nh s\u1ee9c m\u1ea1nh c\u1ee7a m\u00e1y t\u00ednh AI DGX Spark v\u1edbi c\u00e1c card GPU m\u00e1y tr\u1ea1m chuy\u00ean nghi\u1ec7p c\u1ee7a NVIDIA<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22969\">T\u1eeb Orin \u0111\u1ebfn Thor: B\u01b0\u1edbc nh\u1ea3y v\u1ecdt ki\u1ebfn tr\u00fac c\u1ee7a NVIDIA JetPack 7.0 v\u00e0 t\u01b0\u01a1ng lai c\u1ee7a robot h\u00ecnh ng\u01b0\u1eddi<\/a><\/li>\n<li><a href=\"https:\/\/thegioimaychu.vn\/blog\/?post_type=post&#038;p=22887\">T\u1ea1i sao g\u1ecdi NVIDIA DGX Spark l\u00e0 Si\u00eau m\u00e1y t\u00ednh AI c\u00e1 nh\u00e2n?<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA H100 v&agrave; H200 &#273;&#7873;u l&agrave; nh&#7919;ng &ldquo;qu&aacute;i v&#7853;t&rdquo; GPU &#273;&#432;&#7907;c thi&#7871;t k&#7871; cho c&aacute;c t&aacute;c v&#7909; &#273;i&#7879;n to&aacute;n hi&#7879;u n&#259;ng cao (HPC) v&agrave; tr&iacute; tu&#7879; nh&acirc;n t&#7841;o (AI), &#273;&#7863;c bi&#7879;t l&agrave; c&aacute;c m&ocirc; h&igrave;nh ng&ocirc;n ng&#7919; l&#7899;n (LLM) v&agrave; c&aacute;c &#7913;ng d&#7909;ng AI t&#7841;o sinh. Ra m&#7855;t trong kho&#7843;ng th&#7901;i gian t&#432;&#417;ng &#273;&#7889;i g&#7847;n&#8230;<\/p>\n","protected":false},"author":2,"featured_media":22178,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[1205,1314],"class_list":["post-22173","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","tag-h200","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA H100 vs H200: Cu\u1ed9c chi\u1ebfn hi\u1ec7u n\u0103ng tr\u00ean n\u1ec1n t\u1ea3ng Hopper v\u00e0 b\u01b0\u1edbc \u0111\u1ec7m t\u1edbi k\u1ef7 nguy\u00ean Blackwell - Blog | TheGioiMayChu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/nvidia-h100-vs-h200-so-sanh-su-khac-biet-giua-hai-the-he-gpu-dau-bang-p22173\/\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"NVIDIA H100 vs H200: Cu\u1ed9c chi\u1ebfn hi\u1ec7u n\u0103ng tr\u00ean n\u1ec1n t\u1ea3ng Hopper v\u00e0 b\u01b0\u1edbc \u0111\u1ec7m t\u1edbi k\u1ef7 nguy\u00ean Blackwell - Blog | TheGioiMayChu\" \/>\n<meta name=\"twitter:description\" content=\"NVIDIA H100 v&agrave; H200 &#273;&#7873;u l&agrave; nh&#7919;ng &ldquo;qu&aacute;i v&#7853;t&rdquo; GPU &#273;&#432;&#7907;c thi&#7871;t k&#7871; cho c&aacute;c t&aacute;c v&#7909; &#273;i&#7879;n to&aacute;n hi&#7879;u n&#259;ng cao (HPC) v&agrave; tr&iacute; tu&#7879; nh&acirc;n t&#7841;o (AI), &#273;&#7863;c bi&#7879;t l&agrave; c&aacute;c m&ocirc; h&igrave;nh ng&ocirc;n ng&#7919; l&#7899;n (LLM) v&agrave; c&aacute;c &#7913;ng d&#7909;ng AI t&#7841;o sinh. 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