N\u1ebfu nh\u00ecn l\u1ea1i qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n GPU, c\u00f3 th\u1ec3 th\u1ea5y m\u1ed7i th\u1ebf h\u1ec7 \u0111\u1ec1u c\u1ea3i thi\u1ec7n hi\u1ec7u n\u0103ng, nh\u01b0ng Hopper l\u00e0 l\u1ea7n hi\u1ebfm hoi ki\u1ebfn tr\u00fac \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf l\u1ea1i g\u1ea7n nh\u01b0 to\u00e0n di\u1ec7n \u0111\u1ec3 ph\u1ee5c v\u1ee5 m\u1ed9t m\u1ee5c ti\u00eau c\u1ee5 th\u1ec3: t\u0103ng t\u1ed1c AI \u1edf quy m\u00f4 c\u1ef1c l\u1edbn.<\/p>\n S\u1ef1 kh\u00e1c bi\u1ec7t n\u1eb1m \u1edf vi\u1ec7c Hopper kh\u00f4ng ch\u1ec9 n\u00e2ng c\u1ea5p ph\u1ea7n c\u1ee9ng m\u00e0 c\u00f2n t\u00edch h\u1ee3p c\u00e1c c\u01a1 ch\u1ebf x\u1eed l\u00fd th\u00f4ng minh ngay trong ki\u1ebfn tr\u00fac. \u0110i\u1ec1u n\u00e0y gi\u00fap GPU kh\u00f4ng ch\u1ec9 \u201ct\u00ednh nhanh h\u01a1n\u201d m\u00e0 c\u00f2n \u201ct\u00ednh \u0111\u00fang c\u00e1ch h\u01a1n\u201d cho c\u00e1c b\u00e0i to\u00e1n AI.<\/p>\n Trong th\u1ef1c t\u1ebf, nhi\u1ec1u benchmark cho th\u1ea5y GPU H100 d\u1ef1a tr\u00ean Hopper c\u00f3 th\u1ec3 t\u0103ng t\u1ed1c suy lu\u1eadn AI l\u00ean \u0111\u1ebfn kho\u1ea3ng 30 l\u1ea7n v\u00e0 r\u00fat ng\u1eafn th\u1eddi gian hu\u1ea5n luy\u1ec7n xu\u1ed1ng \u0111\u00e1ng k\u1ec3 so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc. \u0110\u00e2y l\u00e0 y\u1ebfu t\u1ed1 then ch\u1ed1t gi\u00fap c\u00e1c doanh nghi\u1ec7p tri\u1ec3n khai AI nhanh h\u01a1n v\u00e0 ti\u1ebft ki\u1ec7m chi ph\u00ed h\u01a1n.<\/p>\n >>> Xem th\u00eam Thu\u00ea Server GPU NVIDIA A100 PCIe 40GB ch\u1ec9 v\u1edbi 30K \u0111\/gi\u1edd<\/a><\/strong><\/p>\n M\u1ed9t trong nh\u1eefng \u0111\u1ed5i m\u1edbi quan tr\u1ecdng nh\u1ea5t c\u1ee7a Hopper l\u00e0 Transformer Engine, th\u00e0nh ph\u1ea7n \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho c\u00e1c m\u00f4 h\u00ecnh AI hi\u1ec7n \u0111\u1ea1i.<\/p>\n Transformer Engine c\u00f3 kh\u1ea3 n\u0103ng t\u1ef1 \u0111\u1ed9ng chuy\u1ec3n \u0111\u1ed5i gi\u1eefa c\u00e1c \u0111\u1ecbnh d\u1ea1ng s\u1ed1 nh\u01b0 FP16 v\u00e0 FP8 trong qu\u00e1 tr\u00ecnh x\u1eed l\u00fd. \u0110i\u1ec1u n\u00e0y mang l\u1ea1i hai l\u1ee3i \u00edch l\u1edbn. Th\u1ee9 nh\u1ea5t l\u00e0 gi\u1ea3m \u0111\u00e1ng k\u1ec3 l\u01b0\u1ee3ng b\u1ed9 nh\u1edb c\u1ea7n s\u1eed d\u1ee5ng, t\u1eeb \u0111\u00f3 cho ph\u00e9p ch\u1ea1y c\u00e1c m\u00f4 h\u00ecnh l\u1edbn h\u01a1n tr\u00ean c\u00f9ng m\u1ed9t ph\u1ea7n c\u1ee9ng. Th\u1ee9 hai l\u00e0 t\u0103ng t\u1ed1c \u0111\u1ed9 t\u00ednh to\u00e1n m\u00e0 kh\u00f4ng l\u00e0m gi\u1ea3m \u0111\u00e1ng k\u1ec3 \u0111\u1ed9 ch\u00ednh x\u00e1c.<\/p>\n Trong c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn, n\u01a1i s\u1ed1 l\u01b0\u1ee3ng tham s\u1ed1 c\u00f3 th\u1ec3 v\u01b0\u1ee3t 100 t\u1ef7, vi\u1ec7c t\u1ed1i \u01b0u precision \u0111\u00f3ng vai tr\u00f2 c\u1ef1c k\u1ef3 quan tr\u1ecdng. Nh\u1edd Transformer Engine, Hopper c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c m\u00f4 h\u00ecnh n\u00e0y hi\u1ec7u qu\u1ea3 h\u01a1n nhi\u1ec1u so v\u1edbi c\u00e1c ki\u1ebfn tr\u00fac tr\u01b0\u1edbc.<\/p>\n Hopper s\u1eed d\u1ee5ng Tensor Core th\u1ebf h\u1ec7 th\u1ee9 4, h\u1ed7 tr\u1ee3 \u0111\u1ecbnh d\u1ea1ng FP8 l\u1ea7n \u0111\u1ea7u ti\u00ean trong GPU data center. \u0110\u00e2y l\u00e0 m\u1ed9t thay \u0111\u1ed5i c\u00f3 \u00fd ngh\u0129a l\u1edbn v\u00ec FP8 gi\u00fap gi\u1ea3m m\u1ed9t n\u1eeda dung l\u01b0\u1ee3ng d\u1eef li\u1ec7u so v\u1edbi FP16, \u0111\u1ed3ng th\u1eddi t\u0103ng th\u00f4ng l\u01b0\u1ee3ng x\u1eed l\u00fd.<\/p>\n Trong c\u00e1c b\u00e0i to\u00e1n AI th\u1ef1c t\u1ebf, Tensor Core m\u1edbi gi\u00fap t\u0103ng throughput l\u00ean g\u1ea5p nhi\u1ec1u l\u1ea7n, \u0111\u1eb7c bi\u1ec7t khi k\u1ebft h\u1ee3p v\u1edbi c\u00e1c k\u1ef9 thu\u1eadt sparse computation. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p doanh nghi\u1ec7p x\u1eed l\u00fd nhi\u1ec1u t\u00e1c v\u1ee5 h\u01a1n tr\u00ean c\u00f9ng m\u1ed9t GPU, ho\u1eb7c gi\u1ea3m s\u1ed1 l\u01b0\u1ee3ng GPU c\u1ea7n thi\u1ebft cho c\u00f9ng m\u1ed9t workload.<\/p>\n M\u1ed9t trong nh\u1eefng r\u00e0o c\u1ea3n l\u1edbn nh\u1ea5t c\u1ee7a AI quy m\u00f4 l\u1edbn kh\u00f4ng n\u1eb1m \u1edf m\u1ed9t GPU \u0111\u01a1n l\u1ebb m\u00e0 \u1edf kh\u1ea3 n\u0103ng k\u1ebft n\u1ed1i nhi\u1ec1u GPU v\u1edbi nhau. Hopper gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 n\u00e0y b\u1eb1ng NVLink th\u1ebf h\u1ec7 4, cung c\u1ea5p b\u0103ng th\u00f4ng l\u00ean \u0111\u1ebfn kho\u1ea3ng 900 GB\/s m\u1ed7i GPU.<\/p>\n So v\u1edbi PCIe Gen5, NVLink nhanh h\u01a1n nhi\u1ec1u l\u1ea7n, gi\u00fap gi\u1ea3m \u0111\u1ed9 tr\u1ec5 khi truy\u1ec1n d\u1eef li\u1ec7u gi\u1eefa c\u00e1c GPU. Nh\u1edd \u0111\u00f3, h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng l\u00ean h\u00e0ng tr\u0103m GPU m\u00e0 v\u1eabn duy tr\u00ec hi\u1ec7u su\u1ea5t cao.<\/p>\n Trong th\u1ef1c t\u1ebf, Hopper cho ph\u00e9p x\u00e2y d\u1ef1ng c\u00e1c c\u1ee5m l\u00ean \u0111\u1ebfn 256 GPU, \u0111\u1ee7 \u0111\u1ec3 hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh AI quy m\u00f4 trillion tham s\u1ed1. \u0110\u00e2y l\u00e0 n\u1ec1n t\u1ea3ng cho c\u00e1c h\u1ec7 th\u1ed1ng AI l\u1edbn nh\u1ea5t hi\u1ec7n nay.<\/p>\n Hopper \u0111\u01b0\u1ee3c trang b\u1ecb b\u1ed9 nh\u1edb HBM3 v\u1edbi b\u0103ng th\u00f4ng c\u1ef1c cao, \u0111\u1ea1t m\u1ee9c h\u00e0ng terabyte m\u1ed7i gi\u00e2y. \u0110i\u1ec1u n\u00e0y \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng trong AI v\u00ec t\u1ed1c \u0111\u1ed9 truy c\u1eadp d\u1eef li\u1ec7u th\u01b0\u1eddng l\u00e0 y\u1ebfu t\u1ed1 gi\u1edbi h\u1ea1n hi\u1ec7u n\u0103ng.<\/p>\n V\u1edbi HBM3, GPU c\u00f3 th\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn li\u00ean t\u1ee5c m\u00e0 kh\u00f4ng b\u1ecb ngh\u1ebdn, gi\u00fap c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u qu\u1ea3 trong c\u00e1c b\u00e0i to\u00e1n nh\u01b0 training LLM ho\u1eb7c x\u1eed l\u00fd dataset l\u1edbn.<\/p>\n M\u1ed9t \u0111i\u1ec3m m\u1edbi \u0111\u00e1ng ch\u00fa \u00fd kh\u00e1c c\u1ee7a Hopper l\u00e0 h\u1ed7 tr\u1ee3 Confidential Computing. \u0110\u00e2y l\u00e0 c\u00f4ng ngh\u1ec7 cho ph\u00e9p b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u ngay c\u1ea3 khi \u0111ang \u0111\u01b0\u1ee3c x\u1eed l\u00fd trong GPU.<\/p>\n Trong c\u00e1c ng\u00e0nh nh\u01b0 t\u00e0i ch\u00ednh, y t\u1ebf ho\u1eb7c doanh nghi\u1ec7p l\u1edbn, d\u1eef li\u1ec7u th\u01b0\u1eddng c\u00f3 y\u00eau c\u1ea7u b\u1ea3o m\u1eadt cao. Hopper gi\u00fap \u0111\u1ea3m b\u1ea3o r\u1eb1ng d\u1eef li\u1ec7u kh\u00f4ng b\u1ecb l\u1ed9 ngay c\u1ea3 trong qu\u00e1 tr\u00ecnh t\u00ednh to\u00e1n, m\u1edf ra kh\u1ea3 n\u0103ng tri\u1ec3n khai AI trong nh\u1eefng m\u00f4i tr\u01b0\u1eddng nh\u1ea1y c\u1ea3m.<\/p>\n N\u1ebfu so v\u1edbi Ampere, Hopper kh\u00f4ng \u0111\u01a1n thu\u1ea7n l\u00e0 phi\u00ean b\u1ea3n m\u1ea1nh h\u01a1n m\u00e0 l\u00e0 m\u1ed9t b\u01b0\u1edbc chuy\u1ec3n \u0111\u1ed5i v\u1ec1 ki\u1ebfn tr\u00fac.<\/p>\n Ampere v\u1eabn t\u1eadp trung v\u00e0o t\u00ednh to\u00e1n \u0111a m\u1ee5c \u0111\u00edch, trong khi Hopper t\u1ed1i \u01b0u h\u00f3a g\u1ea7n nh\u01b0 to\u00e0n di\u1ec7n cho AI. Vi\u1ec7c b\u1ed5 sung FP8, Transformer Engine v\u00e0 NVLink th\u1ebf h\u1ec7 m\u1edbi khi\u1ebfn Hopper v\u01b0\u1ee3t tr\u1ed9i r\u00f5 r\u1ec7t trong c\u00e1c workload AI hi\u1ec7n \u0111\u1ea1i.<\/p>\n Trong nhi\u1ec1u tr\u01b0\u1eddng h\u1ee3p th\u1ef1c t\u1ebf, doanh nghi\u1ec7p c\u00f3 th\u1ec3 gi\u1ea3m \u0111\u00e1ng k\u1ec3 th\u1eddi gian training ho\u1eb7c s\u1ed1 l\u01b0\u1ee3ng GPU c\u1ea7n thi\u1ebft khi chuy\u1ec3n t\u1eeb A100 sang H100. \u0110i\u1ec1u n\u00e0y tr\u1ef1c ti\u1ebfp \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn chi ph\u00ed v\u1eadn h\u00e0nh v\u00e0 t\u1ed1c \u0111\u1ed9 tri\u1ec3n khai s\u1ea3n ph\u1ea9m.<\/p>\n >>> Xem th\u00eam Ki\u1ebfn tr\u00fac Blackwell l\u00e0 g\u00ec? B\u01b0\u1edbc ti\u1ebfn m\u1edbi c\u1ee7a GPU AI<\/a><\/strong><\/p>\n Hi\u1ec7n nay, Hopper l\u00e0 n\u1ec1n t\u1ea3ng c\u1ed1t l\u00f5i cho nhi\u1ec1u h\u1ec7 th\u1ed1ng AI l\u1edbn tr\u00ean th\u1ebf gi\u1edbi. C\u00e1c \u1ee9ng d\u1ee5ng ph\u1ed5 bi\u1ebfn bao g\u1ed3m m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn, h\u1ec7 th\u1ed1ng g\u1ee3i \u00fd, x\u1eed l\u00fd h\u00ecnh \u1ea3nh v\u00e0 video, c\u0169ng nh\u01b0 c\u00e1c b\u00e0i to\u00e1n HPC nh\u01b0 m\u00f4 ph\u1ecfng khoa h\u1ecdc v\u00e0 d\u1ef1 b\u00e1o th\u1eddi ti\u1ebft.<\/p>\n Trong m\u00f4i tr\u01b0\u1eddng doanh nghi\u1ec7p, Hopper \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho ph\u00e2n t\u00edch d\u1eef li\u1ec7u th\u1eddi gian th\u1ef1c, ph\u00e1t hi\u1ec7n gian l\u1eadn, t\u1ed1i \u01b0u v\u1eadn h\u00e0nh v\u00e0 t\u1ef1 \u0111\u1ed9ng h\u00f3a quy tr\u00ecnh. V\u1edbi kh\u1ea3 n\u0103ng x\u1eed l\u00fd m\u1ea1nh m\u1ebd, GPU d\u1ef1a tr\u00ean Hopper gi\u00fap r\u00fat ng\u1eafn th\u1eddi gian t\u1eeb d\u1eef li\u1ec7u \u0111\u1ebfn quy\u1ebft \u0111\u1ecbnh.<\/p>\n C\u00f3 ba y\u1ebfu t\u1ed1 khi\u1ebfn Hopper nhanh ch\u00f3ng tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n m\u1edbi.<\/p>\n Th\u1ee9 nh\u1ea5t l\u00e0 hi\u1ec7u n\u0103ng v\u01b0\u1ee3t tr\u1ed9i trong AI, \u0111\u1eb7c bi\u1ec7t v\u1edbi transformer v\u00e0 generative AI. Th\u1ee9 hai l\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng m\u1ea1nh m\u1ebd nh\u1edd NVLink v\u00e0 thi\u1ebft k\u1ebf cluster. Cu\u1ed1i c\u00f9ng l\u00e0 h\u1ec7 sinh th\u00e1i ph\u1ea7n m\u1ec1m CUDA \u0111\u00e3 tr\u01b0\u1edfng th\u00e0nh, gi\u00fap doanh nghi\u1ec7p d\u1ec5 d\u00e0ng tri\u1ec3n khai m\u00e0 kh\u00f4ng c\u1ea7n thay \u0111\u1ed5i qu\u00e1 nhi\u1ec1u.<\/p>\n S\u1ef1 k\u1ebft h\u1ee3p c\u1ee7a ba y\u1ebfu t\u1ed1 n\u00e0y t\u1ea1o ra m\u1ed9t n\u1ec1n t\u1ea3ng v\u1eeba m\u1ea1nh m\u1ebd, v\u1eeba th\u1ef1c t\u1ebf, ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u tri\u1ec3n khai AI \u1edf quy m\u00f4 l\u1edbn.<\/p>\n Kh\u00f4ng ph\u1ea3i m\u1ecdi workload \u0111\u1ec1u c\u1ea7n Hopper, nh\u01b0ng trong nhi\u1ec1u tr\u01b0\u1eddng h\u1ee3p, \u0111\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1i \u01b0u.<\/p>\n Khi doanh nghi\u1ec7p b\u1eaft \u0111\u1ea7u hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh l\u1edbn, x\u1eed l\u00fd d\u1eef li\u1ec7u quy m\u00f4 l\u1edbn ho\u1eb7c tri\u1ec3n khai AI trong production, nhu c\u1ea7u v\u1ec1 hi\u1ec7u n\u0103ng v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng s\u1ebd t\u0103ng nhanh. L\u00fac n\u00e0y, vi\u1ec7c s\u1eed d\u1ee5ng GPU th\u1ebf h\u1ec7 m\u1edbi nh\u01b0 Hopper gi\u00fap \u0111\u1ea3m b\u1ea3o h\u1ec7 th\u1ed1ng kh\u00f4ng tr\u1edf th\u00e0nh bottleneck.<\/p>\n Ngo\u00e0i ra, v\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng c\u1ea7n \u0111\u1ed9 tr\u1ec5 th\u1ea5p v\u00e0 x\u1eed l\u00fd th\u1eddi gian th\u1ef1c, Hopper c\u0169ng mang l\u1ea1i l\u1ee3i th\u1ebf r\u00f5 r\u1ec7t.<\/p>\n Hopper Architecture kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t b\u1ea3n n\u00e2ng c\u1ea5p GPU m\u00e0 l\u00e0 n\u1ec1n t\u1ea3ng \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf l\u1ea1i \u0111\u1ec3 ph\u1ee5c v\u1ee5 k\u1ef7 nguy\u00ean AI. T\u1eeb Transformer Engine, Tensor Core th\u1ebf h\u1ec7 m\u1edbi \u0111\u1ebfn kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng v\u00e0 b\u1ea3o m\u1eadt, t\u1ea5t c\u1ea3 \u0111\u1ec1u h\u01b0\u1edbng t\u1edbi m\u1ed9t m\u1ee5c ti\u00eau duy nh\u1ea5t: x\u1eed l\u00fd AI nhanh h\u01a1n, hi\u1ec7u qu\u1ea3 h\u01a1n v\u00e0 \u1edf quy m\u00f4 l\u1edbn h\u01a1n.<\/p>\n Tri\u1ec3n khai AI nhanh h\u01a1n v\u1edbi Cloud GPU v\u00e0 Server GPU s\u1eed d\u1ee5ng ki\u1ebfn tr\u00fac Hopper t\u1ea1i VNSO, s\u1eb5n s\u00e0ng cho LLM, training v\u00e0 inference quy m\u00f4 l\u1edbn. T\u1ed1i \u01b0u chi ph\u00ed \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng AI, linh ho\u1ea1t m\u1edf r\u1ed9ng theo nhu c\u1ea7u th\u1ef1c t\u1ebf. B\u1eaft \u0111\u1ea7u x\u00e2y d\u1ef1ng h\u1ec7 th\u1ed1ng AI hi\u1ec7u su\u1ea5t cao, n\u1ec1n t\u1ea3ng m\u1ea1nh m\u1ebd cho doanh nghi\u1ec7p Vi\u1ec7t.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n >>> Li\u00ean h\u1ec7 ngay nh\u1eadn t\u01b0 v\u1ea5n, b\u00e1o gi\u00e1<\/strong>\u00a0Server AI\/GPU, Cloud GPU VNSO<\/strong><\/a><\/p>\n \n <\/p> ![\"Hopper](\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/Hopper-Architecture-la-gi.jpg\")
<\/a><\/p>\nV\u00ec sao Hopper Architecture tr\u1edf th\u00e0nh b\u01b0\u1edbc ngo\u1eb7t trong h\u1ea1 t\u1ea7ng AI<\/h2>\n
Transformer Engine – l\u00f5i s\u1ee9c m\u1ea1nh c\u1ee7a Hopper<\/h3>\n
Hopper Architecture Tensor Core th\u1ebf h\u1ec7 4 v\u00e0 b\u01b0\u1edbc nh\u1ea3y v\u1ec1 hi\u1ec7u n\u0103ng<\/h3>\n
NVLink th\u1ebf h\u1ec7 4 v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng th\u1ef1c s\u1ef1<\/h3>\n
B\u1ed9 nh\u1edb HBM3 v\u00e0 gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n d\u1eef li\u1ec7u c\u1ee7a Hopper Architecture<\/h3>\n
Confidential Computing \u2013 b\u1ea3o m\u1eadt ngay trong GPU<\/h3>\n
![\"So](\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/04\/So-sanh-Hopper-va-Ampere-khong-chi-la-nang-cap.jpg\")
<\/a><\/p>\nSo s\u00e1nh Hopper v\u00e0 Ampere: kh\u00f4ng ch\u1ec9 l\u00e0 n\u00e2ng c\u1ea5p<\/h2>\n
Hopper \u0111\u01b0\u1ee3c \u1ee9ng d\u1ee5ng nh\u01b0 th\u1ebf n\u00e0o trong th\u1ef1c t\u1ebf<\/h2>\n
V\u00ec sao Hopper tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n trong AI Data Center<\/h2>\n
Doanh nghi\u1ec7p khi n\u00e0o n\u00ean s\u1eed d\u1ee5ng GPU Hopper<\/h2>\n
T\u1ed5ng k\u1ebft v\u1ec1 Hopper Architecture<\/h2>\n
<\/ul><\/div>\n