{"id":5499,"date":"2020-05-15T02:14:17","date_gmt":"2020-05-15T02:14:17","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=5499"},"modified":"2023-03-06T14:56:58","modified_gmt":"2023-03-06T07:56:58","slug":"gioi-thieu-chi-tiet-sieu-may-chu-ai-nvidia-dgx-a100-dua-tren-kien-truc-ampere","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/ai-hpc\/gioi-thieu-chi-tiet-sieu-may-chu-ai-nvidia-dgx-a100-dua-tren-kien-truc-ampere-p5499\/","title":{"rendered":"Gi\u1edbi thi\u1ec7u chi ti\u1ebft si\u00eau m\u00e1y ch\u1ee7 AI NVIDIA DGX A100 d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Ampere"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p><a href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/dgx-a100\/dgx-systems-solution-brief.pdf\" target=\"_blank\" rel=\"noopener\">NVIDIA DGX<\/a>\u00a0A100 l\u00e0 h\u1ec7 th\u1ed1ng ph\u1ed5 qu\u00e1t cho t\u1ea5t c\u1ea3 c\u00e1c AI workload, cung c\u1ea5p m\u1eadt \u0111\u1ed9 t\u00ednh to\u00e1n, hi\u1ec7u su\u1ea5t v\u00e0 t\u00ednh linh ho\u1ea1t ch\u01b0a t\u1eebng c\u00f3 trong h\u1ec7 th\u1ed1ng AI 5 petaFLOPS \u0111\u1ea7u ti\u00ean tr\u00ean th\u1ebf gi\u1edbi.\u00a0<span class=\"\">NVIDIA DGX A100 c\u00f3 b\u1ed9 t\u0103ng t\u1ed1c ti\u00ean ti\u1ebfn nh\u1ea5t th\u1ebf gi\u1edbi, \u0111\u00f3 l\u00e0 GPU NVIDIA A100 Tensor Core d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Ampere, cho ph\u00e9p c\u00e1c doanh nghi\u1ec7p h\u1ee3p nh\u1ea5t Training, Inference v\u00e0 Analytics th\u00e0nh m\u1ed9t c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI th\u1ed1ng nh\u1ea5t, d\u1ec5 tri\u1ec3n khai, bao g\u1ed3m quy\u1ec1n truy c\u1eadp tr\u1ef1c ti\u1ebfp v\u00e0o c\u1ed9ng \u0111\u1ed3ng c\u00e1c chuy\u00ean gia AI c\u1ee7a NVIDIA.<\/span><\/p>\n<h3 class=\"featured\">Nh\u1eefng \u01b0u \u0111i\u1ec3m c\u1ee7a h\u1ec7 th\u1ed1ng DGX A100<\/h3>\n<p>DGX A100 mang l\u1ea1i nh\u1eefng \u01b0u \u0111i\u1ec3m tr\u00ean 04 building-block thi\u1ebft y\u1ebfu c\u1ee7a m\u1ed9t trung t\u00e2m d\u1eef li\u1ec7u AI.<\/p>\n<p><a href=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/data-denter-dgx-a100-tour-1cC-L.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-5500\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/data-denter-dgx-a100-tour-1cC-L.jpg\" alt=\"\" width=\"626\" height=\"352\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/data-denter-dgx-a100-tour-1cC-L.jpg 626w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/data-denter-dgx-a100-tour-1cC-L-300x169.jpg 300w\" sizes=\"auto, (max-width: 626px) 100vw, 626px\" \/><\/a><\/p>\r\n\t\t\t\t<div class=\"tgmcad hor\" style=\"text-align:center;margin:30px 0; padding: 10px 0; border-radius:5px; border-top:solid 1px #ccc; border-bottom:solid 1px #ccc; \">\r\n\t\t\t\t<a href=\"https:\/\/thegioimaychu.vn\/giai-phap\/deep-learning\/\"><img decoding=\"async\" alt=\"Gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng Deep Learning, Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o - AI\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2019\/11\/tgmc-deep-learning.jpg\" \/><\/a>\r\n\t\t\t\t<\/div>\n<h5>H\u1ec7 th\u1ed1ng ph\u1ed5 qu\u00e1t cho m\u1ecdi AI workload<\/h5>\n<p>NVIDIA DGX A100 l\u00e0 h\u1ec7 th\u1ed1ng ph\u1ed5 qu\u00e1t cho t\u1ea5t c\u1ea3 c\u00e1c c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI, t\u1eeb ph\u00e2n t\u00edch (analytics), \u0111\u00e0o t\u1ea1o (training) \u0111\u1ebfn suy lu\u1eadn (inference).\u00a0N\u00f3 \u0111\u00f3ng g\u00f3i m\u1eadt \u0111\u1ed9 cao c\u00e1c compute v\u1edbi hi\u1ec7u su\u1ea5t x\u1eed l\u00fd AI l\u00ean \u0111\u1ebfn 5 petaFLOPS trong m\u1ed9t khung m\u00e1y 6U, thay th\u1ebf m\u1ed9t th\u00e1p c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng ch\u1ec9 b\u1eb1ng m\u1ed9t n\u1ec1n t\u1ea3ng cho m\u1ecdi AI workload.<\/p>\n<h5 class=\"title color-brand-green h4 none\"><span class=\"goog-text-highlight\">DGXperts: T\u00edch h\u1ee3p quy\u1ec1n truy c\u1eadp v\u00e0o c\u1ed9ng \u0111\u1ed3ng chuy\u00ean nghi\u1ec7p AI<\/span><\/h5>\n<p><span class=\"\">NVIDIA DGXperts l\u00e0 m\u1ed9t nh\u00f3m to\u00e0n c\u1ea7u g\u1ed3m h\u01a1n 14.000\u00a0<\/span><span class=\"\">chuy\u00ean gia v\u00e0 l\u1eadp tr\u00ecnh vi\u00ean th\u00f4ng th\u1ea1o AI<\/span><span class=\"\">, nh\u1eefng ng\u01b0\u1eddi \u0111\u00e3 c\u00f3 nhi\u1ec1u kinh nghi\u1ec7m trong th\u1eadp k\u1ef7 qua \u0111\u1ec3 gi\u00fap b\u1ea1n t\u1ed1i \u0111a h\u00f3a gi\u00e1 tr\u1ecb c\u1ee7a kho\u1ea3n \u0111\u1ea7u t\u01b0 cho h\u1ec7 th\u1ed1ng DGX c\u1ee7a m\u00ecnh.<\/span><\/p>\n<h5 class=\"title color-brand-green h4 none\"><span class=\"\">Th\u1eddi gian nhanh nh\u1ea5t \u0111\u1ec3 gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n v\u00e0 d\u1ef1 \u00e1n AI c\u1ee7a b\u1ea1n<\/span><\/h5>\n<p>DGX A100 l\u00e0 h\u1ec7 th\u1ed1ng AI \u0111\u1ea7u ti\u00ean tr\u00ean th\u1ebf gi\u1edbi \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean GPU NVIDIA A100 Tensor Core.\u00a0T\u00edch h\u1ee3p 8 GPU A100, h\u1ec7 th\u1ed1ng cung c\u1ea5p kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c ch\u01b0a t\u1eebng c\u00f3 v\u00e0 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a ho\u00e0n to\u00e0n cho\u00a0ph\u1ea7n m\u1ec1m\u00a0NVIDIA CUDA-X\u2122\u00a0v\u00e0\u00a0c\u00e1c l\u1edbp gi\u1ea3i ph\u00e1p end-to-end cho trung t\u00e2m d\u1eef li\u1ec7u NVIDIA.<\/p>\n<h5 class=\"title color-brand-green h4 none\"><span class=\"\">Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng cho trung t\u00e2m d\u1eef li\u1ec7u ch\u01b0a t\u1eebng c\u00f3<\/span><\/h5>\n<p>M\u1edf r\u1ed9ng trung t\u00e2m d\u1eef li\u1ec7u AI khi d\u1eef li\u1ec7u v\u00e0 b\u00e0i to\u00e1n b\u00f9ng n\u1ed5 l\u00e0 m\u1ed9t y\u00eau c\u1ea7u kh\u00f4ng tr\u00e1nh kh\u1ecfi.\u00a0NVIDIA DGX A100 t\u00edch h\u1ee3p Mellanox ConnectX-6 VPI HDR InfiniBand\/Ethernet network adapters v\u1edbi 450GB\/s b\u0103ng th\u00f4ng hai chi\u1ec1u cao nh\u1ea5t.\u00a0\u0110\u00e2y l\u00e0 m\u1ed9t trong nhi\u1ec1u t\u00ednh n\u0103ng gi\u00fap DGX A100 tr\u1edf th\u00e0nh kh\u1ed1i x\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng cho c\u00e1c c\u1ee5m AI l\u1edbn nh\u01b0\u00a0NVIDIA DGX SuperPOD &#8211; m\u00f4t\u00a0b\u1ea3n thi\u1ebft k\u1ebf Enterpise cho c\u01a1 s\u1edf h\u1ea1 t\u1ea7ng AI c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng.<\/p>\n<h3 class=\"featured\">M\u1ed9t s\u1ed1 so s\u00e1nh v\u1ec1 thay \u0111\u1ed5i hi\u1ec7u n\u0103ng x\u1eed l\u00fd<\/h3>\n<h3>Ph\u00e2n t\u00edch<\/h3>\n<p><strong>PageRank<\/strong> &#8211;\u00a0Ph\u00e2n t\u00edch nhanh h\u01a1n ngh\u0129a l\u00e0 n\u1eafm b\u1eaft s\u00e2u s\u1eafc h\u01a1n \u0111\u1ec3 \u0111\u1ea9y m\u1ea1nh ph\u00e1t tri\u1ec3n AI.<\/p>\n<h3><img loading=\"lazy\" decoding=\"async\" width=\"402\" height=\"124\" class=\"alignnone wp-image-5504 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t.png 402w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-300x93.png 300w\" sizes=\"auto, (max-width: 402px) 100vw, 402px\" \/><\/h3>\n<h3><span style=\"font-family: Arial, 'Times New Roman', 'Bitstream Charter', Times, serif; font-size: 16px; font-weight: 400;\">M\u00e1y ch\u1ee7 3000x CPU so v\u1edbi 4x DGX A100.\u00a0T\u1eadp d\u1eef li\u1ec7u thu th\u1eadp chung \u0111\u00e3 \u0111\u01b0\u1ee3c xu\u1ea5t b\u1ea3n: 128 t\u1ef7 edges, 2.6TB d\u1eef li\u1ec7u graph.<\/span><\/h3>\n<h3>\u0110\u00e0o t\u1ea1o<\/h3>\n<p><strong>NLP: BERT-Large<\/strong> &#8211; \u0110\u00e0o t\u1ea1o nhanh h\u01a1n cho ph\u00e9p tri\u1ec3n khai c\u00e1c m\u00f4 h\u00ecnh AI ti\u00ean ti\u1ebfn nh\u1ea5t.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"401\" height=\"116\" class=\"alignnone wp-image-5505 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-1.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-1.png 401w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-1-300x87.png 300w\" sizes=\"auto, (max-width: 401px) 100vw, 401px\" \/><\/p>\n<p>BERT Pre-Training Throughput s\u1eed d\u1ee5ng PyTorch bao g\u1ed3m (2\/3) Giai \u0111o\u1ea1n 1 v\u00e0 (1\/3) Giai \u0111o\u1ea1n 2. Giai \u0111o\u1ea1n 1 Seq Len = 128, Giai \u0111o\u1ea1n 2 Seq Len = 512. V100: DGX-1 v\u1edbi 8x V100 s\u1eed d\u1ee5ng \u0111\u1ed9 ch\u00ednh x\u00e1c FP32.\u00a0DGX A100: DGX A100 v\u1edbi 8x A100 s\u1eed d\u1ee5ng \u0111\u1ed9 ch\u00ednh x\u00e1c TF32.<\/p>\n<h3>Suy lu\u1eadn<\/h3>\n<p><strong>Peak Compute<\/strong> &#8211;\u00a0Suy lu\u1eadn nhanh h\u01a1n l\u00e0m t\u0103ng ROI th\u00f4ng qua vi\u1ec7c s\u1eed d\u1ee5ng h\u1ec7 th\u1ed1ng t\u1ed1i \u0111a.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"412\" height=\"118\" class=\"alignnone wp-image-5506 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-2.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-2.png 412w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-2-300x86.png 300w\" sizes=\"auto, (max-width: 412px) 100vw, 412px\" \/><\/p>\n<p>M\u00e1y ch\u1ee7 CPU: 2x Intel Platinum 8280 s\u1eed d\u1ee5ng INT8.\u00a0DGX A100: DGX A100 v\u1edbi 8x A100 s\u1eed d\u1ee5ng INT8 v\u1edbi Structural Sparsity.<\/p>\n<h3 class=\"featured\">KH\u00c1M PH\u00c1 C\u00c1C TH\u00c0NH PH\u1ea6N M\u1ea0NH M\u1ebc C\u1ee6A DGX A100<\/h3>\n<ol>\n<li>GPU NVIDIA A100\u00a08 x V\u1edaI T\u1ed4NG B\u1ed8 NH\u1eda GPU 320GB, 12 NVLinks \/ GPU, Bi-directional Bandwidth GPU-to-GPU 600 GB\/s<\/li>\n<li>6X NVIDIA NVSWITCH\u00a04,8 TB\/s<br \/>\n4.8 TB\/s Bi-directional Bandwidth, g\u1ea5p 2 l\u1ea7n NVSwitch th\u1ebf h\u1ec7 tr\u01b0\u1edbc<\/li>\n<li>9x MELLANOX CONNECTX-6 Giao di\u1ec7n M\u1ea0NG 200Gb\/s M\u1ea0NG 450 GB\/s<br \/>\n450 GB\/s Peak Bi-directional Bandwidth<\/li>\n<li>2x 64-CORE AMD CPU, 1TB SYSTEM MEMORY<br \/>\nG\u1ea5p 3.2 l\u1ea7n s\u1ed1 core, \u0111\u1ec3 ch\u1ea1y cho h\u1ea7u h\u1ebft c\u00e1c job AI n\u1eb7ng n\u1ec1 nh\u1ea5t<\/li>\n<li>15TB GEN4 NVME SSD<br \/>\n25GB\/s Peak Bandwidth, nhanh h\u01a1n 2x so v\u1edbi NVME SSD\u00a0Gen3<\/li>\n<\/ol>\n<h3 class=\"featured\">C\u00f4ng ngh\u1ec7 b\u00ean trong NVidia DGX A100<\/h3>\n<h2>NVIDIA A100 &#8211;\u00a0Tensor Core GPU<\/h2>\n<p>GPU NVIDIA A100 Tensor Core mang \u0111\u1ebfn kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c ch\u01b0a t\u1eebng c\u00f3 cho AI, ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao (HPC) \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c th\u00e1ch th\u1ee9c \u0111i\u1ec7n to\u00e1n kh\u00f3 kh\u0103n nh\u1ea5t c\u1ee7a th\u1ebf gi\u1edbi.\u00a0V\u1edbi\u00a0<a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/tensorcore\/\" target=\"_blank\" rel=\"noopener\">NVIDIA Tensor Cores<\/a>\u00a0th\u1ebf h\u1ec7 th\u1ee9 ba\u00a0mang l\u1ea1i hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i, GPU A100 c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng hi\u1ec7u qu\u1ea3 l\u00ean \u0111\u1ebfn h\u00e0ng ngh\u00ecn ho\u1eb7c, v\u1edbi <a class=\"iblink\" href=\"\/blog\/tong-hop\/mig-multi-instance-gpu-la-gi-p5634\/\">Multi-Instance GPU<\/a>,\u00a0\u0111\u01b0\u1ee3c ph\u00e2n chia th\u00e0nh 7x GPU nh\u1ecf h\u01a1n, chuy\u00ean d\u1ee5ng \u0111\u1ec3 t\u0103ng t\u1ed1c cho c\u00e1c workload \u1edf m\u1ecdi k\u00edch th\u01b0\u1edbc.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/tgmc-blog-5ebdf8e8eade3.jpg\" alt=\"GPU l\u00f5i c\u0103ng NVIDIA A100\" \/><br \/>\n<b><a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a100\/\" target=\"_blank\" rel=\"noopener\" data-analytics=\"txt-manual:\" data-title=\"\" data-href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/a100\/\"><strong>T\u00ccM HI\u1ec2U TH\u00caM<\/strong><\/a><\/b><\/p>\n<h2>Multi-Instance GPU (MIG)<\/h2>\n<p>V\u1edbi MIG, t\u00e1m GPU A100 trong DGX A100 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c c\u1ea5u h\u00ecnh th\u00e0nh t\u1ed1i \u0111a 56 phi\u00ean b\u1ea3n GPU, m\u1ed7i GPU \u0111\u01b0\u1ee3c c\u00e1ch ly ho\u00e0n to\u00e0n v\u1edbi b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao, b\u1ed9 nh\u1edb cache v\u00e0 l\u00f5i t\u00ednh to\u00e1n.\u00a0\u0110i\u1ec1u n\u00e0y cho ph\u00e9p qu\u1ea3n tr\u1ecb vi\u00ean GPU k\u00edch th\u01b0\u1edbc ph\u00f9 h\u1ee3p v\u1edbi ch\u1ea5t l\u01b0\u1ee3ng d\u1ecbch v\u1ee5 (QoS) \u0111\u01b0\u1ee3c \u0111\u1ea3m b\u1ea3o cho nhi\u1ec1u kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/tgmc-blog-5ebdf8e98e646.jpg\" alt=\"GPU \u0111a n\u0103ng\" \/><br \/>\n<a href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/multi-instance-gpu\/\" target=\"_blank\" rel=\"noopener\" data-analytics=\"txt-manual:\" data-title=\"\" data-href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/multi-instance-gpu\/\"><b><strong>T\u00ccM HI\u1ec2U TH\u00caM<\/strong>\u00a0<\/b><\/a><\/p>\n<h2>NVLink th\u1ebf h\u1ec7 ti\u1ebfp theo v\u00e0 NVSwitch<\/h2>\n<p>Th\u1ebf h\u1ec7 th\u1ee9 ba c\u1ee7a NVIDIA\u00a0\u00ae\u00a0NVLink\u00a0\u2122\u00a0trong DGX A100 t\u0103ng g\u1ea5p \u0111\u00f4i b\u0103ng th\u00f4ng tr\u1ef1c ti\u1ebfp t\u1eeb GPU \u0111\u1ebfn GPU l\u00ean 600 gigabyte m\u1ed7i gi\u00e2y (GB \/ s), cao h\u01a1n g\u1ea7n 10 l\u1ea7n so v\u1edbi PCIe Gen4.\u00a0DGX A100 c\u0169ng c\u00f3 NVIDIA NVSwitch \u2122 th\u1ebf h\u1ec7 ti\u1ebfp theo, nhanh g\u1ea5p 2 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/tgmc-blog-5ebdf8e9e810a.jpg\" alt=\"NVLink th\u1ebf h\u1ec7 ti\u1ebfp theo v\u00e0 NVSwitch\" \/><\/p>\n<h2>Mellanox ConnectX-6 VPI HDR InfiniBand<\/h2>\n<p>DGX A100 c\u00f3 b\u1ed9 \u0111i\u1ec1u h\u1ee3p Mellanox ConnectX-6 VPI HDR InfiniBand \/ Ethernet m\u1edbi nh\u1ea5t, m\u1ed7i b\u1ed9 ch\u1ea1y v\u1edbi t\u1ed1c \u0111\u1ed9 200 gigabit m\u1ed7i gi\u00e2y (Gb \/ s) \u0111\u1ec3 t\u1ea1o ra m\u1ed9t lo\u1ea1i v\u1ea3i t\u1ed1c \u0111\u1ed9 cao cho kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c AI quy m\u00f4 l\u1edbn.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/tgmc-blog-5ebdf8ea5d282.jpg\" alt=\"Mellanox ConnectX-6 VPI HDR InfiniBand\" \/><\/p>\n<h2>T\u1ed1i \u01b0u h\u00f3a software stack<\/h2>\n<p>DGX A100 t\u00edch h\u1ee3p ng\u0103n x\u1ebfp ph\u1ea7n m\u1ec1m DGX \u0111\u00e3 \u0111\u01b0\u1ee3c th\u1eed nghi\u1ec7m v\u00e0 t\u1ed1i \u01b0u h\u00f3a, bao g\u1ed3m h\u1ec7 \u0111i\u1ec1u h\u00e0nh c\u01a1 s\u1edf \u0111\u01b0\u1ee3c \u0111i\u1ec1u ch\u1ec9nh b\u1eb1ng AI, t\u1ea5t c\u1ea3 ph\u1ea7n m\u1ec1m h\u1ec7 th\u1ed1ng c\u1ea7n thi\u1ebft v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c GPU, c\u00e1c m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o tr\u01b0\u1edbc v\u00e0 h\u01a1n th\u1ebf n\u1eefa t\u1eeb\u00a0<a href=\"https:\/\/www.nvidia.com\/ngc\">NGC<\/a>\u00a0.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/tgmc-blog-5ebdf8eae6bab.jpg\" alt=\"Ng\u0103n x\u1ebfp ph\u1ea7n m\u1ec1m DGX\" \/><br \/>\n<a href=\"https:\/\/www.nvidia.com\/en-us\/gpu-cloud\/\" target=\"_self\" data-analytics=\"txt-manual:\" data-title=\"\" data-href=\"https:\/\/www.nvidia.com\/en-us\/gpu-cloud\/\"><b><strong>T\u00ccM HI\u1ec2U TH\u00caM<\/strong>\u00a0<\/b><\/a><\/p>\n<h2>B\u1ea3o m\u1eadt t\u00edch h\u1ee3p<\/h2>\n<p>DGX A100 mang \u0111\u1ebfn t\u01b0 th\u1ebf b\u1ea3o m\u1eadt m\u1ea1nh m\u1ebd nh\u1ea5t cho vi\u1ec7c tri\u1ec3n khai AI, v\u1edbi c\u00e1ch ti\u1ebfp c\u1eadn nhi\u1ec1u l\u1edbp tr\u1ea3i d\u00e0i tr\u00ean b\u1ed9 \u0111i\u1ec1u khi\u1ec3n qu\u1ea3n l\u00fd v\u00e1n ch\u00e2n t\u01b0\u1eddng (BMC), bo m\u1ea1ch CPU, bo m\u1ea1ch GPU, \u1ed5 \u0111\u0129a t\u1ef1 m\u00e3 h\u00f3a v\u00e0 kh\u1edfi \u0111\u1ed9ng an to\u00e0n.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/tgmc-blog-5ebdf8eb6d511.png\" alt=\"B\u1ea3o m\u1eadt t\u00edch h\u1ee3p \" \/><\/p>\n<p>&nbsp;<\/p>\n<h3 class=\"featured\">Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt NVidia DGX A100<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"849\" height=\"615\" class=\"alignnone wp-image-5514 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-3.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-3.png 849w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-3-300x217.png 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/05\/TheGioiMayChu-Blog-Image-nvidia-ra-mat-sieu-may-chu-ai-moi-nhat-dgx-a100-dung-kien-truc-ampere-dau-tien-t-3-768x556.png 768w\" sizes=\"auto, (max-width: 849px) 100vw, 849px\" \/><\/p>\n<p>Download: <a href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/Data-Center\/nvidia-dgx-a100-datasheet.pdf\">DGX A100 DataSheet<\/a><\/p>\n<h3 class=\"featured\">C\u1eadp nh\u1eadt t\u1eeb c\u00e1c trang c\u00f4ng ngh\u1ec7<\/h3>\n<h4>tomshardware<\/h4>\n<p>DGX A100 l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng c\u1ef1c k\u1ef3 m\u1ea1nh m\u1ebd c\u00f3 nhi\u1ec1u d\u1ea5u \u1ea5n c\u1ee7a Nvidia \u1edf b\u00ean ngo\u00e0i, v\u00e0 b\u00ean trong c\u00f2n c\u00f3 AMD.\u00a0M\u1ed9t c\u1eb7p b\u1ed9 x\u1eed l\u00fd AMD Epyc 7742 (t\u00ean m\u00e3 Rome) l\u00e0 c\u1ed1t l\u00f5i c\u1ee7a s\u1ef1 s\u00e1ng t\u1ea1o \u1edf t\u1ea7m gi\u00e1 199.000 USD c\u1ee7a Nvidia.<\/p>\n<p>DGX A100 s\u1eed d\u1ee5ng t\u1edbi t\u00e1m\u00a0GPU trung t\u00e2m d\u1eef li\u1ec7u A100\u00a0\u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi Ampere, cung c\u1ea5p t\u1edbi 320GB t\u1ed5ng b\u1ed9 nh\u1edb GPU v\u00e0 cung c\u1ea5p kho\u1ea3ng 5 petaflop hi\u1ec7u n\u0103ng AI.\u00a0A100 c\u00f3 th\u1ec3 th\u1ef1c hi\u1ec7n h\u1ea7u h\u1ebft c\u00e1c c\u00f4ng vi\u1ec7c n\u1eb7ng nh\u1ecdc, ph\u00e2n kh\u00fac \u0111i\u1ec7n to\u00e1n n\u00e0y v\u1eabn c\u1ea7n m\u1ed9t nh\u00e0 d\u1eabn \u0111\u1ea7u.<\/p>\n<p>A100 t\u1eadn d\u1ee5ng\u00a0PCIe\u00a04.0, nh\u01b0ng Intel hi\u1ec7n kh\u00f4ng c\u00f3 b\u1ed9 x\u1eed l\u00fd n\u00e0o h\u1ed7 tr\u1ee3 giao di\u1ec7n n\u00e0y.\u00a0AMD, m\u1eb7t kh\u00e1c, \u0111\u00e3 c\u00f4ng khai ch\u1ea5p nh\u1eadn ti\u00eau chu\u1ea9n PCIe 4.0 tr\u00ean ph\u1ea7n l\u1edbn c\u00e1c\u00a0CPU\u00a0hi\u1ec7n \u0111\u1ea1i c\u1ee7a n\u00f3.\u00a0Nvidia cu\u1ed1i c\u00f9ng \u0111\u00e3 t\u00ecm th\u1ea5y s\u1ef1 tho\u1ea3i m\u00e1i trong v\u00f2ng tay c\u1ee7a AMD, c\u1ee5 th\u1ec3 h\u01a1n l\u00e0 c\u00e1c\u00a0s\u1ea3n ph\u1ea9m\u00a0EPYC th\u1ebf h\u1ec7 th\u1ee9 hai\u00a0c\u1ee7a AMD.<\/p>\n<p>DGX A100 c\u00f3 hai b\u1ed9 x\u1eed l\u00fd 7nm EPYC 7742.\u00a0M\u1ed7i b\u1ed9 x\u1eed l\u00fd Zen 2 \u0111i k\u00e8m v\u1edbi 64\u00a0l\u00f5i\u00a0v\u00e0 128\u00a0lu\u1ed3ng\u00a0ch\u1ea1y v\u1edbi\u00a0xung nh\u1ecbp c\u01a1 b\u1ea3n\u00a02,25 GHz\u00a0v\u00e0 xung nh\u1ecbp t\u0103ng 3,4 GHz.\u00a0B\u1ed9 \u0111\u00f4i Epyc 7742 chi\u1ebfm 128 l\u00f5i v\u00e0 256 lu\u1ed3ng tr\u00ean DGX A100.<\/p>\n<p>Epyc 7742 kh\u00f4ng ch\u1ec9 h\u00e0o ph\u00f3ng v\u1edbi l\u00f5i;\u00a0N\u00f3 c\u0169ng kh\u00e1 n\u1eb7ng v\u1ec1\u00a0b\u1ed9 \u0111\u1ec7m\u00a0, cung c\u1ea5p t\u1edbi 256 MB b\u1ed9 \u0111\u1ec7m L3.\u00a0Quan tr\u1ecdng h\u01a1n, ph\u1ea7n 64 l\u00f5i \u0111\u1eb7t 128 l\u00e0n PCIe 4.0 t\u1ed1c \u0111\u1ed9 cao theo \u00fd c\u1ee7a Nvidia.<\/p>\n<p>M\u1ed9t h\u1ec7 th\u1ed1ng DGX A100 th\u00f4ng th\u01b0\u1eddng c\u0169ng c\u00f3 b\u1ed9 nh\u1edb 1TB (c\u00f3 th\u1ec3 n\u00e2ng c\u1ea5p l\u00ean 2TB), hai\u00a0\u1ed5 SSD\u00a0NVMe\u00a0M.2\u00a01.92TB\u00a0trong m\u1ed9t m\u1ea3ng RAID 1 cho h\u1ec7 \u0111i\u1ec1u h\u00e0nh (Ubuntu Linux) v\u00e0 l\u00ean \u0111\u1ebfn b\u1ed1n 3.84TB PCIe 4.0 NVMe U.2 \u1ed5 \u0111\u0129a trong m\u1ed9t m\u1ea3ng RAID 0 cho kho th\u1ee9 c\u1ea5p.\u00a0Nvidia c\u0169ng cung c\u1ea5p t\u00f9y ch\u1ecdn th\u00eam b\u1ed1n\u00a0\u1ed5 SSD\u00a0b\u1ed5 sung\u00a0\u0111\u1ec3 t\u0103ng dung l\u01b0\u1ee3ng RAID 0 t\u1eeb 15TB l\u00ean \u0111\u1ebfn 30TB.<\/p>\n<p>DGX A100 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf v\u1edbi c\u00f4ng ngh\u1ec7 m\u1ea1ng ti\u00ean ti\u1ebfn nh\u1ea5t.\u00a0Nvidia g\u1ea7n \u0111\u00e2y \u0111\u00e3 mua l\u1ea1i Mellanox\u00a0Technologies trong m\u1ed9t th\u1ecfa thu\u1eadn tr\u1ecb gi\u00e1 6,9 t\u1ef7 USD v\u00e0 n\u00f3 \u0111\u00e3 \u0111\u01b0\u1ee3c \u0111\u1ec1n \u0111\u00e1p.\u00a0DGX A100 g\u00f3i t\u00e1m b\u1ed9 \u0111i\u1ec1u h\u1ee3p Mellanox ConnectX-6 VPI HDR InfiniBand m\u1ed9t c\u1ed5ng \u0111\u1ec3 ph\u00e2n c\u1ee5m v\u00e0 m\u1ed9t b\u1ed9 \u0111i\u1ec1u h\u1ee3p Ethernet ConnectX-6 VPI hai c\u1ed5ng \u0111\u1ec3 l\u01b0u tr\u1eef v\u00e0 s\u1eed d\u1ee5ng m\u1ea1ng.\u00a0C\u00e1c b\u1ed9 \u0111i\u1ec1u h\u1ee3p \u0111\u00e3 n\u00f3i \u1edf tr\u00ean c\u00f3 kh\u1ea3 n\u0103ng cung c\u1ea5p th\u00f4ng l\u01b0\u1ee3ng l\u00ean t\u1edbi 200 Gbps.<\/p>\n<hr \/>\n<blockquote><p>Li\u00ean h\u1ec7 t\u01b0 v\u1ea5n v\u00e0 ch\u00e0o gi\u00e1 d\u1ef1 \u00e1n<br \/>\nHotline: <strong>+84-96-8888-388<\/strong><br \/>\nEmail: <strong>presales@nhattienchung.vn<\/strong><\/p><\/blockquote>\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<\/p>","protected":false},"excerpt":{"rendered":"<p>NVIDIA DGX&nbsp;A100 l&agrave; h&#7879; th&#7889;ng ph&#7893; qu&aacute;t cho t&#7845;t c&#7843; c&aacute;c AI workload, cung c&#7845;p m&#7853;t &#273;&#7897; t&iacute;nh to&aacute;n, hi&#7879;u su&#7845;t v&agrave; t&iacute;nh linh ho&#7841;t ch&#432;a t&#7915;ng c&oacute; trong h&#7879; th&#7889;ng AI 5 petaFLOPS &#273;&#7847;u ti&ecirc;n tr&ecirc;n th&#7871; gi&#7899;i.&nbsp;NVIDIA DGX A100 c&oacute; b&#7897; t&#259;ng t&#7889;c ti&ecirc;n ti&#7871;n nh&#7845;t th&#7871; gi&#7899;i, &#273;&oacute; l&agrave; GPU NVIDIA A100&#8230;<\/p>\n","protected":false},"author":2,"featured_media":7172,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3,162,44,1],"tags":[1364,671,74,1314],"class_list":["post-5499","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-hpc","category-giai-phap","category-product","category-tong-hop","tag-dgx","tag-gpu","tag-hpc","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Gi\u1edbi thi\u1ec7u chi ti\u1ebft si\u00eau m\u00e1y ch\u1ee7 AI NVIDIA DGX A100 d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Ampere - 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\" 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