{"id":7185,"date":"2021-05-14T09:33:34","date_gmt":"2021-05-14T09:33:34","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/blog\/?p=7185"},"modified":"2021-05-14T23:08:30","modified_gmt":"2021-05-14T23:08:30","slug":"gioi-thieu-gpu-nvidia-a40-dong-gpu-manh-me-nhat-cho-data-center-cloud-va-ca-desktop","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/blog\/tong-hop\/gioi-thieu-gpu-nvidia-a40-dong-gpu-manh-me-nhat-cho-data-center-cloud-va-ca-desktop-p7185\/","title":{"rendered":"Gi\u1edbi thi\u1ec7u GPU NVIDIA A40: d\u00f2ng GPU m\u1ea1nh m\u1ebd nh\u1ea5t cho Data Center, Cloud v\u00e0 c\u1ea3 Desktop"},"content":{"rendered":"<style>.iblink{color:#975!important;}.iblink:hover{color:orange!important;}<\/style><p>GPU NVIDIA A40 l\u00e0 m\u1ed9t b\u01b0\u1edbc \u0111\u1ed9t ph\u00e1 v\u1ec1 hi\u1ec7u su\u1ea5t v\u00e0 kh\u1ea3 n\u0103ng k\u1ebft h\u1ee3p multi-workload trong trung t\u00e2m d\u1eef li\u1ec7u, k\u1ebft h\u1ee3p n\u0103ng l\u1ef1c \u0111\u1ed3 h\u1ecda m\u1ea1nh m\u1ebd nh\u1ea5t, c\u00f9ng v\u1edbi kh\u1ea3 n\u0103ng t\u0103ng t\u1ed1c x\u1eed l\u00fd cho AI \u0111\u1ec3 \u0111\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u v\u1ec1 thi\u1ebft k\u1ebf, s\u00e1ng t\u1ea1o v\u00e0 nghi\u00ean c\u1ee9u khoa h\u1ecdc ng\u00e0y nay. N\u00f3 c\u0169ng th\u00fac \u0111\u1ea9y s\u1ef1 ra \u0111\u1eddi th\u1ebf h\u1ec7 ti\u1ebfp theo c\u1ee7a c\u00e1c m\u00e1y tr\u1ea1m \u1ea3o (virtual workstation) v\u00e0 c\u00e1c workload d\u1ef1a tr\u00ean m\u00e1y ch\u1ee7. NVIDIA A40 mang \u0111\u1ebfn c\u00e1c t\u00ednh n\u0103ng hi\u1ec7n \u0111\u1ea1i cho ray-traced rendering, m\u00f4 ph\u1ecfng, s\u1ea3n ph\u1ea9m \u1ea3o v\u00e0 v\u00f4 v\u00e0n c\u00e1c \u1ee9ng d\u1ee5ng kh\u00e1c.<\/p>\n<p>Th\u00f4ng s\u1ed1 c\u01a1 b\u1ea3n:\u00a0<b>48GB GDDR6, 696 GB\/s, PCIe 4.0, 3x DisplayPort, 1&#215;8-pin 300W<\/b><\/p>\n<h2>Hi\u1ec7u n\u0103ng<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"939\" height=\"332\" class=\"alignnone wp-image-7189 size-full\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-gioi-thieu-gpu-nvidia-a40-gpu-manh-me-nhat-cho-desktop-data-center-va-cloud.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-gioi-thieu-gpu-nvidia-a40-gpu-manh-me-nhat-cho-desktop-data-center-va-cloud.png 939w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-gioi-thieu-gpu-nvidia-a40-gpu-manh-me-nhat-cho-desktop-data-center-va-cloud-300x106.png 300w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2020\/10\/TheGioiMayChu-Blog-Image-gioi-thieu-gpu-nvidia-a40-gpu-manh-me-nhat-cho-desktop-data-center-va-cloud-768x272.png 768w\" sizes=\"auto, (max-width: 939px) 100vw, 939px\" \/><\/p>\n<p><b>Ki\u1ebfn tr\u00fac NVIDIA Ampere<\/b><\/p>\n<p>NVIDIA A40 l\u00e0 GPU cho m\u00e1y tr\u1ea1m m\u1ea1nh m\u1ebd nh\u1ea5t cung c\u1ea5p t\u00ednh n\u0103ng realtime ray-tracing hi\u1ec7u n\u0103ng cao, t\u0103ng t\u1ed1c AI v\u00e0 k\u1ebft xu\u1ea5t \u0111\u1ed3 h\u1ecda chuy\u00ean nghi\u1ec7p.<\/p>\n<p><b>Nh\u00e2n CUDA<\/b><\/p>\n<p>C\u00e1c l\u00f5i CUDA c\u1ee7a ki\u1ebfn tr\u00fac NVIDIA Ampere mang l\u1ea1i ph\u00e9p to\u00e1n FP32 nhanh g\u1ea5p 2 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc, cung c\u1ea5p c\u00e1c c\u1ea3i ti\u1ebfn hi\u1ec7u su\u1ea5t \u0111\u00e1ng k\u1ec3 cho quy tr\u00ecnh \u0111\u1ed3 h\u1ecda, ch\u1eb3ng h\u1ea1n nh\u01b0 ph\u00e1t tri\u1ec3n m\u00f4 h\u00ecnh 3D (CAD) v\u00e0 t\u00ednh to\u00e1n cho c\u00e1c m\u00f4 ph\u1ecfng CAE.<\/p>\n<p><b>RT Core th\u1ebf h\u1ec7 2<\/b><\/p>\n<p>V\u1edbi th\u00f4ng l\u01b0\u1ee3ng l\u00ean \u0111\u1ebfn g\u1ea5p 2 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc v\u00e0 kh\u1ea3 n\u0103ng ch\u1ea1y \u0111\u1ed3ng th\u1eddi theo d\u00f5i tia v\u1edbi kh\u1ea3 n\u0103ng t\u1ea1o b\u00f3ng ho\u1eb7c l\u00e0m m\u1edd, RT Cores th\u1ebf h\u1ec7 th\u1ee9 hai cung c\u1ea5p t\u1ed1c \u0111\u1ed9 l\u1edbn cho kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c nh\u01b0 k\u1ebft xu\u1ea5t \u1ea3nh th\u1ef1c n\u1ed9i dung phim, \u0111\u00e1nh gi\u00e1 thi\u1ebft k\u1ebf ki\u1ebfn \u200b\u200btr\u00fac v\u00e0 t\u1ea1o m\u1eabu \u1ea3o c\u1ee7a ki\u1ec3u d\u00e1ng s\u1ea3n ph\u1ea9m.\u00a0C\u00f4ng ngh\u1ec7 n\u00e0y c\u0169ng t\u0103ng t\u1ed1c \u0111\u1ed9 hi\u1ec3n th\u1ecb hi\u1ec7n t\u01b0\u1ee3ng nh\u00f2e chuy\u1ec3n \u0111\u1ed9ng theo tia \u0111\u1ec3 c\u00f3 k\u1ebft qu\u1ea3 nhanh h\u01a1n v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c h\u00ecnh \u1ea3nh cao h\u01a1n.<\/p>\n<p><b>Tensor Core th\u1ebf h\u1ec7 3<\/b><\/p>\n<p>A40 bao g\u1ed3m c\u00e1c l\u00f5i Tensor n\u00e2ng cao gi\u00fap t\u0103ng t\u1ed1c nhi\u1ec1u lo\u1ea1i d\u1eef li\u1ec7u h\u01a1n v\u00e0 bao g\u1ed3m t\u00ednh n\u0103ng Fine-Grained Structured Sparsity m\u1edbi mang \u0111\u1ebfn th\u00f4ng l\u01b0\u1ee3ng g\u1ea5p 2 l\u1ea7n cho ma tr\u1eadn tensor so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.\u00a0H\u1ed7 tr\u1ee3 ph\u1ea7n c\u1ee9ng cho s\u1ef1 th\u01b0a th\u1edbt v\u1ec1 c\u1ea5u tr\u00fac gi\u00fap t\u0103ng g\u1ea5p \u0111\u00f4i th\u00f4ng l\u01b0\u1ee3ng cho h\u1ed9i ngh\u1ecb.\u00a0Tensor Cores c\u0169ng mang AI v\u00e0o \u0111\u1ed3 h\u1ecda v\u1edbi c\u00e1c kh\u1ea3 n\u0103ng nh\u01b0\u00a0<strong>DLSS<\/strong>\u00a0, AI kh\u1eed nhi\u1ec5u v\u00e0 ch\u1ec9nh s\u1eeda n\u00e2ng cao cho c\u00e1c \u1ee9ng d\u1ee5ng \u0111\u01b0\u1ee3c ch\u1ecdn.<\/p>\n<p><b>PCIE Th\u1ebf h\u1ec7 4<\/b><\/p>\n<p>PCI Express Gen 4 t\u0103ng g\u1ea5p \u0111\u00f4i b\u0103ng th\u00f4ng c\u1ee7a PCIe Gen 3, c\u1ea3i thi\u1ec7n t\u1ed1c \u0111\u1ed9 truy\u1ec1n d\u1eef li\u1ec7u t\u1eeb b\u1ed9 nh\u1edb CPU cho c\u00e1c t\u00e1c v\u1ee5 \u0111\u00f2i h\u1ecfi nhi\u1ec1u d\u1eef li\u1ec7u nh\u01b0 AI, khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 thi\u1ebft k\u1ebf 3D.\u00a0Hi\u1ec7u su\u1ea5t PCIe nhanh h\u01a1n c\u0169ng t\u0103ng t\u1ed1c \u0111\u1ed9 truy\u1ec1n truy c\u1eadp b\u1ed9 nh\u1edb tr\u1ef1c ti\u1ebfp GPU (DMA), cung c\u1ea5p kh\u1ea3 n\u0103ng giao ti\u1ebfp I \/ O nhanh h\u01a1n \u0111\u1ed1i v\u1edbi d\u1eef li\u1ec7u video gi\u1eefa GPU v\u00e0\u00a0GPUDirect\u00a0<sup>\u00ae<\/sup>\u00a0cho\u00a0c\u00e1c thi\u1ebft b\u1ecb\u00a0h\u1ed7 tr\u1ee3 Video,\u00a0mang \u0111\u1ebfn gi\u1ea3i ph\u00e1p m\u1ea1nh m\u1ebd cho truy\u1ec1n h\u00ecnh tr\u1ef1c ti\u1ebfp.\u00a0A40 t\u01b0\u01a1ng th\u00edch ng\u01b0\u1ee3c v\u1edbi PCI Express Gen 3 \u0111\u1ec3 tri\u1ec3n khai linh ho\u1ea1t.<\/p>\n<p><b>B\u1ed9 nh\u1edb GDDR6 48GB t\u1ed1c \u0111\u1ed9 cao<\/b><\/p>\n<p>\u0110\u01b0\u1ee3c x\u00e2y d\u1ef1ng v\u1edbi b\u1ed9 nh\u1edb GDDR6 48GB mang l\u1ea1i th\u00f4ng l\u01b0\u1ee3ng l\u1edbn h\u01a1n 15% cho kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c c\u1ea7n ray-tracing, rendering v\u00e0 AI so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.\u00a0B\u1ed9 nh\u1edb GDDR6 n\u00e0y si\u00eau nhanh, c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng l\u00ean \u0111\u1ebfn 96GB v\u1edbi\u00a0NVLink, mang \u0111\u1ebfn cho c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u, k\u1ef9 s\u01b0 v\u00e0 c\u00e1c chuy\u00ean gia s\u00e1ng t\u1ea1o b\u1ed9 nh\u1edb l\u1edbn c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c b\u1ed9 d\u1eef li\u1ec7u v\u00e0 kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c l\u1edbn nh\u01b0 khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 m\u00f4 ph\u1ecfng.<\/p>\n<p><b>Error Correcting Code (ECC) tr\u00ean b\u1ed9 nh\u1edb \u0111\u1ed3 h\u1ecda<\/b><\/p>\n<p>\u0110\u00e1p \u1ee9ng c\u00e1c y\u00eau c\u1ea7u nghi\u00eam ng\u1eb7t v\u1ec1 t\u00ednh to\u00e0n v\u1eb9n d\u1eef li\u1ec7u cho c\u00e1c \u1ee9ng d\u1ee5ng quan tr\u1ecdng cho c\u00e1c m\u00e1y tr\u1ea1m&#8230;<\/p>\n<p><b>NVLink th\u1ebf h\u1ec7 3<\/b><\/p>\n<p>K\u1ebft n\u1ed1i hai GPU A40 v\u1edbi nhau \u0111\u1ec3 m\u1edf r\u1ed9ng t\u1eeb 48GB b\u1ed9 nh\u1edb GPU l\u00ean 96GB.\u00a0B\u0103ng th\u00f4ng k\u1ebft n\u1ed1i gi\u1eefa GPU v\u1edbi GPU t\u0103ng l\u00ean cung c\u1ea5p m\u1ed9t b\u1ed9 nh\u1edb c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng \u0111\u1ec3 t\u0103ng t\u1ed1c \u0111\u1ed3 h\u1ecda v\u00e0 t\u00ednh to\u00e1n kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c c\u0169ng nh\u01b0 gi\u1ea3i quy\u1ebft c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn h\u01a1n.\u00a0\u0110\u1ea7u n\u1ed1i NVLink m\u1edbi, nh\u1ecf g\u1ecdn h\u01a1n cho ph\u00e9p th\u1ef1c hi\u1ec7n ch\u1ee9c n\u0103ng trong nhi\u1ec1u lo\u1ea1i m\u00e1y ch\u1ee7 h\u01a1n.<\/p>\n<p><b>S\u1eb5n s\u00e0ng cho \u1ea3o h\u00f3a m\u1eadt \u0111\u1ed9 cao<\/b><\/p>\n<p>Nh\u1eefng c\u1ea3i ti\u1ebfn th\u1ebf h\u1ec7 ti\u1ebfp theo v\u1edbi\u00a0<strong>ph\u1ea7n m\u1ec1m GPU \u1ea3o NVIDIA (vGPU)<\/strong>\u00a0cho ph\u00e9p t\u1ea1o ra c\u00e1c phi\u00ean b\u1ea3n m\u00e1y tr\u1ea1m \u1ea3o l\u1edbn h\u01a1n, m\u1ea1nh m\u1ebd h\u01a1n cho ng\u01b0\u1eddi d\u00f9ng t\u1eeb xa, cho ph\u00e9p thi\u1ebft k\u1ebf t\u1eeb xa cao c\u1ea5p, AI v\u00e0 kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c t\u00ednh to\u00e1n<\/p>\n<p><b>Hi\u1ec7u qu\u1ea3 v\u00e0 b\u1ea3o m\u1eadt cao cho trung t\u00e2m d\u1eef li\u1ec7u<\/b><\/p>\n<p>V\u1edbi thi\u1ebft k\u1ebf hai khe c\u1eafm, ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng, NVIDIA A40 ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng g\u1ea5p 2 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc v\u00e0 t\u01b0\u01a1ng th\u00edch v\u1edbi nhi\u1ec1u lo\u1ea1i m\u00e1y ch\u1ee7 t\u1eeb c\u00e1c nh\u00e0 cung c\u1ea5p tr\u00ean to\u00e0n th\u1ebf gi\u1edbi.\u00a0NVIDIA A40 c\u0169ng bao g\u1ed3m chip CEC 1712 cho ph\u00e9p kh\u1edfi \u0111\u1ed9ng an to\u00e0n v\u00e0 \u0111\u01b0\u1ee3c \u0111o l\u01b0\u1eddng v\u1edbi ph\u1ea7n c\u1ee9ng g\u1ed1c \u0111\u00e1ng tin c\u1eady, \u0111\u1ea3m b\u1ea3o r\u1eb1ng ph\u1ea7n s\u1ee5n kh\u00f4ng b\u1ecb gi\u1ea3 m\u1ea1o ho\u1eb7c b\u1ecb h\u1ecfng.<\/p>\n<h2>H\u1ed7 tr\u1ee3 v\u1ec1 ph\u1ea7n m\u1ec1m<\/h2>\n<p><b>Ph\u1ea7n m\u1ec1m NVIDIA Virtual GPU<\/b><\/p>\n<p>H\u1ed7 tr\u1ee3 ph\u1ea7n m\u1ec1m NVIDIA Virtual GPU (vGPU) cho ph\u00e9p m\u00e1y tr\u1ea1m c\u00e1 nh\u00e2n \u0111\u01b0\u1ee3c t\u00e1i \u0111\u1ecbnh v\u1ecb th\u00e0nh nhi\u1ec1u phi\u00ean b\u1ea3n m\u00e1y tr\u1ea1m \u1ea3o hi\u1ec7u su\u1ea5t cao cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng t\u1eeb xa chia s\u1ebb t\u00e0i nguy\u00ean \u0111\u1ec3 th\u00fac \u0111\u1ea9y thi\u1ebft k\u1ebf cao c\u1ea5p, AI v\u00e0 t\u00ednh to\u00e1n kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c.<\/p>\n<p><b>NVIDIA\u00ae Quadro Experience<\/b><\/p>\n<p>Quadro Experience cung c\u1ea5p m\u1ed9t b\u1ed9 c\u00f4ng c\u1ee5 n\u0103ng su\u1ea5t cho m\u00e1y tr\u1ea1m \u0111\u1ec3 b\u00e0n c\u1ee7a b\u1ea1n, bao g\u1ed3m ghi 4K, c\u1ea3nh b\u00e1o t\u1ef1 \u0111\u1ed9ng v\u1ec1 c\u00e1c b\u1ea3n c\u1eadp nh\u1eadt tr\u00ecnh \u0111i\u1ec1u khi\u1ec3n Quadro m\u1edbi nh\u1ea5t v\u00e0 truy c\u1eadp c\u00e1c t\u00ednh n\u0103ng ch\u01a1i game.<\/p>\n<p><b>Ph\u1ea7n m\u1ec1m \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho AI<\/b><\/p>\n<p>C\u00e1c khu\u00f4n kh\u1ed5 h\u1ecdc t\u1eadp s\u00e2u nh\u01b0 Caffe2, MXNet, CNTK, TensorFlow v\u00e0 c\u00e1c khu\u00f4n kh\u1ed5 kh\u00e1c mang l\u1ea1i th\u1eddi gian \u0111\u00e0o t\u1ea1o nhanh h\u01a1n \u0111\u00e1ng k\u1ec3 v\u00e0 hi\u1ec7u su\u1ea5t \u0111\u00e0o t\u1ea1o \u0111a n\u00fat cao h\u01a1n. C\u00e1c th\u01b0 vi\u1ec7n t\u0103ng t\u1ed1c GPU nh\u01b0 cuDNN, cuBLAS v\u00e0 TensorRT mang l\u1ea1i hi\u1ec7u su\u1ea5t cao h\u01a1n cho c\u1ea3 \u1ee9ng d\u1ee5ng suy lu\u1eadn h\u1ecdc s\u00e2u v\u00e0 M\u00e1y t\u00ednh hi\u1ec7u su\u1ea5t cao (HPC).<\/p>\n<p><b>N\u1ec1n t\u1ea3ng NVIDIA\u00ae CUDA\u00ae Parallel Computing<\/b><\/p>\n<p>Th\u1ef1c thi nguy\u00ean b\u1ea3n c\u00e1c ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh ti\u00eau chu\u1ea9n nh\u01b0 C \/ C ++ v\u00e0 Fortran v\u00e0 c\u00e1c API nh\u01b0 OpenCL, OpenACC v\u00e0 Direct Compute \u0111\u1ec3 t\u0103ng t\u1ed1c c\u00e1c k\u1ef9 thu\u1eadt nh\u01b0 &#8220;ray-tracing&#8221;, x\u1eed l\u00fd video v\u00e0 h\u00ecnh \u1ea3nh c\u0169ng nh\u01b0 t\u00ednh to\u00e1n \u0111\u1ed9ng l\u1ef1c h\u1ecdc.<\/p>\n<p><b>NVIDIA\u00ae GPUDirect d\u00e0nh cho video<\/b><\/p>\n<p>GPUDirect cho t\u1ed1c \u0111\u1ed9 Video giao ti\u1ebfp gi\u1eefa GPU v\u00e0 c\u00e1c thi\u1ebft b\u1ecb I \/ O video b\u1eb1ng c\u00e1ch tr\u00e1nh c\u00e1c b\u1ea3n sao b\u1ed9 nh\u1edb h\u1ec7 th\u1ed1ng kh\u00f4ng c\u1ea7n thi\u1ebft v\u00e0 chi ph\u00ed CPU cao.<\/p>\n<p><b>NVIDIA Enterprise-Management Tools<\/b><\/p>\n<p>T\u1ed1i \u0111a h\u00f3a th\u1eddi gian ho\u1ea1t \u0111\u1ed9ng c\u1ee7a h\u1ec7 th\u1ed1ng, qu\u1ea3n l\u00fd li\u1ec1n m\u1ea1ch c\u00e1c tri\u1ec3n khai tr\u00ean quy m\u00f4 r\u1ed9ng v\u00e0 \u0111i\u1ec1u khi\u1ec3n t\u1eeb xa c\u00e1c c\u00e0i \u0111\u1eb7t \u0111\u1ed3 h\u1ecda v\u00e0 hi\u1ec3n th\u1ecb \u0111\u1ec3 c\u00f3 c\u00e1c ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3.<\/p>\n<div>\n<div class=\"page-section-textpar textcomponentenhanced\">\n<div id=\"page_section_textpar5ad0966e_2d74_4dcc_b83e_b1879b79ccf6\">\n<div class=\"general-container-text small-12 mob-p-content medium-12 tab-p-content large-12 lap-p-content large-12 d-p-content p-t-0 p-b-45 lap-p-t-0 lap-p-b-45 tab-p-t-0 tab-p-b-45 mob-p-t-0 mob-p-b-45 \">\n<div class=\"text-center lap-text-center tab-text-center mob-text-center\">\n<h2>Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt<\/h2>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<table class=\"table sheet\">\n<tbody>\n<tr>\n<td colspan=\"2\" width=\"307\">Architecture<\/td>\n<td width=\"308\">Ampere<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Foundry<\/td>\n<td width=\"308\">Samsung<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Process Size<\/td>\n<td width=\"308\">8nm<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Transistors<\/td>\n<td width=\"308\">28.3 billion<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Die Size<\/td>\n<td width=\"308\">628.4 mm<sup>2<\/sup><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">CUDA Parallel Processing Cores<\/td>\n<td>10,752<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NVIDIA Tensor Cores (3<sup>rd<\/sup>\u00a0Gen)<\/td>\n<td>336<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NVIDIA RT Cores (2<sup>nd<\/sup>\u00a0Gen)<\/td>\n<td>84<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">GPU Memory<\/td>\n<td width=\"308\">48 GB GDDR6 with ECC<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Memory Interface<\/td>\n<td width=\"308\">384-bit<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Memory Bandwidth<\/td>\n<td width=\"308\">696 GB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NVLink<\/td>\n<td width=\"308\">2-way low profile (2-slot)<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NVLink Interconnect<\/td>\n<td width=\"308\">NVIDIA NVLink 112.5 GB\/s (bidirectional)<br \/>\nPCIe Gen4 16 GB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Max Power Consumption<\/td>\n<td width=\"308\">300W<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Graphics Bus<\/td>\n<td width=\"308\">PCI Express 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Display Connectors<\/td>\n<td width=\"308\">DP 1.4 (3)<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Form Factor<\/td>\n<td width=\"308\">4.4\u201d H x 10.5\u201d L Dual Slot<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Product Weight<\/td>\n<td width=\"308\">987g<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Thermal Solution<\/td>\n<td width=\"308\">Passive<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">vGPU Software Support<\/td>\n<td width=\"308\">NVIDIA GRID<sup>\u00ae<\/sup>, NVIDIA Quadro<sup>\u00ae<\/sup>\u00a0Virtual Data Center Workstation, NVIDIA Virtual Compute Server*<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">vGPU Profiles Supported<\/td>\n<td width=\"308\">1 GB, 2 GB, 3 GB, 4 GB, 6 GB, 8 GB, 12 GB, 16<br \/>\nGB, 24 GB, 48 GB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NVIDIA\u00ae 3D Vision\u00ae and 3D Vision Pro<\/td>\n<td width=\"308\">Support via 3 pin mini DIN<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Frame lock<\/td>\n<td width=\"308\">Compatible (with Quadro Sync II)<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Power Connector<\/td>\n<td width=\"308\">1x 8-pin CPU<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NVENC | NVDEC<\/td>\n<td width=\"308\">1x ENC | 2x DEC (includes AV1 decode)<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">NEBS Ready<\/td>\n<td width=\"308\">Level 3<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" width=\"307\">Secure and Measured Boot with HW Root of<br \/>\nTrust<\/td>\n<td width=\"308\">CEC 1712<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>B\u1ea3n so s\u00e1nh hi\u1ec7u n\u0103ng gi\u1eefa c\u00e1c d\u00f2ng GPU<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" width=\"664\" height=\"815\" class=\"alignnone size-full wp-image-9215\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-2.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-2.png 664w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-2-244x300.png 244w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-2-33x40.png 33w\" sizes=\"auto, (max-width: 664px) 100vw, 664px\" \/><\/p>\n<h3>Nh\u1eefng \u0111i\u1ec3m n\u1ed5i b\u1eadt b\u00ean trong ki\u1ebfn tr\u00fac c\u1ee7a b\u1ed9 t\u0103ng t\u1ed1c NVIDIA A40<\/h3>\n<h4>Ki\u1ebfn tr\u00fac NVIDIA Ampere CUDA Cores<\/h4>\n<div class=\"row\">\n<div class=\"col-lg-4 col-sm-12\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" class=\"size-full wp-image-9217 aligncenter\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-3.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-3.png 150w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-3-40x40.png 40w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/div>\n<div class=\"col-lg-8 col-sm-12\"><span style=\"background-color: #ffffff;\">X\u1eed l\u00fd\u00a0ph\u00e9p to\u00e1n FP32 v\u1edbi t\u1ed1c \u0111\u1ed9 g\u1ea5p \u0111\u00f4i v\u00e0 hi\u1ec7u su\u1ea5t ti\u00eau th\u1ee5 n\u0103ng l\u01b0\u1ee3ng \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n, mang l\u1ea1i hi\u1ec7u su\u1ea5t \u0111\u00e1ng k\u1ec3 trong \u0111\u1ed3 h\u1ecda v\u00e0 quy tr\u00ecnh t\u00ednh to\u00e1n, ch\u1eb3ng h\u1ea1n nh\u01b0\u00a0thi\u1ebft k\u1ebf\u00a03D computer-aided design (CAD) v\u00e0 computer-aided engineering (CAE).<\/span><\/div>\n<\/div>\n<h4>RT Cores Th\u1ebf h\u1ec7 Th\u1ee9 2<\/h4>\n<div class=\"row\">\n<div class=\"col-lg-4 col-sm-12\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" class=\"size-full wp-image-9218 aligncenter\" style=\"background-color: #ffffff;\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-4.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-4.png 150w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-4-40x40.png 40w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/div>\n<div class=\"col-lg-8 col-sm-12\"><span style=\"background-color: #ffffff;\">V\u1edbi th\u00f4ng l\u01b0\u1ee3ng \u0111\u01b0\u1ee3c n\u00e2ng l\u00ean g\u1ea5p 2 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc v\u00e0 kh\u1ea3 n\u0103ng \u0111\u1ed3ng th\u1eddi ch\u1ea1y Ray Tracing v\u1edbi kh\u1ea3 n\u0103ng \u0111\u1ed5 b\u00f3ng ho\u1eb7c kh\u1eed nhi\u1ec5u, RT Cores th\u1ebf h\u1ec7 th\u1ee9 hai cung c\u1ea5p t\u1ed1c \u0111\u1ed9 l\u1edbn cho c\u00e1c workload nh\u01b0 k\u1ebft xu\u1ea5t \u1ea3nh th\u1ef1c cho phim, l\u01b0\u1ee3ng gi\u00e1 thi\u1ebft k\u1ebf ki\u1ebfn tr\u00fac v\u00e0 t\u1ea1o m\u1eabu \u1ea3o c\u1ee7a thi\u1ebft k\u1ebf s\u1ea3n ph\u1ea9m. C\u00f4ng ngh\u1ec7 n\u00e0y c\u0169ng t\u0103ng t\u1ed1c \u0111\u1ed9 ray-traced motion blur \u0111\u1ec3 c\u00f3 k\u1ebft qu\u1ea3 nhanh h\u01a1n v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c h\u00ecnh \u1ea3nh cao h\u01a1n.<\/span><\/div>\n<\/div>\n<h4>Tensor Cores Th\u1ebf h\u1ec7 Th\u1ee9 3<\/h4>\n<div class=\"row\">\n<div class=\"col-lg-4 col-sm-12\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" class=\"size-full wp-image-9219 aligncenter\" style=\"background-color: #ffffff;\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-5.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-5.png 150w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-5-40x40.png 40w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/div>\n<div class=\"col-lg-8 col-sm-12\"><span style=\"background-color: #ffffff;\">\u0110\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a Tensor Float 32 (TF32) cung c\u1ea5p th\u00f4ng l\u01b0\u1ee3ng training l\u00ean g\u1ea5p 5 l\u1ea7n so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc \u0111\u00f3 \u0111\u1ec3 t\u0103ng t\u1ed1c \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 AI m\u00e0 kh\u00f4ng c\u00f3 b\u1ea5t k\u1ef3 thay \u0111\u1ed5i n\u00e0o v\u1ec1 m\u00e3. H\u1ed7 tr\u1ee3 ph\u1ea7n c\u1ee9ng cho c\u1ea5u tr\u00fac r\u1eddi r\u1ea1c (sparsity) cung c\u1ea5p g\u1ea5p \u0111\u00f4i th\u00f4ng l\u01b0\u1ee3ng cho suy lu\u1eadn AI (inference). Tensor Cores c\u0169ng mang AI v\u00e0o \u0111\u1ed3 h\u1ecda v\u1edbi c\u00e1c kh\u1ea3 n\u0103ng nh\u01b0 <a class=\"iblink\" href=\"\/blog\/tag\/deep-learning\/\">deep learning<\/a> super sampling (DLSS), kh\u1eed nhi\u1ec5u AI v\u00e0 ch\u1ec9nh s\u1eeda n\u00e2ng cao cho c\u00e1c \u1ee9ng d\u1ee5ng \u0111\u01b0\u1ee3c ch\u1ecdn.<\/span><\/div>\n<\/div>\n<h4>B\u1ed9 nh\u1edb GDDR6 48GB h\u1ed7 tr\u1ee3 NVLINK<\/h4>\n<div class=\"row\">\n<div class=\"col-lg-4 col-sm-12\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" class=\"size-full wp-image-9220 aligncenter\" style=\"background-color: #ffffff;\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-6.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-6.png 150w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-6-40x40.png 40w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/div>\n<div class=\"col-lg-8 col-sm-12\"><span style=\"background-color: #ffffff;\">B\u1ed9 nh\u1edb GDDR6 c\u1ef1c nhanh, c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng l\u00ean \u0111\u1ebfn 96GB v\u1edbi NVLink 3, mang \u0111\u1ebfn cho c\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u, k\u1ef9 s\u01b0 v\u00e0 c\u00e1c chuy\u00ean gia s\u00e1ng t\u1ea1o b\u1ed9 nh\u1edb l\u1edbn c\u1ea7n thi\u1ebft \u0111\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c b\u1ed9 d\u1eef li\u1ec7u v\u00e0 kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c kh\u1ed5ng l\u1ed3 nh\u01b0 khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 m\u00f4 ph\u1ecfng.<\/span><\/div>\n<\/div>\n<h4>PCIe Express Gen 4<\/h4>\n<div class=\"row\">\n<div class=\"col-lg-4 col-sm-12\"><img loading=\"lazy\" decoding=\"async\" width=\"135\" height=\"129\" class=\"size-full wp-image-9221 aligncenter\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-7.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-7.png 135w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-7-40x38.png 40w\" sizes=\"auto, (max-width: 135px) 100vw, 135px\" \/><\/div>\n<div class=\"col-lg-8 col-sm-12\"><span style=\"background-color: #ffffff;\">PCI Express Gen 4 t\u0103ng g\u1ea5p \u0111\u00f4i b\u0103ng th\u00f4ng c\u1ee7a PCIe Gen 3, c\u1ea3i thi\u1ec7n t\u1ed1c \u0111\u1ed9 truy\u1ec1n d\u1eef li\u1ec7u t\u1eeb b\u1ed9 nh\u1edb CPU cho c\u00e1c t\u00e1c v\u1ee5 \u0111\u00f2i h\u1ecfi nhi\u1ec1u d\u1eef li\u1ec7u nh\u01b0 AI, khoa h\u1ecdc d\u1eef li\u1ec7u v\u00e0 thi\u1ebft k\u1ebf 3D. Hi\u1ec7u su\u1ea5t PCIe nhanh h\u01a1n c\u0169ng t\u0103ng t\u1ed1c c\u00e1c truy c\u1eadp GPU Direct Memory Access (DMA), cung c\u1ea5p I\/O nhanh h\u01a1n cho d\u1eef li\u1ec7u video gi\u1eefa GPU v\u00e0 thi\u1ebft b\u1ecb h\u1ed7 tr\u1ee3 &#8220;GPUDirect \u00ae For Video&#8221; \u0111\u1ec3 cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p m\u1ea1nh m\u1ebd cho truy\u1ec1n h\u00ecnh tr\u1ef1c ti\u1ebfp. A40 cho ph\u00e9p t\u01b0\u01a1ng th\u00edch ng\u01b0\u1ee3c v\u1edbi PCI Express Gen 3.<\/span><\/div>\n<\/div>\n<h4>Hi\u1ec7u qu\u1ea3 v\u00e0 B\u1ea3o m\u1eadt cho Trung t\u00e2m D\u1eef li\u1ec7u<\/h4>\n<div class=\"row\">\n<div class=\"col-lg-4 col-sm-12\"><img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" class=\"size-full wp-image-9222 aligncenter\" src=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-8.png\" srcset=\"https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-8.png 150w, https:\/\/thegioimaychu.vn\/blog\/wp-content\/uploads\/2021\/05\/TheGioiMayChu-Blog-Image-1-8-40x40.png 40w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/div>\n<div class=\"col-lg-8 col-sm-12\"><span style=\"background-color: #ffffff;\">V\u1edbi thi\u1ebft k\u1ebf hai khe c\u1eafm, ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng, NVIDIA A40 ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng g\u1ea5p 2 l\u1ea7n th\u1ebf h\u1ec7 tr\u01b0\u1edbc v\u00e0 t\u01b0\u01a1ng th\u00edch v\u1edbi nhi\u1ec1u lo\u1ea1i m\u00e1y ch\u1ee7 t\u1eeb c\u00e1c h\u1ec7 th\u1ed1ng OEM tr\u00ean to\u00e0n th\u1ebf gi\u1edbi. NVIDIA A40 bao g\u1ed3m kh\u1ea3 n\u0103ng kh\u1edfi \u0111\u1ed9ng an to\u00e0n v\u00e0 \u0111\u01b0\u1ee3c \u0111o l\u01b0\u1eddng v\u1edbi c\u00f4ng ngh\u1ec7 Root-of-Trust, \u0111\u1ea3m b\u1ea3o r\u1eb1ng firmware kh\u00f4ng b\u1ecb gi\u1ea3 m\u1ea1o ho\u1eb7c b\u1ecb h\u1ecfng.<\/span><\/div>\n<\/div>\n<h3 class=\"featured\">C\u1ea5u h\u00ecnh tham kh\u1ea3o<\/h3>\n<p><em>C\u00e1c m\u00e1y ch\u1ee7 <a class=\"iblink\" href=\"\/supermicro\/\">Supermicro<\/a> ph\u00f9 h\u1ee3p l\u1eafp \u0111\u1eb7t <a class=\"iblink\" href=\"\/linh-kien-may-chu\/gpu-card-may-chu\/\">card GPU<\/a> NVIDIA A40 \u0111\u01b0\u1ee3c Th\u1ebf Gi\u1edbi M\u00e1y Ch\u1ee7 l\u1ef1a ch\u1ecdn.<\/em><\/p>\n<table class=\"table\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;System&quot;}\"><strong>System<\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;CPU&quot;}\"><strong>CPU<\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;RAM&quot;}\"><strong>RAM<\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SSD&quot;}\"><strong>SSD<\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;GPU&quot;}\"><strong>GPU<\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Ghi ch\u00fa&quot;}\"><strong>Ghi ch\u00fa<\/strong><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Gi\u00e1&quot;}\"><strong>Gi\u00e1<\/strong><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;AS-2024US-TRT&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=AS-2024US-TRT&qt=sku&ref=tmsol\" class=\"sku-link\">AS-2024US-TRT<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Milan 7313&quot;}\">2x Milan 7313<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;128GB&quot;}\">128GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x NVIDIA A40&quot;}\">2x NVIDIA A40<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Option Cable Power + GPU Kit&quot;}\">Option Cable Power + GPU Kit<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-7049GP-TRT&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-7049GP-TRT&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-7049GP-TRT<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Gold 5218R&quot;}\">2x Gold 5218R<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;128GB&quot;}\">128GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;4x NVIDIA A40&quot;}\">4x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-740GP-TNRT&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-740GP-TNRT&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-740GP-TNRT<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Silver 4316&quot;}\">2x Silver 4316<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;128GB&quot;}\">128GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;4x NVIDIA A40&quot;}\">4x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-120GQ-TNRT&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-120GQ-TNRT&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-120GQ-TNRT<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Silver 4316&quot;}\">2x Silver 4316<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;128GB&quot;}\">128GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;4x NVIDIA A40&quot;}\">4x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-2029GP-TR&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-2029GP-TR&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-2029GP-TR<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Gold 5218R&quot;}\">2x Gold 5218R<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;256GB&quot;}\">256GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;6x NVIDIA A40&quot;}\">6x NVIDIA A40<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Option SIOM Card&quot;}\">Option SIOM Card<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-220GP-TNR&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-220GP-TNR&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-220GP-TNR<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Silver 4316&quot;}\">2x Silver 4316<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;256GB&quot;}\">256GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;6x NVIDIA A40&quot;}\">6x NVIDIA A40<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Option SIOM Card&quot;}\">Option SIOM Card<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-4029GP-TRT&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-4029GP-TRT&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-4029GP-TRT<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Gold 5218R&quot;}\">2x Gold 5218R<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;512GB&quot;}\">512GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;8x NVIDIA A40&quot;}\">8x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-4029GP-TRT3&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-4029GP-TRT3&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-4029GP-TRT3<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Gold 5218R&quot;}\">2x Gold 5218R<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;512GB&quot;}\">512GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;9x NVIDIA A40&quot;}\">9x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-4029GP-TRT2&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-4029GP-TRT2&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-4029GP-TRT2<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Gold 5218R&quot;}\">2x Gold 5218R<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;512GB&quot;}\">512GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;10x NVIDIA A40&quot;}\">10x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SYS-420GP-TNR&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=SYS-420GP-TNR&qt=sku&ref=tmsol\" class=\"sku-link\">SYS-420GP-TNR<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Gold 5320&quot;}\">2x Gold 5320<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;512GB&quot;}\">512GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;10x NVIDIA A40&quot;}\">10x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;AS-4124GS-TNR&quot;}\"><a href=\"https:\/\/thegioimaychu.vn\/search\/?search=AS-4124GS-TNR&qt=sku&ref=tmsol\" class=\"sku-link\">AS-4124GS-TNR<\/a><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x Milan 7443&quot;}\">2x Milan 7443<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;512GB&quot;}\">512GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;2x 480GB&quot;}\">2x 480GB<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;8x NVIDIA A40&quot;}\">8x NVIDIA A40<\/td>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Li\u00ean h\u1ec7&quot;}\">Li\u00ean h\u1ec7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u2192 Xem th\u00eam: <a href=\"https:\/\/thegioimaychu.vn\/linh-kien-may-chu\/gpu-card-may-chu\/\">C\u00e1c s\u1ea3n ph\u1ea9m GPU NVIDIA<\/a><\/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>GPU NVIDIA A40 l&agrave; m&#7897;t b&#432;&#7899;c &#273;&#7897;t ph&aacute; v&#7873; hi&#7879;u su&#7845;t v&agrave; kh&#7843; n&#259;ng k&#7871;t h&#7907;p multi-workload trong trung t&acirc;m d&#7919; li&#7879;u, k&#7871;t h&#7907;p n&#259;ng l&#7921;c &#273;&#7891; h&#7885;a m&#7841;nh m&#7869; nh&#7845;t, c&ugrave;ng v&#7899;i kh&#7843; n&#259;ng t&#259;ng t&#7889;c x&#7917; l&yacute; cho AI &#273;&#7875; &#273;&aacute;p &#7913;ng c&aacute;c y&ecirc;u c&#7847;u v&#7873; thi&#7871;t k&#7871;, s&aacute;ng t&#7841;o v&agrave; nghi&ecirc;n c&#7913;u&#8230;<\/p>\n","protected":false},"author":17,"featured_media":7192,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[44,1],"tags":[475,316,671,1314],"class_list":["post-7185","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product","category-tong-hop","tag-a40","tag-ampere","tag-gpu","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 GPU NVIDIA A40: d\u00f2ng GPU m\u1ea1nh m\u1ebd nh\u1ea5t cho Data Center, Cloud v\u00e0 c\u1ea3 Desktop - 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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