{"id":24544,"date":"2026-05-08T10:25:51","date_gmt":"2026-05-08T03:25:51","guid":{"rendered":"https:\/\/vnso.vn\/?p=24544"},"modified":"2026-05-08T10:25:51","modified_gmt":"2026-05-08T03:25:51","slug":"nvidia-a40-la-gi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvidia-a40-la-gi\/","title":{"rendered":"NVIDIA A40 l\u00e0 g\u00ec? Ph\u00e2n t\u00edch chi ti\u1ebft GPU AI t\u1eeb A-Z"},"content":{"rendered":"<p style=\"text-align: justify;\">Trong khi H100 hay Blackwell \u0111ang thu h\u00fat ph\u1ea7n l\u1edbn s\u1ef1 ch\u00fa \u00fd c\u1ee7a th\u1ecb tr\u01b0\u1eddng AI, nhi\u1ec1u doanh nghi\u1ec7p th\u1ef1c t\u1ebf v\u1eabn tri\u1ec3n khai NVIDIA A40. NVIDIA A40 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u00f4i tr\u01b0\u1eddng m\u00e1y ch\u1ee7 ho\u1ea1t \u0111\u1ed9ng li\u00ean t\u1ee5c 24\/7.<\/p>\n<p style=\"text-align: justify;\">GPU n\u00e0y \u0111\u01b0\u1ee3c NVIDIA \u0111\u1ecbnh v\u1ecb cho AI inference, virtual workstation, rendering v\u00e0 c\u00e1c workload doanh nghi\u1ec7p y\u00eau c\u1ea7u \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh cao. D\u00f9 kh\u00f4ng n\u1ed5i ti\u1ebfng nh\u01b0 A100 hay H100, A40 v\u1eabn \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 l\u00e0 m\u1ed9t trong nh\u1eefng GPU \u201call-rounder\u201d m\u1ea1nh nh\u1ea5t c\u1ee7a th\u1ebf h\u1ec7 Ampere.<\/p>\n<p style=\"text-align: justify;\">GPU n\u00e0y \u0111\u01b0\u1ee3c nhi\u1ec1u doanh nghi\u1ec7p l\u1ef1a ch\u1ecdn nh\u1edd VRAM kh\u00e1 cao, hi\u1ec7u n\u0103ng m\u1ea1nh v\u00e0 chi ph\u00ed \u0111\u1ea7u t\u01b0 th\u1ea5p h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi c\u00e1c GPU AI ph\u1ed5 bi\u1ebfn. B\u00e0i vi\u1ebft n\u00e0y s\u1ebd ph\u00e2n t\u00edch chi ti\u1ebft t\u1ea5t c\u1ea3 nh\u1eefng g\u00ec b\u1ea1n c\u1ea7n bi\u1ebft t\u1eeb A-Z v\u1ec1 GPU NVIDIA A40.<\/p>\n<h2 style=\"text-align: justify;\" data-section-id=\"1b16c09\" data-start=\"836\" data-end=\"862\">NVIDIA A40 48GB l\u00e0 g\u00ec?<\/h2>\n<p style=\"text-align: justify;\" data-start=\"864\" data-end=\"1226\">NVIDIA A40 l\u00e0 GPU datacenter thu\u1ed9c ki\u1ebfn tr\u00fac <strong>Ampere<\/strong> t\u1eeb NVIDIA, ra m\u1eaft cu\u1ed1i n\u0103m 2020 v\u00e0 \u0111\u01b0\u1ee3c \u0111\u1ecbnh v\u1ecb cho c\u00e1c t\u00e1c v\u1ee5 AI. Theo NVIDIA, A40 l\u00e0 GPU trung t\u00e2m d\u1eef li\u1ec7u d\u00e0nh cho visual computing, AI inference v\u00e0 workstation \u1ea3o chuy\u00ean nghi\u1ec7p. A40 \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n theo h\u01b0\u1edbng \u201c\u0111a workload\u201d, t\u1ee9c c\u00f3 th\u1ec3 x\u1eed l\u00fd nhi\u1ec1u t\u00e1c v\u1ee5 kh\u00e1c nhau trong c\u00f9ng h\u1ec7 th\u1ed1ng server.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1228\" data-end=\"1614\">GPU s\u1eed d\u1ee5ng ki\u1ebfn tr\u00fac GA102 t\u01b0\u01a1ng t\u1ef1 RTX 3090 v\u00e0 RTX A6000 nh\u01b0ng \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u cho m\u00f4i tr\u01b0\u1eddng datacenter v\u1edbi ECC memory, enterprise driver v\u00e0 thi\u1ebft k\u1ebf passive cooling (l\u00e0m m\u00e1t th\u1ee5 \u0111\u1ed9ng) d\u00e0nh cho rack server.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1616\" data-end=\"1908\">\u0110i\u1ec3m quan tr\u1ecdng nh\u1ea5t c\u1ee7a A40 n\u1eb1m \u1edf vi\u1ec7c GPU v\u1eabn gi\u1eef \u0111\u1ea7y \u0111\u1ee7 RT Core v\u00e0 Tensor Core thay v\u00ec c\u1eaft gi\u1ea3m kh\u1ea3 n\u0103ng \u0111\u1ed3 h\u1ecda nh\u01b0 nhi\u1ec1u GPU AI chuy\u00ean d\u1ee5ng kh\u00e1c. \u0110i\u1ec1u n\u00e0y gi\u00fap A40 v\u1eeba x\u1eed l\u00fd AI v\u1eeba render 3D ho\u1eb7c tri\u1ec3n khai virtual workstation hi\u1ec7u qu\u1ea3 trong c\u00f9ng m\u1ed9t n\u1ec1n t\u1ea3ng.<\/p>\n<p style=\"text-align: justify;\" data-start=\"1616\" data-end=\"1908\"><strong>&gt;&gt;&gt; Xem th\u00eam D\u1ecbch v\u1ee5 <a href=\"https:\/\/vnso.vn\/en\/nvidia-a40-gpu-48gb-gddr6\/\">Thu\u00ea NVIDIA A40 GPU 48GB GDDR6<\/a><\/strong><\/p>\n<h2 style=\"text-align: justify;\" data-section-id=\"6tdbrw\" data-start=\"2781\" data-end=\"2812\"><a href=\"https:\/\/thuegpu.vnso.vn\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-24557\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/NVIDIA-A40-48GB-la-gi.jpg\" alt=\"NVIDIA A40 48GB l\u00e0 g\u00ec\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/NVIDIA-A40-48GB-la-gi.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/NVIDIA-A40-48GB-la-gi-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/NVIDIA-A40-48GB-la-gi-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/NVIDIA-A40-48GB-la-gi-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/NVIDIA-A40-48GB-la-gi-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/h2>\n<h2 style=\"text-align: justify;\" data-section-id=\"6tdbrw\" data-start=\"2781\" data-end=\"2812\">B\u1ea3ng th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt \u0111\u1ea7y \u0111\u1ee7 c\u1ee7a GPU NVIDIA A40<\/h2>\n<table style=\"height: 1201px;\" width=\"514\">\n<thead>\n<tr>\n<th>Th\u00f4ng s\u1ed1<\/th>\n<th>NVIDIA A40<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Ki\u1ebfn tr\u00fac GPU<\/td>\n<td>NVIDIA Ampere<\/td>\n<\/tr>\n<tr>\n<td>GPU Die<\/td>\n<td>GA102<\/td>\n<\/tr>\n<tr>\n<td>Ti\u1ebfn tr\u00ecnh s\u1ea3n xu\u1ea5t<\/td>\n<td>Samsung 8nm<\/td>\n<\/tr>\n<tr>\n<td>S\u1ed1 transistor<\/td>\n<td>28.3 t\u1ef7<\/td>\n<\/tr>\n<tr>\n<td>CUDA Cores<\/td>\n<td>10.752<\/td>\n<\/tr>\n<tr>\n<td>Tensor Cores<\/td>\n<td>336<\/td>\n<\/tr>\n<tr>\n<td>RT Cores<\/td>\n<td>84<\/td>\n<\/tr>\n<tr>\n<td>SM Count<\/td>\n<td>84<\/td>\n<\/tr>\n<tr>\n<td>VRAM<\/td>\n<td>48GB GDDR6 ECC<\/td>\n<\/tr>\n<tr>\n<td>Memory Bus<\/td>\n<td>384-bit<\/td>\n<\/tr>\n<tr>\n<td>Memory Speed<\/td>\n<td>14.5 Gbps<\/td>\n<\/tr>\n<tr>\n<td>Memory Bandwidth<\/td>\n<td>696 GB\/s<\/td>\n<\/tr>\n<tr>\n<td>Base Clock<\/td>\n<td>1305 MHz<\/td>\n<\/tr>\n<tr>\n<td>Boost Clock<\/td>\n<td>1740 MHz<\/td>\n<\/tr>\n<tr>\n<td>FP32 Performance<\/td>\n<td>37.4 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>FP16 Performance<\/td>\n<td>37.4 TFLOPS<\/td>\n<\/tr>\n<tr>\n<td>FP64 Performance<\/td>\n<td>584.6 GFLOPS<\/td>\n<\/tr>\n<tr>\n<td>PCIe Interface<\/td>\n<td>PCIe 4.0 x16<\/td>\n<\/tr>\n<tr>\n<td>NVLink<\/td>\n<td>C\u00f3<\/td>\n<\/tr>\n<tr>\n<td>NVLink Bandwidth<\/td>\n<td>112.5 GB\/s hai chi\u1ec1u<\/td>\n<\/tr>\n<tr>\n<td>H\u1ed7 tr\u1ee3 MIG<\/td>\n<td>Kh\u00f4ng<\/td>\n<\/tr>\n<tr>\n<td>NVENC<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<td>NVDEC<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>H\u1ed7 tr\u1ee3 AV1 Decode<\/td>\n<td>C\u00f3<\/td>\n<\/tr>\n<tr>\n<td>TDP<\/td>\n<td>300W<\/td>\n<\/tr>\n<tr>\n<td>Ngu\u1ed3n ph\u1ee5<\/td>\n<td>8-pin EPS<\/td>\n<\/tr>\n<tr>\n<td>Form Factor<\/td>\n<td>Dual-slot<\/td>\n<\/tr>\n<tr>\n<td>K\u00edch th\u01b0\u1edbc<\/td>\n<td>267 mm x 111 mm<\/td>\n<\/tr>\n<tr>\n<td>Cooling<\/td>\n<td>Passive Cooling<\/td>\n<\/tr>\n<tr>\n<td>Display Output<\/td>\n<td>3 x DisplayPort 1.4a<\/td>\n<\/tr>\n<tr>\n<td>DirectX<\/td>\n<td>DirectX 12 Ultimate<\/td>\n<\/tr>\n<tr>\n<td>OpenGL<\/td>\n<td>4.6<\/td>\n<\/tr>\n<tr>\n<td>Vulkan<\/td>\n<td>1.3<\/td>\n<\/tr>\n<tr>\n<td>CUDA Capability<\/td>\n<td>8.6<\/td>\n<\/tr>\n<tr>\n<td>H\u1ed7 tr\u1ee3 Virtualization<\/td>\n<td>NVIDIA vGPU<\/td>\n<\/tr>\n<tr>\n<td>H\u1ed7 tr\u1ee3 AI Enterprise<\/td>\n<td>C\u00f3<\/td>\n<\/tr>\n<tr>\n<td>Ra m\u1eaft<\/td>\n<td>Th\u00e1ng 10\/2020<\/td>\n<\/tr>\n<tr>\n<td>Nh\u00f3m s\u1ea3n ph\u1ea9m<\/td>\n<td>Data Center GPU<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 style=\"text-align: justify;\" data-start=\"3196\" data-end=\"3394\">T\u1ed5ng quan \u0111i\u1ec3m m\u1ea1nh v\u00e0 \u0111i\u1ec3m y\u1ebfu c\u1ee7a GPU NVIDIA Ampere A40<\/h2>\n<h3 style=\"text-align: justify;\" data-section-id=\"1xfdjul\" data-start=\"0\" data-end=\"25\">L\u1ee3i th\u1ebf c\u1ee7a NVIDIA A40<\/h3>\n<p style=\"text-align: justify;\" data-start=\"27\" data-end=\"264\">\u0110i\u1ec3m m\u1ea1nh l\u1edbn nh\u1ea5t c\u1ee7a NVIDIA A40 n\u1eb1m \u1edf kh\u1ea3 n\u0103ng x\u1eed l\u00fd nhi\u1ec1u t\u00e1c v\u1ee5 trong c\u00f9ng m\u1ed9t h\u1ec7 th\u1ed1ng GPU. GPU v\u1eeba \u0111\u00e1p \u1ee9ng t\u1ed1t inference, v\u1eeba h\u1ed7 tr\u1ee3 rendering, workstation cloud v\u00e0 virtualization m\u00e0 kh\u00f4ng c\u1ea7n tri\u1ec3n khai nhi\u1ec1u h\u1ea1 t\u1ea7ng ri\u00eang bi\u1ec7t.<\/p>\n<p style=\"text-align: justify;\" data-start=\"266\" data-end=\"581\">VRAM 48GB ECC c\u0169ng l\u00e0 l\u1ee3i th\u1ebf r\u1ea5t l\u1edbn khi x\u1eed l\u00fd AI model dung l\u01b0\u1ee3ng cao ho\u1eb7c workload c\u1ea7n \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh li\u00ean t\u1ee5c trong m\u00f4i tr\u01b0\u1eddng datacenter. So v\u1edbi nhi\u1ec1u GPU AI cao c\u1ea5p kh\u00e1c, A40 c\u00f3 m\u1ee9c chi ph\u00ed \u0111\u1ea7u t\u01b0 v\u00e0 \u0111i\u1ec7n n\u0103ng d\u1ec5 ti\u1ebfp c\u1eadn h\u01a1n \u0111\u00e1ng k\u1ec3 nh\u01b0ng v\u1eabn duy tr\u00ec hi\u1ec7u n\u0103ng m\u1ea1nh cho ph\u1ea7n l\u1edbn nhu c\u1ea7u AI doanh nghi\u1ec7p hi\u1ec7n nay.<\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"syyfzf\" data-start=\"583\" data-end=\"608\">H\u1ea1n ch\u1ebf c\u1ee7a NVIDIA A40<\/h3>\n<p style=\"text-align: justify;\" data-start=\"610\" data-end=\"796\">D\u00f9 m\u1ea1nh v\u1ec1 inference v\u00e0 virtualization, NVIDIA A40 kh\u00f4ng ph\u1ea3i GPU t\u1ed1i \u01b0u cho AI training quy m\u00f4 m\u1edf r\u1ed9ng c\u1ef1c cao hyperscale ho\u1eb7c HPC chuy\u00ean s\u00e2u do b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb th\u1ea5p h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi A100 ho\u1eb7c H100.<\/p>\n<p style=\"text-align: justify;\" data-start=\"798\" data-end=\"1046\" data-is-last-node=\"\" data-is-only-node=\"\">GPU c\u0169ng kh\u00f4ng h\u1ed7 tr\u1ee3 MIG n\u00ean kh\u1ea3 n\u0103ng chia nh\u1ecf t\u00e0i nguy\u00ean cho cloud AI enterprise s\u1ebd h\u1ea1n ch\u1ebf h\u01a1n. Ngo\u00e0i ra, thi\u1ebft k\u1ebf passive cooling khi\u1ebfn A40 y\u00eau c\u1ea7u m\u00f4i tr\u01b0\u1eddng rack server c\u00f3 airflow chu\u1ea9n datacenter thay v\u00ec s\u1eed d\u1ee5ng nh\u01b0 GPU desktop th\u00f4ng th\u01b0\u1eddng.<\/p>\n<h2 style=\"text-align: justify;\" data-start=\"3196\" data-end=\"3394\">Ph\u00e2n t\u00edch chi ti\u1ebft c\u1ea5u h\u00ecnh c\u1ee7a NVIDIA A40<\/h2>\n<h3 style=\"text-align: justify;\" data-section-id=\"1t3yqe5\" data-start=\"1910\" data-end=\"1945\">Ki\u1ebfn tr\u00fac Ampere tr\u00ean GPU A40 48GB<\/h3>\n<p style=\"text-align: justify;\" data-start=\"1947\" data-end=\"2266\">NVIDIA A40 s\u1eed d\u1ee5ng ki\u1ebfn tr\u00fac Ampere s\u1ea3n xu\u1ea5t tr\u00ean ti\u1ebfn tr\u00ecnh Samsung 8nm v\u1edbi kho\u1ea3ng 28.3 t\u1ef7 transistor. \u0110\u00e2y l\u00e0 th\u1ebf h\u1ec7 GPU mang l\u1ea1i b\u01b0\u1edbc nh\u1ea3y l\u1edbn v\u1ec1 Tensor Core, ray tracing v\u00e0 hi\u1ec7u n\u0103ng AI so v\u1edbi ki\u1ebfn tr\u00fac Turing tr\u01b0\u1edbc \u0111\u00f3.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2268\" data-end=\"2592\">Ampere c\u0169ng l\u00e0 th\u1ebf h\u1ec7 NVIDIA b\u1eaft \u0111\u1ea7u \u0111\u1ea9y m\u1ea1nh TF32 Tensor Core cho AI training v\u00e0 inference. Tensor Core th\u1ebf h\u1ec7 th\u1ee9 3 tr\u00ean Ampere c\u00f3 th\u1ec3 t\u0103ng throughput AI l\u00ean nhi\u1ec1u l\u1ea7n trong m\u1ed9t s\u1ed1 workload deep learning so v\u1edbi th\u1ebf h\u1ec7 tr\u01b0\u1edbc.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2594\" data-end=\"2779\">Ngo\u00e0i AI, ki\u1ebfn tr\u00fac n\u00e0y c\u00f2n c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u n\u0103ng ray tracing nh\u1edd RT Core th\u1ebf h\u1ec7 th\u1ee9 2. \u0110\u00e2y l\u00e0 l\u00fd do A40 th\u01b0\u1eddng \u0111\u01b0\u1ee3c d\u00f9ng nhi\u1ec1u trong Blender, Omniverse, Unreal Engine ho\u1eb7c V-Ray.<\/p>\n<p style=\"text-align: justify;\" data-start=\"2594\" data-end=\"2779\"><a href=\"https:\/\/thuegpu.vnso.vn\/\"><img decoding=\"async\" class=\"aligncenter size-full wp-image-24558\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/Hieu-nang-cua-NVIDIA-A40-tren-nhieu-tac-vu-AI.jpg\" alt=\"Hi\u1ec7u n\u0103ng c\u1ee7a NVIDIA A40 tr\u00ean nhi\u1ec1u t\u00e1c v\u1ee5 AI\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/Hieu-nang-cua-NVIDIA-A40-tren-nhieu-tac-vu-AI.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/Hieu-nang-cua-NVIDIA-A40-tren-nhieu-tac-vu-AI-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/Hieu-nang-cua-NVIDIA-A40-tren-nhieu-tac-vu-AI-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/Hieu-nang-cua-NVIDIA-A40-tren-nhieu-tac-vu-AI-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2026\/05\/Hieu-nang-cua-NVIDIA-A40-tren-nhieu-tac-vu-AI-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"mos7pe\" data-start=\"3396\" data-end=\"3445\">B\u1ed9 nh\u1edb VRAM 48GB<\/h3>\n<p style=\"text-align: justify;\">Trong nhi\u1ec1u workload AI hi\u1ec7n nay, dung l\u01b0\u1ee3ng VRAM \u0111\u00f4i khi c\u00f2n quan tr\u1ecdng h\u01a1n raw TFLOPS. \u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do c\u00e1c GPU c\u00f3 VRAM l\u1edbn v\u1eabn gi\u1eef gi\u00e1 tr\u1ecb r\u1ea5t cao d\u00f9 \u0111\u00e3 ra m\u1eaft nhi\u1ec1u n\u0103m.<\/p>\n<p style=\"text-align: justify;\" data-start=\"3447\" data-end=\"3632\">M\u1ed9t trong nh\u1eefng \u0111i\u1ec3m khi\u1ebfn NVIDIA A40 tr\u1edf n\u00ean ph\u1ed5 bi\u1ebfn l\u00e0 dung l\u01b0\u1ee3ng VRAM l\u00ean t\u1edbi 48GB ECC. \u0110\u00e2y l\u00e0 m\u1ee9c VRAM r\u1ea5t l\u1edbn n\u1ebfu so v\u1edbi GPU ph\u1ed5 bi\u1ebfn hi\u1ec7n nay nh\u01b0 RTX 4090 ho\u1eb7c RTX 5090.<\/p>\n<p style=\"text-align: justify;\" data-start=\"3634\" data-end=\"4040\">Kh\u00e1c v\u1edbi A100 s\u1eed d\u1ee5ng b\u0103ng th\u00f4ng (bandwidth) VRAM HBM2e c\u1ef1c cao, A40 d\u00f9ng GDDR6 ECC nh\u1eb1m t\u1ed1i \u01b0u gi\u00e1 th\u00e0nh v\u00e0 kh\u1ea3 n\u0103ng tri\u1ec3n khai th\u1ef1c t\u1ebf. D\u00f9 bandwidth ch\u1ec9 kho\u1ea3ng 696 GB\/s, th\u1ea5p h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi A100 c\u00f3 th\u1ec3 v\u01b0\u1ee3t h\u01a1n 1.5 TB\/s, nh\u01b0ng \u0111\u1ed5i l\u1ea1i GPU c\u00f3 chi ph\u00ed th\u1ea5p.<\/p>\n<p style=\"text-align: justify;\" data-start=\"4042\" data-end=\"4156\">48GB VRAM cho ph\u00e9p x\u1eed l\u00fd model l\u1edbn h\u01a1n, batch size l\u1edbn h\u01a1n v\u00e0 gi\u1ea3m ph\u1ee5 thu\u1ed9c v\u00e0o offload RAM h\u1ec7 th\u1ed1ng. \u0110\u00e2y l\u00e0 l\u00fd do A40 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng nhi\u1ec1u \u0111\u1ec3 ch\u1ea1y Inference v\u00e0 c\u00e1c AI Model:<\/p>\n<ul style=\"text-align: justify;\" data-start=\"4157\" data-end=\"4236\">\n<li data-section-id=\"10fv0nr\" data-start=\"4157\" data-end=\"4166\">Llama 2<\/li>\n<li data-section-id=\"12et2no\" data-start=\"4167\" data-end=\"4176\">Mistral<\/li>\n<li data-section-id=\"1ox4nqq\" data-start=\"4177\" data-end=\"4198\">Stable Diffusion XL<\/li>\n<li data-section-id=\"1j44x7z\" data-start=\"4199\" data-end=\"4205\">Flux<\/li>\n<li data-section-id=\"1j3tbgz\" data-start=\"4206\" data-end=\"4212\">vLLM<\/li>\n<li data-section-id=\"1skbqtm\" data-start=\"4213\" data-end=\"4221\">Ollama<\/li>\n<li data-section-id=\"17wy2kf\" data-start=\"4222\" data-end=\"4236\">TensorRT-LLM<\/li>\n<\/ul>\n<h3 style=\"text-align: justify;\" data-section-id=\"1kfvl41\" data-start=\"4342\" data-end=\"4379\">Hi\u1ec7u n\u0103ng AI v\u00e0 kh\u1ea3 n\u0103ng x\u1eed l\u00fd LLM<\/h3>\n<p style=\"text-align: justify;\" data-start=\"4381\" data-end=\"4516\">Trong th\u1ef1c t\u1ebf tri\u1ec3n khai AI hi\u1ec7n nay, NVIDIA A40 \u0111\u01b0\u1ee3c d\u00f9ng ch\u1ee7 y\u1ebfu cho inference thay v\u00ec training quy m\u00f4 l\u1edbn. GPU \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi: chatbot AI, AI n\u1ed9i b\u1ed9 doanh nghi\u1ec7p, OCR, AI vision, speech AI v\u00e0 recommendation system.<\/p>\n<p style=\"text-align: justify;\" data-start=\"4610\" data-end=\"4824\">Nh\u1edd Tensor Core Ampere, A40 v\u1eabn mang l\u1ea1i hi\u1ec7u n\u0103ng AI r\u1ea5t m\u1ea1nh cho inference v\u00e0 fine-tuning c\u1ee1 trung b\u00ecnh. GPU c\u0169ng h\u1ed7 tr\u1ee3 TensorFloat-32 v\u00e0 FP16 gi\u00fap t\u0103ng t\u1ed1c x\u1eed l\u00fd deep learning trong nhi\u1ec1u framework AI hi\u1ec7n \u0111\u1ea1i. Trong c\u1ed9ng \u0111\u1ed3ng AI open-source, A40 th\u01b0\u1eddng \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 l\u00e0 m\u1ed9t trong nh\u1eefng GPU \u0111\u00e1ng ti\u1ec1n nh\u1ea5t.<\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"153h42n\" data-start=\"5315\" data-end=\"5360\">Rendering, ray tracing v\u00e0 visual computing<\/h3>\n<p style=\"text-align: justify;\" data-start=\"5362\" data-end=\"5497\">Kh\u00f4ng gi\u1ed1ng nhi\u1ec1u GPU compute chuy\u00ean d\u1ee5ng, NVIDIA A40 v\u1eabn gi\u1eef \u0111\u1ea7y \u0111\u1ee7 graphics pipeline c\u00f9ng RT Core ph\u1ee5c v\u1ee5 rendering v\u00e0 visualization. Theo NVIDIA, RT Core th\u1ebf h\u1ec7 th\u1ee9 2 tr\u00ean Ampere mang l\u1ea1i throughput ray tracing cao g\u1ea5p \u0111\u00f4i th\u1ebf h\u1ec7 tr\u01b0\u1edbc trong nhi\u1ec1u workload.<\/p>\n<p style=\"text-align: justify;\" data-start=\"5710\" data-end=\"5752\">\u0110i\u1ec1u n\u00e0y gi\u00fap A40 ho\u1ea1t \u0111\u1ed9ng r\u1ea5t t\u1ed1t trong nhi\u1ec1u ph\u1ea7n m\u1ec1m render nh\u01b0 Blender hay Unreal Engine. Nhi\u1ec1u render farm v\u00e0 studio d\u1ef1ng h\u00ecnh l\u1ef1a ch\u1ecdn A40.<\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"195wkza\" data-start=\"5976\" data-end=\"6014\">Virtualization v\u00e0 workstation cloud<\/h3>\n<p style=\"text-align: justify;\" data-start=\"6016\" data-end=\"6289\">M\u1ed9t trong nh\u1eefng l\u1ee3i th\u1ebf l\u1edbn nh\u1ea5t c\u1ee7a NVIDIA A40 l\u00e0 kh\u1ea3 n\u0103ng\u00a0 \u1ea3o h\u00f3a (virtualization). GPU h\u1ed7 tr\u1ee3 NVIDIA RTX Virtual Workstation v\u00e0 c\u00f4ng ngh\u1ec7 vGPU gi\u00fap chia t\u00e0i nguy\u00ean GPU cho nhi\u1ec1u ng\u01b0\u1eddi d\u00f9ng t\u1eeb xa.<\/p>\n<p style=\"text-align: justify;\" data-start=\"6291\" data-end=\"6322\">\u0110\u00e2y l\u00e0 n\u1ec1n t\u1ea3ng quan tr\u1ecdng cho Workstation cloud, Virtual desktop v\u00e0 remote CAD. Trong nhi\u1ec1u doanh nghi\u1ec7p hi\u1ec7n nay, A40 \u0111\u01b0\u1ee3c d\u00f9ng \u0111\u1ec3 x\u00e2y d\u1ef1ng h\u1ec7 th\u1ed1ng workstation cloud cho k\u1ef9 s\u01b0, designer v\u00e0 studio d\u1ef1ng h\u00ecnh thay v\u00ec \u0111\u1ea7u t\u01b0 workstation v\u1eadt l\u00fd ri\u00eang l\u1ebb.<\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"10r5b1p\" data-start=\"6587\" data-end=\"6623\">NVLink v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng \u0111a GPU<\/h3>\n<p style=\"text-align: justify;\" data-start=\"6625\" data-end=\"6817\">NVIDIA A40 h\u1ed7 tr\u1ee3 NVLink th\u1ebf h\u1ec7 3 v\u1edbi bandwidth kho\u1ea3ng 112 GB\/s hai chi\u1ec1u v\u00e0 c\u00f3 th\u1ec3 k\u1ebft n\u1ed1i t\u1ed1i \u0111a hai GPU. Khi s\u1eed d\u1ee5ng NVLink, h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng t\u1ed5ng VRAM l\u00ean t\u1edbi 96GB ph\u1ee5c v\u1ee5 workload AI ho\u1eb7c rendering l\u1edbn h\u01a1n.<\/p>\n<p style=\"text-align: justify;\" data-start=\"6931\" data-end=\"7058\">Tuy nhi\u00ean kh\u1ea3 n\u0103ng multi-GPU c\u1ee7a A40 v\u1eabn kh\u00f4ng th\u1ec3 so s\u00e1nh v\u1edbi c\u00e1c n\u1ec1n t\u1ea3ng HGX ho\u1eb7c A100 SXM chuy\u00ean cho AI cluster quy m\u00f4 l\u1edbn.<\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"19wx6z9\" data-start=\"7060\" data-end=\"7097\">M\u1ee9c \u0111\u1ed9 ti\u00eau th\u1ee5 \u0111i\u1ec7n v\u00e0 chi ph\u00ed v\u1eadn h\u00e0nh<\/h3>\n<p style=\"text-align: justify;\" data-start=\"7099\" data-end=\"7291\">TDP c\u1ee7a NVIDIA A40 \u1edf m\u1ee9c kho\u1ea3ng 300W, th\u1ea5p h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi nhi\u1ec1u GPU AI th\u1ebf h\u1ec7 m\u1edbi hi\u1ec7n nay.<\/p>\n<p style=\"text-align: justify;\" data-start=\"7293\" data-end=\"7316\">M\u1ee9c \u0111i\u1ec7n n\u0103ng n\u00e0y gi\u00fap gi\u1ea3m chi ph\u00ed v\u1eadn h\u00e0nh v\u00e0 t\u1ed1i \u01b0u hi\u1ec7u su\u1ea5t \u0111i\u1ec7n n\u0103ng tr\u00ean datacenter. Tuy nhi\u00ean GPU s\u1eed d\u1ee5ng thi\u1ebft k\u1ebf passive cooling n\u00ean y\u00eau c\u1ea7u airflow chu\u1ea9n server thay v\u00ec d\u00f9ng nh\u01b0 GPU gaming th\u00f4ng th\u01b0\u1eddng.<\/p>\n<h2 style=\"text-align: justify;\" data-section-id=\"yj79se\" data-start=\"7560\" data-end=\"7596\">So s\u00e1nh NVIDIA A40 v\u1edbi c\u00e1c GPU th\u00f4ng d\u1ee5ng<\/h2>\n<p style=\"text-align: justify;\" data-start=\"46\" data-end=\"314\">So v\u1edbi c\u00e1c GPU ph\u1ed5 bi\u1ebfn hi\u1ec7n nay, A40 kh\u00f4ng m\u1ea1nh nh\u1ea5t v\u1ec1 AI training nh\u01b0ng l\u1ea1i c\u00f3 l\u1ee3i th\u1ebf l\u1edbn v\u1ec1 VRAM, \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh v\u00e0 chi ph\u00ed tri\u1ec3n khai th\u1ef1c t\u1ebf cho doanh nghi\u1ec7p.<\/p>\n<div class=\"TyagGW_tableContainer\" style=\"text-align: justify;\">\n<div class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" style=\"height: 383px;\" width=\"746\" data-start=\"316\" data-end=\"853\">\n<thead data-start=\"316\" data-end=\"358\">\n<tr data-start=\"316\" data-end=\"358\">\n<th class=\"\" data-start=\"316\" data-end=\"322\" data-col-size=\"sm\">GPU<\/th>\n<th class=\"\" data-start=\"322\" data-end=\"329\" data-col-size=\"sm\">VRAM<\/th>\n<th class=\"\" data-start=\"329\" data-end=\"347\" data-col-size=\"sm\">\u0110i\u1ec3m m\u1ea1nh ch\u00ednh<\/th>\n<th class=\"\" data-start=\"347\" data-end=\"358\" data-col-size=\"sm\">Ph\u00f9 h\u1ee3p<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"377\" data-end=\"853\">\n<tr data-start=\"377\" data-end=\"476\">\n<td data-start=\"377\" data-end=\"390\" data-col-size=\"sm\">NVIDIA A40<\/td>\n<td data-col-size=\"sm\" data-start=\"390\" data-end=\"407\">48GB GDDR6 ECC<\/td>\n<td data-col-size=\"sm\" data-start=\"407\" data-end=\"446\">AI inference, virtualization, render<\/td>\n<td data-col-size=\"sm\" data-start=\"446\" data-end=\"476\">Cloud GPU, AI doanh nghi\u1ec7p<\/td>\n<\/tr>\n<tr data-start=\"477\" data-end=\"551\">\n<td data-start=\"477\" data-end=\"491\" data-col-size=\"sm\">NVIDIA A100<\/td>\n<td data-col-size=\"sm\" data-start=\"491\" data-end=\"504\">80GB HBM2e<\/td>\n<td data-col-size=\"sm\" data-start=\"504\" data-end=\"523\">AI training, HPC<\/td>\n<td data-col-size=\"sm\" data-start=\"523\" data-end=\"551\">LLM training, AI cluster<\/td>\n<\/tr>\n<tr data-start=\"552\" data-end=\"622\">\n<td data-start=\"552\" data-end=\"570\" data-col-size=\"sm\">NVIDIA RTX 4090<\/td>\n<td data-col-size=\"sm\" data-start=\"570\" data-end=\"584\">24GB GDDR6X<\/td>\n<td data-col-size=\"sm\" data-start=\"584\" data-end=\"600\">FP32 c\u1ef1c m\u1ea1nh<\/td>\n<td data-col-size=\"sm\" data-start=\"600\" data-end=\"622\">AI c\u00e1 nh\u00e2n, gaming<\/td>\n<\/tr>\n<tr data-start=\"623\" data-end=\"702\">\n<td data-start=\"623\" data-end=\"642\" data-col-size=\"sm\">NVIDIA RTX A6000<\/td>\n<td data-col-size=\"sm\" data-start=\"642\" data-end=\"659\">48GB GDDR6 ECC<\/td>\n<td data-col-size=\"sm\" data-start=\"659\" data-end=\"687\">Workstation chuy\u00ean nghi\u1ec7p<\/td>\n<td data-col-size=\"sm\" data-start=\"687\" data-end=\"702\">Render, CAD<\/td>\n<\/tr>\n<tr data-start=\"703\" data-end=\"789\">\n<td data-start=\"703\" data-end=\"717\" data-col-size=\"sm\">NVIDIA L40S<\/td>\n<td data-col-size=\"sm\" data-start=\"717\" data-end=\"734\">48GB GDDR6 ECC<\/td>\n<td data-col-size=\"sm\" data-start=\"734\" data-end=\"759\">GenAI v\u00e0 inference m\u1edbi<\/td>\n<td data-col-size=\"sm\" data-start=\"759\" data-end=\"789\">AI inference hi\u1ec7u n\u0103ng cao<\/td>\n<\/tr>\n<tr data-start=\"790\" data-end=\"853\">\n<td data-start=\"790\" data-end=\"804\" data-col-size=\"sm\">NVIDIA H100<\/td>\n<td data-col-size=\"sm\" data-start=\"804\" data-end=\"816\">80GB HBM3<\/td>\n<td data-col-size=\"sm\" data-start=\"816\" data-end=\"832\">AI hyperscale<\/td>\n<td data-col-size=\"sm\" data-start=\"832\" data-end=\"853\">Datacenter AI l\u1edbn<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p style=\"text-align: justify;\"><strong>&gt;&gt;&gt; C\u00f3 th\u1ec3 b\u1ea1n quan t\u00e2m <a href=\"https:\/\/vnso.vn\/en\/nvidia-a100-la-gi\/\">NVIDIA A100 l\u00e0 g\u00ec? Ph\u00e2n t\u00edch chi ti\u1ebft t\u1eeb A-Z<\/a><\/strong><\/p>\n<div id=\"attachment_23336\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/gpu.vnso.vn\/\"><img decoding=\"async\" aria-describedby=\"caption-attachment-23336\" class=\"wp-image-23336 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/10\/NVIDIA-A100-H100-gpu.jpg\" alt=\"H\u00ecnh \u1ea3nh GPU NVIDIA A100 v\u00e0 NVIDIA H100\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/10\/NVIDIA-A100-H100-gpu.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/10\/NVIDIA-A100-H100-gpu-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/10\/NVIDIA-A100-H100-gpu-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/10\/NVIDIA-A100-H100-gpu-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/10\/NVIDIA-A100-H100-gpu-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-23336\" class=\"wp-caption-text\">H\u00ecnh \u1ea3nh GPU NVIDIA A100 v\u00e0 NVIDIA H100<\/p><\/div>\n<h2 style=\"text-align: justify;\" data-section-id=\"181boli\" data-start=\"8803\" data-end=\"8849\">NVIDIA A40 c\u00f3 c\u00f2n \u0111\u00e1ng d\u00f9ng trong n\u0103m 2026?<\/h2>\n<p style=\"text-align: justify;\" data-start=\"8851\" data-end=\"8971\">D\u00f9 H100 v\u00e0 Blackwell \u0111ang thu h\u00fat nhi\u1ec1u s\u1ef1 ch\u00fa \u00fd, NVIDIA A40 v\u1eabn l\u00e0 GPU r\u1ea5t th\u1ef1c d\u1ee5ng cho ph\u1ea7n l\u1edbn workload AI hi\u1ec7n nay v\u1edbi chi ph\u00ed th\u1ea5p. \u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do r\u1ea5t nhi\u1ec1u h\u1ec7 th\u1ed1ng Cloud GPU hi\u1ec7n nay v\u1eabn ti\u1ebfp t\u1ee5c tri\u1ec3n khai NVIDIA A40 thay v\u00ec ch\u1ec9 t\u1eadp trung v\u00e0o c\u00e1c GPU AI cao c\u1ea5p \u0111\u1eaft ti\u1ec1n h\u01a1n.<\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"vr32ng\" data-start=\"8216\" data-end=\"8253\">Gi\u00e1 NVIDIA A40 v\u00e0 b\u00e0i to\u00e1n tri\u1ec3n khai<\/h3>\n<p style=\"text-align: justify;\" data-start=\"8255\" data-end=\"8529\">T\u00f9y th\u1ecb tr\u01b0\u1eddng, NVIDIA A40 m\u1edbi c\u00f3 th\u1ec3 dao \u0111\u1ed9ng kho\u1ea3ng 5.000 \u0111\u1ebfn 10.000 USD trong khi h\u00e0ng datacenter secondary market th\u01b0\u1eddng th\u1ea5p h\u01a1n nhi\u1ec1u.<\/p>\n<p style=\"text-align: justify;\" data-start=\"8531\" data-end=\"8606\">Tuy nhi\u00ean chi ph\u00ed tri\u1ec3n khai AI th\u1ef1c t\u1ebf kh\u00f4ng ch\u1ec9 n\u1eb1m \u1edf GPU m\u00e0 c\u00f2n bao g\u1ed3m ngu\u1ed3n \u0111i\u1ec7n, l\u00e0m m\u00e1t v\u00e0 v\u1eadn h\u00e0nh h\u1ec7 th\u1ed1ng. \u0110\u00e2y l\u00e0 l\u00fd do xu h\u01b0\u1edbng <strong>thu\u00ea Cloud GPU hay Server GPU<\/strong> ng\u00e0y c\u00e0ng ph\u1ed5 bi\u1ebfn thay v\u00ec \u0111\u1ea7u t\u01b0 to\u00e0n b\u1ed9 h\u1ea1 t\u1ea7ng GPU v\u1eadt l\u00fd ngay t\u1eeb \u0111\u1ea7u.<\/p>\n<h2 style=\"text-align: justify;\" data-section-id=\"11yhcct\" data-start=\"0\" data-end=\"11\">T\u1ed5ng k\u1ebft<\/h2>\n<p style=\"text-align: justify;\" data-start=\"13\" data-end=\"354\">NVIDIA A40 v\u1eabn l\u00e0 m\u1ed9t trong nh\u1eefng GPU datacenter \u0111a d\u1ee5ng \u0111\u00e1ng ch\u00fa \u00fd c\u1ee7a ki\u1ebfn tr\u00fac Ampere nh\u1edd kh\u1ea3 n\u0103ng c\u00e2n b\u1eb1ng gi\u1eefa AI inference, rendering, virtualization v\u00e0 workstation cloud. V\u1edbi 48GB VRAM ECC, hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh v\u00e0 chi ph\u00ed tri\u1ec3n khai h\u1ee3p l\u00fd h\u01a1n nhi\u1ec1u GPU AI hyperscale, A40 v\u1eabn ph\u00f9 h\u1ee3p cho ph\u1ea7n l\u1edbn nhu c\u1ea7u AI doanh nghi\u1ec7p trong n\u0103m 2026.<\/p>\n<p style=\"text-align: justify;\" data-start=\"356\" data-end=\"540\">\u0110\u1ed1i v\u1edbi c\u00e1c workload nh\u01b0 chatbot AI, Stable Diffusion, LLM inference, render server ho\u1eb7c workstation cloud, NVIDIA A40 v\u1eabn mang l\u1ea1i hi\u1ec7u qu\u1ea3 chi ph\u00ed r\u1ea5t t\u1ed1t cho h\u1ec7 th\u1ed1ng v\u1eadn h\u00e0nh 24\/7.<\/p>\n<p style=\"text-align: justify;\" data-start=\"356\" data-end=\"540\"><a href=\"https:\/\/thuegpu.vnso.vn\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-22899 size-full\" src=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Nha-cung-cap-NVIDIA-A40-48GB-GDDR6-GPU-uy-tin-tai-Viet-Nam.jpg\" alt=\"Nh\u00e0 cung c\u1ea5p NVIDIA A40 48GB GDDR6 GPU uy t\u00edn t\u1ea1i Vi\u1ec7t Nam\" width=\"1200\" height=\"624\" srcset=\"https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Nha-cung-cap-NVIDIA-A40-48GB-GDDR6-GPU-uy-tin-tai-Viet-Nam.jpg 1200w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Nha-cung-cap-NVIDIA-A40-48GB-GDDR6-GPU-uy-tin-tai-Viet-Nam-800x416.jpg 800w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Nha-cung-cap-NVIDIA-A40-48GB-GDDR6-GPU-uy-tin-tai-Viet-Nam-1024x532.jpg 1024w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Nha-cung-cap-NVIDIA-A40-48GB-GDDR6-GPU-uy-tin-tai-Viet-Nam-768x399.jpg 768w, https:\/\/vnso.vn\/wp-content\/uploads\/2025\/08\/Nha-cung-cap-NVIDIA-A40-48GB-GDDR6-GPU-uy-tin-tai-Viet-Nam-18x9.jpg 18w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<h3 style=\"text-align: justify;\" data-section-id=\"as4s2p\" data-start=\"542\" data-end=\"580\">Thu\u00ea Server GPU NVIDIA A40 gi\u00e1 r\u1ebb<\/h3>\n<p style=\"text-align: justify;\" data-start=\"582\" data-end=\"707\">VNSO hi\u1ec7n cung c\u1ea5p d\u1ecbch v\u1ee5 <a href=\"https:\/\/thuegpu.vnso.vn\/\">Server GPU NVIDIA Ampere A40 48GB<\/a> d\u00e0nh cho AI inference, render v\u00e0 workstation cloud v\u1edbi c\u1ea5u h\u00ecnh:<\/p>\n<ul style=\"text-align: justify;\">\n<li data-start=\"582\" data-end=\"707\">Gi\u00e1 ch\u1ec9 t\u1eeb:<strong> 26.900.000 VN\u0110\/th\u00e1ng<\/strong><\/li>\n<li data-section-id=\"1116xam\" data-start=\"709\" data-end=\"725\">CPU: 32 Core<\/li>\n<li data-section-id=\"1y65dgr\" data-start=\"726\" data-end=\"739\">RAM: 64GB<\/li>\n<li data-section-id=\"km6n5r\" data-start=\"740\" data-end=\"759\">SSD NVMe: 480GB<\/li>\n<li data-section-id=\"r5t1ko\" data-start=\"760\" data-end=\"789\">GPU: 01 x NVIDIA A40 48GB<\/li>\n<li data-section-id=\"1n4uk5u\" data-start=\"790\" data-end=\"810\">Network: 200Mbps<\/li>\n<\/ul>\n<p style=\"text-align: justify;\" data-start=\"812\" data-end=\"994\" data-is-last-node=\"\" data-is-only-node=\"\">\u00a0H\u1ea1 t\u1ea7ng datacenter t\u1ed1i \u01b0u s\u1eb5n 100% cho GPU server, h\u1ed7 tr\u1ee3 tri\u1ec3n khai nhanh, ph\u00f9 h\u1ee3p cho doanh nghi\u1ec7p AI.<\/p>\n<p style=\"text-align: justify;\" data-start=\"812\" data-end=\"994\" data-is-last-node=\"\" data-is-only-node=\"\"><strong>&gt;&gt;&gt; Li\u00ean h\u1ec7 ngay VNSO \u0111\u1ec3 \u0111\u01b0\u1ee3c t\u01b0 v\u1ea5n, h\u01b0\u1edbng d\u1eabn tri\u1ec3n khai GPU AI mi\u1ec5n ph\u00ed:<\/strong><\/p>\n<p style=\"text-align: justify;\" data-start=\"812\" data-end=\"994\" data-is-last-node=\"\" data-is-only-node=\"\">\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f22528-o1\" lang=\"en-US\" dir=\"ltr\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/en\/wp-json\/wp\/v2\/posts\/24544#wpcf7-f22528-o1\" method=\"post\" class=\"wpcf7-form init\" aria-label=\"Contact form\" novalidate=\"novalidate\" data-status=\"init\" data-trp-original-action=\"\/en\/wp-json\/wp\/v2\/posts\/24544#wpcf7-f22528-o1\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"22528\" \/>\n<input type=\"hidden\" name=\"_wpcf7_version\" value=\"5.9.5\" \/>\n<input type=\"hidden\" name=\"_wpcf7_locale\" value=\"en_US\" \/>\n<input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f22528-o1\" \/>\n<input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/>\n<input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/>\n<input type=\"hidden\" name=\"_wpcf7_recaptcha_response\" value=\"\" \/>\n<\/div>\n<style>\n .popup-template-wrap .wpcf7-list-item {\n display: inline-block;\n margin: 0 1em 0 0;\n width: 127px;\n}\n<\/style>\n<div class=\"d-flex gap-3\">\n\t<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-name\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" autocomplete=\"name\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Your name\/company (*)\" value=\"\" type=\"text\" name=\"your-name\" \/><\/span> <\/label>\n\t<\/p>\n\t<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-phone\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel\" id=\"phone\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"S\u1ed1 \u0111i\u1ec7n tho\u1ea1i (*)\" value=\"\" type=\"tel\" name=\"your-phone\" \/><\/span> <\/label>\n\t<\/p>\n<\/div>\n<p><label> <span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input size=\"40\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" autocomplete=\"email\" aria-required=\"true\" aria-invalid=\"false\" placeholder=\"Email c\u00f4ng ty\/c\u00e1 nh\u00e2n (*)\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span> <\/label>\n<\/p>\n<div style=\"text-align: left;\">\n\t<p><label class=\"label-select text-left\"><b> Service you're interested in:<\/b> (Choose one) <\/label><br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-service\"><span class=\"wpcf7-form-control wpcf7-checkbox wpcf7-validates-as-required wpcf7-exclusive-checkbox\"><span class=\"wpcf7-list-item first\"><input type=\"checkbox\" name=\"your-service\" value=\"Dedicated Server\" \/><span class=\"wpcf7-list-item-label\">Dedicated Server<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Server GPU\" \/><span class=\"wpcf7-list-item-label\">Server GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud GPU\" \/><span class=\"wpcf7-list-item-label\">Cloud GPU<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Cloud Camera AI\" \/><span class=\"wpcf7-list-item-label\">Cloud Camera AI<\/span><\/span><span 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Storage<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"CDN\" \/><span class=\"wpcf7-list-item-label\">CDN<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"Anti-DDoS\" \/><span class=\"wpcf7-list-item-label\">Anti-DDoS<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"your-service\" value=\"C\u00e1c d\u1ecbch v\u1ee5 kh\u00e1c\" \/><span class=\"wpcf7-list-item-label\">C\u00e1c d\u1ecbch v\u1ee5 kh\u00e1c<\/span><\/span><span class=\"wpcf7-list-item last\"><input type=\"checkbox\" name=\"your-service\" value=\"T\u01b0 v\u1ea5n\" \/><span class=\"wpcf7-list-item-label\">T\u01b0 v\u1ea5n<\/span><\/span><\/span><\/span>\n\t<\/p>\n<\/div>\n<div class=\"m-auto text-center\">\n\t<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Sign Up Now\" \/>\n\t<\/p>\n<\/div><div class=\"wpcf7-response-output\" 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[--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" tabindex=\"0\" data-message-author-role=\"assistant\" data-message-id=\"fab8fcba-0b4c-46d6-aff9-f920574d72d6\" data-message-model-slug=\"gpt-5-5\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full dark markdown-new-styling\">\n<h2 data-section-id=\"1jsexvj\" data-start=\"0\" data-end=\"41\">C\u00e1c c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 NVIDIA A40 (FAQ)<\/h2>\n<h3 data-section-id=\"y3cdvk\" data-start=\"43\" data-end=\"99\">NVIDIA A40 c\u00f3 c\u1ea7n h\u1ec7 th\u1ed1ng server chuy\u00ean d\u1ee5ng kh\u00f4ng?<\/h3>\n<p data-start=\"101\" data-end=\"296\">C\u00f3. NVIDIA A40 s\u1eed d\u1ee5ng thi\u1ebft k\u1ebf passive cooling n\u00ean c\u1ea7n rack server ho\u1eb7c chassis c\u00f3 airflow chu\u1ea9n datacenter. GPU n\u00e0y kh\u00f4ng ph\u00f9 h\u1ee3p v\u1edbi case PC th\u00f4ng th\u01b0\u1eddng n\u1ebfu kh\u00f4ng c\u00f3 h\u1ec7 th\u1ed1ng l\u00e0m m\u00e1t ph\u00f9 h\u1ee3p.<\/p>\n<h3 data-section-id=\"j50tu9\" data-start=\"298\" data-end=\"340\">NVIDIA A40 c\u00f3 h\u1ed7 tr\u1ee3 ECC memory kh\u00f4ng?<\/h3>\n<p data-start=\"342\" data-end=\"489\">C\u00f3. A40 s\u1eed d\u1ee5ng 48GB GDDR6 ECC gi\u00fap t\u0103ng \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh d\u1eef li\u1ec7u khi x\u1eed l\u00fd AI, render ho\u1eb7c workload doanh nghi\u1ec7p ho\u1ea1t \u0111\u1ed9ng li\u00ean t\u1ee5c trong th\u1eddi gian d\u00e0i.<\/p>\n<h3 data-section-id=\"gshdkv\" data-start=\"491\" data-end=\"544\">NVIDIA A40 c\u00f3 ph\u00f9 h\u1ee3p cho Stable Diffusion kh\u00f4ng?<\/h3>\n<p data-start=\"546\" data-end=\"718\">R\u1ea5t ph\u00f9 h\u1ee3p. V\u1edbi 48GB VRAM, A40 c\u00f3 th\u1ec3 x\u1eed l\u00fd Stable Diffusion XL, Flux ho\u1eb7c nhi\u1ec1u workflow AI image generation v\u1edbi batch size l\u1edbn h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi GPU consumer ph\u1ed5 th\u00f4ng.<\/p>\n<h3 data-section-id=\"1yd4gub\" data-start=\"720\" data-end=\"759\">NVIDIA A40 c\u00f3 ch\u01a1i game \u0111\u01b0\u1ee3c kh\u00f4ng?<\/h3>\n<p data-start=\"761\" data-end=\"942\">V\u1ec1 k\u1ef9 thu\u1eadt v\u1eabn c\u00f3 th\u1ec3 xu\u1ea5t h\u00ecnh qua DisplayPort, tuy nhi\u00ean A40 kh\u00f4ng \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u cho gaming. GPU n\u00e0y h\u01b0\u1edbng \u0111\u1ebfn datacenter, AI v\u00e0 workstation chuy\u00ean nghi\u1ec7p thay v\u00ec nhu c\u1ea7u gi\u1ea3i tr\u00ed.<\/p>\n<h3 data-section-id=\"532myv\" data-start=\"944\" data-end=\"992\">NVIDIA A40 c\u00f3 h\u1ed7 tr\u1ee3 CUDA v\u00e0 TensorRT kh\u00f4ng?<\/h3>\n<p data-start=\"994\" data-end=\"1109\">C\u00f3. GPU h\u1ed7 tr\u1ee3 \u0111\u1ea7y \u0111\u1ee7 CUDA, TensorRT, cuDNN v\u00e0 c\u00e1c framework AI ph\u1ed5 bi\u1ebfn nh\u01b0 PyTorch, TensorFlow ho\u1eb7c ONNX Runtime.<\/p>\n<h3 data-section-id=\"jxsooz\" data-start=\"1111\" data-end=\"1159\">NVIDIA A40 c\u00f3 ph\u00f9 h\u1ee3p cho render farm kh\u00f4ng?<\/h3>\n<p data-start=\"1161\" data-end=\"1283\">C\u00f3. Nh\u1edd RT Core Ampere v\u00e0 VRAM l\u1edbn, A40 th\u01b0\u1eddng \u0111\u01b0\u1ee3c d\u00f9ng trong render farm ch\u1ea1y Blender, V-Ray, Octane ho\u1eb7c Unreal Engine.<\/p>\n<h3 data-section-id=\"1u8wa0g\" data-start=\"1285\" data-end=\"1326\">NVIDIA A40 kh\u00e1c g\u00ec RTX 4090 trong AI?<\/h3>\n<p data-start=\"1328\" data-end=\"1502\">RTX 4090 m\u1ea1nh h\u01a1n v\u1ec1 FP32 raw performance, nh\u01b0ng A40 c\u00f3 VRAM ECC 48GB v\u00e0 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u cho m\u00f4i tr\u01b0\u1eddng server 24\/7. \u0110i\u1ec1u n\u00e0y gi\u00fap A40 ph\u00f9 h\u1ee3p h\u01a1n cho AI enterprise v\u00e0 cloud GPU.<\/p>\n<h3 data-section-id=\"1ilw4zr\" data-start=\"1504\" data-end=\"1559\">NVIDIA A40 c\u00f3 th\u1ec3 ch\u1ea1y nhi\u1ec1u m\u00e1y \u1ea3o c\u00f9ng l\u00fac kh\u00f4ng?<\/h3>\n<p data-start=\"1561\" data-end=\"1695\">C\u00f3. GPU h\u1ed7 tr\u1ee3 NVIDIA vGPU gi\u00fap chia t\u00e0i nguy\u00ean cho nhi\u1ec1u virtual machine ho\u1eb7c workstation cloud ho\u1ea1t \u0111\u1ed9ng \u0111\u1ed3ng th\u1eddi tr\u00ean c\u00f9ng server.<\/p>\n<h3 data-section-id=\"1v4unuz\" data-start=\"1697\" data-end=\"1750\">NVIDIA A40 c\u00f3 ph\u00f9 h\u1ee3p cho doanh nghi\u1ec7p nh\u1ecf kh\u00f4ng?<\/h3>\n<p data-start=\"1752\" data-end=\"1911\">C\u00f3. So v\u1edbi H100 ho\u1eb7c A100, A40 c\u00f3 chi ph\u00ed tri\u1ec3n khai th\u1ea5p h\u01a1n \u0111\u00e1ng k\u1ec3 nh\u01b0ng v\u1eabn \u0111\u00e1p \u1ee9ng t\u1ed1t AI inference, render v\u00e0 workstation cloud cho SMEs ho\u1eb7c startup AI.<\/p>\n<h3 data-section-id=\"jf6kpo\" data-start=\"1913\" data-end=\"1961\">NVIDIA A40 c\u00f3 c\u00f2n m\u1ea1nh trong n\u0103m 2026 kh\u00f4ng?<\/h3>\n<p data-start=\"1963\" data-end=\"2129\" data-is-last-node=\"\" data-is-only-node=\"\">C\u00f3. D\u00f9 kh\u00f4ng c\u00f2n l\u00e0 GPU AI m\u1edbi nh\u1ea5t, A40 v\u1eabn \u0111\u1ee7 m\u1ea1nh cho ph\u1ea7n l\u1edbn workload inference, chatbot AI, render v\u00e0 virtualization hi\u1ec7n nay nh\u1edd VRAM l\u1edbn v\u00e0 hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<h2 style=\"text-align: justify;\"><b>Th\u00f4ng tin li\u00ean h\u1ec7<\/b><\/h2>\n<p style=\"text-align: justify;\">\u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00f4ng tin v\u1ec1 c\u00e1c gi\u1ea3i ph\u00e1p M\u00e1y ch\u1ee7, thi\u1ebft b\u1ecb, v\u00e0 c\u00e1c gi\u1ea3i ph\u00e1p \u0110\u00e1m m\u00e2y, Qu\u00fd kh\u00e1ch vui l\u00f2ng li\u00ean h\u1ec7 ch\u00fang t\u00f4i theo th\u00f4ng tin d\u01b0\u1edbi \u0111\u00e2y:<\/p>\n<p style=\"text-align: justify;\"><strong>C\u00d4NG TY C\u1ed4 PH\u1ea6N C\u00d4NG NGH\u1ec6 VNSO &#8211; SINCE 2015<\/strong><\/p>\n<p style=\"text-align: justify;\">&#8211; Website: <a href=\"https:\/\/vnso.vn\/en\/\">https:\/\/vnso.vn\/<\/a><br \/>\n&#8211; Fanpage: <a href=\"https:\/\/www.facebook.com\/VNSO.VN\/\">Facebook<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/vnso-technology\/\">LinkedIn<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.youtube.com\/@vnsotechnology\">YouTube<\/a>\u00a0|\u00a0<a href=\"https:\/\/www.tiktok.com\/@vnso.congnghe?is_from_webapp=1&amp;sender_device=pc\">TikTok<\/a><br \/>\n&#8211; Hotline: 0927 444 222 | Email: <a href=\"mailto:info@vnso.vn\">info@vnso.vn<\/a><br \/>\n&#8211; Tr\u1ee5 s\u1edf: L\u00f4 O s\u1ed1 10, \u0110\u01b0\u1eddng s\u1ed1 15, KDC Mi\u1ebfu N\u1ed5i, Ph\u01b0\u1eddng Gia \u0110\u1ecbnh, TP. H\u1ed3 Ch\u00ed Minh<br \/>\n&#8211; VPGD \u0110\u00e0 N\u1eb5ng: 30 Nguy\u1ec5n H\u1eefu Th\u1ecd, Ph\u01b0\u1eddng H\u1ea3i Ch\u00e2u, \u0110\u00e0 N\u1eb5ng<br \/>\n\u2013 VPGD H\u00e0 N\u1ed9i: 132 V\u0169 Ph\u1ea1m H\u00e0m, Ph\u01b0\u1eddng Y\u00ean H\u00f2a, H\u00e0 N\u1ed9i<\/p>","protected":false},"excerpt":{"rendered":"<p>Trong khi H100 hay Blackwell \u0111ang thu h\u00fat ph\u1ea7n l\u1edbn s\u1ef1 ch\u00fa \u00fd c\u1ee7a th\u1ecb tr\u01b0\u1eddng AI, nhi\u1ec1u doanh nghi\u1ec7p th\u1ef1c t\u1ebf v\u1eabn tri\u1ec3n khai NVIDIA A40. NVIDIA A40 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u00f4i tr\u01b0\u1eddng m\u00e1y ch\u1ee7 ho\u1ea1t \u0111\u1ed9ng li\u00ean t\u1ee5c 24\/7. GPU n\u00e0y \u0111\u01b0\u1ee3c NVIDIA \u0111\u1ecbnh v\u1ecb cho AI inference, virtual workstation, rendering v\u00e0 [&hellip;]<\/p>","protected":false},"author":6,"featured_media":24556,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[538],"tags":[559,716],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA A40 l\u00e0 g\u00ec? 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