{"id":24725,"date":"2026-08-28T17:04:44","date_gmt":"2026-08-28T10:04:44","guid":{"rendered":"https:\/\/vnso.vn\/?p=24725"},"modified":"2026-08-28T17:04:44","modified_gmt":"2026-08-28T10:04:44","slug":"nvidia-v100-la-gi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvidia-v100-la-gi\/","title":{"rendered":"NVIDIA V100 l\u00e0 g\u00ec? C\u00f3 n\u00ean \u0111\u1ea7u t\u01b0 GPU Tesla V100 n\u0103m 2026?"},"content":{"rendered":"

Trong l\u0129nh v\u1ef1c AI, Machine Learning v\u00e0 High Performance Computing (HPC), GPU Data Center \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng. M\u1ed9t trong nh\u1eefng d\u00f2ng GPU t\u1eebng t\u1ea1o b\u01b0\u1edbc \u0111\u1ed9t ph\u00e1 l\u1edbn l\u00e0 NVIDIA V100 hay NVIDIA Tesla V100<\/strong>.<\/p>\n

Ra m\u1eaft d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac Volta, Tesla V100 \u0111\u01b0\u1ee3c NVIDIA ph\u00e1t tri\u1ec3n cho c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u, nghi\u00ean c\u1ee9u khoa h\u1ecdc v\u00e0 h\u1ec7 th\u1ed1ng AI. GPU n\u00e0y n\u1ed5i b\u1eadt v\u1edbi Tensor Core, b\u1ed9 nh\u1edb HBM2 v\u00e0 kh\u1ea3 n\u0103ng x\u1eed l\u00fd song song m\u1ea1nh m\u1ebd.<\/p>\n

Tuy nhi\u00ean, khi b\u01b0\u1edbc sang n\u0103m 2026, nhi\u1ec1u ng\u01b0\u1eddi \u0111\u1eb7t c\u00e2u h\u1ecfi: NVIDIA V100 l\u00e0 g\u00ec v\u00e0 c\u00f3 n\u00ean \u0111\u1ea7u t\u01b0 Tesla V100 \u1edf th\u1eddi \u0111i\u1ec3m hi\u1ec7n t\u1ea1i? <\/strong>C\u00e2u tr\u1ea3 l\u1eddi ph\u1ee5 thu\u1ed9c v\u00e0o nhu c\u1ea7u s\u1eed d\u1ee5ng, ng\u00e2n s\u00e1ch v\u00e0 lo\u1ea1i m\u00f4 h\u00ecnh AI m\u00e0 doanh nghi\u1ec7p \u0111ang tri\u1ec3n khai.<\/p>\n

NVIDIA V100 l\u00e0 g\u00ec? T\u1ed5ng quan v\u1ec1 GPU Tesla V100<\/h2>\n

NVIDIA Tesla V100<\/strong> l\u00e0 GPU Data Center d\u1ef1a tr\u00ean ki\u1ebfn tr\u00fac NVIDIA Volta. S\u1ea3n ph\u1ea9m \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 t\u0103ng t\u1ed1c c\u00e1c workload AI, Deep Learning, Machine Learning v\u00e0 HPC.<\/p>\n

\u0110i\u1ec3m \u0111\u1eb7c bi\u1ec7t c\u1ee7a V100 n\u1eb1m \u1edf Tensor Core<\/strong>. \u0110\u00e2y l\u00e0 th\u1ebf h\u1ec7 GPU \u0111\u1ea7u ti\u00ean c\u1ee7a NVIDIA \u0111\u01b0\u1ee3c trang b\u1ecb Tensor Core cho c\u00e1c ph\u00e9p to\u00e1n li\u00ean quan \u0111\u1ebfn Deep Learning.<\/p>\n

V100 c\u00f3 5.120 CUDA Core v\u00e0 640 Tensor Core<\/strong>. GPU h\u1ed7 tr\u1ee3 b\u1ed9 nh\u1edb HBM2 v\u1edbi c\u00e1c phi\u00ean b\u1ea3n 16GB v\u00e0 32GB. B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb \u0111\u1ea1t 900 GB\/s tr\u00ean V100 ti\u00eau chu\u1ea9n.<\/p>\n

Nh\u1edd \u0111\u00f3, V100 c\u00f3 kh\u1ea3 n\u0103ng x\u1eed l\u00fd song song m\u1ed9t l\u01b0\u1ee3ng l\u1edbn ph\u00e9p t\u00ednh. GPU \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi nh\u1eefng c\u00f4ng vi\u1ec7c c\u1ea7n t\u00ednh to\u00e1n li\u00ean t\u1ee5c v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn.<\/p>\n

M\u1ed9t s\u1ed1 th\u00f4ng s\u1ed1 \u0111\u00e1ng ch\u00fa \u00fd c\u1ee7a NVIDIA Tesla V100:<\/strong><\/p>\n

\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Th\u00f4ng s\u1ed1<\/th>\nNVIDIA Tesla V100<\/th>\n<\/tr>\n<\/thead>\n
Ki\u1ebfn tr\u00fac<\/td>\nNVIDIA Volta<\/td>\n<\/tr>\n
CUDA Core<\/td>\n5.120<\/td>\n<\/tr>\n
Tensor Core<\/td>\n640<\/td>\n<\/tr>\n
VRAM<\/td>\n16GB \/ 32GB HBM2<\/td>\n<\/tr>\n
Memory Bandwidth<\/td>\nL\u00ean \u0111\u1ebfn 900 GB\/s<\/td>\n<\/tr>\n
FP32<\/td>\nL\u00ean \u0111\u1ebfn 15,7 TFLOPS<\/td>\n<\/tr>\n
Tensor Performance<\/td>\nL\u00ean \u0111\u1ebfn 125 TFLOPS<\/td>\n<\/tr>\n
ECC<\/td>\nC\u00f3<\/td>\n<\/tr>\n
Compute Capability<\/td>\n7.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

C\u00e1c con s\u1ed1 hi\u1ec7u n\u0103ng tr\u00ean c\u00f3 th\u1ec3 kh\u00e1c nhau t\u00f9y phi\u00ean b\u1ea3n V100 PCIe ho\u1eb7c SXM2. V\u00ec v\u1eady, khi l\u1ef1a ch\u1ecdn GPU, doanh nghi\u1ec7p c\u1ea7n ki\u1ec3m tra ch\u00ednh x\u00e1c model v\u00e0 c\u1ea5u h\u00ecnh th\u1ef1c t\u1ebf.<\/p>\n

>>> Xem th\u00eam t\u1ea1i NVIDIA Tesla V100 – C\u1ed9t m\u1ed1c GPU Tensor Core \u0111\u1ea7u ti\u00ean<\/a><\/strong><\/p>\n

\"Ki\u1ebfn<\/a><\/h3>\n

Tensor Core mang l\u1ea1i l\u1ee3i \u00edch g\u00ec?<\/h3>\n

Tensor Core l\u00e0 m\u1ed9t trong nh\u1eefng c\u00f4ng ngh\u1ec7 quan tr\u1ecdng nh\u1ea5t tr\u00ean Tesla V100.<\/p>\n

Thay v\u00ec ch\u1ec9 s\u1eed d\u1ee5ng CUDA Core \u0111\u1ec3 x\u1eed l\u00fd ph\u00e9p t\u00ednh, V100 c\u00f3 th\u00eam Tensor Core \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf chuy\u00ean bi\u1ec7t cho c\u00e1c ph\u00e9p to\u00e1n ma tr\u1eadn th\u01b0\u1eddng xu\u1ea5t hi\u1ec7n trong Deep Learning.<\/p>\n

C\u00f4ng ngh\u1ec7 n\u00e0y gi\u00fap t\u0103ng t\u1ed1c nhi\u1ec1u workload AI, \u0111\u1eb7c bi\u1ec7t khi s\u1eed d\u1ee5ng mixed precision<\/strong>.<\/p>\n

\u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do V100 t\u1eebng tr\u1edf th\u00e0nh m\u1ed9t trong nh\u1eefng GPU quan tr\u1ecdng trong giai \u0111o\u1ea1n AI b\u1eaft \u0111\u1ea7u ph\u00e1t tri\u1ec3n m\u1ea1nh.<\/p>\n

NVIDIA V100 16GB v\u00e0 32GB kh\u00e1c nhau th\u1ebf n\u00e0o?<\/h3>\n

V\u1ec1 c\u01a1 b\u1ea3n, phi\u00ean b\u1ea3n 32GB c\u00f3 l\u1ee3i th\u1ebf v\u1ec1 dung l\u01b0\u1ee3ng VRAM. VRAM l\u1edbn gi\u00fap GPU c\u00f3 th\u1ec3 ch\u1ee9a nhi\u1ec1u d\u1eef li\u1ec7u v\u00e0 m\u00f4 h\u00ecnh h\u01a1n. \u0110i\u1ec1u n\u00e0y h\u1eefu \u00edch khi ch\u1ea1y model c\u00f3 k\u00edch th\u01b0\u1edbc l\u1edbn ho\u1eb7c c\u1ea7n batch size cao.<\/p>\n

Tuy nhi\u00ean, NVIDIA<\/strong> V100 32GB kh\u00f4ng c\u00f3 ngh\u0129a l\u00e0 hi\u1ec7u n\u0103ng x\u1eed l\u00fd nhanh g\u1ea5p \u0111\u00f4i V100 16GB<\/strong>. N\u1ebfu workload ch\u1ec9 c\u1ea7n 16GB VRAM, phi\u00ean b\u1ea3n 32GB kh\u00f4ng nh\u1ea5t thi\u1ebft mang l\u1ea1i t\u1ed1c \u0111\u1ed9 x\u1eed l\u00fd cao h\u01a1n t\u01b0\u01a1ng \u1ee9ng. V\u00ec v\u1eady, doanh nghi\u1ec7p n\u00ean ch\u1ecdn GPU d\u1ef1a tr\u00ean workload th\u1ef1c t\u1ebf thay v\u00ec ch\u1ec9 nh\u00ecn v\u00e0o dung l\u01b0\u1ee3ng VRAM.<\/p>\n

NVIDIA V100 ph\u00f9 h\u1ee3p v\u1edbi nh\u1eefng workload n\u00e0o?<\/h2>\n

Tesla V100 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u00f4i tr\u01b0\u1eddng Data Center. V\u00ec v\u1eady, GPU n\u00e0y ph\u00f9 h\u1ee3p v\u1edbi nhi\u1ec1u workload t\u00ednh to\u00e1n chuy\u00ean s\u00e2u.<\/p>\n

AI v\u00e0 Deep Learning<\/h3>\n

V100 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho:<\/p>\n