{"id":22570,"date":"2025-07-26T08:37:17","date_gmt":"2025-07-26T01:37:17","guid":{"rendered":"https:\/\/vnso.vn\/?p=22570"},"modified":"2025-07-26T08:47:56","modified_gmt":"2025-07-26T01:47:56","slug":"nvlink-la-gi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvlink-la-gi\/","title":{"rendered":"NVLink l\u00e0 g\u00ec? Kh\u00e1m ph\u00e1 c\u00f4ng ngh\u1ec7 k\u1ebft n\u1ed1i si\u00eau t\u1ed1c c\u1ee7a NVIDIA"},"content":{"rendered":"

C\u00f4ng ngh\u1ec7 NVLink<\/strong> c\u1ee7a NVIDIA l\u1ea7n \u0111\u1ea7u \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u v\u00e0o n\u0103m 2016 c\u00f9ng v\u1edbi GPU Tesla P100, nh\u01b0ng h\u00e0nh tr\u00ecnh ph\u00e1t tri\u1ec3n \u0111\u00e3 b\u1eaft \u0111\u1ea7u t\u1eeb 2014. Trong b\u1ed1i c\u1ea3nh AI, si\u00eau m\u00e1y t\u00ednh v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng x\u1eed l\u00fd d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p b\u00f9ng n\u1ed5, NVLink ch\u00ednh l\u00e0 ch\u00eca kh\u00f3a gi\u00fap gi\u1ea3i quy\u1ebft \u0111i\u1ec3m ngh\u1ebdn v\u1ec1 b\u0103ng th\u00f4ng k\u1ebft n\u1ed1i gi\u1eefa c\u00e1c b\u1ed9 x\u1eed l\u00fd \u2013 y\u1ebfu t\u1ed1 quan tr\u1ecdng \u0111\u1ec3 khai th\u00e1c t\u1ed1i \u0111a s\u1ee9c m\u1ea1nh c\u1ee7a GPU hi\u1ec7n \u0111\u1ea1i.<\/p>\n

B\u00e0i vi\u1ebft t\u1eeb VNSO<\/strong><\/a> s\u1ebd gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 v\u1ec1 NVIDIA NVLink, c\u00e1ch c\u00f4ng ngh\u1ec7 n\u00e0y ho\u1ea1t \u0111\u1ed9ng, v\u00e0 vai tr\u00f2 quan tr\u1ecdng trong h\u1ea1 t\u1ea7ng AI hi\u1ec7n \u0111\u1ea1i.<\/p>\n

1. NVLink l\u00e0 g\u00ec?<\/span><\/h2>\n

NVLink l\u00e0 c\u00f4ng ngh\u1ec7 k\u1ebft n\u1ed1i t\u1ed1c \u0111\u1ed9 cao do NVIDIA ph\u00e1t tri\u1ec3n. C\u00f4ng ngh\u1ec7 n\u00e0y \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 b\u1ed5 sung ho\u1eb7c thay th\u1ebf chu\u1ea9n PCIe (Peripheral Component Interconnect Express) trong c\u00e1c h\u1ec7 th\u1ed1ng t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao.<\/p>\n

\"NVlink<\/a>

NVlink l\u00e0 g\u00ec?<\/p><\/div>\n

PCIe l\u00e0 giao th\u1ee9c ph\u1ed5 bi\u1ebfn \u0111\u1ec3 k\u1ebft n\u1ed1i CPU, GPU v\u00e0 c\u00e1c linh ki\u1ec7n kh\u00e1c, nh\u01b0ng v\u1edbi y\u00eau c\u1ea7u ng\u00e0y c\u00e0ng cao c\u1ee7a c\u00e1c h\u1ec7 th\u1ed1ng AI, PCIe d\u1ea7n b\u1ed9c l\u1ed9 h\u1ea1n ch\u1ebf v\u1ec1 t\u1ed1c \u0111\u1ed9. NVLink ra \u0111\u1eddi \u0111\u1ec3 kh\u1eafc ph\u1ee5c v\u1ea5n \u0111\u1ec1 n\u00e0y, mang l\u1ea1i hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i.<\/p>\n

\u01afu \u0111i\u1ec3m n\u1ed5i b\u1eadt c\u1ee7a NVLink:<\/h3>\n

– B\u0103ng th\u00f4ng v\u01b0\u1ee3t tr\u1ed9i: \u0110\u1ea1t t\u1edbi 900GB\/s tr\u00ean GPU Hopper H100, g\u1ea5p nhi\u1ec1u l\u1ea7n so v\u1edbi PCIe Gen5 (~128GB\/s).<\/p>\n

– K\u1ebft n\u1ed1i tr\u1ef1c ti\u1ebfp GPU-GPU v\u00e0 GPU-CPU m\u00e0 kh\u00f4ng c\u1ea7n qua hub trung gian.<\/p>\n

– H\u1ed7 tr\u1ee3 \u0111\u1ed3ng b\u1ed9 b\u1ed9 nh\u1edb gi\u1eefa c\u00e1c GPU, gi\u00fap chia s\u1ebb d\u1eef li\u1ec7u nhanh ch\u00f3ng v\u00e0 hi\u1ec7u qu\u1ea3 h\u01a1n.<\/p>\n

– \u0110\u1ed9 tr\u1ec5 th\u1ea5p, t\u1ed1i \u01b0u cho c\u00e1c t\u00e1c v\u1ee5 \u0111\u00f2i h\u1ecfi \u0111\u1ed3ng b\u1ed9 d\u1eef li\u1ec7u nhanh ch\u00f3ng.<\/p>\n

C\u00f3 th\u1ec3 n\u00f3i, NVLink ho\u1ea1t \u0111\u1ed9ng nh\u01b0 m\u1ed9t xa l\u1ed9 d\u1eef li\u1ec7u t\u1ed1c \u0111\u1ed9 cao, gi\u00fap c\u00e1c b\u1ed9 x\u1eed l\u00fd trao \u0111\u1ed5i th\u00f4ng tin nhanh h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi chu\u1ea9n PCIe truy\u1ec1n th\u1ed1ng.<\/p>\n

>> C\u00f3 th\u1ec3 b\u1ea1n quan t\u00e2m \u0111\u1ebfn: NVIDIA DGX GB300: C\u1ed7 m\u00e1y AI m\u1ea1nh nh\u1ea5t th\u1ebf gi\u1edbi<\/a><\/strong><\/p>\n

2. C\u00e1ch NVLink ho\u1ea1t \u0111\u1ed9ng<\/span><\/h2>\n

2.1. Truy\u1ec1n d\u1eef li\u1ec7u song song tr\u00ean nhi\u1ec1u k\u00eanh<\/h3>\n

M\u1ed7i GPU \u0111\u01b0\u1ee3c trang b\u1ecb nhi\u1ec1u c\u1ed5ng NVLink. M\u1ed7i c\u1ed5ng h\u1ed7 tr\u1ee3 b\u0103ng th\u00f4ng l\u00ean t\u1edbi 50GB\/s m\u1ed7i chi\u1ec1u<\/strong>, cho ph\u00e9p truy\u1ec1n d\u1eef li\u1ec7u song song tr\u00ean nhi\u1ec1u k\u00eanh.<\/p>\n

Kh\u00e1c v\u1edbi PCIe ch\u1ec9 c\u00f3 1 \u0111\u01b0\u1eddng truy\u1ec1n d\u1eef li\u1ec7u, NVLink cho ph\u00e9p truy\u1ec1n \u0111\u1ed3ng th\u1eddi tr\u00ean nhi\u1ec1u k\u00eanh \u2192 gi\u00fap gia t\u0103ng t\u1ed1c \u0111\u1ed9, gi\u1ea3m ngh\u1ebdn b\u0103ng th\u00f4ng v\u00e0 t\u1ed1i \u01b0u lu\u1ed3ng d\u1eef li\u1ec7u GPU-GPU.<\/p>\n

2.2. B\u1ed9 nh\u1edb chia s\u1ebb \u2013 Unified Memory\/Memory Pooling<\/h3>\n

V\u1edbi NVLink, c\u00e1c GPU c\u00f3 th\u1ec3 chia s\u1ebb b\u1ed9 nh\u1edb v\u1edbi nhau m\u00e0 kh\u00f4ng c\u1ea7n sao ch\u00e9p d\u1eef li\u1ec7u. \u0110i\u1ec1u n\u00e0y gi\u00fap:<\/p>\n

– Ti\u1ebft ki\u1ec7m th\u1eddi gian x\u1eed l\u00fd khi training m\u00f4 h\u00ecnh AI l\u1edbn.<\/p>\n

– Gi\u1ea3m \u00e1p l\u1ef1c b\u1ed9 nh\u1edb tr\u00ean t\u1eebng GPU ri\u00eang l\u1ebb.<\/p>\n

– H\u1ed7 tr\u1ee3 ch\u1ea1y c\u00e1c m\u00f4 h\u00ecnh AI v\u01b0\u1ee3t qu\u00e1 dung l\u01b0\u1ee3ng VRAM c\u1ee7a 1 GPU.<\/p>\n

2.3. \u0110\u1ed9 tr\u1ec5 th\u1ea5p v\u00e0 \u0111\u1ed3ng b\u1ed9 h\u00f3a hi\u1ec7u qu\u1ea3<\/h3>\n

Nh\u1edd k\u1ebft n\u1ed1i tr\u1ef1c ti\u1ebfp, NVLink gi\u00fap gi\u1ea3m \u0111\u00e1ng k\u1ec3 \u0111\u1ed9 tr\u1ec5 trong vi\u1ec7c trao \u0111\u1ed5i d\u1eef li\u1ec7u. \u0110\u00e2y l\u00e0 y\u1ebfu t\u1ed1 then ch\u1ed1t \u0111\u1ed1i v\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng AI th\u1eddi gian th\u1ef1c, m\u00f4 ph\u1ecfng khoa h\u1ecdc, ho\u1eb7c d\u1ef1ng h\u00ecnh 3D chuy\u00ean s\u00e2u.<\/p>\n

2.4. M\u1edf r\u1ed9ng v\u1edbi NVSwitch \u2013 K\u1ebft n\u1ed1i h\u00e0ng tr\u0103m GPU<\/h3>\n

Khi h\u1ec7 th\u1ed1ng c\u1ea7n k\u1ebft n\u1ed1i nhi\u1ec1u GPU (tr\u00ean 2-4 GPU), NVLink k\u1ebft h\u1ee3p v\u1edbi NVSwitch<\/strong>. NVSwitch \u0111\u00f3ng vai tr\u00f2 l\u00e0 chip chuy\u1ec3n m\u1ea1ch gi\u00fap t\u1ea5t c\u1ea3 GPU giao ti\u1ebfp tr\u1ef1c ti\u1ebfp v\u1edbi nhau, t\u1ea1o n\u00ean b\u0103ng th\u00f4ng t\u1ed5ng h\u1ee3p l\u00ean t\u1edbi 900GB\/s.<\/p>\n

\"HGX<\/a>

HGX H200 8-GPU v\u1edbi b\u1ed1n thi\u1ebft b\u1ecb NVIDIA NVSwitch<\/p><\/div>\n

T\u00f3m T\u1eaft C\u01a1 Ch\u1ebf Ho\u1ea1t \u0110\u1ed9ng:<\/h3>\n

– Truy\u1ec1n d\u1eef li\u1ec7u song song qua nhi\u1ec1u k\u00eanh.<\/p>\n

– Chia s\u1ebb b\u1ed9 nh\u1edb nhanh ch\u00f3ng gi\u1eefa c\u00e1c GPU.<\/p>\n

– Gi\u1ea3m \u0111\u1ed9 tr\u1ec5, t\u0103ng hi\u1ec7u su\u1ea5t \u0111\u1ed3ng b\u1ed9.<\/p>\n

– H\u1ed7 tr\u1ee3 m\u1edf r\u1ed9ng v\u1edbi nhi\u1ec1u GPU th\u00f4ng qua NVSwitch.<\/p>\n

NVLink l\u00e0 n\u1ec1n t\u1ea3ng c\u1ed1t l\u00f5i gi\u00fap c\u00e1c h\u1ec7 th\u1ed1ng AI, HPC v\u00e0 \u0111\u1ed3 h\u1ecda chuy\u00ean s\u00e2u ho\u1ea1t \u0111\u1ed9ng m\u01b0\u1ee3t m\u00e0 v\u00e0 hi\u1ec7u qu\u1ea3 h\u01a1n so v\u1edbi PCIe.<\/p>\n

3. \u1ee8ng d\u1ee5ng th\u1ef1c t\u1ebf c\u1ee7a NVLink<\/span><\/h2>\n

3.1. Hu\u1ea5n luy\u1ec7n AI m\u00f4 h\u00ecnh l\u1edbn (Large Model Training)<\/h3>\n

NVLink cho ph\u00e9p k\u1ebft n\u1ed1i nhi\u1ec1u GPU th\u00e0nh m\u1ed9t c\u1ee5m m\u1ea1nh m\u1ebd, h\u1ed7 tr\u1ee3 x\u1eed l\u00fd c\u00e1c m\u00f4 h\u00ecnh AI ph\u1ee9c t\u1ea1p nh\u01b0 GPT, BERT, ho\u1eb7c Llama v\u1edbi h\u00e0ng t\u1ef7 tham s\u1ed1. Nh\u1edd chia s\u1ebb b\u1ed9 nh\u1edb v\u00e0 gi\u1ea3m th\u1eddi gian truy\u1ec1n d\u1eef li\u1ec7u, n\u00f3 gi\u00fap r\u00fat ng\u1eafn th\u1eddi gian hu\u1ea5n luy\u1ec7n t\u1eeb v\u00e0i tu\u1ea7n xu\u1ed1ng ch\u1ec9 v\u00e0i ng\u00e0y. C\u00e1c h\u1ec7 th\u1ed1ng nh\u01b0 NVIDIA DGX t\u00edch h\u1ee3p NVLink l\u00e0 l\u1ef1a ch\u1ecdn h\u00e0ng \u0111\u1ea7u cho c\u00e1c n\u1ec1n t\u1ea3ng AI nh\u01b0 PyTorch v\u00e0 TensorFlow.<\/p>\n

3.2. Trung t\u00e2m d\u1eef li\u1ec7u AI & HPC (High Performance Computing)<\/h3>\n

NVLink \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong c\u00e1c si\u00eau m\u00e1y t\u00ednh nh\u01b0 Selene, Fugaku, ho\u1eb7c Summit, n\u01a1i h\u00e0ng ngh\u00ecn GPU c\u1ea7n truy\u1ec1n d\u1eef li\u1ec7u v\u1edbi \u0111\u1ed9 tr\u1ec5 t\u1ed1i thi\u1ec3u. C\u00f4ng ngh\u1ec7 n\u00e0y h\u1ed7 tr\u1ee3 x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 ph\u1ee9c t\u1ea1p nh\u01b0 m\u00f4 ph\u1ecfng kh\u00ed h\u1eadu, nghi\u00ean c\u1ee9u y sinh, ho\u1eb7c ph\u00e2n t\u00edch t\u00e0i ch\u00ednh.<\/p>\n

3.3. Render \u0111\u1ed3 h\u1ecda chuy\u00ean nghi\u1ec7p<\/h3>\n

C\u00e1c ng\u00e0nh c\u00f4ng nghi\u1ec7p s\u00e1ng t\u1ea1o nh\u01b0 s\u1ea3n xu\u1ea5t phim, game, ho\u1eb7c hi\u1ec7u \u1ee9ng \u0111\u1eb7c bi\u1ec7t (VFX) s\u1eed d\u1ee5ng NVLink \u0111\u1ec3 k\u1ebft n\u1ed1i nhi\u1ec1u GPU RTX\/Quadro, gi\u00fap render h\u00ecnh \u1ea3nh ch\u1ea5t l\u01b0\u1ee3ng cao trong th\u1eddi gian ng\u1eafn. NVLink cho ph\u00e9p chia s\u1ebb kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c v\u00e0 d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh m\u01b0\u1ee3t m\u00e0 gi\u1eefa c\u00e1c GPU.<\/p>\n

3.4. \u1ee8ng d\u1ee5ng AI trong doanh nghi\u1ec7p (Enterprise AI)<\/h3>\n

NVLink l\u00e0 h\u1ea1 t\u1ea7ng l\u00fd t\u01b0\u1edfng cho c\u00e1c doanh nghi\u1ec7p trong l\u0129nh v\u1ef1c:<\/p>\n

– Ng\u00e2n h\u00e0ng, b\u1ea3o hi\u1ec3m, t\u00e0i ch\u00ednh (ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn, d\u1ef1 \u0111o\u00e1n th\u1ecb tr\u01b0\u1eddng).<\/p>\n

– Y t\u1ebf (AI ch\u1ea9n \u0111o\u00e1n h\u00ecnh \u1ea3nh, d\u1eef li\u1ec7u sinh h\u1ecdc).<\/p>\n

– S\u1ea3n xu\u1ea5t, c\u00f4ng nghi\u1ec7p 4.0.<\/p>\n

– Tri\u1ec3n khai AI n\u1ed9i b\u1ed9 nh\u01b0 Chatbot, RPA, ph\u00e2n t\u00edch d\u1eef li\u1ec7u.<\/p>\n

3.5. Ph\u1ea7n m\u1ec1m t\u1ed1i \u01b0u \u0111a GPU<\/h3>\n

C\u00e1c n\u1ec1n t\u1ea3ng nh\u01b0 CUDA, cuDNN, NCCL \u0111\u01b0\u1ee3c NVIDIA t\u1ed1i \u01b0u \u0111\u1ec3 t\u1eadn d\u1ee5ng b\u0103ng th\u00f4ng c\u1ee7a NVLink. C\u00e1c th\u01b0 vi\u1ec7n n\u00e0y gi\u00fap qu\u1ea3n l\u00fd d\u1eef li\u1ec7u v\u00e0 \u0111\u1ed3ng b\u1ed9 GPU t\u1ef1 \u0111\u1ed9ng, gi\u00fap vi\u1ec7c tri\u1ec3n khai m\u00f4 h\u00ecnh AI tr\u00ean nhi\u1ec1u GPU tr\u1edf n\u00ean d\u1ec5 d\u00e0ng.<\/p>\n

4. C\u00e1c th\u1ebf h\u1ec7 NVLink qua c\u00e1c n\u0103m<\/span><\/h2>\n
\"C\u00e1c<\/a>

C\u00e1c th\u1ebf h\u1ec7 NVlink qua t\u1eebng n\u0103m<\/p><\/div>\n

NVIDIA li\u00ean t\u1ee5c c\u1ea3i ti\u1ebfn NVLink qua c\u00e1c th\u1ebf h\u1ec7:<\/p>\n\n\n\n\n\n\n\n\n\n
Th\u1ebf h\u1ec7<\/th>\nGPU \u1ee9ng d\u1ee5ng<\/th>\nB\u0103ng th\u00f4ng t\u1ed1i \u0111a\/GPU<\/th>\nN\u0103m ra m\u1eaft<\/th>\n<\/tr>\n<\/thead>\n
NVLink 1.0<\/td>\nTesla P100 (Pascal)<\/td>\n~160 GB\/s<\/td>\n2016<\/td>\n<\/tr>\n
NVLink 2.0<\/td>\nTesla V100 (Volta)<\/td>\n~300 GB\/s<\/td>\n2017<\/td>\n<\/tr>\n
NVLink 3.0<\/td>\nA100 (Ampere)<\/td>\n~600 GB\/s<\/td>\n2020<\/td>\n<\/tr>\n
NVLink 4.0<\/td>\nH100 (Hopper)<\/td>\n~900 GB\/s<\/td>\n2022<\/td>\n<\/tr>\n
NVLink 5.0<\/td>\nB100, B200 (Blackwell)<\/td>\n~1.8 TB\/s<\/td>\n2024<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

T\u1eeb 2025, NVIDIA c\u00f2n ra m\u1eaft NVLink Fusion<\/strong>, h\u1ed7 tr\u1ee3 k\u1ebft n\u1ed1i kh\u00f4ng ch\u1ec9 GPU m\u00e0 c\u1ea3 CPU v\u00e0 accelerator t\u1eeb c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t kh\u00e1c, gi\u00fap m\u1edf r\u1ed9ng h\u1ec7 sinh th\u00e1i AI \u0111a d\u1ea1ng h\u01a1n.<\/p>\n

5. NVLink v\u00e0 PCIe \u2013 \u0110\u00e2u l\u00e0 s\u1ef1 kh\u00e1c bi\u1ec7t?<\/span><\/h2>\n\n\n\n\n\n\n\n\n\n\n
Ti\u00eau ch\u00ed<\/th>\nNVLink<\/th>\nPCI Express (PCIe)<\/th>\n<\/tr>\n<\/thead>\n
Nh\u00e0 ph\u00e1t tri\u1ec3n<\/td>\nNVIDIA<\/td>\nPCI-SIG<\/td>\n<\/tr>\n
B\u0103ng th\u00f4ng t\u1ed1i \u0111a<\/td>\nL\u00ean \u0111\u1ebfn 1.8 TB\/s (NVLink 5.0)<\/td>\nPCIe 6.0: ~128 GB\/s<\/td>\n<\/tr>\n
\u0110\u1ed9 tr\u1ec5<\/td>\nR\u1ea5t th\u1ea5p, t\u1ed1i \u01b0u cho \u0111a GPU<\/td>\nCao h\u01a1n, kh\u00f4ng t\u1ed1i \u01b0u cho GPU \u0111a nhi\u1ec7m<\/td>\n<\/tr>\n
M\u1edf r\u1ed9ng<\/td>\nC\u1ef1c m\u1ea1nh v\u1edbi NVSwitch<\/td>\nH\u1ea1n ch\u1ebf do bus v\u00e0 s\u1ed1 lane<\/td>\n<\/tr>\n
T\u00ednh ph\u1ed5 bi\u1ebfn<\/td>\nD\u00f9ng trong m\u00e1y ch\u1ee7 AI cao c\u1ea5p<\/td>\nR\u1ea5t ph\u1ed5 bi\u1ebfn tr\u00ean PC, server ti\u00eau chu\u1ea9n<\/td>\n<\/tr>\n
\u1ee8ng d\u1ee5ng<\/td>\nAI, HPC, Deep Learning, Render 3D<\/td>\nPC, workstation, server<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

NVLink l\u00e0 c\u00f4ng ngh\u1ec7 c\u1ed1t l\u00f5i trong c\u00e1c h\u1ec7 th\u1ed1ng AI hi\u1ec7n \u0111\u1ea1i, mang l\u1ea1i hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i v\u00e0 kh\u1ea3 n\u0103ng chia s\u1ebb d\u1eef li\u1ec7u t\u1ed1i \u01b0u so v\u1edbi PCIe. \u0110\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn kh\u00f4ng th\u1ec3 thi\u1ebfu cho c\u00e1c h\u1ec7 th\u1ed1ng \u0111a GPU v\u00e0 h\u1ea1 t\u1ea7ng AI.<\/p>\n

>> Xem th\u00eam: Server AI l\u00e0 g\u00ec? T\u1ea5t c\u1ea3 nh\u1eefng \u0111i\u1ec1u b\u1ea1n c\u1ea7n bi\u1ebft v\u1ec1 m\u00e1y ch\u1ee7 AI<\/a><\/strong><\/p>\n

6. Nh\u00e0 cung c\u1ea5p d\u1ecbch v\u1ee5 cho thu\u00ea Server AI uy t\u00edn, ch\u1ea5t l\u01b0\u1ee3ng<\/span><\/h2>\n

VNSO l\u00e0 nh\u00e0 cung c\u1ea5p gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng AI h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam, chuy\u00ean cho thu\u00ea m\u00e1y ch\u1ee7 AI<\/a> t\u00edch h\u1ee3p c\u00f4ng ngh\u1ec7 NVLink t\u1eeb NVIDIA. V\u1edbi s\u1ef1 h\u1ee3p t\u00e1c chi\u1ebfn l\u01b0\u1ee3c c\u00f9ng NVIDIA v\u00e0 c\u00e1c \u0111\u1ed1i t\u00e1c c\u00f4ng ngh\u1ec7 to\u00e0n c\u1ea7u, VNSO mang \u0111\u1ebfn gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng AI m\u1ea1nh m\u1ebd, ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u c\u1ee7a doanh nghi\u1ec7p Vi\u1ec7t Nam.<\/p>\n

V\u1edbi kinh nghi\u1ec7m tri\u1ec3n khai nhi\u1ec1u d\u1ef1 \u00e1n AI, VNSO cam k\u1ebft mang \u0111\u1ebfn cho kh\u00e1ch h\u00e0ng:<\/p>\n

– H\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 GPU NVIDIA t\u1ed1i \u01b0u NVLink.<\/p>\n

– T\u01b0 v\u1ea5n gi\u1ea3i ph\u00e1p AI ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u th\u1ef1c ti\u1ec5n.<\/p>\n

– D\u1ecbch v\u1ee5 h\u1ed7 tr\u1ee3 24\/7, tri\u1ec3n khai nhanh ch\u00f3ng, chi ph\u00ed h\u1ee3p l\u00fd.<\/p>\n

Li\u00ean h\u1ec7 VNSO ngay h\u00f4m nay \u0111\u1ec3 \u0111\u01b0\u1ee3c t\u01b0 v\u1ea5n mi\u1ec5n ph\u00ed gi\u1ea3i ph\u00e1p AI \u0111a GPU v\u1edbi NVLink t\u1ed1i \u01b0u cho doanh nghi\u1ec7p b\u1ea1n!<\/p>\n

C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 NVLink<\/strong><\/span><\/h3>\n

NVLink c\u00f3 thay th\u1ebf \u0111\u01b0\u1ee3c PCIe kh\u00f4ng?<\/strong>
Kh\u00f4ng ho\u00e0n to\u00e0n. PCIe v\u1eabn ph\u1ed5 bi\u1ebfn trong PC v\u00e0 server ti\u00eau chu\u1ea9n. NVLink ch\u1ee7 y\u1ebfu \u0111\u01b0\u1ee3c d\u00f9ng trong c\u00e1c h\u1ec7 th\u1ed1ng AI cao c\u1ea5p, n\u01a1i c\u1ea7n b\u0103ng th\u00f4ng cao v\u00e0 \u0111\u1ed9 tr\u1ec5 th\u1ea5p gi\u1eefa nhi\u1ec1u GPU.<\/p>\n

C\u00f3 th\u1ec3 d\u00f9ng NVLink cho m\u00e1y t\u00ednh c\u00e1 nh\u00e2n kh\u00f4ng?<\/strong>
Kh\u00f4ng. NVLink hi\u1ec7n ch\u1ec9 h\u1ed7 tr\u1ee3 tr\u00ean c\u00e1c GPU d\u00f2ng cao c\u1ea5p c\u1ee7a NVIDIA nh\u01b0 A100, H100 ho\u1eb7c RTX Quadro chuy\u00ean d\u1ee5ng, kh\u00f4ng \u00e1p d\u1ee5ng cho m\u00e1y t\u00ednh c\u00e1 nh\u00e2n th\u00f4ng th\u01b0\u1eddng.<\/p>\n

NVLink c\u00f3 gi\u00fap t\u0103ng t\u1ed1c \u0111\u1ed9 hu\u1ea5n luy\u1ec7n AI kh\u00f4ng?<\/strong>
C\u00f3. NVLink h\u1ed7 tr\u1ee3 chia s\u1ebb b\u1ed9 nh\u1edb v\u00e0 truy\u1ec1n d\u1eef li\u1ec7u nhanh gi\u1eefa c\u00e1c GPU, gi\u00fap hu\u1ea5n luy\u1ec7n c\u00e1c m\u00f4 h\u00ecnh AI l\u1edbn nh\u01b0 GPT, BERT hi\u1ec7u qu\u1ea3 h\u01a1n r\u1ea5t nhi\u1ec1u so v\u1edbi ch\u1ec9 d\u00f9ng PCIe.<\/p>\n

S\u1ef1 kh\u00e1c bi\u1ec7t l\u1edbn nh\u1ea5t gi\u1eefa NVLink v\u00e0 PCIe l\u00e0 g\u00ec?<\/strong>
NVLink c\u00f3 b\u0103ng th\u00f4ng cao h\u01a1n nhi\u1ec1u (l\u00ean \u0111\u1ebfn 1.8 TB\/s), \u0111\u1ed9 tr\u1ec5 th\u1ea5p, v\u00e0 h\u1ed7 tr\u1ee3 k\u1ebft n\u1ed1i tr\u1ef1c ti\u1ebfp GPU-GPU. Trong khi \u0111\u00f3, PCIe b\u1ecb gi\u1edbi h\u1ea1n b\u1edfi s\u1ed1 lane v\u00e0 \u0111\u1ed9 tr\u1ec5 cao h\u01a1n.<\/p>\n

Doanh nghi\u1ec7p n\u00e0o n\u00ean d\u00f9ng h\u1ec7 th\u1ed1ng c\u00f3 NVLink?<\/strong>
Doanh nghi\u1ec7p c\u1ea7n x\u1eed l\u00fd AI, m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y l\u1edbn, ph\u00e2n t\u00edch d\u1eef li\u1ec7u, m\u00f4 ph\u1ecfng, d\u1ef1ng h\u00ecnh ho\u1eb7c c\u00f3 nhu c\u1ea7u tri\u1ec3n khai AI n\u1ed9i b\u1ed9 \u2013 \u0111\u1ec1u s\u1ebd h\u01b0\u1edfng l\u1ee3i t\u1eeb h\u1ec7 th\u1ed1ng c\u00f3 NVLink.<\/p>\n

C\u00f3 c\u1ea7n ph\u1ea7n m\u1ec1m \u0111\u1eb7c bi\u1ec7t \u0111\u1ec3 s\u1eed d\u1ee5ng NVLink kh\u00f4ng?<\/strong>
Kh\u00f4ng c\u1ea7n c\u00e0i th\u00eam. Nh\u01b0ng \u0111\u1ec3 khai th\u00e1c t\u1ed1i \u0111a NVLink, n\u00ean d\u00f9ng c\u00e1c th\u01b0 vi\u1ec7n AI \u0111\u01b0\u1ee3c NVIDIA t\u1ed1i \u01b0u nh\u01b0 CUDA, cuDNN, ho\u1eb7c NCCL \u0111\u1ec3 qu\u1ea3n l\u00fd d\u1eef li\u1ec7u \u0111a GPU hi\u1ec7u qu\u1ea3.<\/p>\n

Contact Information<\/b><\/h2>\n

\u0110\u1ec3 t\u00ecm hi\u1ec3u th\u00f4ng tin v\u1ec1 gi\u1ea3i ph\u00e1p Cloud Computing, m\u00e1y ch\u1ee7 \u1ea3o, m\u00e1y ch\u1ee7 v\u1eadt l\u00fd, CDN… 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

VNSO TECHNOLOGY CO., LTD \u2013 SINCE 2015<\/strong><\/p>\n

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\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":"

C\u00f4ng ngh\u1ec7 NVLink c\u1ee7a NVIDIA l\u1ea7n \u0111\u1ea7u \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u v\u00e0o n\u0103m 2016 c\u00f9ng v\u1edbi GPU Tesla P100, nh\u01b0ng h\u00e0nh tr\u00ecnh ph\u00e1t tri\u1ec3n \u0111\u00e3 b\u1eaft \u0111\u1ea7u t\u1eeb 2014. Trong b\u1ed1i c\u1ea3nh AI, si\u00eau m\u00e1y t\u00ednh v\u00e0 c\u00e1c \u1ee9ng d\u1ee5ng x\u1eed l\u00fd d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p b\u00f9ng n\u1ed5, NVLink ch\u00ednh l\u00e0 ch\u00eca kh\u00f3a gi\u00fap gi\u1ea3i quy\u1ebft […]<\/p>","protected":false},"author":6,"featured_media":22583,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[533],"tags":[513,511],"yoast_head":"\nNVLink l\u00e0 g\u00ec? Kh\u00e1m ph\u00e1 c\u00f4ng ngh\u1ec7 k\u1ebft n\u1ed1i si\u00eau t\u1ed1c c\u1ee7a NVIDIA<\/title>\n<meta name=\"description\" content=\"Kh\u00e1m ph\u00e1 NVIDIA NVLink \u2013 c\u00f4ng ngh\u1ec7 then ch\u1ed1t trong h\u1ea1 t\u1ea7ng AI, t\u0103ng t\u1ed1c truy\u1ec1n d\u1eef li\u1ec7u gi\u1eefa GPU, gi\u1ea3m ngh\u1ebdn, n\u00e2ng cao hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/vnso.vn\/en\/nvlink-la-gi\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVLink l\u00e0 g\u00ec? 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