{"id":24561,"date":"2026-05-11T15:18:43","date_gmt":"2026-05-11T08:18:43","guid":{"rendered":"https:\/\/vnso.vn\/?p=24561"},"modified":"2026-05-14T14:05:56","modified_gmt":"2026-05-14T07:05:56","slug":"nvidia-a100-huong-dan-thue-gpu","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/nvidia-a100-huong-dan-thue-gpu\/","title":{"rendered":"Nvidia A100 \u2013 H\u01b0\u1edbng D\u1eabn Thu\u00ea GPU A100 40GB V\u00e0 Gi\u1ea3i \u0110\u00e1p C\u00e1c C\u00e2u H\u1ecfi Th\u01b0\u1eddng G\u1eb7p"},"content":{"rendered":"

Nvidia A100<\/strong> \u0111ang l\u00e0 m\u1ed9t trong nh\u1eefng d\u00f2ng GPU AI \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng ph\u1ed5 bi\u1ebfn nh\u1ea5t hi\u1ec7n nay cho Deep Learning, Machine Learning v\u00e0 Large Language Model (LLM). D\u00f9 th\u1ecb tr\u01b0\u1eddng \u0111\u00e3 xu\u1ea5t hi\u1ec7n H100 hay Blackwell th\u1ebf h\u1ec7 m\u1edbi, A100 v\u1eabn \u0111\u01b0\u1ee3c r\u1ea5t nhi\u1ec1u doanh nghi\u1ec7p, AI startup v\u00e0 developer l\u1ef1a ch\u1ecdn nh\u1edd hi\u1ec7u n\u0103ng m\u1ea1nh, VRAM l\u1edbn v\u00e0 chi ph\u00ed d\u1ec5 ti\u1ebfp c\u1eadn h\u01a1n \u0111\u00e1ng k\u1ec3.<\/p>\n

\u0110\u1eb7c bi\u1ec7t, xu h\u01b0\u1edbng thu\u00ea Cloud GPU Nvidia A100 theo gi\u1edd \u0111ang ph\u00e1t tri\u1ec3n r\u1ea5t nhanh t\u1ea1i Vi\u1ec7t Nam. Thay v\u00ec \u0111\u1ea7u t\u01b0 server GPU v\u1edbi chi ph\u00ed h\u00e0ng tr\u0103m tri\u1ec7u \u0111\u1ed3ng, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 kh\u1edfi t\u1ea1o GPU ch\u1ec9 trong v\u00e0i ph\u00fat \u0111\u1ec3 train model, deploy chatbot AI ho\u1eb7c ch\u1ea1y inference.<\/p>\n

Trong b\u00e0i vi\u1ebft n\u00e0y, ch\u00fang ta s\u1ebd c\u00f9ng t\u00ecm hi\u1ec3u c\u00e1ch thu\u00ea Nvidia A100 40GB, m\u1ee9c gi\u00e1 ph\u1ed5 bi\u1ebfn hi\u1ec7n nay v\u00e0 nh\u1eefng c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p khi s\u1eed d\u1ee5ng Cloud GPU A100.<\/p>\n

Nvidia A100 l\u00e0 g\u00ec?<\/h2>\n

\"\"<\/p>\n

Nvidia A100<\/a> l\u00e0 GPU datacenter \u0111\u01b0\u1ee3c NVIDIA ph\u00e1t tri\u1ec3n tr\u00ean ki\u1ebfn tr\u00fac Ampere nh\u1eb1m t\u1ed1i \u01b0u cho c\u00e1c t\u00e1c v\u1ee5 AI v\u00e0 t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao. Kh\u00e1c v\u1edbi c\u00e1c d\u00f2ng RTX d\u00e0nh cho gaming, A100 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c workload AI quy m\u00f4 l\u1edbn v\u1edbi kh\u1ea3 n\u0103ng ho\u1ea1t \u0111\u1ed9ng \u1ed5n \u0111\u1ecbnh 24\/7 trong m\u00f4i tr\u01b0\u1eddng server.<\/p>\n

GPU n\u00e0y hi\u1ec7n \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng ph\u1ed5 bi\u1ebfn trong:<\/p>\n

– AI Training<\/p>\n

– AI Inference<\/p>\n

– Fine-tune LLM<\/p>\n

– Stable Diffusion<\/p>\n

– Computer Vision<\/p>\n

– HPC<\/p>\n

– Big Data Analytics<\/p>\n

\u0110i\u1ec3m m\u1ea1nh l\u1edbn nh\u1ea5t c\u1ee7a Nvidia A100 n\u1eb1m \u1edf Tensor Core, VRAM l\u1edbn v\u00e0 memory bandwidth r\u1ea5t cao. \u0110\u00e2y l\u00e0 c\u00e1c y\u1ebfu t\u1ed1 \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp t\u1edbi t\u1ed1c \u0111\u1ed9 training c\u0169ng nh\u01b0 kh\u1ea3 n\u0103ng x\u1eed l\u00fd AI model.<\/p>\n

Hi\u1ec7n nay, A100 c\u00f3 hai phi\u00ean b\u1ea3n ph\u1ed5 bi\u1ebfn:<\/p>\n

–\u00a0 Nvidia A100 40GB<\/p>\n

–\u00a0 Nvidia A100 80GB<\/p>\n

Trong \u0111\u00f3, A100 40GB l\u00e0 phi\u00ean b\u1ea3n \u0111\u01b0\u1ee3c thu\u00ea nhi\u1ec1u nh\u1ea5t v\u00ec t\u1ed1i \u01b0u t\u1ed1t gi\u1eefa hi\u1ec7u n\u0103ng v\u00e0 chi ph\u00ed.<\/p>\n

V\u00ec sao nhi\u1ec1u doanh nghi\u1ec7p l\u1ef1a ch\u1ecdn thu\u00ea Nvidia A100 thay v\u00ec mua server?<\/h2>\n

Tr\u01b0\u1edbc \u0111\u00e2y, mu\u1ed1n s\u1eed d\u1ee5ng Nvidia A100, doanh nghi\u1ec7p g\u1ea7n nh\u01b0 b\u1eaft bu\u1ed9c ph\u1ea3i \u0111\u1ea7u t\u01b0 server GPU ri\u00eang. Tuy nhi\u00ean chi ph\u00ed cho m\u1ed9t h\u1ec7 th\u1ed1ng AI d\u00f9ng A100 kh\u00f4ng h\u1ec1 nh\u1ecf.<\/p>\n

Ngo\u00e0i GPU, doanh nghi\u1ec7p c\u00f2n ph\u1ea3i \u0111\u1ea7u t\u01b0: Server<\/a>, CPU, RAM, SSD NVMe, Cooling, \u0110i\u1ec7n n\u0103ng, Networking, Maintenance. T\u1ed5ng chi ph\u00ed c\u00f3 th\u1ec3 l\u00ean t\u1edbi h\u00e0ng tr\u0103m tri\u1ec7u ho\u1eb7c th\u1eadm ch\u00ed h\u00e0ng t\u1ef7 \u0111\u1ed3ng n\u1ebfu tri\u1ec3n khai multi-GPU. \u0110\u00f3 l\u00e0 l\u00fd do Cloud GPU tr\u1edf th\u00e0nh xu h\u01b0\u1edbng ph\u1ed5 bi\u1ebfn h\u01a1n trong v\u00e0i n\u0103m g\u1ea7n \u0111\u00e2y. Thay v\u00ec \u0111\u1ea7u t\u01b0 l\u1edbn ban \u0111\u1ea7u, ng\u01b0\u1eddi d\u00f9ng ch\u1ec9 c\u1ea7n thu\u00ea Nvidia A100 theo gi\u1edd ho\u1eb7c theo ng\u00e0y \u0111\u1ec3 s\u1eed d\u1ee5ng \u0111\u00fang nhu c\u1ea7u th\u1ef1c t\u1ebf.<\/p>\n

\u0110i\u1ec1u n\u00e0y gi\u00fap: Ti\u1ebft ki\u1ec7m chi ph\u00ed \u0111\u1ea7u t\u01b0, tri\u1ec3n khai AI nhanh h\u01a1n, Scale GPU linh ho\u1ea1t, t\u1ed1i \u01b0u d\u00f2ng ti\u1ec1n. \u0110\u1eb7c bi\u1ec7t v\u1edbi AI startup ho\u1eb7c team R&D, thu\u00ea Cloud GPU gi\u00fap th\u1eed nghi\u1ec7m v\u00e0 ph\u00e1t tri\u1ec3n s\u1ea3n ph\u1ea9m nhanh h\u01a1n r\u1ea5t nhi\u1ec1u.<\/p>\n

Nvidia A100 40GB ph\u00f9 h\u1ee3p v\u1edbi nhu c\u1ea7u n\u00e0o?<\/h2>\n

A100 40GB l\u00e0 l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p cho ph\u1ea7n l\u1edbn AI workload hi\u1ec7n nay. V\u1edbi VRAM 40GB, GPU n\u00e0y c\u00f3 th\u1ec3 x\u1eed l\u00fd t\u1ed1t: Fine-tune model AI, OCR, Stable Diffusion, Chatbot AI, AI Agent, NLP, Computer Vision,…<\/p>\n

N\u1ebfu kh\u00f4ng l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c LLM c\u1ef1c l\u1edbn ho\u1eb7c workload multi-GPU ph\u1ee9c t\u1ea1p, A100 40GB th\u01b0\u1eddng \u0111\u00e3 \u0111\u1ee7 m\u1ea1nh cho \u0111a s\u1ed1 nhu c\u1ea7u doanh nghi\u1ec7p. \u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do nhi\u1ec1u kh\u00e1ch h\u00e0ng \u01b0u ti\u00ean A100 40GB h\u01a1n A100 80GB \u0111\u1ec3 t\u1ed1i \u01b0u chi ph\u00ed v\u1eadn h\u00e0nh.<\/p>\n

C\u00e1ch thu\u00ea Nvidia A100 40GB<\/h1>\n

\"\"<\/p>\n

Hi\u1ec7n nay vi\u1ec7c thu\u00ea Cloud GPU Nvidia A100 kh\u00e1 \u0111\u01a1n gi\u1ea3n. Thay v\u00ec ph\u1ea3i setup server v\u1eadt l\u00fd ph\u1ee9c t\u1ea1p, ng\u01b0\u1eddi d\u00f9ng ch\u1ec9 c\u1ea7n th\u1ef1c hi\u1ec7n m\u1ed9t v\u00e0i thao t\u00e1c d\u01b0\u1edbi \u0111\u00e2y l\u00e0 \u0111\u00e3 b\u1eaft \u0111\u1ea7u s\u1eed d\u1ee5ng.<\/p>\n

Th\u00f4ng th\u01b0\u1eddng quy tr\u00ecnh s\u1ebd g\u1ed3m c\u00e1c b\u01b0\u1edbc:<\/em><\/strong><\/p>\n

– T\u1ea1o t\u00e0i kho\u1ea3n cloud GPU<\/p>\n

– N\u1ea1p ti\u1ec1n v\u00e0o h\u1ec7 th\u1ed1ng<\/p>\n

– Ch\u1ecdn c\u1ea5u h\u00ecnh A100 40GB<\/p>\n

– Kh\u1edfi t\u1ea1o instance<\/p>\n

– K\u1ebft n\u1ed1i SSH ho\u1eb7c JupyterLab<\/p>\n

– Upload dataset v\u00e0 train model<\/p>\n

T\u1ea1i VNSO, h\u1ec7 th\u1ed1ng y\u00eau c\u1ea7u n\u1ea1p t\u1ed1i thi\u1ec3u 1 tri\u1ec7u \u0111\u1ed3ng \u0111\u1ec3 k\u00edch ho\u1ea1t t\u00e0i kho\u1ea3n Cloud GPU. \u0110\u00e2y l\u00e0 m\u1ee9c ph\u1ed5 bi\u1ebfn nh\u1eb1m \u0111\u1ea3m b\u1ea3o t\u00e0i nguy\u00ean GPU lu\u00f4n s\u1eb5n s\u00e0ng cho kh\u00e1ch h\u00e0ng s\u1eed d\u1ee5ng.<\/p>\n

Sau khi t\u1ea1o GPU, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 deploy AI g\u1ea7n nh\u01b0 ngay l\u1eadp t\u1ee9c v\u00ec m\u00f4i tr\u01b0\u1eddng \u0111\u00e3 \u0111\u01b0\u1ee3c c\u00e0i s\u1eb5n: CUDA, PyTorch, TensorFlow, Hugging Face, vLLM, Ollama, Stable Diffusion WebUI,…<\/p>\n

Ngo\u00e0i ra c\u00f2n c\u00f3 kho AI Models h\u1ed7 tr\u1ee3 tri\u1ec3n khai nhanh c\u00e1c model ph\u1ed5 bi\u1ebfn nh\u01b0: Gemma 4, Qwen, DeepSeek, Mistral, Whisper,… \u0110i\u1ec1u n\u00e0y gi\u00fap ti\u1ebft ki\u1ec7m r\u1ea5t nhi\u1ec1u th\u1eddi gian setup. B\u1ea1n c\u0169ng c\u00f3 th\u1ec3 xem h\u01b0\u1edbng d\u1eabn \u0111\u0103ng k\u00fd d\u1ecbch v\u1ee5 thu\u00ea Cloud GPU A100 theo gi\u1edd t\u1ea1i \u0111\u00e2y: https:\/\/gpu.vnso.vn\/user-guide<\/a><\/p>\n

Gi\u00e1 thu\u00ea Nvidia A100 40GB hi\u1ec7n nay bao nhi\u00eau?<\/h2>\n

\"\"<\/p>\n

Hi\u1ec7n nay, gi\u00e1 thu\u00ea Nvidia A100 40GB t\u1ea1i Vi\u1ec7t Nam dao \u0111\u1ed9ng kho\u1ea3ng 59.000\u0111 m\u1ed7i gi\u1edd<\/strong>, kho\u1ea3ng 1,2 tri\u1ec7u \u0111\u1ed3ng m\u1ed7i ng\u00e0y<\/strong> v\u00e0 kho\u1ea3ng 6,7 tri\u1ec7u \u0111\u1ed3ng cho g\u00f3i thu\u00ea theo tu\u1ea7n<\/strong>. M\u1ee9c gi\u00e1 n\u00e0y c\u00f3 th\u1ec3 thay \u0111\u1ed5i t\u00f9y v\u00e0o c\u1ea5u h\u00ecnh CPU, RAM, SSD NVMe ho\u1eb7c lo\u1ea1i h\u1ea1 t\u1ea7ng s\u1eed d\u1ee5ng nh\u01b0 VM hay bare metal.<\/p>\n

N\u1ebfu ch\u1ec9 c\u1ea7n test model, benchmark ho\u1eb7c ch\u1ea1y workload ng\u1eafn trong v\u00e0i gi\u1edd, h\u00ecnh th\u1ee9c thu\u00ea theo gi\u1edd<\/strong><\/a> s\u1ebd gi\u00fap ti\u1ebft ki\u1ec7m chi ph\u00ed h\u01a1n v\u00ec ch\u1ec9 tr\u1ea3 \u0111\u00fang th\u1eddi gian s\u1eed d\u1ee5ng th\u1ef1c t\u1ebf. Tuy nhi\u00ean, v\u1edbi c\u00e1c t\u00e1c v\u1ee5 AI ch\u1ea1y li\u00ean t\u1ee5c nh\u01b0 fine-tune model, train LLM ho\u1eb7c build dataset nhi\u1ec1u ng\u00e0y, g\u00f3i theo ng\u00e0y ho\u1eb7c theo tu\u1ea7n s\u1ebd t\u1ed1i \u01b0u h\u01a1n \u0111\u00e1ng k\u1ec3.<\/p>\n

V\u00ed d\u1ee5, n\u1ebfu ch\u1ea1y li\u00ean t\u1ee5c 24 gi\u1edd theo gi\u00e1 gi\u1edd, t\u1ed5ng chi ph\u00ed c\u00f3 th\u1ec3 cao h\u01a1n so v\u1edbi thu\u00ea nguy\u00ean ng\u00e0y. T\u01b0\u01a1ng t\u1ef1, khi training k\u00e9o d\u00e0i c\u1ea3 tu\u1ea7n, g\u00f3i thu\u00ea tu\u1ea7n th\u01b0\u1eddng ti\u1ebft ki\u1ec7m h\u01a1n kho\u1ea3ng 20\u201325% so v\u1edbi c\u1ed9ng d\u1ed3n t\u1eebng ng\u00e0y ri\u00eang l\u1ebb.<\/p>\n

\u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do ph\u1ea7n l\u1edbn AI startup ho\u1eb7c team machine learning th\u01b0\u1eddng ch\u1ecdn g\u00f3i tu\u1ea7n khi tri\u1ec3n khai workload d\u00e0i h\u1ea1n \u0111\u1ec3 t\u1ed1i \u01b0u ng\u00e2n s\u00e1ch v\u1eadn h\u00e0nh AI.<\/p>\n

Ngo\u00e0i c\u00e1c g\u00f3i ng\u1eafn h\u1ea1n, kh\u00e1ch h\u00e0ng c\u0169ng c\u00f3 th\u1ec3 thu\u00ea Nvidia A100 theo th\u00e1ng<\/a> <\/strong>\u0111\u1ec3 ti\u1ebft ki\u1ec7m h\u01a1n cho nhu c\u1ea7u AI production ho\u1eb7c workload ch\u1ea1y 24\/7. B\u00ean c\u1ea1nh A100 40GB v\u00e0 80GB, VNSO c\u00f2n h\u1ed7 tr\u1ee3 nhi\u1ec1u d\u00f2ng GPU kh\u00e1c nh\u01b0 RTX 3060, P100, L4, L40, RTX 6000 Ada, H100 hay Blackwell 6000 v\u1edbi h\u00ecnh th\u1ee9c thu\u00ea linh ho\u1ea1t theo gi\u1edd, ng\u00e0y, tu\u1ea7n ho\u1eb7c th\u00e1ng t\u00f9y nhu c\u1ea7u s\u1eed d\u1ee5ng th\u1ef1c t\u1ebf.<\/p>\n

Xem th\u00eam c\u1ea5u h\u00ecnh v\u00e0 b\u1ea3ng gi\u00e1 GPU t\u1ea1i: thuegpu.vnso.vn<\/a><\/p>\n

>> Xem th\u00eam: <\/strong>Nvidia A100 \u2013 B\u00e1o Gi\u00e1 Thu\u00ea GPU A100 40GB & 80GB Theo Gi\u1edd<\/a><\/strong><\/p>\n

Nh\u1eefng c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p khi thu\u00ea Nvidia A100<\/h2>\n

Thu\u00ea GPU t\u00ednh ph\u00ed nh\u01b0 th\u1ebf n\u00e0o?<\/h3>\n

B\u1ea1n n\u1ea1p ti\u1ec1n v\u00e0o v\u00ed v\u00e0 h\u1ec7 th\u1ed1ng s\u1ebd tr\u1eeb ph\u00ed theo chu k\u1ef3 b\u1ea1n ch\u1ecdn (gi\u1edd \/ ng\u00e0y \/ tu\u1ea7n \/ th\u00e1ng). Ch\u1ec9 tr\u1ea3 cho th\u1eddi gian s\u1eed d\u1ee5ng th\u1ef1c t\u1ebf, c\u00f3 th\u1ec3 d\u1eebng thu\u00ea b\u1ea5t c\u1ee9 l\u00fac n\u00e0o.<\/p>\n

M\u1ea5t bao l\u00e2u \u0111\u1ec3 s\u1eed d\u1ee5ng GPU?<\/h3>\n

Ch\u1ec9 m\u1ea5t v\u00e0i gi\u00e2y! Sau khi x\u00e1c nh\u1eadn \u0111\u01a1n thu\u00ea, h\u1ec7 th\u1ed1ng s\u1ebd kh\u1edfi t\u1ea1o GPU v\u00e0 cung c\u1ea5p th\u00f4ng tin SSH \u0111\u1ec3 b\u1ea1n k\u1ebft n\u1ed1i ngay l\u1eadp t\u1ee9c.<\/p>\n

D\u1eef li\u1ec7u c\u1ee7a t\u00f4i c\u00f3 an to\u00e0n kh\u00f4ng?<\/strong><\/h3>\n

M\u1ed7i phi\u00ean thu\u00ea \u0111\u01b0\u1ee3c c\u00e1ch ly ho\u00e0n to\u00e0n. Kh\u00f4ng ai c\u00f3 th\u1ec3 truy c\u1eadp d\u1eef li\u1ec7u c\u1ee7a b\u1ea1n. Tuy nhi\u00ean, khi k\u1ebft th\u00fac phi\u00ean thu\u00ea, d\u1eef li\u1ec7u s\u1ebd b\u1ecb x\u00f3a v\u0129nh vi\u1ec5n, h\u00e3y sao l\u01b0u tr\u01b0\u1edbc khi d\u1eebng.<\/p>\n

H\u1ed7 tr\u1ee3 nh\u1eefng Framework AI n\u00e0o?<\/h3>\n

T\u1ea5t c\u1ea3 m\u00e1y khi thu\u00ea \u0111\u1ec1u \u0111\u01b0\u1ee3c VNSO c\u00e0i s\u1eb5n CUDA, cuDNN, Python 3, PyTorch, TensorFlow, OpenCV v\u00e0 nhi\u1ec1u c\u00f4ng c\u1ee5 AI kh\u00e1c. B\u1ea1n c\u00f3 th\u1ec3 c\u00e0i th\u00eam b\u1ea5t k\u1ef3 th\u01b0 vi\u1ec7n n\u00e0o qua pip\/uv.<\/p>\n

L\u00e0m th\u1ebf n\u00e0o \u0111\u1ec3 m\u1edf port ra internet?<\/h3>\n

Ch\u00fang t\u00f4i c\u00f3 ch\u1ee9c n\u0103ng m\u1edf port trong ph\u1ea7n qu\u1ea3n l\u00fd phi\u00ean thu\u00ea, qu\u00e1 tr\u00ecnh n\u00e0y s\u1ebd m\u1ea5t v\u00e0i ph\u00fat \u0111\u1ec3 ho\u00e0n t\u1ea5t, v\u00e0 s\u1ebd t\u1ef1 \u0111\u1ed9ng c\u1ea5p ph\u00e1t d\u1ea1ng domain v\u1edbi SSL.<\/p>\n

H\u1ebft ti\u1ec1n trong v\u00ed th\u00ec phi\u00ean thu\u00ea c\u00f3 b\u1ecb d\u1eebng kh\u00f4ng?<\/h3>\n

Khi h\u1ebft chu k\u1ef3, h\u1ec7 th\u1ed1ng s\u1ebd t\u1ef1 \u0111\u1ed9ng gia h\u1ea1n n\u1ebfu v\u00ed c\u00f2n \u0111\u1ee7 s\u1ed1 d\u01b0. N\u1ebfu kh\u00f4ng \u0111\u1ee7, phi\u00ean thu\u00ea s\u1ebd t\u1ef1 \u0111\u1ed9ng d\u1eebng. B\u1ea1n s\u1ebd nh\u1eadn c\u1ea3nh b\u00e1o tr\u01b0\u1edbc khi s\u1ed1 d\u01b0 s\u1eafp h\u1ebft.<\/p>\n

T\u00f4i c\u00f3 \u0111\u01b0\u1ee3c xu\u1ea5t VAT kh\u00f4ng?<\/h3>\n

C\u00f3! B\u1ea1n c\u00f3 th\u1ec3 xu\u1ea5t h\u00f3a \u0111\u01a1n \u0111i\u1ec7n t\u1eed (VAT) cho m\u1ecdi giao d\u1ecbch n\u1ea1p ti\u1ec1n. Ch\u1ec9 c\u1ea7n c\u1eadp nh\u1eadt th\u00f4ng tin c\u00e1 nh\u00e2n\/c\u00f4ng ty trong h\u1ed3 s\u01a1 v\u00e0 ch\u1ecdn xu\u1ea5t h\u00f3a \u0111\u01a1n t\u1ea1i L\u1ecbch s\u1eed n\u1ea1p.<\/p>\n

>> Xem th\u00eam: NVIDIA A100 gi\u00e1 thu\u00ea \u2013 H\u00e0ng s\u1eb5n kho, tri\u1ec3n khai trong 30 ph\u00fat<\/a><\/strong><\/p>\n

K\u1ebft lu\u1eadn<\/h2>\n

Nvidia A100<\/strong> v\u1eabn l\u00e0 m\u1ed9t trong nh\u1eefng l\u1ef1a ch\u1ecdn Cloud GPU<\/strong> h\u00e0ng \u0111\u1ea7u cho doanh nghi\u1ec7p v\u00e0 c\u00e1 nh\u00e2n \u0111ang tri\u1ec3n khai AI, t\u1eeb fine-tune model, x\u00e2y d\u1ef1ng chatbot AI \u0111\u1ebfn v\u1eadn h\u00e0nh c\u00e1c h\u1ec7 th\u1ed1ng LLM production. V\u1edbi l\u1ee3i th\u1ebf hi\u1ec7u n\u0103ng m\u1ea1nh, VRAM l\u1edbn v\u00e0 kh\u1ea3 n\u0103ng thu\u00ea linh ho\u1ea1t theo gi\u1edd, ng\u00e0y, tu\u1ea7n ho\u1eb7c th\u00e1ng, A100 gi\u00fap t\u1ed1i \u01b0u c\u1ea3 t\u1ed1c \u0111\u1ed9 tri\u1ec3n khai l\u1eabn chi ph\u00ed \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng.<\/p>\n

N\u1ebfu b\u1ea1n \u0111ang t\u00ecm ki\u1ebfm d\u1ecbch v\u1ee5 thu\u00ea GPU Nvidia A100 40GB<\/strong> ho\u1eb7c A100 80GB<\/strong> \u1ed5n \u0111\u1ecbnh, tri\u1ec3n khai nhanh v\u00e0 c\u00f3 s\u1eb5n th\u01b0 vi\u1ec7n AI c\u00f9ng kho models \u0111\u1ec3 b\u1eaft \u0111\u1ea7u ngay, VNSO l\u00e0 l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p. \u0110\u1ed9i ng\u0169 k\u1ef9 thu\u1eadt c\u1ee7a VNSO s\u1eb5n s\u00e0ng t\u01b0 v\u1ea5n c\u1ea5u h\u00ecnh GPU theo \u0111\u00fang nhu c\u1ea7u workload, gi\u00fap b\u1ea1n ch\u1ecdn \u0111\u00fang d\u00f2ng card v\u00e0 t\u1ed1i \u01b0u ng\u00e2n s\u00e1ch hi\u1ec7u qu\u1ea3 nh\u1ea5t.<\/p>\n

Li\u00ean h\u1ec7 VNSO \u0111\u1ec3 \u0111\u01b0\u1ee3c t\u01b0 v\u1ea5n v\u00e0 tr\u1ea3i nghi\u1ec7m Cloud GPU ngay h\u00f4m nay t\u1ea1i: gpu.vnso.vn<\/a><\/p>\n

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