{"id":22782,"date":"2025-08-14T15:16:25","date_gmt":"2025-08-14T08:16:25","guid":{"rendered":"https:\/\/vnso.vn\/?p=22782"},"modified":"2025-08-19T16:23:13","modified_gmt":"2025-08-19T09:23:13","slug":"server-ai-giai-phap-tinh-toan-manh-me-hang-san-gia-canh-tranh","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/server-ai-giai-phap-tinh-toan-manh-me-hang-san-gia-canh-tranh\/","title":{"rendered":"Server AI \u2013 Gi\u1ea3i ph\u00e1p t\u00ednh to\u00e1n m\u1ea1nh m\u1ebd, h\u00e0ng s\u1eb5n, gi\u00e1 c\u1ea1nh tranh"},"content":{"rendered":"

B\u1ea1n c\u00f3 bi\u1ebft, ch\u1ec9 ri\u00eang vi\u1ec7c hu\u1ea5n luy\u1ec7n m\u1ed9t m\u00f4 h\u00ecnh AI nh\u01b0 GPT-3 \u0111\u00e3 ti\u00eau t\u1ed1n h\u01a1n 3,640 GPU A100<\/strong> ch\u1ea1y li\u00ean t\u1ee5c trong nhi\u1ec1u tu\u1ea7n?<\/span>
Trong th\u1eddi \u0111\u1ea1i tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o ph\u00e1t tri\u1ec3n b\u00f9ng n\u1ed5, c\u00e1c d\u1ef1 \u00e1n AI \u2013 t\u1eeb ph\u00e2n t\u00edch d\u1eef li\u1ec7u kh\u1ed1i l\u01b0\u1ee3ng l\u1edbn<\/strong>, x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP)<\/strong>, cho \u0111\u1ebfn th\u1ecb gi\u00e1c m\u00e1y t\u00ednh (Computer Vision)<\/strong> \u2013 \u0111\u1ec1u c\u1ea7n m\u1ed9t h\u1ea1 t\u1ea7ng t\u00ednh to\u00e1n m\u1ea1nh m\u1ebd h\u01a1n bao gi\u1edd h\u1ebft.<\/span><\/p>\n

V\u00e0 \u0111\u00f3 l\u00e0 l\u00fac Server AI<\/strong> xu\u1ea5t hi\u1ec7n nh\u01b0 \u201cc\u1ed7 m\u00e1y chi\u1ebfn\u201d gi\u00fap doanh nghi\u1ec7p b\u1ee9t ph\u00e1, r\u00fat ng\u1eafn th\u1eddi gian hu\u1ea5n luy\u1ec7n t\u1eeb v\u00e0i th\u00e1ng xu\u1ed1ng ch\u1ec9 c\u00f2n v\u00e0i ng\u00e0y, th\u1eadm ch\u00ed v\u00e0i gi\u1edd.<\/span><\/p>\n

1. Server AI kh\u00e1c g\u00ec so v\u1edbi m\u00e1y ch\u1ee7 th\u00f4ng th\u01b0\u1eddng?<\/strong><\/span><\/h2>\n
\"\"

Si\u00eau m\u00e1y ch\u1ee7 AI<\/span><\/em><\/p><\/div>\n

Kh\u00f4ng ph\u1ea3i c\u1ee9 c\u00f3 server l\u00e0 ch\u1ea1y \u0111\u01b0\u1ee3c AI. Server AI<\/strong> \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1eb7c bi\u1ec7t cho kh\u1ed1i l\u01b0\u1ee3ng t\u00ednh to\u00e1n c\u1ef1c l\u1edbn v\u00e0 x\u1eed l\u00fd song song d\u1eef li\u1ec7u \u1edf t\u1ed1c \u0111\u1ed9 cao:<\/span><\/p>\n

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    GPU chuy\u00ean d\u1ee5ng<\/strong>: NVIDIA RTX 4090, A100, H100\u2026 v\u1edbi h\u00e0ng ch\u1ee5c ngh\u00ecn nh\u00e2n CUDA v\u00e0 Tensor Core, t\u1ed1i \u01b0u cho hu\u1ea5n luy\u1ec7n v\u00e0 suy lu\u1eadn AI.<\/span><\/p>\n<\/li>\n

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    CPU hi\u1ec7u n\u0103ng cao<\/strong>: Intel Xeon ho\u1eb7c AMD EPYC \u2013 \u0111\u1ea3m b\u1ea3o \u0111i\u1ec1u ph\u1ed1i d\u1eef li\u1ec7u m\u01b0\u1ee3t m\u00e0.<\/span><\/p>\n<\/li>\n

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    RAM dung l\u01b0\u1ee3ng l\u1edbn<\/strong>: T\u1eeb 256GB tr\u1edf l\u00ean, \u0111\u00e1p \u1ee9ng y\u00eau c\u1ea7u x\u1eed l\u00fd m\u00f4 h\u00ecnh AI ph\u1ee9c t\u1ea1p.<\/span><\/p>\n<\/li>\n

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    \u1ed4 c\u1ee9ng t\u1ed1c \u0111\u1ed9 cao<\/strong>: NVMe SSD gi\u1ea3m thi\u1ec3u \u0111\u1ed9 tr\u1ec5, t\u0103ng t\u1ed1c \u0111\u1ed9 \u0111\u1ecdc ghi d\u1eef li\u1ec7u.<\/span><\/p>\n<\/li>\n<\/ul>\n

    So v\u1edbi server truy\u1ec1n th\u1ed1ng<\/strong>, m\u1ed9t server ch\u1ea1y AI<\/strong> c\u00f3 th\u1ec3 nhanh h\u01a1n g\u1ea5p 10-50 l\u1ea7n khi x\u1eed l\u00fd c\u00f9ng m\u1ed9t t\u00e1c v\u1ee5 hu\u1ea5n luy\u1ec7n.<\/span><\/p>\n

    2. Ch\u1ecdn \u0111\u00fang lo\u1ea1i Server AI cho t\u1eebng nhu c\u1ea7u<\/strong><\/span><\/h2>\n
    \"\"

    Nvidia DGX H200 m\u00e1y ch\u1ee7 AI cho trung t\u00e2m d\u1eef li\u1ec7u hi\u1ec7n \u0111\u1ea1i<\/span><\/em><\/p><\/div>\n

    Kh\u00f4ng ph\u1ea3i d\u1ef1 \u00e1n n\u00e0o c\u0169ng c\u1ea7n c\u1ea5u h\u00ecnh \u201cmax\u201d H100. Vi\u1ec7c ch\u1ecdn server ch\u1ea1y AI<\/strong> \u0111\u00fang nhu c\u1ea7u s\u1ebd gi\u00fap ti\u1ebft ki\u1ec7m chi ph\u00ed m\u00e0 v\u1eabn \u0111\u1ea3m b\u1ea3o hi\u1ec7u n\u0103ng.<\/span><\/p>\n

    1.1. D\u1ef1 \u00e1n AI quy m\u00f4 nh\u1ecf, startup c\u00f4ng ngh\u1ec7<\/strong><\/span><\/h3>\n
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      Solutions<\/strong>: Server GPU PCIe v\u1edbi 1\u20132 GPU RTX 4090 ho\u1eb7c RTX 6000 ADA.<\/span><\/p>\n<\/li>\n

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      \u01afu \u0111i\u1ec3m<\/strong>: Chi ph\u00ed \u0111\u1ea7u t\u01b0 th\u1ea5p, d\u1ec5 n\u00e2ng c\u1ea5p, ph\u00f9 h\u1ee3p th\u1eed nghi\u1ec7m \u00fd t\u01b0\u1edfng v\u00e0 MVP (Minimum Viable Product).<\/span><\/p>\n<\/li>\n<\/ul>\n

      1.2. AI chuy\u00ean s\u00e2u \u2013 LLM, GenAI, NLP<\/strong><\/span><\/h3>\n
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        Solutions<\/strong>: Server NVIDIA A100 40GB\/80GB.<\/span><\/p>\n<\/li>\n

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        \u01afu \u0111i\u1ec3m<\/strong>: T\u1ed1i \u01b0u cho training m\u00f4 h\u00ecnh l\u1edbn, gi\u1ea3m th\u1eddi gian hu\u1ea5n luy\u1ec7n \u0111\u00e1ng k\u1ec3.<\/span><\/p>\n<\/li>\n<\/ul>\n

        1.3. AI Farm & x\u1eed l\u00fd d\u1eef li\u1ec7u kh\u1ed1i l\u01b0\u1ee3ng c\u1ef1c l\u1edbn<\/strong><\/span><\/h3>\n
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          Solutions<\/strong>: Server multi-GPU HGX ho\u1eb7c 4x H100 SXM.<\/span><\/p>\n<\/li>\n

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          \u01afu \u0111i\u1ec3m<\/strong>: K\u1ebft n\u1ed1i GPU t\u1ed1c \u0111\u1ed9 cao, b\u0103ng th\u00f4ng n\u1ed9i b\u1ed9 kh\u1ee7ng, ph\u00f9 h\u1ee3p AI trung t\u00e2m d\u1eef li\u1ec7u ho\u1eb7c doanh nghi\u1ec7p AI to\u00e0n c\u1ea7u.<\/span><\/p>\n<\/li>\n<\/ul>\n

          3. B\u1ea3ng Gi\u00e1 Thu\u00ea Server AI 2025 T\u1ea1i VNSO<\/span><\/h2>\n

          B\u1ea3ng gi\u00e1 \u0111\u01b0\u1ee3c c\u1eadp nh\u1eadt minh b\u1ea1ch, h\u1ed7 tr\u1ee3 t\u01b0 v\u1ea5n c\u1ea5u h\u00ecnh ph\u00f9 h\u1ee3p v\u1edbi t\u1eebng nhu c\u1ea7u c\u1ee7a kh\u00e1ch h\u00e0ng, doanh nghi\u1ec7p.<\/span><\/p>\n

          Server GPU V100 \u2013 Dell R740XD – 24 Bay 2.5 – Gi\u00e1 ch\u1ec9 t\u1eeb 22.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + C\u1ea5u h\u00ecnh g\u1ed3m GPU Nvidia Tesla V100 32GB, RAM 64GB, 4 \u1ed5 SSD t\u1ed1c \u0111\u1ed9 cao.<\/span><\/p>\n

          + Ph\u00f9 h\u1ee3p cho c\u00e1c t\u00e1c v\u1ee5 AI, Machine Learning, v\u00e0 t\u00ednh to\u00e1n hi\u1ec7u n\u0103ng cao.<\/span><\/p>\n

          Server GPU 4090 \u2013\u00a0 Dell POWEREDGE R750XA (8×2.5″) – Gi\u00e1 ch\u1ec9 t\u1eeb 29.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + Trang b\u1ecb GPU NVIDIA RTX 4090 24GB, RAM 256GB, SSD NVMe t\u1ed1c \u0111\u1ed9 cao.<\/span><\/p>\n

          + T\u1ed1i \u01b0u cho AI Generative, LLM, x\u1eed l\u00fd \u0111\u1ed3 h\u1ecda v\u00e0 d\u1ef1ng phim chuy\u00ean nghi\u1ec7p.<\/span><\/p>\n

          Server GPU 2×4090 – Dell POWEREDGE R750XA (8×2.5″) \u2013 Hi\u1ec7u su\u1ea5t v\u01b0\u1ee3t tr\u1ed9i, Gi\u00e1 ch\u1ec9 t\u1eeb 40.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + S\u1edf h\u1eefu 2 GPU RTX 4090, RAM 256GB, SSD NVMe, c\u1ea5u h\u00ecnh l\u00fd t\u01b0\u1edfng cho GPU Farm, AI Training, m\u00f4 ph\u1ecfng 3D.<\/span><\/p>\n

          + Khai th\u00e1c t\u1ed1i \u0111a s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n.<\/span><\/p>\n

          Server GPU 5880 \u2013\u00a0 PowerEdge R750XA 8 Bay 2.5 Server – Gi\u00e1 t\u1eeb 51.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + Trang b\u1ecb GPU NVIDIA RTX 5880 ADA 48GB<\/span><\/p>\n

          + T\u1ed1i \u01b0u cho AI inference, d\u1ef1ng h\u00ecnh 3D, k\u1ebft xu\u1ea5t \u0111\u1ed3 h\u1ecda n\u1eb7ng.<\/span><\/p>\n

          Server GPU 6000 \u2013 PowerEdge R750XA 8 Bay 2.5 Server – Gi\u00e1 t\u1eeb 53.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + GPU m\u1ea1nh m\u1ebd RTX 6000 ADA 48GB, RAM 256GB ECC.<\/span><\/p>\n

          + L\u00fd t\u01b0\u1edfng cho m\u00f4 ph\u1ecfng k\u1ef9 thu\u1eadt, x\u1eed l\u00fd h\u00ecnh \u1ea3nh y t\u1ebf, training AI.<\/span><\/p>\n

          Server A100 40G \u2013 PowerEdge R750 8 Bay 2.5 Server – Gi\u00e1 t\u1eeb 61.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + GPU NVIDIA A100 40GB \u2013 d\u00f2ng chuy\u00ean bi\u1ec7t cho AI Training & Deep Learning.<\/span><\/p>\n

          + Kh\u1ea3 n\u0103ng x\u1eed l\u00fd v\u01b0\u1ee3t tr\u1ed9i cho c\u00e1c m\u00f4 h\u00ecnh LLM quy m\u00f4 v\u1eeba.<\/span><\/p>\n

          Server A100 80G \u2013 PowerEdge R750 8 Bay 2.5 Server – Gi\u00e1 t\u1eeb 99.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + GPU A100 80GB \u2013 b\u1ed9 nh\u1edb l\u1edbn, h\u1ed7 tr\u1ee3 training c\u00e1c m\u00f4 h\u00ecnh AI l\u1edbn.<\/span><\/p>\n

          + Ph\u00f9 h\u1ee3p cho trung t\u00e2m nghi\u00ean c\u1ee9u, tr\u01b0\u1eddng \u0111\u1ea1i h\u1ecdc, vi\u1ec7n AI.<\/span><\/p>\n

          Server H100 80G \u2013 PowerEdge R750XA 8 Bay 2.5 Server – Gi\u00e1 t\u1eeb 137.000.000 VN\u0110<\/strong><\/span><\/p>\n

          + GPU cao c\u1ea5p nh\u1ea5t NVIDIA H100 80GB PCIe, h\u1ed7 tr\u1ee3 LLM, AI generative m\u1ea1nh m\u1ebd.<\/span><\/p>\n

          + Ph\u1ee5c v\u1ee5 c\u00e1c b\u00e0i to\u00e1n l\u1edbn: ChatGPT, BERT, ViT, Transformer…<\/span><\/p>\n

          Server 4xH100 80G \u2013 PowerEdge R750XA 8 Bay 2.5 Server – Gi\u00e1 t\u1eeb 492.500.000 VN\u0110<\/strong><\/span><\/p>\n

          + Trang b\u1ecb 4 GPU H100 80GB, RAM 128GB ECC \u2013 c\u1ef1c k\u1ef3 l\u00fd t\u01b0\u1edfng cho GPU farm, cloud AI, LLM multi-node.<\/span><\/p>\n

          + C\u00f4ng su\u1ea5t x\u1eed l\u00fd \u0111\u1ec9nh cao cho doanh nghi\u1ec7p AI ti\u00ean phong.<\/span><\/p>\n

          4. V\u00ec sao doanh nghi\u1ec7p n\u00ean \u0111\u1ea7u t\u01b0 Server AI ngay b\u00e2y gi\u1edd?<\/strong><\/span><\/h2>\n

          T\u0103ng t\u1ed1c nghi\u00ean c\u1ee9u & ra m\u1eaft s\u1ea3n ph\u1ea9m AI<\/strong>: Th\u1eddi gian hu\u1ea5n luy\u1ec7n r\u00fat ng\u1eafn \u0111\u1ed3ng ngh\u0129a v\u1edbi th\u1eddi gian \u0111\u01b0a s\u1ea3n ph\u1ea9m ra th\u1ecb tr\u01b0\u1eddng nhanh h\u01a1n.<\/span><\/p>\n

          Gi\u1ea3m chi ph\u00ed d\u00e0i h\u1ea1n<\/strong>: T\u1ed1i \u01b0u ph\u1ea7n c\u1ee9ng gi\u00fap ti\u1ebft ki\u1ec7m \u0111i\u1ec7n n\u0103ng v\u00e0 nh\u00e2n l\u1ef1c v\u1eadn h\u00e0nh.<\/span><\/p>\n

          Linh ho\u1ea1t m\u1edf r\u1ed9ng<\/strong>: T\u1eeb 1 GPU l\u00ean 4 – 8 GPU m\u00e0 kh\u00f4ng c\u1ea7n thay \u0111\u1ed5i to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng.<\/span><\/p>\n

          \u0110\u00f3n \u0111\u1ea7u xu h\u01b0\u1edbng AI<\/strong>: Theo McKinsey, AI c\u00f3 th\u1ec3 \u0111\u00f3ng g\u00f3p 4.4 ngh\u00ecn t\u1ef7 USD\/n\u0103m<\/strong> v\u00e0o GDP to\u00e0n c\u1ea7u trong th\u1eadp k\u1ef7 t\u1edbi.<\/span><\/p>\n

          5. L\u1eddi k\u1ebft<\/strong><\/span><\/h2>\n

          D\u00f9 b\u1ea1n l\u00e0 startup \u0111ang th\u1eed nghi\u1ec7m \u00fd t\u01b0\u1edfng AI hay t\u1eadp \u0111o\u00e0n \u0111ang v\u1eadn h\u00e0nh h\u1ec7 th\u1ed1ng AI quy m\u00f4 l\u1edbn, Server AI<\/strong> ch\u00ednh l\u00e0 n\u1ec1n t\u1ea3ng h\u1ea1 t\u1ea7ng kh\u00f4ng th\u1ec3 thi\u1ebfu.<\/span>
          H\u00e3y l\u1ef1a ch\u1ecdn gi\u1eefa mua<\/strong> ho\u1eb7c thu\u00ea m\u00e1y ch\u1ee7 ch\u1ea1y AI<\/strong> t\u00f9y theo chi\u1ebfn l\u01b0\u1ee3c, nh\u01b0ng \u0111\u1eebng \u0111\u1ec3 \u0111\u1ed1i th\u1ee7 v\u01b0\u1ee3t m\u1eb7t ch\u1ec9 v\u00ec h\u1ea1 t\u1ea7ng t\u00ednh to\u00e1n ch\u1eadm h\u01a1n.<\/span><\/p>\n

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