{"id":24300,"date":"2026-04-10T16:05:18","date_gmt":"2026-04-10T09:05:18","guid":{"rendered":"https:\/\/vnso.vn\/?p=24300"},"modified":"2026-04-10T16:29:57","modified_gmt":"2026-04-10T09:29:57","slug":"top-10-thuong-hieu-may-chu-ai-tot-nhat-the-gioi","status":"publish","type":"post","link":"https:\/\/vnso.vn\/en\/top-10-thuong-hieu-may-chu-ai-tot-nhat-the-gioi\/","title":{"rendered":"Top 10 th\u01b0\u01a1ng hi\u1ec7u m\u00e1y ch\u1ee7 AI t\u1ed1t nh\u1ea5t th\u1ebf gi\u1edbi 2026"},"content":{"rendered":"

Th\u1ecb tr\u01b0\u1eddng m\u00e1y ch\u1ee7 AI \u0111ang b\u01b0\u1edbc v\u00e0o giai \u0111o\u1ea1n t\u0103ng tr\u01b0\u1edfng m\u1ea1nh ch\u01b0a t\u1eebng c\u00f3, khi AI kh\u00f4ng c\u00f2n l\u00e0 th\u1eed nghi\u1ec7m m\u00e0 tr\u1edf th\u00e0nh h\u1ea1 t\u1ea7ng c\u1ed1t l\u00f5i c\u1ee7a doanh nghi\u1ec7p. N\u0103m 2026, quy m\u00f4 th\u1ecb tr\u01b0\u1eddng AI server \u01b0\u1edbc \u0111\u1ea1t g\u1ea7n 60 t\u1ef7 USD<\/strong> v\u00e0 c\u00f3 th\u1ec3 ch\u1ea1m m\u1ed1c h\u01a1n 269 t\u1ef7 USD<\/strong> v\u00e0o 2035, v\u1edbi t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng kho\u1ea3ng 18%<\/strong> m\u1ed7i n\u0103m.<\/p>\n

\u0110i\u1ec3m \u0111\u00e1ng ch\u00fa \u00fd l\u00e0 AI server \u0111\u00e3 tr\u1edf th\u00e0nh m\u1ed9t h\u1ec7 sinh th\u00e1i g\u1ed3m GPU, networking, cooling v\u00e0 ph\u1ea7n m\u1ec1m. \u0110i\u1ec1u n\u00e0y khi\u1ebfn cu\u1ed9c \u0111ua gi\u1eefa c\u00e1c th\u01b0\u01a1ng hi\u1ec7u l\u1edbn kh\u00f4ng ch\u1ec9 l\u00e0 hi\u1ec7u n\u0103ng, m\u00e0 l\u00e0 kh\u1ea3 n\u0103ng tri\u1ec3n khai AI \u1edf quy m\u00f4 th\u1ef1c t\u1ebf.<\/p>\n

C\u00f9ng VNSO<\/a> t\u00ecm hi\u1ec3u chi ti\u1ebft Top 10 h\u00e3ng m\u00e1y ch\u1ee7 AI t\u1ed1t nh\u1ea5t th\u1ebf gi\u1edbi n\u0103m 2026, \u0111\u1ed3ng th\u1eddi ph\u00e2n t\u00edch \u0111i\u1ec3m m\u1ea1nh, h\u1ea1n ch\u1ebf v\u00e0 c\u00e1ch l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p v\u1edbi t\u1eebng m\u00f4 h\u00ecnh doanh nghi\u1ec7p.<\/p>\n

M\u00e1y ch\u1ee7 AI l\u00e0 g\u00ec v\u00e0 v\u00ec sao doanh nghi\u1ec7p c\u1ea7n?<\/h2>\n

AI server l\u00e0 h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o nh\u01b0 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh, inference v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn. Kh\u00e1c v\u1edbi server truy\u1ec1n th\u1ed1ng, AI server s\u1eed d\u1ee5ng GPU ho\u1eb7c accelerator chuy\u00ean d\u1ee5ng, k\u1ebft h\u1ee3p v\u1edbi b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao (HBM) v\u00e0 ki\u1ebfn tr\u00fac t\u1ed1i \u01b0u cho song song h\u00f3a.<\/p>\n

Trong b\u1ed1i c\u1ea3nh AI b\u00f9ng n\u1ed5, nhu c\u1ea7u n\u00e0y t\u0103ng nhanh \u0111\u1ebfn m\u1ee9c GPU server market d\u1ef1 ki\u1ebfn t\u0103ng t\u1eeb kho\u1ea3ng 42 t\u1ef7 USD n\u0103m 2025 l\u00ean h\u01a1n 266 t\u1ef7 USD v\u00e0o 2035, t\u01b0\u01a1ng \u0111\u01b0\u01a1ng CAGR h\u01a1n 20%.<\/p>\n

\u0110i\u1ec1u n\u00e0y gi\u1ea3i th\u00edch v\u00ec sao c\u00e1c doanh nghi\u1ec7p, t\u1eeb startup AI \u0111\u1ebfn t\u1eadp \u0111o\u00e0n l\u1edbn, \u0111\u1ec1u ph\u1ea3i \u0111\u1ea7u t\u01b0 ho\u1eb7c thu\u00ea h\u1ea1 t\u1ea7ng AI (AI infrastructure) thay v\u00ec d\u00f9ng server truy\u1ec1n th\u1ed1ng.<\/p>\n

Ti\u00eau ch\u00ed \u0111\u00e1nh gi\u00e1 m\u1ed9t th\u01b0\u01a1ng hi\u1ec7u m\u00e1y ch\u1ee7 AI t\u1ed1t<\/h3>\n

Th\u1ee9 nh\u1ea5t l\u00e0 kh\u1ea3 n\u0103ng t\u00edch h\u1ee3p GPU v\u00e0 h\u1ec7 sinh th\u00e1i AI<\/strong>. M\u1ed9t h\u1ec7 th\u1ed1ng m\u1ea1nh ph\u1ea3i h\u1ed7 tr\u1ee3 GPU nh\u01b0 NVIDIA A100, H100, B200, c\u00f9ng c\u00e1c c\u00f4ng ngh\u1ec7 nh\u01b0 NVLink ho\u1eb7c NVSwitch \u0111\u1ec3 scale hi\u1ec7u n\u0103ng.<\/p>\n

Th\u1ee9 hai l\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng<\/strong>. AI kh\u00f4ng ch\u1ea1y tr\u00ean 1 server m\u00e0 ch\u1ea1y tr\u00ean cluster h\u00e0ng ch\u1ee5c \u0111\u1ebfn h\u00e0ng ngh\u00ecn node. Vendor m\u1ea1nh l\u00e0 vendor c\u00f3 th\u1ec3 tri\u1ec3n khai \u1edf quy m\u00f4 hyperscale.<\/p>\n

Ti\u1ebfp theo l\u00e0 l\u00e0m m\u00e1t v\u00e0 m\u1eadt \u0111\u1ed9 t\u00ednh to\u00e1n<\/strong>. AI server hi\u1ec7n \u0111\u1ea1i c\u00f3 th\u1ec3 \u0111\u1ea1t h\u00e0ng tr\u0103m kW m\u1ed7i rack, bu\u1ed9c ph\u1ea3i s\u1eed d\u1ee5ng liquid cooling thay v\u00ec air cooling truy\u1ec1n th\u1ed1ng.<\/p>\n

Cu\u1ed1i c\u00f9ng l\u00e0 h\u1ec7 sinh th\u00e1i v\u00e0 d\u1ecbch v\u1ee5<\/strong>. \u0110\u00e2y l\u00e0 y\u1ebfu t\u1ed1 ph\u00e2n bi\u1ec7t r\u00f5 nh\u1ea5t gi\u1eefa c\u00e1c h\u00e3ng: ai cung c\u1ea5p \u0111\u01b0\u1ee3c full stack t\u1eeb ph\u1ea7n c\u1ee9ng \u0111\u1ebfn tri\u1ec3n khai s\u1ebd chi\u1ebfm \u01b0u th\u1ebf.<\/p>\n

T\u00f3m t\u1eaft nhanh v\u1ec1 Top 10 h\u00e3ng m\u00e1y ch\u1ee7 AI m\u1ea1nh nh\u1ea5t 2026<\/h3>\n

Kh\u00f4ng c\u00f3 l\u1ef1a ch\u1ecdn \u201ct\u1ed1t nh\u1ea5t tuy\u1ec7t \u0111\u1ed1i\u201d, quan tr\u1ecdng l\u00e0 ph\u00f9 h\u1ee3p v\u1edbi quy m\u00f4, workload v\u00e0 ng\u00e2n s\u00e1ch<\/strong>.<\/p>\n

– Enterprise<\/strong>: Dell, HPE m\u1ea1nh v\u1ec1 h\u1ec7 sinh th\u00e1i, d\u1ec5 scale l\u1edbn<\/p>\n

– AI thu\u1ea7n<\/strong>: NVIDIA, Supermicro t\u1ed1i \u01b0u training & hi\u1ec7u n\u0103ng cao<\/p>\n

– Chi ph\u00ed \/ hi\u1ec7u n\u0103ng<\/strong>: Lenovo, Gigabyte, ASUS ph\u00f9 h\u1ee3p SME<\/p>\n

– Hyperscale<\/strong>: Inspur tri\u1ec3n khai quy m\u00f4 c\u1ef1c l\u1edbn<\/p>\n

– H\u1ea1 t\u1ea7ng m\u1ea1ng<\/strong>: Cisco n\u1ec1n t\u1ea3ng cho AI cluster<\/p>\n

>>> Xem th\u00eam Thu\u00ea Server GPU NVIDIA A100 PCIe 40GB ch\u1ec9 v\u1edbi 30K \u0111\/gi\u1edd<\/a><\/strong><\/p>\n

Top 10 th\u01b0\u01a1ng hi\u1ec7u m\u00e1y ch\u1ee7 AI t\u1ed1t nh\u1ea5t th\u1ebf gi\u1edbi 2026<\/h2>\n
\"Server<\/a>

Server AI Dell PowerEdge XE9680<\/p><\/div>\n

1. Dell Technologies – L\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn nh\u1ea5t cho enterprise AI<\/h3>\n

Dell Technologies<\/span><\/span> l\u00e0 nh\u00e0 cung c\u1ea5p server l\u1edbn nh\u1ea5t th\u1ebf gi\u1edbi hi\u1ec7n nay, chi\u1ebfm kho\u1ea3ng 20% th\u1ecb ph\u1ea7n AI server to\u00e0n c\u1ea7u, d\u1eabn \u0111\u1ea7u trong nh\u00f3m OEM.<\/p>\n

\u0110i\u1ec3m m\u1ea1nh c\u1ee7a Dell n\u1eb1m \u1edf quy m\u00f4 v\u00e0 kh\u1ea3 n\u0103ng tri\u1ec3n khai enterprise. H\u1ec7 th\u1ed1ng PowerEdge t\u00edch h\u1ee3p GPU NVIDIA cho ph\u00e9p tri\u1ec3n khai t\u1eeb AI nh\u1ecf \u0111\u1ebfn h\u1ec7 th\u1ed1ng training l\u1edbn. Nhu c\u1ea7u AI server c\u1ee7a Dell \u0111\u01b0\u1ee3c ghi nh\u1eadn t\u0103ng tr\u01b0\u1edfng m\u1ea1nh, v\u1edbi h\u00e0ng ch\u1ee5c t\u1ef7 USD \u0111\u01a1n h\u00e0ng backlog.<\/p>\n

Dell ph\u00f9 h\u1ee3p v\u1edbi doanh nghi\u1ec7p c\u1ea7n h\u1ea1 t\u1ea7ng \u1ed5n \u0111\u1ecbnh, c\u00f3 th\u1ec3 scale l\u1edbn v\u00e0 y\u00eau c\u1ea7u h\u1ed7 tr\u1ee3 d\u00e0i h\u1ea1n.<\/p>\n

\"HPE<\/a>

HPE Edgeline EL8000 (Hewlett Packard Enterprise)<\/p><\/div>\n

2. HPE (Hewlett Packard Enterprise)<\/h3>\n

Hewlett Packard Enterprise<\/span><\/span> \u0111\u1ee9ng th\u1ee9 hai v\u1edbi kho\u1ea3ng 15% th\u1ecb ph\u1ea7n AI server to\u00e0n c\u1ea7u.<\/p>\n

HPE kh\u00f4ng ch\u1ec9 b\u00e1n server m\u00e0 cung c\u1ea5p to\u00e0n b\u1ed9 gi\u1ea3i ph\u00e1p AI + hybrid cloud. C\u00e1c h\u1ec7 th\u1ed1ng nh\u01b0 HPE ProLiant v\u00e0 n\u1ec1n t\u1ea3ng GreenLake gi\u00fap doanh nghi\u1ec7p tri\u1ec3n khai AI theo m\u00f4 h\u00ecnh linh ho\u1ea1t, g\u1ea7n gi\u1ed1ng cloud nh\u01b0ng v\u1eabn on-premise.<\/p>\n

HPE \u0111\u1eb7c bi\u1ec7t m\u1ea1nh \u1edf c\u00e1c d\u1ef1 \u00e1n HPC v\u00e0 si\u00eau m\u00e1y t\u00ednh, n\u01a1i y\u00eau c\u1ea7u t\u00ednh to\u00e1n AI quy m\u00f4 l\u1edbn v\u00e0 \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh cao.<\/p>\n

\"M\u00e1y<\/a>

M\u00e1y ch\u1ee7 AI IBM Power 11<\/p><\/div>\n

3. IBM<\/span><\/span><\/h3>\n

IBM l\u00e0 m\u1ed9t trong nh\u1eefng h\u00e3ng l\u00e2u \u0111\u1eddi nh\u1ea5t trong th\u1ecb tr\u01b0\u1eddng server v\u00e0 v\u1eabn n\u1eb1m trong nh\u00f3m top doanh nghi\u1ec7p AI server to\u00e0n c\u1ea7u. Theo nhi\u1ec1u b\u00e1o c\u00e1o th\u1ecb tr\u01b0\u1eddng, IBM thu\u1ed9c nh\u00f3m 7 c\u00f4ng ty l\u1edbn \u0111ang n\u1eafm kho\u1ea3ng 40% th\u1ecb ph\u1ea7n AI server c\u00f9ng v\u1edbi Dell, HPE v\u00e0 NVIDIA.<\/p>\n

Th\u1ebf m\u1ea1nh c\u1ee7a IBM n\u1eb1m \u1edf ki\u1ebfn tr\u00fac ri\u00eang Power Systems (POWER9, POWER10, v\u00e0 m\u1edbi nh\u1ea5t l\u00e0 POWER11), \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u cho AI v\u1edbi NVLink, OpenCAPI v\u00e0 b\u0103ng th\u00f4ng d\u1eef li\u1ec7u cao. M\u1ed9t s\u1ed1 h\u1ec7 th\u1ed1ng nh\u01b0 AC922 cho hi\u1ec7u n\u0103ng deep learning cao h\u01a1n g\u1ea7n 4 l\u1ea7n so v\u1edbi server x86 truy\u1ec1n th\u1ed1ng trong c\u00e1c workload nh\u1ea5t \u0111\u1ecbnh.<\/p>\n

IBM ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c doanh nghi\u1ec7p l\u1edbn, ng\u00e2n h\u00e0ng, t\u1ed5 ch\u1ee9c nghi\u00ean c\u1ee9u c\u1ea7n h\u1ec7 th\u1ed1ng AI chuy\u00ean s\u00e2u, \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh cao v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p.<\/p>\n

\"M\u00e1y<\/a>

M\u00e1y ch\u1ee7 AI mini NVIDIA DGX Spark<\/p><\/div>\n

4. NVIDIA<\/h3>\n

NVIDIA<\/span><\/span> kh\u00f4ng ph\u1ea3i OEM server truy\u1ec1n th\u1ed1ng, nh\u01b0ng l\u1ea1i l\u00e0 trung t\u00e2m c\u1ee7a to\u00e0n b\u1ed9 h\u1ec7 sinh th\u00e1i AI server.<\/p>\n

C\u00e1c h\u1ec7 th\u1ed1ng nh\u01b0 DGX hay HGX g\u1ea7n nh\u01b0 tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n cho training AI. Ngo\u00e0i GPU, NVIDIA c\u00f2n ki\u1ec3m so\u00e1t networking (InfiniBand), software stack (CUDA, AI frameworks) v\u00e0 t\u1ed1i \u01b0u to\u00e0n b\u1ed9 pipeline AI.<\/p>\n

\u0110i\u1ec1u n\u00e0y khi\u1ebfn NVIDIA tr\u1edf th\u00e0nh \u201cx\u01b0\u01a1ng s\u1ed1ng\u201d c\u1ee7a h\u1ea7u h\u1ebft h\u1ec7 th\u1ed1ng AI server hi\u1ec7n \u0111\u1ea1i.<\/p>\n

5. Inspur<\/h3>\n

Inspur<\/span><\/span> l\u00e0 m\u1ed9t trong nh\u1eefng nh\u00e0 s\u1ea3n xu\u1ea5t server l\u1edbn nh\u1ea5t th\u1ebf gi\u1edbi, \u0111\u1eb7c bi\u1ec7t m\u1ea1nh t\u1ea1i th\u1ecb tr\u01b0\u1eddng Trung Qu\u1ed1c v\u00e0 c\u00e1c hyperscaler nh\u01b0 Alibaba hay Tencent.<\/p>\n

D\u00f9 kh\u00f4ng n\u1ed5i b\u1eadt trong truy\u1ec1n th\u00f4ng ph\u01b0\u01a1ng T\u00e2y, Inspur v\u1eabn chi\u1ebfm kho\u1ea3ng 12% th\u1ecb ph\u1ea7n m\u00e1y ch\u1ee7 AI to\u00e0n c\u1ea7u.<\/p>\n

Th\u1ebf m\u1ea1nh c\u1ee7a Inspur n\u1eb1m \u1edf kh\u1ea3 n\u0103ng tri\u1ec3n khai cluster AI quy m\u00f4 c\u1ef1c l\u1edbn v\u1edbi chi ph\u00ed t\u1ed1i \u01b0u.<\/p>\n

6. Lenovo<\/h3>\n

Lenovo<\/span><\/span> chi\u1ebfm kho\u1ea3ng 11% th\u1ecb ph\u1ea7n AI server v\u00e0 \u0111ang t\u0103ng tr\u01b0\u1edfng nhanh trong m\u1ea3ng n\u00e0y. H\u00e3ng Lenovo t\u1eadp trung v\u00e0o hi\u1ec7u su\u1ea5t v\u00e0 chi ph\u00ed, ph\u00f9 h\u1ee3p v\u1edbi doanh nghi\u1ec7p mu\u1ed1n tri\u1ec3n khai AI nh\u01b0ng t\u1ed1i \u01b0u ng\u00e2n s\u00e1ch. H\u00e3ng c\u0169ng c\u00f3 l\u1ee3i th\u1ebf chu\u1ed7i cung \u1ee9ng m\u1ea1nh v\u00e0 hi\u1ec7n di\u1ec7n to\u00e0n c\u1ea7u.<\/p>\n

\"Supermicro\"<\/a><\/p>\n

7. Supermicro<\/h3>\n

Supermicro<\/span><\/span> l\u00e0 c\u00e1i t\u00ean n\u1ed5i b\u1eadt nh\u1ea5t trong nh\u00f3m chuy\u00ean v\u1ec1 AI server. D\u00f9 th\u1ecb ph\u1ea7n ch\u1ec9 kho\u1ea3ng 9%, h\u00e3ng l\u1ea1i d\u1eabn \u0111\u1ea7u v\u1ec1 \u0111\u1ed5i m\u1edbi c\u00f4ng ngh\u1ec7. Supermicro n\u1ed5i ti\u1ebfng v\u1edbi ki\u1ebfn tr\u00fac modular v\u00e0 kh\u1ea3 n\u0103ng tri\u1ec3n khai nhanh c\u00e1c h\u1ec7 th\u1ed1ng GPU density cao, \u0111\u1eb7c bi\u1ec7t trong c\u00e1c cluster training AI.<\/p>\n

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8. Cisco<\/span><\/span><\/h3>\n

Cisco kh\u00f4ng ph\u1ea3i l\u00e0 nh\u00e0 s\u1ea3n xu\u1ea5t AI server theo ngh\u0129a truy\u1ec1n th\u1ed1ng, nh\u01b0ng l\u1ea1i gi\u1eef vai tr\u00f2 c\u1ef1c k\u1ef3 quan tr\u1ecdng trong h\u1ea1 t\u1ea7ng AI hi\u1ec7n \u0111\u1ea1i. H\u00e3ng l\u00e0 m\u1ed9t trong c\u00e1c t\u00ean tu\u1ed5i l\u1edbn xu\u1ea5t hi\u1ec7n trong danh s\u00e1ch c\u00f4ng ty AI server to\u00e0n c\u1ea7u v\u00e0 \u0111\u00f3ng vai tr\u00f2 \u1edf l\u1edbp networking v\u00e0 data center.<\/p>\n

\u0110i\u1ec3m \u0111\u00e1ng ch\u00fa \u00fd l\u00e0 doanh thu li\u00ean quan \u0111\u1ebfn AI infrastructure c\u1ee7a Cisco \u0111ang t\u0103ng m\u1ea1nh. C\u00f4ng ty ghi nh\u1eadn h\u01a1n 2 t\u1ef7 USD \u0111\u01a1n h\u00e0ng AI trong n\u0103m t\u00e0i ch\u00ednh 2025 v\u00e0 d\u1ef1 ki\u1ebfn \u0111\u1ea1t kho\u1ea3ng 3 t\u1ef7 USD doanh thu AI infrastructure trong 2026.<\/p>\n

Trong th\u1ef1c t\u1ebf, c\u00e1c cluster AI quy m\u00f4 l\u1edbn kh\u00f4ng th\u1ec3 v\u1eadn h\u00e0nh hi\u1ec7u qu\u1ea3 n\u1ebfu thi\u1ebfu h\u1ec7 th\u1ed1ng m\u1ea1ng t\u1ed1c \u0111\u1ed9 cao. \u0110\u00e2y l\u00e0 l\u00fd do Cisco th\u01b0\u1eddng xu\u1ea5t hi\u1ec7n trong c\u00e1c d\u1ef1 \u00e1n hyperscale AI, d\u00f9 kh\u00f4ng tr\u1ef1c ti\u1ebfp b\u00e1n GPU server.<\/p>\n

\"M\u00e1y<\/a><\/p>\n

9. Gigabyte<\/span><\/span><\/h3>\n

Gigabyte l\u00e0 m\u1ed9t trong nh\u1eefng h\u00e3ng \u0111ang n\u1ed5i l\u00ean m\u1ea1nh trong ph\u00e2n kh\u00fac AI GPU server, \u0111\u1eb7c bi\u1ec7t \u1edf th\u1ecb tr\u01b0\u1eddng doanh nghi\u1ec7p v\u1eeba v\u00e0 data center t\u1ea7m trung. H\u00e3ng n\u1eb1m trong danh s\u00e1ch c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t AI server to\u00e0n c\u1ea7u v\u00e0 c\u00f3 h\u1ec7 sinh th\u00e1i s\u1ea3n ph\u1ea9m ri\u00eang cho GPU server.<\/p>\n

Th\u00f4ng qua c\u00f4ng ty con Giga Computing, m\u1ea3ng server c\u1ee7a Gigabyte \u0111\u00e3 \u0111\u1ea1t doanh thu h\u00e0ng tr\u0103m tri\u1ec7u USD m\u1ed7i n\u0103m v\u00e0 \u0111ang t\u0103ng tr\u01b0\u1edfng nh\u1edd nhu c\u1ea7u GPU server.<\/p>\n

\u0110i\u1ec3m m\u1ea1nh c\u1ee7a Gigabyte l\u00e0 thi\u1ebft k\u1ebf modular, cho ph\u00e9p c\u1ea5u h\u00ecnh linh ho\u1ea1t nhi\u1ec1u GPU NVIDIA\/AMD, ph\u00f9 h\u1ee3p v\u1edbi doanh nghi\u1ec7p mu\u1ed1n t\u1ed1i \u01b0u chi ph\u00ed nh\u01b0ng v\u1eabn c\u1ea7n hi\u1ec7u n\u0103ng cao. C\u00e1c gi\u1ea3i ph\u00e1p n\u00e0y \u0111\u1eb7c bi\u1ec7t ph\u1ed5 bi\u1ebfn trong AI training v\u00e0 HPC quy m\u00f4 v\u1eeba.<\/p>\n

>>> Xem th\u00eam Top 10 Nh\u00e0 cung c\u1ea5p D\u1ecbch v\u1ee5 \u0110i\u1ec7n to\u00e1n \u0111\u00e1m m\u00e2y l\u1edbn nh\u1ea5t hi\u1ec7n nay<\/a><\/strong><\/p>\n

\"Asus<\/a><\/p>\n

10. ASUS<\/span><\/span><\/h3>\n

ASUS \u0111ang m\u1edf r\u1ed9ng nhanh v\u00e0o th\u1ecb tr\u01b0\u1eddng AI server th\u00f4ng qua c\u00e1c d\u00f2ng GPU server v\u00e0 workstation AI. H\u00e3ng l\u00e0 m\u1ed9t trong nh\u1eefng nh\u00e0 s\u1ea3n xu\u1ea5t \u0111\u01b0\u1ee3c ghi nh\u1eadn trong th\u1ecb tr\u01b0\u1eddng AI GPU server to\u00e0n c\u1ea7u v\u1edbi c\u00e1c d\u00f2ng s\u1ea3n ph\u1ea9m chuy\u00ean bi\u1ec7t.<\/p>\n

C\u00e1c h\u1ec7 th\u1ed1ng nh\u01b0 ESC8000 hay workstation AI m\u1edbi c\u00f3 th\u1ec3 \u0111\u1ea1t t\u1edbi h\u00e0ng ch\u1ee5c PFLOPS AI performance, s\u1eed d\u1ee5ng GPU th\u1ebf h\u1ec7 m\u1edbi nh\u01b0 NVIDIA Blackwell, h\u01b0\u1edbng \u0111\u1ebfn c\u1ea3 training v\u00e0 inference.<\/p>\n

ASUS t\u1eadp trung v\u00e0o ph\u00e2n kh\u00fac cost-performance t\u01b0\u01a1ng t\u1ef1 Gigabyte, nh\u01b0ng c\u00f3 l\u1ee3i th\u1ebf v\u1ec1 h\u1ec7 sinh th\u00e1i ph\u1ea7n c\u1ee9ng v\u00e0 R&D. \u0110i\u1ec1u n\u00e0y gi\u00fap h\u00e3ng tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn cho doanh nghi\u1ec7p m\u1edbi tri\u1ec3n khai AI ho\u1eb7c c\u1ea7n h\u1ec7 th\u1ed1ng GPU server linh ho\u1ea1t, d\u1ec5 ti\u1ebfp c\u1eadn.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

So s\u00e1nh c\u00e1c th\u01b0\u01a1ng hi\u1ec7u m\u00e1y ch\u1ee7 AI<\/h2>\n

Th\u1ecb tr\u01b0\u1eddng AI server kh\u00f4ng c\u00f3 m\u1ed9t ti\u00eau chu\u1ea9n \u201ct\u1ed1t nh\u1ea5t tuy\u1ec7t \u0111\u1ed1i\u201d, m\u00e0 \u0111\u01b0\u1ee3c ph\u00e2n h\u00f3a r\u00f5 theo quy m\u00f4 tri\u1ec3n khai, ng\u00e2n s\u00e1ch v\u00e0 m\u1ee5c ti\u00eau s\u1eed d\u1ee5ng. M\u1ed7i th\u01b0\u01a1ng hi\u1ec7u c\u00f3 th\u1ebf m\u1ea1nh ri\u00eang, t\u1eeb h\u1ec7 sinh th\u00e1i enterprise, hi\u1ec7u n\u0103ng AI thu\u1ea7n \u0111\u1ebfn kh\u1ea3 n\u0103ng t\u1ed1i \u01b0u chi ph\u00ed. V\u00ec v\u1eady, vi\u1ec7c so s\u00e1nh tr\u1ef1c ti\u1ebfp gi\u00fap doanh nghi\u1ec7p nh\u00ecn r\u00f5 \u0111i\u1ec3m m\u1ea1nh, h\u1ea1n ch\u1ebf v\u00e0 l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p thay v\u00ec ch\u1ec9 d\u1ef1a v\u00e0o danh ti\u1ebfng th\u01b0\u01a1ng hi\u1ec7u.<\/p>\n

B\u1ea3ng d\u01b0\u1edbi \u0111\u00e2y t\u1ed5ng h\u1ee3p nhanh c\u00e1c y\u1ebfu t\u1ed1 quan tr\u1ecdng nh\u1ea5t: hi\u1ec7u n\u0103ng, h\u1ea1n ch\u1ebf v\u00e0 nh\u00f3m doanh nghi\u1ec7p ph\u00f9 h\u1ee3p, gi\u00fap b\u1ea1n \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c h\u01a1n khi \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng AI.<\/p>\n

B\u1ea3ng t\u1ed5ng h\u1ee3p, so s\u00e1nh c\u00e1c h\u00e3ng m\u00e1y ch\u1ee7 AI h\u00e0ng \u0111\u1ea7u<\/h3>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Th\u01b0\u01a1ng hi\u1ec7u<\/th>\n\u0110i\u1ec3m m\u1ea1nh<\/th>\nH\u1ea1n ch\u1ebf<\/th>\nPh\u00f9 h\u1ee3p<\/th>\nV\u1ecb th\u1ebf<\/th>\n<\/tr>\n<\/thead>\n
Dell Technologies<\/td>\nEnterprise m\u1ea1nh, d\u1ec5 scale<\/td>\nChi ph\u00ed cao<\/td>\nDoanh nghi\u1ec7p l\u1edbn<\/td>\nD\u1eabn \u0111\u1ea7u<\/td>\n<\/tr>\n
Hewlett Packard Enterprise<\/td>\nHybrid cloud, m\u1ea1nh HPC<\/td>\nTri\u1ec3n khai ph\u1ee9c t\u1ea1p<\/td>\nEnterprise, HPC<\/td>\nD\u1eabn \u0111\u1ea7u<\/td>\n<\/tr>\n
IBM<\/td>\nT\u1ed1i \u01b0u AI chuy\u00ean s\u00e2u<\/td>\nGi\u00e1 cao, k\u00e9n h\u1ec7<\/td>\nNg\u00e2n h\u00e0ng, Nghi\u00ean c\u1ee9u<\/td>\nNg\u00e1ch<\/td>\n<\/tr>\n
NVIDIA<\/td>\nEcosystem AI to\u00e0n di\u1ec7n<\/td>\nR\u1ea5t \u0111\u1eaft, ph\u1ee5 thu\u1ed9c<\/td>\nM\u1ecdi h\u1ec7 th\u1ed1ng AI<\/td>\nD\u1eabn \u0111\u1ea7u<\/td>\n<\/tr>\n
Inspur<\/td>\nHyperscale, gi\u00e1 t\u1ed1t<\/td>\n\u00cdt ph\u1ed5 bi\u1ebfn to\u00e0n c\u1ea7u<\/td>\nBig Tech, cloud<\/td>\nTh\u00e1ch th\u1ee9c<\/td>\n<\/tr>\n
Lenovo<\/td>\nGi\u00e1\/hi\u1ec7u n\u0103ng t\u1ed1t<\/td>\n\u00cdt AI chuy\u00ean s\u00e2u<\/td>\nSME, startup<\/td>\nTh\u00e1ch th\u1ee9c<\/td>\n<\/tr>\n
Supermicro<\/td>\nGPU density cao<\/td>\nSoftware h\u1ea1n ch\u1ebf<\/td>\nAI training<\/td>\nTh\u00e1ch th\u1ee9c<\/td>\n<\/tr>\n
Cisco<\/td>\nNetworking AI m\u1ea1nh<\/td>\nKh\u00f4ng b\u00e1n GPU server<\/td>\nData center<\/td>\nNg\u00e1ch<\/td>\n<\/tr>\n
Gigabyte<\/td>\nLinh ho\u1ea1t, chi ph\u00ed t\u1ed1t<\/td>\nH\u1ed7 tr\u1ee3 h\u1ea1n ch\u1ebf<\/td>\nSME, AI lab<\/td>\nM\u1edbi n\u1ed5i<\/td>\n<\/tr>\n
ASUS<\/td>\nD\u1ec5 ti\u1ebfp c\u1eadn, R&D t\u1ed1t<\/td>\nScale l\u1edbn ch\u01b0a m\u1ea1nh<\/td>\nSME<\/td>\nM\u1edbi n\u1ed5i<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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Doanh nghi\u1ec7p n\u00ean ch\u1ecdn h\u00e3ng m\u00e1y ch\u1ee7 AI n\u00e0o?<\/h2>\n

Vi\u1ec7c l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p ph\u1ee5 thu\u1ed9c v\u00e0o quy m\u00f4 AI, ng\u00e2n s\u00e1ch v\u00e0 c\u00e1ch b\u1ea1n tri\u1ec3n khai h\u1ea1 t\u1ea7ng ngay t\u1eeb \u0111\u1ea7u.<\/p>\n

\"Doanh<\/a><\/p>\n

Startup AI v\u00e0 team nh\u1ecf: \u01b0u ti\u00ean t\u1ed1c \u0111\u1ed9, h\u1ea1n ch\u1ebf chi ph\u00ed<\/h3>\n

V\u1edbi startup ho\u1eb7c team nh\u1ecf, nhu c\u1ea7u th\u01b0\u1eddng ch\u01b0a \u0111\u1ee7 l\u1edbn \u0111\u1ec3 \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng ri\u00eang. M\u1ed9t h\u1ec7 th\u1ed1ng AI server 8 GPU c\u00f3 th\u1ec3 ti\u00eau t\u1ed1n t\u1eeb 300.000 \u0111\u1ebfn 500.000 USD, ch\u01b0a bao g\u1ed3m chi ph\u00ed v\u1eadn h\u00e0nh, l\u00e0m m\u00e1t v\u00e0 nh\u00e2n s\u1ef1 k\u1ef9 thu\u1eadt.<\/p>\n

\u1ede giai \u0111o\u1ea1n n\u00e0y, l\u1ef1a ch\u1ecdn h\u1ee3p l\u00fd l\u00e0 \u01b0u ti\u00ean Cloud GPU \u0111\u1ec3 tri\u1ec3n khai nhanh v\u00e0 linh ho\u1ea1t. Trong tr\u01b0\u1eddng h\u1ee3p c\u1ea7n h\u1ec7 th\u1ed1ng n\u1ed9i b\u1ed9, c\u00e1c d\u00f2ng server c\u1ea5u h\u00ecnh th\u1ea5p t\u1eeb Lenovo ho\u1eb7c Dell c\u00f3 th\u1ec3 \u0111\u00e1p \u1ee9ng t\u1ed1t nhu c\u1ea7u c\u01a1 b\u1ea3n. M\u1ee5c ti\u00eau ch\u00ednh l\u00e0 tr\u00e1nh \u0111\u1ea7u t\u01b0 l\u1edbn khi workload ch\u01b0a \u1ed5n \u0111\u1ecbnh v\u00e0 c\u00f2n thay \u0111\u1ed5i li\u00ean t\u1ee5c.<\/p>\n

>>> Xem th\u00eam Thu\u00ea Cloud GPU theo gi\u1edd gi\u00e1 r\u1ebb t\u1ea1i Vi\u1ec7t Nam<\/a><\/strong><\/p>\n

Doanh nghi\u1ec7p v\u1eeba (SME) c\u00e2n b\u1eb1ng hi\u1ec7u n\u0103ng v\u00e0 chi ph\u00ed<\/h3>\n

Khi b\u01b0\u1edbc sang giai \u0111o\u1ea1n SME, doanh nghi\u1ec7p b\u1eaft \u0111\u1ea7u c\u1ea7n h\u1ec7 th\u1ed1ng \u1ed5n \u0111\u1ecbnh h\u01a1n \u0111\u1ec3 \u0111\u01b0a AI v\u00e0o v\u1eadn h\u00e0nh th\u1ef1c t\u1ebf. \u0110\u00e2y l\u00e0 l\u00fac y\u1ebfu t\u1ed1 chi ph\u00ed v\u00e0 hi\u1ec7u n\u0103ng c\u1ea7n \u0111\u01b0\u1ee3c c\u00e2n b\u1eb1ng.<\/p>\n

Lenovo th\u01b0\u1eddng \u0111\u01b0\u1ee3c l\u1ef1a ch\u1ecdn nh\u1edd chi ph\u00ed h\u1ee3p l\u00fd, trong khi Dell ph\u00f9 h\u1ee3p h\u01a1n v\u1edbi c\u00e1c doanh nghi\u1ec7p c\u1ea7n kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng v\u00e0 h\u1ec7 sinh th\u00e1i \u0111\u1ea7y \u0111\u1ee7. M\u1ed9t xu h\u01b0\u1edbng ph\u1ed5 bi\u1ebfn l\u00e0 tri\u1ec3n khai hybrid, trong \u0111\u00f3 qu\u00e1 tr\u00ecnh training v\u1eabn di\u1ec5n ra tr\u00ean cloud \u0111\u1ec3 t\u1ed1i \u01b0u chi ph\u00ed, c\u00f2n c\u00e1c workload \u1ed5n \u0111\u1ecbnh nh\u01b0 inference s\u1ebd \u0111\u01b0\u1ee3c tri\u1ec3n khai tr\u00ean server ri\u00eang.<\/p>\n

Enterprise: \u01b0u ti\u00ean h\u1ec7 sinh th\u00e1i v\u00e0 \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh<\/h3>\n

\u0110\u1ed1i v\u1edbi doanh nghi\u1ec7p l\u1edbn, vi\u1ec7c l\u1ef1a ch\u1ecdn AI server kh\u00f4ng c\u00f2n d\u1eebng \u1edf ph\u1ea7n c\u1ee9ng m\u00e0 l\u00e0 to\u00e0n b\u1ed9 h\u1ec7 sinh th\u00e1i \u0111i k\u00e8m. C\u00e1c h\u1ec7 th\u1ed1ng c\u1ea7n \u0111\u1ea3m b\u1ea3o kh\u1ea3 n\u0103ng v\u1eadn h\u00e0nh li\u00ean t\u1ee5c, h\u1ed7 tr\u1ee3 d\u00e0i h\u1ea1n v\u00e0 t\u00edch h\u1ee3p ch\u1eb7t ch\u1ebd v\u1edbi h\u1ea1 t\u1ea7ng IT hi\u1ec7n c\u00f3.<\/p>\n

Dell Technologies v\u00e0 HPE l\u00e0 hai l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn nh\u1ea5t trong ph\u00e2n kh\u00fac n\u00e0y. C\u00e1c n\u1ec1n t\u1ea3ng c\u1ee7a h\u1ecd cho ph\u00e9p tri\u1ec3n khai AI \u1edf quy m\u00f4 l\u1edbn, \u0111\u1ed3ng th\u1eddi cung c\u1ea5p d\u1ecbch v\u1ee5 h\u1ed7 tr\u1ee3 theo ti\u00eau chu\u1ea9n doanh nghi\u1ec7p. Nh\u1eefng h\u1ec7 th\u1ed1ng n\u00e0y th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho AI n\u1ed9i b\u1ed9, n\u1ec1n t\u1ea3ng d\u1eef li\u1ec7u ho\u1eb7c c\u00e1c m\u00f4 h\u00ecnh LLM ri\u00eang nh\u1eb1m \u0111\u1ea3m b\u1ea3o ki\u1ec3m so\u00e1t d\u1eef li\u1ec7u v\u00e0 b\u1ea3o m\u1eadt.<\/p>\n

Hyperscale v\u00e0 Big Tech: t\u1ed1i \u01b0u quy m\u00f4 v\u00e0 hi\u1ec7u su\u1ea5t<\/h3>\n

\u1ede c\u1ea5p \u0111\u1ed9 hyperscale, b\u00e0i to\u00e1n kh\u00f4ng c\u00f2n l\u00e0 l\u1ef1a ch\u1ecdn server \u0111\u01a1n l\u1ebb m\u00e0 l\u00e0 x\u00e2y d\u1ef1ng to\u00e0n b\u1ed9 h\u1ea1 t\u1ea7ng AI. C\u00e1c c\u00f4ng ty l\u1edbn tri\u1ec3n khai h\u1ec7 th\u1ed1ng v\u1edbi h\u00e0ng ngh\u00ecn GPU, y\u00eau c\u1ea7u kh\u1ea3 n\u0103ng scale c\u1ef1c l\u1edbn v\u00e0 t\u1ed1i \u01b0u hi\u1ec7u su\u1ea5t \u1edf m\u1ee9c cao nh\u1ea5t.<\/p>\n

Nh\u1eefng h\u1ea1 t\u1ea7ng n\u00e0y th\u01b0\u1eddng bao g\u1ed3m c\u00e1c c\u1ee5m GPU quy m\u00f4 l\u1edbn, k\u1ebft n\u1ed1i b\u1eb1ng InfiniBand t\u1ed1c \u0111\u1ed9 cao v\u00e0 s\u1eed d\u1ee5ng c\u00f4ng ngh\u1ec7 l\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng \u0111\u1ec3 \u0111\u00e1p \u1ee9ng m\u1eadt \u0111\u1ed9 t\u00ednh to\u00e1n ng\u00e0y c\u00e0ng t\u0103ng. \u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do c\u00e1c vendor nh\u01b0 Inspur, Supermicro hay NVIDIA \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong c\u00e1c h\u1ec7 th\u1ed1ng AI quy m\u00f4 l\u1edbn.<\/p>\n

Khi n\u00e0o kh\u00f4ng n\u00ean \u0111\u1ea7u t\u01b0 m\u00e1y ch\u1ee7 AI?<\/h3>\n

Kh\u00f4ng n\u00ean mua server n\u1ebfu Workload ch\u01b0a \u1ed5n \u0111\u1ecbnh, ch\u01b0a r\u00f5 nhu c\u1ea7u d\u00e0i h\u1ea1n v\u00e0 thi\u1ebfu \u0111\u1ed9i ng\u0169 v\u1eadn h\u00e0nh. R\u1ee7i ro l\u1edbn nh\u1ea5t l\u00e0 GPU b\u1ecb \u201cidle” chi ph\u00ed cao nh\u01b0ng kh\u00f4ng d\u00f9ng h\u1ebft.<\/p>\n

L\u1ef1a ch\u1ecdn gi\u1eefa M\u00e1y ch\u1ee7 AI v\u00e0 Cloud GPU<\/h3>\n

Kh\u00e1c bi\u1ec7t c\u1ed1t l\u00f5i n\u1eb1m \u1edf chi ph\u00ed v\u00e0 kh\u1ea3 n\u0103ng khai th\u00e1c t\u00e0i nguy\u00ean. AI server y\u00eau c\u1ea7u CAPEX l\u1edbn, th\u01b0\u1eddng t\u1eeb 300.000\u2013500.000 USD cho h\u1ec7 th\u1ed1ng 8 GPU v\u00e0 m\u1ea5t 2\u20138 tu\u1ea7n tri\u1ec3n khai, ch\u1ec9 th\u1ef1c s\u1ef1 hi\u1ec7u qu\u1ea3 khi workload ch\u1ea1y li\u00ean t\u1ee5c; n\u1ebfu kh\u00f4ng, r\u1ee7i ro GPU nh\u00e0n r\u1ed7i g\u00e2y l\u00e3ng ph\u00ed r\u1ea5t cao.<\/p>\n

Ng\u01b0\u1ee3c l\u1ea1i, Cloud GPU chuy\u1ec3n sang m\u00f4 h\u00ecnh OPEX, kh\u1edfi t\u1ea1o trong v\u00e0i ph\u00fat, cho ph\u00e9p scale linh ho\u1ea1t theo nhu c\u1ea7u.<\/p>\n

V\u00ec v\u1eady, doanh nghi\u1ec7p \u0111ang c\u00f3 xu h\u01b0\u1edbng k\u1ebft h\u1ee3p c\u1ea3 hai, nh\u01b0ng v\u1edbi c\u00e1c workload bi\u1ebfn \u0111\u1ed9ng ho\u1eb7c c\u1ea7n tri\u1ec3n khai nhanh, Cloud GPU l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1i \u01b0u h\u01a1n v\u1ec1 hi\u1ec7u qu\u1ea3 chi ph\u00ed v\u00e0 t\u1ed1c \u0111\u1ed9.<\/p>\n

\u0110\u1ea7u t\u01b0 \u0111\u00fang c\u00e1ch tri\u1ec3n khai m\u00e1y ch\u1ee7 AI<\/h3>\n

Doanh nghi\u1ec7p hi\u1ec7n nay kh\u00f4ng ch\u1ec9 ch\u1ecdn server, m\u00e0 \u0111ang x\u00e2y d\u1ef1ng chi\u1ebfn l\u01b0\u1ee3c AI infrastructure ho\u00e0n ch\u1ec9nh. Quan tr\u1ecdng kh\u00f4ng ph\u1ea3i ch\u1ecdn h\u00e3ng n\u00e0o, m\u00e0 l\u00e0 ch\u1ecdn \u0111\u00fang c\u00e1ch tri\u1ec3n khai:<\/p>\n

– C\u1ea7n ki\u1ec3m so\u00e1t, ch\u1ea1y l\u00e2u d\u00e0i s\u1eed d\u1ee5ng AI server v\u1eadt l\u00fd<\/p>\n

– C\u1ea7n linh ho\u1ea1t, tri\u1ec3n khai nhanh d\u00f9ng Cloud GPU<\/p>\n

– Quy m\u00f4 l\u1edbn th\u00ec k\u1ebft h\u1ee3p hybrid<\/p>\n

\"Xu<\/a><\/p>\n

Xu h\u01b0\u1edbng ph\u00e1t tri\u1ec3n c\u1ee7a M\u00e1y ch\u1ee7 AI giai \u0111o\u1ea1n 2026-2030<\/h2>\n

Giai \u0111o\u1ea1n 2026-2030 s\u1ebd ch\u1ee9ng ki\u1ebfn s\u1ef1 chuy\u1ec3n d\u1ecbch m\u1ea1nh t\u1eeb server truy\u1ec1n th\u1ed1ng sang h\u1ea1 t\u1ea7ng AI chuy\u00ean bi\u1ec7t. Tr\u01b0\u1edbc h\u1ebft, c\u00f4ng ngh\u1ec7 l\u00e0m m\u00e1t b\u1eb1ng ch\u1ea5t l\u1ecfng (liquid cooling) s\u1ebd tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n, khi m\u1eadt \u0111\u1ed9 GPU ng\u00e0y c\u00e0ng cao v\u00e0 c\u00f4ng su\u1ea5t m\u1ed7i rack c\u00f3 th\u1ec3 v\u01b0\u1ee3t 100\u2013200 kW, \u0111i\u1ec1u m\u00e0 air cooling kh\u00f4ng c\u00f2n \u0111\u00e1p \u1ee9ng \u0111\u01b0\u1ee3c.<\/p>\n

Song song \u0111\u00f3, c\u00e1c th\u1ebf h\u1ec7 GPU m\u1edbi nh\u01b0 ki\u1ebfn tr\u00fac Blackwell s\u1ebd ti\u1ebfp t\u1ee5c n\u00e2ng hi\u1ec7u n\u0103ng AI l\u00ean nhi\u1ec1u l\u1ea7n, \u0111\u1eb7c bi\u1ec7t trong training LLM v\u00e0 inference quy m\u00f4 l\u1edbn. \u0110i\u1ec1u n\u00e0y k\u00e9o theo s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a c\u00e1c \u201cAI factory\u201d \u2013 m\u00f4 h\u00ecnh data center \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho AI, n\u01a1i h\u00e0ng ngh\u00ecn GPU \u0111\u01b0\u1ee3c k\u1ebft n\u1ed1i qua m\u1ea1ng t\u1ed1c \u0111\u1ed9 cao nh\u01b0 InfiniBand \u0111\u1ec3 t\u1ed1i \u01b0u to\u00e0n b\u1ed9 pipeline x\u1eed l\u00fd.<\/p>\n

Ngo\u00e0i ra, xu h\u01b0\u1edbng hybrid AI infrastructure c\u0169ng s\u1ebd tr\u1edf n\u00ean ph\u1ed5 bi\u1ebfn, khi doanh nghi\u1ec7p k\u1ebft h\u1ee3p gi\u1eefa AI server on-premise v\u00e0 Cloud GPU \u0111\u1ec3 t\u1ed1i \u01b0u chi ph\u00ed, t\u0103ng t\u00ednh linh ho\u1ea1t v\u00e0 tr\u00e1nh l\u00e3ng ph\u00ed t\u00e0i nguy\u00ean. \u0110\u00e2y s\u1ebd l\u00e0 h\u01b0\u1edbng \u0111i ch\u1ee7 \u0111\u1ea1o gi\u00fap doanh nghi\u1ec7p c\u00e2n b\u1eb1ng gi\u1eefa hi\u1ec7u n\u0103ng, chi ph\u00ed v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng trong d\u00e0i h\u1ea1n.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n

Ch\u1ecdn \u0111\u00fang h\u1ea1 t\u1ea7ng AI quan tr\u1ecdng h\u01a1n ch\u1ecdn h\u00e3ng<\/h2>\n

Th\u1ecb tr\u01b0\u1eddng m\u00e1y ch\u1ee7 AI n\u0103m 2026 cho th\u1ea5y s\u1ef1 ph\u00e2n h\u00f3a r\u00f5 r\u1ec7t: Dell v\u00e0 HPE d\u1eabn \u0111\u1ea7u ph\u00e2n kh\u00fac enterprise, NVIDIA gi\u1eef vai tr\u00f2 trung t\u00e2m c\u1ee7a h\u1ec7 sinh th\u00e1i, trong khi Supermicro, Inspur hay Lenovo t\u1ed1i \u01b0u theo hi\u1ec7u n\u0103ng v\u00e0 chi ph\u00ed \u1edf c\u00e1c ph\u00e2n kh\u00fac kh\u00e1c nhau.<\/p>\n

Tuy nhi\u00ean, y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh kh\u00f4ng n\u1eb1m \u1edf vi\u1ec7c ch\u1ecdn th\u01b0\u01a1ng hi\u1ec7u \u201ct\u1ed1t nh\u1ea5t\u201d, m\u00e0 l\u00e0 l\u1ef1a ch\u1ecdn \u0111\u00fang m\u00f4 h\u00ecnh h\u1ea1 t\u1ea7ng ph\u00f9 h\u1ee3p v\u1edbi workload AI. Doanh nghi\u1ec7p c\u1ea7n x\u00e1c \u0111\u1ecbnh r\u00f5 nhu c\u1ea7u s\u1eed d\u1ee5ng, kh\u1ea3 n\u0103ng scale v\u00e0 ng\u00e2n s\u00e1ch \u0111\u1ec3 c\u00e2n b\u1eb1ng gi\u1eefa AI server v\u1eadt l\u00fd v\u00e0 Cloud GPU.<\/p>\n

Trong b\u1ed1i c\u1ea3nh AI ph\u00e1t tri\u1ec3n nhanh, m\u1ed9t chi\u1ebfn l\u01b0\u1ee3c h\u1ea1 t\u1ea7ng linh ho\u1ea1t s\u1ebd gi\u00fap t\u1ed1i \u01b0u chi ph\u00ed, t\u0103ng t\u1ed1c tri\u1ec3n khai v\u00e0 \u0111\u1ea3m b\u1ea3o kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng d\u00e0i h\u1ea1n.<\/p>\n

\"Tri\u1ec3n<\/a><\/p>\n

Gi\u1ea3i ph\u00e1p tri\u1ec3n khai AI Server t\u1ed1i \u01b0u cho doanh nghi\u1ec7p<\/h2>\n

VNSO cung c\u1ea5p gi\u1ea3i ph\u00e1p Cloud GPU v\u00e0 Server GPU gi\u00fap doanh nghi\u1ec7p tri\u1ec3n khai AI nhanh ch\u00f3ng m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng l\u1edbn ban \u0111\u1ea7u. V\u1edbi kh\u1ea3 n\u0103ng kh\u1edfi t\u1ea1o trong v\u00e0i ph\u00fat, h\u1ec7 th\u1ed1ng h\u1ed7 tr\u1ee3 c\u00e1c d\u00f2ng GPU hi\u1ec7u n\u0103ng cao, \u0111\u00e1p \u1ee9ng t\u1ed1t nhu c\u1ea7u training m\u00f4 h\u00ecnh, inference v\u00e0 x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn.<\/p>\n

Kh\u00e1c v\u1edbi m\u00f4 h\u00ecnh truy\u1ec1n th\u1ed1ng c\u1ea7n CAPEX h\u00e0ng tr\u0103m ngh\u00ecn USD v\u00e0 th\u1eddi gian tri\u1ec3n khai k\u00e9o d\u00e0i nhi\u1ec1u tu\u1ea7n, Cloud GPU t\u1ea1i VNSO cho ph\u00e9p chuy\u1ec3n sang OPEX linh ho\u1ea1t, scale theo nhu c\u1ea7u th\u1ef1c t\u1ebf v\u00e0 gi\u1ea3m r\u1ee7i ro l\u00e3ng ph\u00ed t\u00e0i nguy\u00ean. \u0110\u1ed3ng th\u1eddi, d\u1ecbch v\u1ee5 Server GPU ri\u00eang (dedicated) ph\u00f9 h\u1ee3p v\u1edbi doanh nghi\u1ec7p c\u1ea7n hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh, b\u1ea3o m\u1eadt cao v\u00e0 workload ch\u1ea1y li\u00ean t\u1ee5c.<\/p>\n

D\u1ecbch v\u1ee5 cho thu\u00ea Cloud GPU v\u00e0 Server GPU VNSO:<\/strong><\/p>\n

– \u0110\u01b0\u1ee3c tin d\u00f9ng b\u1edfi h\u01a1n 1.000<\/strong><\/em>\u00a0kh\u00e1ch h\u00e0ng, nh\u00e0 nghi\u00ean c\u1ee9u, chuy\u00ean gia AI v\u00e0 Doanh nghi\u1ec7p.<\/p>\n

– \u0110\u1ed9i ng\u0169 h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt, t\u01b0 v\u1ea5n 24\/7<\/strong>, lu\u00f4n s\u1eb5n s\u00e0ng m\u1ecdi l\u00fac m\u1ecdi n\u01a1i.<\/p>\n

– B\u1ea3o m\u1eadt d\u1eef li\u1ec7u tuy\u1ec7t \u0111\u1ed1i<\/strong>, m\u00e3 h\u00f3a ri\u00eang t\u01b0.<\/p>\n

– Cam k\u1ebft 99.9% Uptime<\/strong>. H\u00e0ng ch\u00ednh h\u00e3ng, lu\u00f4n c\u00f3 s\u1eb5n, tri\u1ec3n khai trong 1 ph\u00fat.<\/p>\n

– H\u1ea1 t\u1ea7ng t\u1ed1i \u01b0u cho m\u1ecdi t\u00e1c v\u1ee5 AI<\/strong> (Server GPU NVIDIA A100, H100, B100…).<\/p>\n

>>> B\u1ee9t ph\u00e1 hi\u1ec7u su\u1ea5t AI c\u00f9ng gi\u1ea3i ph\u00e1p Cloud GPU<\/strong><\/a> gi\u00e1 r\u1ebb<\/strong><\/em> v\u00e0 Server GPU<\/strong><\/a> hi\u1ec7u n\u0103ng cao<\/strong><\/em>.<\/p>\n

Nh\u1eadn t\u01b0 v\u1ea5n MI\u1ec4N PH\u00cd l\u1ed9 tr\u00ecnh tri\u1ec3n khai ngay<\/span>!<\/strong><\/p>\n

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