{"id":24635,"date":"2026-05-25T10:48:13","date_gmt":"2026-05-25T03:48:13","guid":{"rendered":"https:\/\/vnso.vn\/?p=24635"},"modified":"2026-05-25T10:49:07","modified_gmt":"2026-05-25T03:49:07","slug":"hbm2e-la-gi","status":"publish","type":"post","link":"http:\/\/vnso.vn\/en\/hbm2e-la-gi\/","title":{"rendered":"HBM2e l\u00e0 g\u00ec? Gi\u1ea3i m\u00e3 b\u1ed9 nh\u1edb \u0111\u1ee9ng sau GPU AI t\u1eeb A-Z"},"content":{"rendered":"

C\u00e1c m\u00f4 h\u00ecnh AI ng\u00e0y nay c\u1ea7n x\u1eed l\u00fd l\u01b0\u1ee3ng d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3 v\u1edbi h\u00e0ng t\u1ef7 tham s\u1ed1 ho\u1ea1t \u0111\u1ed9ng li\u00ean t\u1ee5c b\u00ean trong GPU AI. \u0110i\u1ec1u n\u00e0y khi\u1ebfn b\u1ed9 nh\u1edb tr\u1edf th\u00e0nh m\u1ed9t trong nh\u1eefng th\u00e0nh ph\u1ea7n quan tr\u1ecdng nh\u1ea5t c\u1ee7a to\u00e0n b\u1ed9 h\u1ec7 th\u1ed1ng. Hi\u1ec7u n\u0103ng AI hi\u1ec7n \u0111\u1ea1i c\u00f2n ph\u1ee5 thu\u1ed9c r\u1ea5t l\u1edbn v\u00e0o t\u1ed1c \u0111\u1ed9 truy\u1ec1n d\u1eef li\u1ec7u gi\u1eefa GPU v\u00e0 b\u1ed9 nh\u1edb. \u0110\u00e2y ch\u00ednh l\u00e0 l\u00fd do c\u00f4ng ngh\u1ec7 HBM2e<\/strong>\u00a0nhanh ch\u00f3ng tr\u1edf th\u00e0nh ti\u00eau chu\u1ea9n tr\u00ean c\u00e1c GPU AI cao c\u1ea5p nh\u01b0 NVIDIA A100.<\/p>\n

R\u1ea5t nhi\u1ec1u ng\u01b0\u1eddi khi t\u00ecm hi\u1ec3u GPU AI th\u01b0\u1eddng ch\u1ec9 ch\u00fa \u00fd \u0111\u1ebfn Tensor Core hay s\u1ed1 TFLOPS. Tuy nhi\u00ean tr\u00ean th\u1ef1c t\u1ebf, HBM2e kh\u00f4ng \u0111\u01a1n thu\u1ea7n l\u00e0 VRAM th\u00f4ng th\u01b0\u1eddng. \u0110\u00e2y l\u00e0 lo\u1ea1i b\u1ed9 nh\u1edb \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho AI, Deep Learning v\u00e0 High Performance Computing (HPC), n\u01a1i t\u1ed1c \u0111\u1ed9 x\u1eed l\u00fd d\u1eef li\u1ec7u c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn hi\u1ec7u n\u0103ng to\u00e0n h\u1ec7 th\u1ed1ng.<\/p>\n

HBM2e l\u00e0 g\u00ec?<\/h2>\n

N\u1ebfu v\u00ed GPU l\u00e0 trung t\u00e2m b\u1ed9 x\u1eed l\u00fd AI, th\u00ec HBM2e ch\u00ednh l\u00e0 \u0111\u01b0\u1eddng cao t\u1ed1c v\u1eadn chuy\u1ec3n d\u1eef li\u1ec7u. HBM2e l\u00e0 vi\u1ebft t\u1eaft c\u1ee7a High Bandwidth Memory 2e, m\u1ed9t th\u1ebf h\u1ec7 b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao n\u00e2ng c\u1ea5p t\u1eeb HBM2.<\/p>\n

C\u00f4ng ngh\u1ec7 n\u00e0y \u0111\u01b0\u1ee3c t\u1ea1o ra \u0111\u1ec3 gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 \u201cmemory bottleneck\u201d, t\u1ee9c t\u00ecnh tr\u1ea1ng GPU qu\u00e1 m\u1ea1nh nh\u01b0ng kh\u00f4ng th\u1ec3 nh\u1eadn d\u1eef li\u1ec7u \u0111\u1ee7 nhanh t\u1eeb b\u1ed9 nh\u1edb. Trong AI hi\u1ec7n \u0111\u1ea1i, \u0111\u00e2y l\u00e0 b\u00e0i to\u00e1n r\u1ea5t l\u1edbn v\u00ec GPU ph\u1ea3i li\u00ean t\u1ee5c \u0111\u1ecdc tensor, weight, gradient v\u00e0 dataset v\u1edbi dung l\u01b0\u1ee3ng c\u1ef1c k\u1ef3 kh\u1ed5ng l\u1ed3.<\/p>\n

Kh\u00e1c v\u1edbi GDDR6 tr\u00ean GPU gaming, HBM2e s\u1eed d\u1ee5ng ki\u1ebfn tr\u00fac x\u1ebfp ch\u1ed3ng b\u1ed9 nh\u1edb theo chi\u1ec1u d\u1ecdc, c\u00f2n g\u1ecdi l\u00e0 3D stacking. C\u00e1c chip DRAM \u0111\u01b0\u1ee3c \u0111\u1eb7t ch\u1ed3ng l\u00ean nhau b\u1eb1ng c\u00f4ng ngh\u1ec7 TSV (Through Silicon Via), sau \u0111\u00f3 \u0111\u1eb7t r\u1ea5t g\u1ea7n GPU th\u00f4ng qua m\u1ed9t l\u1edbp silicon interposer t\u1ed1c \u0111\u1ed9 cao. Theo SK hynix, c\u00f4ng ngh\u1ec7 n\u00e0y gi\u00fap t\u0103ng m\u1ea1nh b\u0103ng th\u00f4ng trong khi v\u1eabn duy tr\u00ec m\u1ee9c \u0111i\u1ec7n n\u0103ng t\u1ed1i \u01b0u h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi b\u1ed9 nh\u1edb truy\u1ec1n th\u1ed1ng.<\/p>\n

Nh\u1edd thi\u1ebft k\u1ebf \u0111\u1eb7c bi\u1ec7t \u0111\u00f3, HBM2e c\u00f3 th\u1ec3 truy\u1ec1n l\u01b0\u1ee3ng d\u1eef li\u1ec7u c\u1ef1c l\u1edbn trong th\u1eddi gian r\u1ea5t ng\u1eafn, \u0111i\u1ec1u c\u1ef1c k\u1ef3 quan tr\u1ecdng \u0111\u1ed1i v\u1edbi AI training v\u00e0 AI inference hi\u1ec7n \u0111\u1ea1i.<\/p>\n

>>> C\u00f3 th\u1ec3 b\u1ea1n quan t\u00e2m Structural Sparsity l\u00e0 g\u00ec? C\u00e1ch t\u0103ng hi\u1ec7u su\u1ea5t Model AI g\u1ea5p 2 l\u1ea7n<\/a><\/strong><\/p>\n

\"HBM2e<\/a><\/h3>\n

V\u00ec sao GPU AI c\u1ea7n b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao?<\/h3>\n

M\u1ed9t GPU AI m\u1ea1nh nh\u01b0ng b\u1ed9 nh\u1edb ch\u1eadm gi\u1ed1ng nh\u01b0 si\u00eau xe ch\u1ea1y trong \u0111\u01b0\u1eddng k\u1eb9t xe. C\u00e1c m\u00f4 h\u00ecnh AI hi\u1ec7n nay ti\u00eau th\u1ee5 l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u1edf m\u1ee9c kh\u1ed5ng l\u1ed3. Khi training m\u1ed9t Large Language Model, GPU ph\u1ea3i li\u00ean t\u1ee5c t\u1ea3i tr\u1ecdng s\u1ed1 m\u00f4 h\u00ecnh, tensor, attention matrix, gradient v\u00e0 nhi\u1ec1u batch d\u1eef li\u1ec7u training kh\u00e1c nhau.<\/p>\n

N\u1ebfu b\u1ed9 nh\u1edb kh\u00f4ng \u0111\u1ee7 nhanh, GPU s\u1ebd ph\u1ea3i ch\u1edd d\u1eef li\u1ec7u thay v\u00ec x\u1eed l\u00fd. \u0110i\u1ec1u n\u00e0y l\u00e0m gi\u1ea3m hi\u1ec7u su\u1ea5t to\u00e0n h\u1ec7 th\u1ed1ng d\u00f9 GPU r\u1ea5t m\u1ea1nh. HBM2e gi\u1ea3i quy\u1ebft b\u00e0i to\u00e1n \u0111\u00f3 b\u1eb1ng c\u00e1ch t\u0103ng b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb l\u00ean m\u1ee9c c\u1ef1c cao. Theo th\u00f4ng tin t\u1eeb SK hynix, HBM2e c\u00f3 th\u1ec3 \u0111\u1ea1t h\u01a1n 460 GB\/s tr\u00ean m\u1ed7i stack b\u1ed9 nh\u1edb v\u1edbi t\u1ed1c \u0111\u1ed9 3.6Gbps m\u1ed7i pin c\u00f9ng 1.024 I\/O. Khi nhi\u1ec1u stack HBM2e \u0111\u01b0\u1ee3c k\u1ebft h\u1ee3p tr\u00ean GPU AI, t\u1ed5ng b\u0103ng th\u00f4ng c\u00f3 th\u1ec3 v\u01b0\u1ee3t m\u1ed1c 2 TB\/s. \u0110\u00e2y l\u00e0 con s\u1ed1 c\u1ef1c k\u1ef3 quan tr\u1ecdng trong c\u00e1c h\u1ec7 th\u1ed1ng AI hi\u1ec7n \u0111\u1ea1i v\u00ec n\u00f3 cho ph\u00e9p GPU x\u1eed l\u00fd d\u1eef li\u1ec7u li\u00ean t\u1ee5c m\u00e0 kh\u00f4ng b\u1ecb ngh\u1ebdn b\u1ed9 nh\u1edb.<\/p>\n

C\u00e1ch HBM2e ho\u1ea1t \u0111\u1ed9ng<\/h2>\n

\u0110i\u1ec3m kh\u00e1c bi\u1ec7t l\u1edbn nh\u1ea5t c\u1ee7a HBM2e n\u1eb1m \u1edf ki\u1ebfn tr\u00fac v\u1eadt l\u00fd. GPU gaming truy\u1ec1n th\u1ed1ng th\u01b0\u1eddng s\u1eed d\u1ee5ng GDDR6 \u0111\u1eb7t xung quanh GPU tr\u00ean PCB. Thi\u1ebft k\u1ebf n\u00e0y khi\u1ebfn \u0111\u01b0\u1eddng truy\u1ec1n d\u1eef li\u1ec7u d\u00e0i h\u01a1n v\u00e0 t\u1ea1o ra gi\u1edbi h\u1ea1n v\u1ec1 b\u0103ng th\u00f4ng.<\/p>\n

HBM2e ho\u1ea1t \u0111\u1ed9ng theo h\u01b0\u1edbng ho\u00e0n to\u00e0n kh\u00e1c. C\u00e1c chip DRAM \u0111\u01b0\u1ee3c x\u1ebfp ch\u1ed3ng theo chi\u1ec1u d\u1ecdc th\u00e0nh t\u1eebng stack, sau \u0111\u00f3 \u0111\u1eb7t c\u1ef1c g\u1ea7n GPU b\u1eb1ng silicon interposer t\u1ed1c \u0111\u1ed9 cao. Kho\u1ea3ng c\u00e1ch ng\u1eafn h\u01a1n gi\u00fap s\u1ed1 l\u01b0\u1ee3ng \u0111\u01b0\u1eddng truy\u1ec1n d\u1eef li\u1ec7u t\u0103ng m\u1ea1nh \u0111\u1ed3ng th\u1eddi gi\u1ea3m \u0111\u00e1ng k\u1ec3 \u0111\u1ed9 tr\u1ec5.<\/p>\n

Theo Tom\u2019s Hardware, HBM \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf nh\u1eb1m cung c\u1ea5p b\u0103ng th\u00f4ng cao h\u01a1n v\u00e0 ti\u00eau th\u1ee5 \u0111i\u1ec7n th\u1ea5p h\u01a1n so v\u1edbi GDDR tr\u00ean GPU gaming truy\u1ec1n th\u1ed1ng. HBM2e \u0111\u1eb7c bi\u1ec7t ph\u00f9 h\u1ee3p v\u1edbi AI, n\u01a1i GPU ph\u1ea3i x\u1eed l\u00fd d\u1eef li\u1ec7u li\u00ean t\u1ee5c v\u1edbi kh\u1ed1i l\u01b0\u1ee3ng c\u1ef1c l\u1edbn trong th\u1eddi gian d\u00e0i.<\/p>\n

HBM2e tr\u00ean GPU AI nh\u01b0 NVIDIA A100 m\u1ea1nh \u0111\u1ebfn m\u1ee9c n\u00e0o?<\/h3>\n

M\u1ed9t trong nh\u1eefng GPU n\u1ed5i ti\u1ebfng nh\u1ea5t s\u1eed d\u1ee5ng HBM2e ch\u00ednh l\u00e0 NVIDIA A100 80GB. Theo th\u00f4ng s\u1ed1 ch\u00ednh th\u1ee9c t\u1eeb NVIDIA, phi\u00ean b\u1ea3n A100 80GB s\u1eed d\u1ee5ng 80GB HBM2e v\u1edbi b\u0103ng th\u00f4ng b\u1ed9 nh\u1edb kho\u1ea3ng 1.935 GB\/s \u0111\u1ebfn h\u01a1n 2.039 GB\/s t\u00f9y phi\u00ean b\u1ea3n.<\/p>\n

\u0110\u1ec3 d\u1ec5 h\u00ecnh dung, nhi\u1ec1u GPU gaming ph\u1ed5 th\u00f4ng ch\u1ec9 \u0111\u1ea1t b\u0103ng th\u00f4ng v\u00e0i tr\u0103m GB\/s. Trong khi \u0111\u00f3, NVIDIA A100 v\u01b0\u1ee3t m\u1ed1c 2 TB\/s, cao h\u01a1n r\u1ea5t nhi\u1ec1u.<\/p>\n

Ch\u00ednh l\u01b0\u1ee3ng b\u0103ng th\u00f4ng kh\u1ed5ng l\u1ed3 n\u00e0y gi\u00fap A100 x\u1eed l\u00fd c\u00e1c workload nh\u01b0 LLM, Stable Diffusion, AI chatbot, recommendation system hay HPC simulation nhanh h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi GPU ph\u1ed5 th\u00f4ng.<\/p>\n

>>> Xem th\u00eam NVIDIA A100 l\u00e0 g\u00ec? Ph\u00e2n t\u00edch GPU AI ph\u1ed5 bi\u1ebfn nh\u1ea5t t\u1eeb A-Z<\/a><\/strong><\/p>\n

So s\u00e1nh gi\u1eefa HBM2e v\u00e0 GDDR6<\/h2>\n

GDDR6 (Graphics Double Data Rate 6) l\u00e0 chu\u1ea9n b\u1ed9 nh\u1edb \u0111\u1ed3 h\u1ecda (VRAM) t\u1ed1c \u0111\u1ed9 cao, \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf chuy\u00ean d\u1ee5ng cho c\u00e1c card m\u00e0n h\u00ecnh (GPU) v\u00e0 m\u00e1y ch\u01a1i game.<\/p>\n

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

HBM2e kh\u00e1c g\u00ec GDDR6?<\/h3>\n

S\u1ef1 kh\u00e1c bi\u1ec7t gi\u1eefa HBM2e v\u00e0 GDDR6 n\u1eb1m \u1edf m\u1ee5c ti\u00eau thi\u1ebft k\u1ebf. GDDR6 \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u cho gaming v\u1edbi chi ph\u00ed h\u1ee3p l\u00fd v\u00e0 xung nh\u1ecbp cao. Trong khi \u0111\u00f3, HBM2e \u0111\u01b0\u1ee3c t\u1ea1o ra cho AI v\u00e0 HPC, n\u01a1i c\u1ea7n x\u1eed l\u00fd l\u01b0\u1ee3ng d\u1eef li\u1ec7u c\u1ef1c l\u1edbn li\u00ean t\u1ee5c.<\/p>\n

HBM2e s\u1eed d\u1ee5ng thi\u1ebft k\u1ebf 3D stacking ph\u1ee9c t\u1ea1p h\u01a1n nhi\u1ec1u so v\u1edbi c\u00e1c chip GDDR6 r\u1eddi. \u0110i\u1ec1u n\u00e0y gi\u00fap HBM2e \u0111\u1ea1t b\u0103ng th\u00f4ng v\u01b0\u1ee3t tr\u1ed9i nh\u01b0ng c\u0169ng l\u00e0m chi ph\u00ed s\u1ea3n xu\u1ea5t t\u0103ng m\u1ea1nh.<\/p>\n

Trong gaming, GPU th\u01b0\u1eddng \u01b0u ti\u00ean FPS v\u00e0 gi\u00e1 th\u00e0nh h\u1ee3p l\u00fd. Tuy nhi\u00ean v\u1edbi AI, t\u1ed1c \u0111\u1ed9 truy\u1ec1n d\u1eef li\u1ec7u m\u1edbi l\u00e0 y\u1ebfu t\u1ed1 c\u1ef1c k\u1ef3 quan tr\u1ecdng, khi\u1ebfn HBM2e tr\u1edf th\u00e0nh l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p h\u01a1n r\u1ea5t nhi\u1ec1u.<\/p>\n

So s\u00e1nh t\u1ed1c \u0111\u1ed9 HBM2e so v\u1edbi GDDR6<\/h3>\n

HBM2e kh\u00f4ng t\u1eadp trung v\u00e0o xung nh\u1ecbp c\u1ef1c cao nh\u01b0 GDDR6. Thay v\u00e0o \u0111\u00f3, c\u00f4ng ngh\u1ec7 n\u00e0y s\u1eed d\u1ee5ng bus c\u1ef1c r\u1ed9ng c\u00f9ng s\u1ed1 l\u01b0\u1ee3ng k\u1ebft n\u1ed1i r\u1ea5t l\u1edbn \u0111\u1ec3 t\u0103ng l\u01b0\u1ee3ng d\u1eef li\u1ec7u truy\u1ec1n m\u1ed7i gi\u00e2y.<\/p>\n

Theo SK hynix, m\u1ed7i stack HBM2e c\u00f3 t\u1edbi 1.024 I\/O, cao h\u01a1n r\u1ea5t nhi\u1ec1u so v\u1edbi thi\u1ebft k\u1ebf b\u1ed9 nh\u1edb truy\u1ec1n th\u1ed1ng. Nh\u1edd c\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y, HBM2e c\u00f3 th\u1ec3 \u0111\u1ea1t b\u0103ng th\u00f4ng c\u1ef1c l\u1edbn \u0111\u1ed3ng th\u1eddi gi\u1ea3m \u0111i\u1ec7n n\u0103ng ti\u00eau th\u1ee5 v\u00e0 gi\u1ea3m nhi\u1ec7t l\u01b0\u1ee3ng ph\u00e1t sinh. \u0110\u00e2y l\u00e0 y\u1ebfu t\u1ed1 r\u1ea5t quan tr\u1ecdng \u0111\u1ed1i v\u1edbi data center AI, n\u01a1i h\u00e0ng ngh\u00ecn GPU c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng li\u00ean t\u1ee5c 24\/7.<\/p>\n

V\u00ec sao HBM2e c\u00f3 gi\u00e1 r\u1ea5t cao?<\/h2>\n

HBM2e hi\u1ec7n l\u00e0 m\u1ed9t trong nh\u1eefng lo\u1ea1i b\u1ed9 nh\u1edb \u0111\u1eaft nh\u1ea5t ng\u00e0nh b\u00e1n d\u1eabn. Nguy\u00ean nh\u00e2n n\u1eb1m \u1edf quy tr\u00ecnh s\u1ea3n xu\u1ea5t c\u1ef1c k\u1ef3 ph\u1ee9c t\u1ea1p. C\u00e1c chip DRAM ph\u1ea3i \u0111\u01b0\u1ee3c x\u1ebfp ch\u1ed3ng ch\u00ednh x\u00e1c b\u1eb1ng c\u00f4ng ngh\u1ec7 TSV r\u1ed3i k\u1ebft n\u1ed1i v\u1edbi GPU th\u00f4ng qua silicon interposer. Qu\u00e1 tr\u00ecnh n\u00e0y y\u00eau c\u1ea7u \u0111\u1ed9 ch\u00ednh x\u00e1c r\u1ea5t cao v\u00e0 t\u1ef7 l\u1ec7 l\u1ed7i s\u1ea3n xu\u1ea5t c\u0169ng l\u1edbn h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi b\u1ed9 nh\u1edb th\u00f4ng th\u01b0\u1eddng.<\/p>\n

Ngo\u00e0i ra, s\u1ed1 h\u00e3ng \u0111\u1ee7 kh\u1ea3 n\u0103ng s\u1ea3n xu\u1ea5t HBM2e hi\u1ec7n kh\u00f4ng nhi\u1ec1u. Th\u1ecb tr\u01b0\u1eddng ch\u1ee7 y\u1ebfu do SK hynix, Samsung Electronics v\u00e0 Micron Technology n\u1eafm gi\u1eef.<\/p>\n

Theo Financial Times, HBM \u0111ang tr\u1edf th\u00e0nh m\u1ed9t trong nh\u1eefng ph\u00e2n kh\u00fac t\u0103ng tr\u01b0\u1edfng nhanh nh\u1ea5t ng\u00e0nh b\u00e1n d\u1eabn AI nh\u1edd nhu c\u1ea7u c\u1ef1c l\u1edbn t\u1eeb AI data center v\u00e0 Large Language Model.<\/p>\n

HBM \u0111ang tr\u1edf th\u00e0nh trung t\u00e2m c\u1ee7a ng\u00e0nh AI<\/h2>\n

Trong AI hi\u1ec7n \u0111\u1ea1i, b\u00e0i to\u00e1n kh\u00f4ng c\u00f2n ch\u1ec9 n\u1eb1m \u1edf s\u1ed1 TFLOPS c\u1ee7a GPU. V\u1ea5n \u0111\u1ec1 l\u1edbn h\u01a1n l\u00e0 GPU c\u00f3 nh\u1eadn d\u1eef li\u1ec7u \u0111\u1ee7 nhanh hay kh\u00f4ng. C\u00e1c m\u00f4 h\u00ecnh AI m\u1edbi ng\u00e0y c\u00e0ng l\u1edbn khi\u1ebfn nhu c\u1ea7u b\u1ed9 nh\u1edb t\u0103ng m\u1ea1nh theo t\u1eebng n\u0103m. \u0110\u00e2y l\u00e0 l\u00fd do HBM \u0111ang d\u1ea7n tr\u1edf n\u00ean ph\u1ed5 bi\u1ebfn c\u1ee7a c\u00e1c AI accelerator hi\u1ec7n \u0111\u1ea1i.<\/p>\n

Financial Times cho bi\u1ebft HBM \u0111ang gi\u00fap gi\u1ea3i quy\u1ebft \u201cmemory wall\u201d, t\u1ee9c t\u00ecnh tr\u1ea1ng kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u1ee7a GPU t\u0103ng nhanh h\u01a1n t\u1ed1c \u0111\u1ed9 truy\u1ec1n d\u1eef li\u1ec7u c\u1ee7a b\u1ed9 nh\u1edb. \u0110i\u1ec1u n\u00e0y c\u0169ng gi\u1ea3i th\u00edch v\u00ec sao NVIDIA, AMD v\u00e0 nhi\u1ec1u h\u00e3ng AI hi\u1ec7n ph\u1ee5 thu\u1ed9c r\u1ea5t l\u1edbn v\u00e0o ngu\u1ed3n cung HBM to\u00e0n c\u1ea7u.<\/p>\n

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

T\u01b0\u01a1ng lai c\u1ee7a HBM<\/h3>\n

Sau HBM2e, ng\u00e0nh c\u00f4ng nghi\u1ec7p \u0111ang ti\u1ebfp t\u1ee5c chuy\u1ec3n sang HBM3, HBM3e v\u00e0 trong t\u01b0\u01a1ng lai l\u00e0 HBM4. C\u00e1c th\u1ebf h\u1ec7 m\u1edbi t\u1eadp trung v\u00e0o vi\u1ec7c t\u0103ng bandwidth, t\u0103ng dung l\u01b0\u1ee3ng b\u1ed9 nh\u1edb, gi\u1ea3m \u0111i\u1ec7n n\u0103ng ti\u00eau th\u1ee5 v\u00e0 t\u1ed1i \u01b0u AI inference c\u0169ng nh\u01b0 training LLM.<\/p>\n

Theo nhi\u1ec1u d\u1ef1 b\u00e1o th\u1ecb tr\u01b0\u1eddng b\u00e1n d\u1eabn, nhu c\u1ea7u HBM s\u1ebd ti\u1ebfp t\u1ee5c t\u0103ng m\u1ea1nh trong nh\u1eefng n\u0103m t\u1edbi nh\u1edd AI data center v\u00e0 hyperscaler cloud ph\u00e1t tri\u1ec3n c\u1ef1c nhanh. \u0110i\u1ec1u n\u00e0y cho th\u1ea5y HBM g\u1ea7n nh\u01b0 s\u1ebd ti\u1ebfp t\u1ee5c l\u00e0 n\u1ec1n t\u1ea3ng b\u1ed9 nh\u1edb quan tr\u1ecdng nh\u1ea5t c\u1ee7a GPU AI cao c\u1ea5p trong t\u01b0\u01a1ng lai.<\/p>\n

B\u0103ng th\u00f4ng b\u1ed9 nh\u1edb th\u1ebf h\u1ec7 m\u1edbi HBM3<\/h3>\n

HBM3 l\u00e0 th\u1ebf h\u1ec7 m\u1edbi h\u01a1n c\u1ee7a HBM2e v\u00e0 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 ph\u1ee5c v\u1ee5 AI quy m\u00f4 l\u1edbn h\u01a1n n\u1eefa. So v\u1edbi HBM2e, HBM3 c\u1ea3i thi\u1ec7n m\u1ea1nh v\u1ec1 b\u0103ng th\u00f4ng, dung l\u01b0\u1ee3ng v\u00e0 hi\u1ec7u su\u1ea5t \u0111i\u1ec7n n\u0103ng. C\u00e1c GPU AI th\u1ebf h\u1ec7 m\u1edbi nh\u01b0 NVIDIA H100 hi\u1ec7n \u0111\u00e3 chuy\u1ec3n sang HBM3 ho\u1eb7c HBM3e nh\u1eb1m ph\u1ee5c v\u1ee5 AI training \u1edf quy m\u00f4 l\u1edbn h\u01a1n nhi\u1ec1u. Tuy nhi\u00ean, HBM2e hi\u1ec7n v\u1eabn c\u1ef1c k\u1ef3 m\u1ea1nh v\u00e0 c\u00f2n \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong nhi\u1ec1u h\u1ec7 th\u1ed1ng AI cloud nh\u1edd hi\u1ec7u n\u0103ng r\u1ea5t cao.<\/p>\n

HBM2e c\u00f3 \u00fd ngh\u0129a g\u00ec v\u1edbi doanh nghi\u1ec7p AI t\u1ea1i Vi\u1ec7t Nam?<\/h3>\n

\u0110\u1ed1i v\u1edbi doanh nghi\u1ec7p tri\u1ec3n khai AI, HBM2e \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn t\u1ed1c \u0111\u1ed9 training model, hi\u1ec7u su\u1ea5t inference, kh\u1ea3 n\u0103ng x\u1eed l\u00fd LLM v\u00e0 c\u1ea3 chi ph\u00ed v\u1eadn h\u00e0nh GPU.<\/p>\n

Khi thu\u00ea GPU AI cloud, nhi\u1ec1u doanh nghi\u1ec7p th\u01b0\u1eddng ch\u1ec9 nh\u00ecn v\u00e0o t\u00ean GPU m\u00e0 ch\u01b0a ch\u00fa \u00fd \u0111\u1ebfn lo\u1ea1i b\u1ed9 nh\u1edb s\u1eed d\u1ee5ng. Tuy nhi\u00ean tr\u00ean th\u1ef1c t\u1ebf, HBM2e l\u00e0 m\u1ed9t trong nh\u1eefng y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh s\u1ee9c m\u1ea1nh th\u1ef1c t\u1ebf c\u1ee7a GPU AI.<\/p>\n

\u0110\u00e2y c\u0169ng l\u00e0 l\u00fd do c\u00e1c GPU nh\u01b0 NVIDIA A100 v\u1eabn \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ea5t r\u1ed9ng r\u00e3i trong AI cloud v\u00e0 AI data center d\u00f9 th\u1ecb tr\u01b0\u1eddng \u0111\u00e3 xu\u1ea5t hi\u1ec7n nhi\u1ec1u th\u1ebf h\u1ec7 GPU m\u1edbi h\u01a1n.<\/p>\n

T\u1ed5ng k\u1ebft<\/h2>\n

HBM2e \u0111ang tr\u1edf th\u00e0nh m\u1ed9t trong nh\u1eefng c\u00f4ng ngh\u1ec7 quan tr\u1ecdng nh\u1ea5t ph\u00eda sau s\u1ee9c m\u1ea1nh c\u1ee7a GPU AI hi\u1ec7n \u0111\u1ea1i. V\u1edbi b\u0103ng th\u00f4ng c\u1ef1c l\u1edbn, \u0111\u1ed9 tr\u1ec5 th\u1ea5p v\u00e0 kh\u1ea3 n\u0103ng x\u1eed l\u00fd d\u1eef li\u1ec7u li\u00ean t\u1ee5c, HBM2e gi\u00fap c\u00e1c GPU nh\u01b0 NVIDIA A100 \u0111\u00e1p \u1ee9ng t\u1ed1t nhu c\u1ea7u training LLM, AI inference, Deep Learning v\u00e0 HPC quy m\u00f4 l\u1edbn.<\/p>\n

N\u1ebfu doanh nghi\u1ec7p ho\u1eb7c developer \u0111ang c\u1ea7n tri\u1ec3n khai AI, training model hay ch\u1ea1y GPU hi\u1ec7u n\u0103ng cao, d\u1ecbch v\u1ee5 Cloud GPU t\u1ea1i VNSO<\/span><\/a> l\u00e0 l\u1ef1a ch\u1ecdn ph\u00f9 h\u1ee3p \u0111\u1ec3 b\u1eaft \u0111\u1ea7u nhanh v\u1edbi chi ph\u00ed t\u1ed1i \u01b0u. Ch\u1ec9 t\u1eeb 59K\/gi\u1edd<\/strong>, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 ti\u1ebfp c\u1eadn c\u00e1c d\u00f2ng GPU AI m\u1ea1nh m\u1ebd ph\u1ee5c v\u1ee5 LLM, Stable Diffusion, AI chatbot v\u00e0 Machine Learning m\u00e0 kh\u00f4ng c\u1ea7n \u0111\u1ea7u t\u01b0 h\u1ea1 t\u1ea7ng h\u00e0ng tr\u0103m tri\u1ec7u \u0111\u1ed3ng.<\/p>\n

H\u1ec7 th\u1ed1ng Cloud GPU c\u1ee7a VNSO \u0111\u01b0\u1ee3c \u0111\u1eb7t t\u1ea1i Vi\u1ec7t Nam gi\u00fap gi\u1ea3m \u0111\u1ed9 tr\u1ec5 truy c\u1eadp, h\u1ed7 tr\u1ee3 k\u1ef9 thu\u1eadt nhanh, tri\u1ec3n khai linh ho\u1ea1t theo gi\u1edd v\u00e0 d\u1ec5 d\u00e0ng m\u1edf r\u1ed9ng t\u00e0i nguy\u00ean khi c\u1ea7n. \u0110\u00e2y l\u00e0 l\u1ee3i th\u1ebf l\u1edbn \u0111\u1ed1i v\u1edbi doanh nghi\u1ec7p AI, startup v\u00e0 developer c\u1ea7n t\u1ed1i \u01b0u chi ph\u00ed nh\u01b0ng v\u1eabn \u0111\u1ea3m b\u1ea3o hi\u1ec7u n\u0103ng GPU \u1ed5n \u0111\u1ecbnh cho c\u00e1c workload AI hi\u1ec7n \u0111\u1ea1i.<\/p>\n

>>> Li\u00ean h\u1ec7 v\u00e0 thu\u00ea ngay Cloud GPU NVIDIA A100 ch\u1ec9 t\u1eeb 59k\/gi\u1edd<\/a><\/strong><\/p>\n

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