{"id":11793,"date":"2026-06-09T09:03:36","date_gmt":"2026-06-09T02:03:36","guid":{"rendered":"https:\/\/microsoft.cmctelecom.vn\/microsoft-fabric-data-warehouse-tang-toc-bang-gpu-phan-tich-du-lieu-nhanh-hon\/"},"modified":"2026-06-09T18:21:32","modified_gmt":"2026-06-09T11:21:32","slug":"microsoft-fabric-data-warehouse-tang-toc-bang-gpu-phan-tich-du-lieu-nhanh-hon","status":"publish","type":"post","link":"https:\/\/microsoft.cmctelecom.vn\/ja\/microsoft-fabric-data-warehouse-tang-toc-bang-gpu-phan-tich-du-lieu-nhanh-hon\/","title":{"rendered":"Microsoft Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU: Ph\u00e2n t\u00edch d\u1eef li\u1ec7u nhanh h\u01a1n t\u1edbi 7 l\u1ea7n"},"content":{"rendered":"

Ng\u00e0y 3\/6\/2026, Microsoft \u0111\u00e3 c\u00f4ng b\u1ed1 b\u1ea3n xem tr\u01b0\u1edbc (Early Access Preview) c\u1ee7a Fabric Data Warehouse \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c b\u1eb1ng GPU. Gi\u1ea3i ph\u00e1p n\u00e0y h\u1ee9a h\u1eb9n mang l\u1ea1i hi\u1ec7u n\u0103ng ph\u00e2n t\u00edch nhanh h\u01a1n t\u1edbi 7 l\u1ea7n, \u0111\u1eb7c bi\u1ec7t v\u1edbi c\u00e1c workload AI v\u00e0 ph\u00e2n t\u00edch ph\u1ee9c t\u1ea1p, m\u00e0 kh\u00f4ng y\u00eau c\u1ea7u doanh nghi\u1ec7p ph\u1ea3i vi\u1ebft l\u1ea1i truy v\u1ea5n hay thay \u0111\u1ed5i h\u1ec7 th\u1ed1ng. \u0110\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc ti\u1ebfn quan tr\u1ecdng gi\u00fap c\u00e1c \u1ee9ng d\u1ee5ng, agent v\u00e0 h\u1ec7 th\u1ed1ng AI c\u00f3 th\u1ec3 truy v\u1ea5n d\u1eef li\u1ec7u li\u00ean t\u1ee5c, t\u1eeb \u0111\u00f3 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh nhanh h\u01a1n v\u00e0 l\u00e0m vi\u1ec7c v\u1edbi d\u1eef li\u1ec7u hi\u1ec7u qu\u1ea3 h\u01a1n.<\/p>\n

Gi\u1edbi thi\u1ec7u Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU<\/h2>\n

Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng chuy\u00ean bi\u1ec7t \u0111\u1ec3 cung c\u1ea5p kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch nhanh, c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n \u1edf quy m\u00f4 l\u1edbn, \u0111\u00e1p \u1ee9ng nhu c\u1ea7u c\u1ee7a c\u00e1c nh\u00e0 ph\u00e2n t\u00edch, k\u1ef9 s\u01b0 v\u00e0 l\u1eadp tr\u00ecnh vi\u00ean. T\u00ednh n\u0103ng n\u00e0y thay \u0111\u1ed5i vai tr\u00f2 c\u1ee7a kho d\u1eef li\u1ec7u t\u1eeb m\u1ed9t h\u1ec7 th\u1ed1ng b\u00e1o c\u00e1o truy\u1ec1n th\u1ed1ng th\u00e0nh m\u1ed9t l\u1edbp th\u1ef1c thi (execution layer) cho c\u00e1c \u1ee9ng d\u1ee5ng, agent v\u00e0 h\u1ec7 th\u1ed1ng AI.<\/p>\n

B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00f4ng ngh\u1ec7 \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c c\u1ee7a NVIDIA, Microsoft \u0111\u00e3 x\u00e2y d\u1ef1ng m\u1ed9t engine gi\u00fap c\u00e1c truy v\u1ea5n SQL quen thu\u1ed9c ch\u1ea1y nhanh h\u01a1n bao gi\u1edd h\u1ebft, \u0111\u1eb7c bi\u1ec7t khi \u0111\u1ed9 \u0111\u1ed3ng th\u1eddi, quy m\u00f4 v\u00e0 \u0111\u1ed9 ph\u1ee9c t\u1ea1p t\u0103ng l\u00ean. T\u1ea7m quan tr\u1ecdng c\u1ee7a c\u00f4ng tr\u00ecnh n\u00e0y \u0111\u00e3 \u0111\u01b0\u1ee3c c\u1ed9ng \u0111\u1ed3ng nghi\u00ean c\u1ee9u c\u00f4ng nh\u1eadn, bao g\u1ed3m gi\u1ea3i th\u01b0\u1edfng B\u00e0i b\u00e1o C\u00f4ng nghi\u1ec7p T\u1ed1t nh\u1ea5t t\u1ea1i h\u1ed9i ngh\u1ecb SIGMOD cho nghi\u00ean c\u1ee9u CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric<\/a>.<\/p>\n

Vi\u1ec7c s\u1eed d\u1ee5ng Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU r\u1ea5t \u0111\u01a1n gi\u1ea3n, kh\u00f4ng c\u1ea7n vi\u1ebft l\u1ea1i truy v\u1ea5n hay qu\u1ea3n l\u00fd h\u1ec7 th\u1ed1ng m\u1edbi. Doanh nghi\u1ec7p c\u00f3 th\u1ec3 b\u1eadt t\u00ednh n\u0103ng n\u00e0y t\u1eeb c\u00e0i \u0111\u1eb7t workspace, v\u00e0 n\u00f3 s\u1ebd \u00e1p d\u1ee5ng cho t\u1ea5t c\u1ea3 c\u00e1c SQL Analytics Endpoint v\u00e0 Data Warehouse trong workspace \u0111\u00f3. Khi ng\u01b0\u1eddi d\u00f9ng ch\u1ecdn “Run”, c\u00e1c truy v\u1ea5n \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n s\u1ebd t\u1ef1 \u0111\u1ed9ng \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c, cho ph\u00e9p c\u00e1c nh\u00f3m th\u1ef1c thi nhanh h\u01a1n v\u1edbi \u00edt c\u00f4ng s\u1ee9c tinh ch\u1ec9nh th\u1ee7 c\u00f4ng h\u01a1n.<\/p>\n

\"K\u00edch<\/figure>\n

Ph\u00e2n t\u00edch nhanh h\u01a1n, ra quy\u1ebft \u0111\u1ecbnh t\u1ed1t h\u01a1n<\/h3>\n

Nhi\u1ec1u kh\u00e1ch h\u00e0ng c\u1ee7a Microsoft trong c\u00e1c l\u0129nh v\u1ef1c d\u1ecbch v\u1ee5 chuy\u00ean nghi\u1ec7p, y t\u1ebf v\u00e0 s\u1ea3n xu\u1ea5t \u0111\u00e3 nh\u1eadn th\u1ea5y gi\u00e1 tr\u1ecb t\u1eeb Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU.<\/p>\n

Trong ng\u00e0nh y t\u1ebf, th\u00f4ng tin chi ti\u1ebft k\u1ecbp th\u1eddi l\u00e0 r\u1ea5t quan tr\u1ecdng, v\u00e0 Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU s\u1ebd gi\u00fap \u0111\u1ea3m b\u1ea3o d\u1eef li\u1ec7u quan tr\u1ecdng lu\u00f4n s\u1eb5n s\u00e0ng khi c\u00e1c b\u00e1c s\u0129 v\u00e0 nh\u00e0 l\u00e3nh \u0111\u1ea1o c\u1ea7n \u0111\u1ebfn nh\u1ea5t. Ch\u00fang t\u00f4i nh\u1eadn th\u1ea5y t\u1ed1c \u0111\u1ed9 truy v\u1ea5n c\u1ea3i thi\u1ec7n t\u1edbi 5 l\u1ea7n, cho ph\u00e9p \u0111\u1ed9i ng\u0169 c\u1ee7a ch\u00fang t\u00f4i d\u00e0nh \u00edt th\u1eddi gian h\u01a1n \u0111\u1ec3 qu\u1ea3n l\u00fd hi\u1ec7u n\u0103ng v\u00e0 nhi\u1ec1u th\u1eddi gian h\u01a1n \u0111\u1ec3 cung c\u1ea5p nh\u1eefng th\u00f4ng tin chi ti\u1ebft c\u00f3 \u00fd ngh\u0129a.
\n\u2013 Shaun McDonald<\/strong>, IT Manager, UNC Health<\/p>\n

Tr\u1ea3i nghi\u1ec7m c\u1ee7a ch\u00fang t\u00f4i v\u1edbi Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU r\u1ea5t tuy\u1ec7t v\u1eddi. Kh\u1ea3 n\u0103ng n\u00e0y t\u00edch h\u1ee3p li\u1ec1n m\u1ea1ch v\u00e0o ki\u1ebfn tr\u00fac hi\u1ec7n c\u00f3 c\u1ee7a ch\u00fang t\u00f4i v\u00e0 \u0111\u00e3 mang l\u1ea1i nh\u1eefng c\u1ea3i thi\u1ec7n hi\u1ec7u n\u0103ng \u0111\u00e1ng k\u1ec3 tr\u00ean nhi\u1ec1u lo\u1ea1i truy v\u1ea5n, v\u1edbi c\u00e1c workload ph\u1ee9c t\u1ea1p ch\u1ea1y nhanh h\u01a1n 3,4 l\u1ea7n \u1edf m\u1ee9c \u0111\u1ed9 \u0111\u1ed3ng th\u1eddi \u0111\u01a1n v\u00e0 \u1ed5n \u0111\u1ecbnh h\u01a1n.
\n\u2013 Andrew Bradbrook<\/strong>, Director \u2013 Systems Architecture, WTW<\/p>\n

T\u00ednh n\u0103ng Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU t\u00edch h\u1ee3p tr\u01a1n tru v\u1edbi m\u00f4i tr\u01b0\u1eddng Fabric hi\u1ec7n c\u00f3 c\u1ee7a ch\u00fang t\u00f4i v\u00e0 r\u1ea5t d\u1ec5 \u0111\u1ec3 k\u00edch ho\u1ea1t v\u00e0 \u0111\u00e1nh gi\u00e1. Ch\u00fang t\u00f4i quan s\u00e1t th\u1ea5y s\u1ef1 c\u1ea3i thi\u1ec7n hi\u1ec7u n\u0103ng r\u00f5 r\u1ec7t \u0111\u1ed1i v\u1edbi c\u00e1c workload kho d\u1eef li\u1ec7u n\u1eb7ng v\u1ec1 ph\u00e2n t\u00edch, bao g\u1ed3m c\u1ea3 vi\u1ec7c th\u1ef1c thi c\u00e1c truy v\u1ea5n ph\u1ee9c t\u1ea1p nhanh h\u01a1n. Kh\u1ea3 n\u0103ng n\u00e0y \u0111\u1eb7c bi\u1ec7t c\u00f3 gi\u00e1 tr\u1ecb cho c\u00e1c k\u1ecbch b\u1ea3n b\u00e1o c\u00e1o quy m\u00f4 l\u1edbn.
\n\u2013 Rajkumar Maheshwar<\/strong>, Sr. Manager, Enterprise Data Engineering, Benjamin Moore<\/p><\/blockquote>\n

C\u01a1 ch\u1ebf ho\u1ea1t \u0111\u1ed9ng<\/h2>\n

Khi ng\u01b0\u1eddi d\u00f9ng ch\u1ea1y m\u1ed9t truy v\u1ea5n, vi\u1ec7c t\u0103ng t\u1ed1c b\u1eb1ng GPU di\u1ec5n ra ho\u00e0n to\u00e0n t\u1ef1 \u0111\u1ed9ng. C\u00e1c truy v\u1ea5n \u0111i qua SQL frontend, n\u01a1i ch\u00fang \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch v\u00e0 t\u1ed1i \u01b0u h\u00f3a nh\u01b0 hi\u1ec7n t\u1ea1i. Sau \u0111\u00f3, truy v\u1ea5n \u0111\u01b0\u1ee3c chuy\u1ec3n \u0111\u1ebfn engine ph\u00e2n t\u00e1n, n\u01a1i n\u00f3 \u0111\u01b0\u1ee3c chia th\u00e0nh c\u00e1c m\u1ea3nh v\u00e0 ph\u00e2n ph\u1ed1i c\u00f4ng vi\u1ec7c tr\u00ean to\u00e0n h\u1ec7 th\u1ed1ng.<\/p>\n

\u0110i\u1ec3m kh\u00e1c bi\u1ec7t n\u1eb1m \u1edf c\u00e1ch th\u1ef1c thi truy v\u1ea5n. Thay v\u00ec g\u1eedi to\u00e0n b\u1ed9 c\u00f4ng vi\u1ec7c \u0111\u1ebfn CPU, tr\u00ecnh t\u1ed1i \u01b0u h\u00f3a c\u00f3 th\u1ec3 \u0111\u1ea9y c\u00e1c ph\u1ea7n \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n c\u1ee7a k\u1ebf ho\u1ea1ch truy v\u1ea5n sang GPU. \u0110i\u1ec1u n\u00e0y x\u1ea3y ra m\u1ed9t c\u00e1ch th\u00f4ng minh, gi\u00fap t\u0103ng t\u1ed1c c\u00e1c ho\u1ea1t \u0111\u1ed9ng nh\u01b0 join v\u00e0 aggregation l\u1edbn, trong khi ph\u1ea7n c\u00f2n l\u1ea1i v\u1eabn th\u1ef1c thi tr\u00ean CPU. N\u1ebfu m\u1ed9t truy v\u1ea5n kh\u00f4ng \u0111\u1ee7 \u0111i\u1ec1u ki\u1ec7n \u0111\u1ec3 th\u1ef1c thi tr\u00ean GPU, n\u00f3 s\u1ebd li\u1ec1n m\u1ea1ch ch\u1ea1y tr\u00ean CPU, \u0111\u1ea3m b\u1ea3o t\u00ednh \u0111\u00fang \u0111\u1eafn.<\/p>\n

K\u1ebft qu\u1ea3 l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng kh\u00f4ng c\u00f3 g\u00ec thay \u0111\u1ed5i \u0111\u1ed1i v\u1edbi ng\u01b0\u1eddi d\u00f9ng: v\u1eabn l\u00e0 b\u1ec1 m\u1eb7t T-SQL, c\u00f4ng c\u1ee5 v\u00e0 ki\u1ebfn tr\u00fac quen thu\u1ed9c. \u0110i\u1ec1u duy nh\u1ea5t thay \u0111\u1ed5i l\u00e0 hi\u1ec7u n\u0103ng. B\u1eb1ng c\u00e1ch \u0111\u01b0a GPU v\u00e0o engine th\u1ef1c thi, Fabric Data Warehouse c\u00f3 th\u1ec3 x\u1eed l\u00fd nhi\u1ec1u d\u1eef li\u1ec7u h\u01a1n song song, gi\u1ea3m \u0111\u1ed9 tr\u1ec5 cho c\u00e1c truy v\u1ea5n ph\u1ee9c t\u1ea1p v\u00e0 mang l\u1ea1i hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh, \u0111\u1ed9 tr\u1ec5 th\u1ea5p c\u1ea7n thi\u1ebft cho c\u00e1c \u1ee9ng d\u1ee5ng ph\u00e2n t\u00edch, \u1ee9ng d\u1ee5ng v\u00e0 h\u1ec7 th\u1ed1ng AI hi\u1ec7n \u0111\u1ea1i.<\/p>\n

\u0110\u1ec3 \u0111\u1ecbnh l\u01b0\u1ee3ng t\u00e1c \u0111\u1ed9ng c\u1ee7a vi\u1ec7c t\u0103ng t\u1ed1c b\u1eb1ng GPU, Microsoft \u0111\u00e3 ch\u1ea1y c\u00e1c b\u00e0i ki\u1ec3m tra benchmark theo ti\u00eau chu\u1ea9n ng\u00e0nh v\u1edbi ba nh\u00e0 cung c\u1ea5p kho d\u1eef li\u1ec7u \u0111\u00e1m m\u00e2y t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u00e0 quan s\u00e1t th\u1ea5y hi\u1ec7u n\u0103ng nhanh h\u01a1n t\u1edbi 7 l\u1ea7n trong c\u00e1c k\u1ecbch b\u1ea3n ph\u00e2n t\u00edch b\u00e1o c\u00e1o, \u1ee9ng d\u1ee5ng v\u00e0 AI. \u0110\u00e2y l\u00e0 nh\u1eefng workload th\u01b0\u1eddng \u0111\u1ea9y c\u00e1c h\u1ec7 th\u1ed1ng \u0111\u1ebfn gi\u1edbi h\u1ea1n, v\u1edbi nhi\u1ec1u ng\u01b0\u1eddi d\u00f9ng v\u00e0 agent c\u00f9ng l\u00fac g\u1eedi truy v\u1ea5n.<\/p>\n

\"Bi\u1ec3u<\/figure>\n

H\u00ecnh: Th\u1eddi gian ch\u1ea1y truy v\u1ea5n \u1edf c\u00e1c m\u1ee9c \u0111\u1ed9 \u0111\u1ed3ng th\u1eddi (1, 16, 64 ng\u01b0\u1eddi d\u00f9ng). Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU cho th\u1eddi gian th\u1ef1c thi th\u1ea5p h\u01a1n, v\u1edbi hi\u1ec7u n\u0103ng nhanh h\u01a1n t\u1edbi 7 l\u1ea7n \u1edf m\u1ee9c \u0111\u1ed9 \u0111\u1ed3ng th\u1eddi cao.<\/p>\n

\u1ede quy m\u00f4 d\u1eef li\u1ec7u 100 GB, \u0111i\u1ec1u n\u1ed5i b\u1eadt kh\u00f4ng ch\u1ec9 l\u00e0 t\u1ed1c \u0111\u1ed9 c\u1ee7a c\u00e1c truy v\u1ea5n ri\u00eang l\u1ebb, m\u00e0 c\u00f2n l\u00e0 c\u00e1ch h\u1ec7 th\u1ed1ng ho\u1ea1t \u0111\u1ed9ng d\u01b0\u1edbi t\u1ea3i. Khi \u0111\u1ed9 \u0111\u1ed3ng th\u1eddi t\u0103ng l\u00ean, h\u1ea7u h\u1ebft c\u00e1c kho d\u1eef li\u1ec7u \u0111\u1ec1u ch\u1eadm l\u1ea1i v\u00e0 tr\u1edf n\u00ean kh\u00f3 d\u1ef1 \u0111o\u00e1n h\u01a1n. Ng\u01b0\u1ee3c l\u1ea1i, kho d\u1eef li\u1ec7u t\u0103ng t\u1ed1c b\u1eb1ng GPU c\u1ee7a Fabric v\u1eabn duy tr\u00ec hi\u1ec7u n\u0103ng \u1ed5n \u0111\u1ecbnh, ho\u00e0n th\u00e0nh to\u00e0n b\u1ed9 workload 22 truy v\u1ea5n trong kho\u1ea3ng n\u0103m gi\u00e2y d\u00f9 ch\u1ec9 c\u00f3 m\u1ed9t ng\u01b0\u1eddi d\u00f9ng hay 64 ng\u01b0\u1eddi d\u00f9ng \u0111\u1ed3ng th\u1eddi.<\/p>\n

X\u00e2y d\u1ef1ng tr\u00ean n\u1ec1n t\u1ea3ng \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c c\u1ee7a NVIDIA<\/h2>\n

N\u1ec1n t\u1ea3ng \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c c\u1ee7a NVIDIA l\u00e0 y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i c\u1ee7a kh\u1ea3 n\u0103ng n\u00e0y. Microsoft s\u1eed d\u1ee5ng c\u00e1c kernel CUDA t\u00f9y ch\u1ec9nh cho c\u00e1c ho\u1ea1t \u0111\u1ed9ng quan tr\u1ecdng nh\u01b0 join, aggregation, scan v\u00e0 t\u00ednh to\u00e1n s\u1ed1 h\u1ecdc, \u0111\u1ed3ng th\u1eddi t\u1eadn d\u1ee5ng LibTorch \u0111\u1ec3 qu\u1ea3n l\u00fd b\u1ed9 nh\u1edb v\u00e0 c\u00e1c ho\u1ea1t \u0111\u1ed9ng \u0111a d\u1ee5ng. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p khai th\u00e1c kh\u1ea3 n\u0103ng x\u1eed l\u00fd song song kh\u1ed5ng l\u1ed3 c\u1ee7a GPU \u0111\u1ec3 t\u0103ng t\u1ed1c c\u00e1c workload ph\u00e2n t\u00edch trong th\u1ef1c t\u1ebf m\u00e0 v\u1eabn duy tr\u00ec t\u00ednh \u0111\u00fang \u0111\u1eafn v\u00e0 \u0111\u1ed9 tin c\u1eady c\u1ee7a c\u01a1 s\u1edf d\u1eef li\u1ec7u.<\/p>\n

C\u00e1c ph\u00e9p join SQL ph\u1ee9c t\u1ea1p v\u00e0 qu\u00e9t d\u1eef li\u1ec7u quy m\u00f4 l\u1edbn cung c\u1ea5p n\u0103ng l\u01b0\u1ee3ng cho c\u00e1c workload AI agentic th\u01b0\u1eddng bi\u1ebfn c\u00e1c h\u1ec7 th\u1ed1ng x\u1eed l\u00fd d\u1eef li\u1ec7u truy\u1ec1n th\u1ed1ng th\u00e0nh m\u1ed9t n\u00fat th\u1eaft c\u1ed5 chai, \u0111\u1eb7c bi\u1ec7t l\u00e0 d\u01b0\u1edbi \u00e1p l\u1ef1c \u0111\u1ed3ng th\u1eddi cao t\u1eeb ng\u01b0\u1eddi d\u00f9ng. B\u1eb1ng c\u00e1ch gi\u1ea3m t\u1ea3i m\u1ed9t c\u00e1ch th\u00f4ng minh c\u00e1c ho\u1ea1t \u0111\u1ed9ng t\u00ednh to\u00e1n chuy\u00ean s\u00e2u cho n\u1ec1n t\u1ea3ng \u0111i\u1ec7n to\u00e1n t\u0103ng t\u1ed1c c\u1ee7a NVIDIA, Microsoft Fabric Data Warehouse ho\u1ea1t \u0111\u1ed9ng nhanh h\u01a1n 6 l\u1ea7n so v\u1edbi Fabric Data Warehouse ch\u1ec9 d\u00f9ng CPU. C\u00e1c nh\u00f3m d\u1eef li\u1ec7u gi\u1edd \u0111\u00e2y c\u00f3 th\u1ec3 ch\u1ea1y c\u00e1c truy v\u1ea5n T-SQL n\u1eb7ng v\u1ec1 t\u00e0i nguy\u00ean v\u1edbi \u0111\u1ed9 tr\u1ec5 c\u1ef1c th\u1ea5p, m\u1edf ra c\u00e1c \u1ee9ng d\u1ee5ng AI s\u1ea3n xu\u1ea5t nhanh h\u01a1n v\u00e0 c\u00f3 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng t\u1ed1t h\u01a1n.
\n\u2013 Todd Mostak<\/strong>, Senior Director, Analytics and Data Intelligence, NVIDIA<\/p><\/blockquote>\n

K\u1ef7 nguy\u00ean m\u1edbi cho ng\u00e0nh ph\u00e2n t\u00edch d\u1eef li\u1ec7u<\/h2>\n

Khi c\u00e1c \u1ee9ng d\u1ee5ng, agent v\u00e0 h\u1ec7 th\u1ed1ng AI ng\u00e0y c\u00e0ng ph\u1ee5 thu\u1ed9c v\u00e0o d\u1eef li\u1ec7u, hi\u1ec7u n\u0103ng kh\u00f4ng c\u00f2n ch\u1ec9 l\u00e0 m\u1ed9t v\u1ea5n \u0111\u1ec1 k\u1ef9 thu\u1eadt. N\u00f3 tr\u1edf th\u00e0nh m\u1ed9t ph\u1ea7n c\u1ee7a tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng. M\u1ecdi truy v\u1ea5n \u0111\u1ec1u quan tr\u1ecdng v\u00e0 m\u1ecdi s\u1ef1 ch\u1eadm tr\u1ec5 \u0111\u1ec1u c\u00f3 th\u1ec3 nh\u1eadn th\u1ea5y. Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU gi\u1ea3i quy\u1ebft s\u1ef1 thay \u0111\u1ed5i n\u00e0y b\u1eb1ng c\u00e1ch mang \u0111\u1ebfn m\u1ed9t m\u00f4 h\u00ecnh th\u1ef1c thi m\u1edbi cho ng\u00e0nh ph\u00e2n t\u00edch, m\u1ed9t m\u00f4 h\u00ecnh mang l\u1ea1i hi\u1ec7u n\u0103ng c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n \u1edf quy m\u00f4 l\u1edbn v\u00e0 cho ph\u00e9p m\u1ed9t l\u1edbp k\u1ecbch b\u1ea3n s\u1eed d\u1ee5ng m\u1edbi. \u0110\u00e2y kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t c\u1ea3i ti\u1ebfn v\u1ec1 t\u1ed1c \u0111\u1ed9, m\u00e0 l\u00e0 m\u1ed9t s\u1ef1 thay \u0111\u1ed5i c\u01a1 b\u1ea3n trong c\u00e1ch c\u00e1c h\u1ec7 th\u1ed1ng ph\u00e2n t\u00edch \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng v\u00e0 s\u1eed d\u1ee5ng, cung c\u1ea5p n\u0103ng l\u01b0\u1ee3ng cho c\u00e1c \u1ee9ng d\u1ee5ng v\u00e0 agent do AI \u0111i\u1ec1u khi\u1ec3n.<\/p>\n

B\u1eaft \u0111\u1ea7u<\/h3>\n

Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU s\u1ebd s\u1edbm kh\u1ea3 d\u1ee5ng d\u01b0\u1edbi d\u1ea1ng b\u1ea3n xem tr\u01b0\u1edbc truy c\u1eadp s\u1edbm (early access preview) t\u1ea1i b\u1ed1n khu v\u1ef1c. Doanh nghi\u1ec7p c\u00f3 th\u1ec3 \u0111\u0103ng k\u00fd ngay h\u00f4m nay<\/a> \u0111\u1ec3 c\u00f3 quy\u1ec1n truy c\u1eadp v\u00e0 b\u1eaft \u0111\u1ea7u x\u00e2y d\u1ef1ng \u1ee9ng d\u1ee5ng c\u0169ng nh\u01b0 cung c\u1ea5p th\u00f4ng tin chi ti\u1ebft t\u1eeb AI v\u00e0 BI nhanh h\u01a1n bao gi\u1edd h\u1ebft.<\/p>","protected":false},"excerpt":{"rendered":"

Ng\u00e0y 3\/6\/2026, Microsoft \u0111\u00e3 c\u00f4ng b\u1ed1 b\u1ea3n xem tr\u01b0\u1edbc (Early Access Preview) c\u1ee7a Fabric Data Warehouse \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c b\u1eb1ng GPU. Gi\u1ea3i ph\u00e1p n\u00e0y h\u1ee9a h\u1eb9n mang l\u1ea1i hi\u1ec7u n\u0103ng ph\u00e2n t\u00edch nhanh h\u01a1n t\u1edbi 7 l\u1ea7n, \u0111\u1eb7c bi\u1ec7t v\u1edbi c\u00e1c workload AI v\u00e0 ph\u00e2n t\u00edch ph\u1ee9c t\u1ea1p, m\u00e0 kh\u00f4ng y\u00eau c\u1ea7u doanh nghi\u1ec7p ph\u1ea3i vi\u1ebft l\u1ea1i truy v\u1ea5n hay thay \u0111\u1ed5i h\u1ec7 th\u1ed1ng. \u0110\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc ti\u1ebfn quan tr\u1ecdng gi\u00fap c\u00e1c \u1ee9ng d\u1ee5ng, agent v\u00e0 h\u1ec7 th\u1ed1ng AI c\u00f3 th\u1ec3 truy v\u1ea5n d\u1eef li\u1ec7u li\u00ean t\u1ee5c, t\u1eeb \u0111\u00f3 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh nhanh h\u01a1n v\u00e0 l\u00e0m vi\u1ec7c v\u1edbi d\u1eef li\u1ec7u hi\u1ec7u qu\u1ea3 h\u01a1n. Gi\u1edbi thi\u1ec7u Fabric Data Warehouse…<\/p>","protected":false},"author":15,"featured_media":11790,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11793","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ms-blogs"],"acf":[],"yoast_head":"\nMicrosoft Fabric Data Warehouse t\u0103ng t\u1ed1c b\u1eb1ng GPU: Ph\u00e2n t\u00edch d\u1eef li\u1ec7u nhanh h\u01a1n t\u1edbi 7 l\u1ea7n | CMC Telecom<\/title>\n<meta name=\"description\" content=\"\u0110\u1ed1i t\u00e1c Tier-1 Solutions Provider c\u1ee7a Microsoft t\u1ea1i Vi\u1ec7t Nam\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Microsoft 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