{"id":3223,"date":"2021-05-27T11:56:22","date_gmt":"2021-05-27T11:56:22","guid":{"rendered":"https:\/\/www.thegioimaychu.vn\/solution\/?p=3223"},"modified":"2021-05-30T22:42:54","modified_gmt":"2021-05-30T22:42:54","slug":"nvidia-virtual-compute-server-cung-cap-suc-manh-xu-ly-tang-toc-linh-hoat-cho-cac-workload","status":"publish","type":"post","link":"https:\/\/thegioimaychu.vn\/solution\/vendor\/nvidia\/nvidia-virtual-compute-server-cung-cap-suc-manh-xu-ly-tang-toc-linh-hoat-cho-cac-workload-p3223\/","title":{"rendered":"NVIDIA Virtual Compute Server: Cung c\u1ea5p s\u1ee9c m\u1ea1nh x\u1eed l\u00fd t\u0103ng t\u1ed1c linh ho\u1ea1t cho c\u00e1c workload"},"content":{"rendered":"

C\u00e1c m\u00e1y x\u1eed l\u00fd (Compute) \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c, v\u00e0 \u0111\u01b0\u1ee3c \u1ea3o ho\u00e1<\/h3>\n

Quy tr\u00ecnh l\u00e0m vi\u1ec7c c\u1ee7a AI, Deep learning v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u \u0111\u00f2i h\u1ecfi ph\u1ea3i c\u00f3 s\u1ee9c m\u1ea1nh x\u1eed l\u00fd ch\u01b0a t\u1eebng c\u00f3. NVIDIA Virtual Compute Server (vCS)<\/a> cho ph\u00e9p c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c v\u00e0 \u1ea3o h\u00f3a v\u1edbi GPU NVIDIA m\u1edbi nh\u1ea5t, bao g\u1ed3m GPU NVIDIA A100<\/a> v\u00e0 A30<\/a> Tensor Core, \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o khai th\u00e1c s\u1ee9c m\u1ea1nh GPU cho c\u00e1c workload x\u1eed l\u00fd chuy\u00ean s\u00e2u nh\u1ea5t, ch\u1eb3ng h\u1ea1n nh\u01b0 AI, Deep Learning v\u00e0 Data science. Ch\u00fang c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ch\u1ea1y tr\u00ean m\u1ed9t m\u00e1y \u1ea3o (VM) \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi c\u00f4ng ngh\u1ec7 NVIDIA vGPU ti\u00ean ti\u1ebfn.<\/p>\n

N\u00c2NG C\u1ea4P \u0110\u1ec2 \u0110\u1ea0T HI\u1ec6U QU\u1ea2 T\u1ed0I \u0110A<\/h4>\n

NVIDIA Virtual GPUs mang \u0111\u1ebfn cho b\u1ea1n hi\u1ec7u su\u1ea5t g\u1ea7n nh\u01b0 ti\u1ec7m c\u1eadn v\u1edbi m\u00e1y v\u1eadt l\u00fd trong m\u00f4i tr\u01b0\u1eddng \u1ea3o h\u00f3a, s\u1eed d\u1ee5ng, qu\u1ea3n l\u00fd v\u00e0 \u0111\u01b0\u1ee3c gi\u00e1m s\u00e1t t\u1ed1i \u0111a, trong m\u00f4i tr\u01b0\u1eddng \u1ea3o h\u00f3a d\u1ef1a tr\u00ean hypervisor, \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c t\u1ed1i \u0111a cho AI.<\/p>\n

M\u1edf r\u1ed9ng hi\u1ec7u su\u1ea5t \u0111\u00e0o t\u1ea1o Deep Learning v\u1edbi vCS tr\u00ean NVIDIA A100 Tensor Core GPUs<\/h4>\n

C\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n, nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u, nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 sinh vi\u00ean c\u1ea7n m\u1ed9t l\u01b0\u1ee3ng l\u1edbn s\u1ee9c m\u1ea1nh t\u00ednh to\u00e1n \u0111\u1ec3 th\u1ef1c hi\u1ec7n \u0111\u00e0o t\u1ea1o Deep learning. GPU A100 Tensor Core t\u0103ng t\u1ed1c kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c, cho ph\u00e9p ch\u00fang ta l\u00e0m \u0111\u01b0\u1ee3c nhi\u1ec1u vi\u1ec7c h\u01a1n. Ph\u1ea7n m\u1ec1m NVIDIA Virtual Compute Server, mang l\u1ea1i hi\u1ec7u su\u1ea5t g\u1ea7n nh\u01b0 t\u01b0\u01a1ng \u0111\u01b0\u01a1ng v\u1edbi bare-metal, ngay c\u1ea3 khi m\u1edf r\u1ed9ng sang c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o h\u1ecdc s\u00e2u (deep learning training) s\u1eed d\u1ee5ng nhi\u1ec1u GPU.<\/p>\n

<\/p>\n

T\u1ed1c \u0111\u1ed9 suy lu\u1eadn h\u1ecdc s\u00e2u t\u1ed1i \u01b0u v\u1edbi Multi-Instant GPU tr\u00ean GPU NVIDIA A100 Tensor Core s\u1eed d\u1ee5ng vCS<\/h3>\n

Multi-instance GPU (MIG) l\u00e0 m\u1ed9t c\u00f4ng ngh\u1ec7 ch\u1ec9 \u0111\u01b0\u1ee3c t\u00ecm th\u1ea5y tr\u00ean GPU NVIDIA A100 Tensor Core, gi\u00fap ph\u00e2n chia GPU A100 th\u00e0nh b\u1ea3y phi\u00ean b\u1ea3n, m\u1ed7i phi\u00ean b\u1ea3n \u0111\u01b0\u1ee3c ch\u1ea1y \u0111\u1ed9c l\u1eadp ho\u00e0n to\u00e0n v\u1edbi b\u1ed9 nh\u1edb b\u0103ng th\u00f4ng cao, b\u1ed9 nh\u1edb \u0111\u1ec7m v\u00e0 l\u00f5i t\u00ednh to\u00e1n c\u1ee7a ri\u00eang ch\u00fang. MIG c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng v\u1edbi M\u00e1y ch\u1ee7 t\u00ednh to\u00e1n \u1ea3o h\u00f3a (Virtual Compute Server), m\u1ed9t m\u00e1y \u1ea3o (VM) cho m\u1ed7i phi\u00ean b\u1ea3n MIG. Hi\u1ec7u su\u1ea5t nh\u1ea5t qu\u00e1n khi ch\u1ea1y kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c suy lu\u1eadn tr\u00ean nhi\u1ec1u phi\u00ean b\u1ea3n MIG tr\u00ean c\u1ea3 baremetal v\u00e0 \u0111\u01b0\u1ee3c \u1ea3o h\u00f3a b\u1eb1ng vCS.<\/p><\/blockquote>\n

<\/p>\n

\n
\"T\u1ed1i<\/p>\n

T\u00c0I NGUY\u00caN D\u00c0NH CHO NG\u01af\u1edcI QU\u1ea2N L\u00dd CNTT<\/h3>\n

T\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00e1ch NVIDIA Virtual Compute Server gi\u00fap t\u1ed1i \u0111a h\u00f3a hi\u1ec7u su\u1ea5t v\u00e0 \u0111\u01a1n gi\u1ea3n h\u00f3a vi\u1ec7c qu\u1ea3n l\u00fd CNTT.<\/p>\n<\/div>\n

\"Qu\u1ea3n<\/p>\n

T\u1ed1i \u01b0u h\u00f3a hi\u1ec7u qu\u1ea3 s\u1eed d\u1ee5ng<\/h3>\n

T\u1eadn d\u1ee5ng c\u00e1c t\u00e0i nguy\u00ean GPU c\u00f3 gi\u00e1 tr\u1ecb \u0111\u1ec3 cung c\u1ea5p li\u1ec1n m\u1ea1ch t\u00ednh n\u0103ng chia s\u1ebb GPU cho c\u00e1c kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c nh\u1eb9 h\u01a1n nh\u01b0 suy lu\u1eadn ho\u1eb7c nhi\u1ec1u GPU \u1ea3o \u0111\u1ec3 c\u00f3 kh\u1ed1i l\u01b0\u1ee3ng c\u00f4ng vi\u1ec7c t\u00ednh to\u00e1n chuy\u00ean s\u00e2u h\u01a1n nh\u01b0 Deep Learning Training.<\/p>\n<\/div>\n<\/div>\n

\n
\n

Qu\u1ea3n l\u00fd v\u00e0 Gi\u00e1m s\u00e1t<\/h3>\n

\u0110\u1ea3m b\u1ea3o t\u00ednh kh\u1ea3 d\u1ee5ng cao v\u00e0 th\u1eddi gian ho\u1ea1t \u0111\u1ed9ng c\u1ee7a h\u1ec7 th\u1ed1ng \u0111\u01b0\u1ee3c c\u00e1c nh\u00e0 khoa h\u1ecdc v\u00e0 nh\u00e0 nghi\u00ean c\u1ee9u d\u1eef li\u1ec7u tr\u00f4ng c\u1eady v\u00e0o. D\u1ec5 d\u00e0ng theo d\u00f5i hi\u1ec7u su\u1ea5t GPU \u1edf c\u1ea5p \u0111\u1ed9 kh\u00e1ch (guest), m\u00e1y ch\u1ee7 v\u00e0 \u1ee9ng d\u1ee5ng (application level). B\u1ea1n th\u1eadm ch\u00ed c\u00f3 th\u1ec3 t\u1eadn d\u1ee5ng c\u00e1c c\u00f4ng c\u1ee5 qu\u1ea3n l\u00fd nh\u01b0 t\u1ea1m ng\u1eebng \/ ti\u1ebfp t\u1ee5c v\u00e0 di chuy\u1ec3n tr\u1ef1c ti\u1ebfp (live migration).<\/p>\n

C\u00e1c d\u00f2ng GPU h\u1ed7 tr\u1ee3 \u1ea3o h\u00f3a c\u1ee7a NVIDIA<\/span><\/h3>\n

Virtual Compute Server (vCS)<\/a> \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi c\u00e1c GPU NVIDIA m\u1ea1nh nh\u1ea5t hi\u1ec7n c\u00f3, bao g\u1ed3m d\u00f2ng GPU Data Center NVIDIA A100 Tensor Core, GPU NVIDIA A40 Tensor Core, GPU NVIDIA T4 Tensor Core v\u00e0 GPU NVIDIA V100 Tensor Core.<\/div>\n<\/div>\n

Danh s\u00e1ch \u0111\u1ea7y \u0111\u1ee7 nh\u1eefng GPU \u0111\u01b0\u1ee3c NVIDIA \u0111\u1ec1 xu\u1ea5t cho \u1ea3o h\u00f3a (h\u1ed7 tr\u1ee3 vGPU).<\/p>\n\n\n\n\n\n\n\n\n
GPU<\/th>\nA100<\/th>\nA30<\/th>\nA40<\/th>\nA10<\/th>\nA16<\/th>\n<\/tr>\n<\/thead>\n
GPU Architecture<\/td>\nNVIDIA Ampere<\/td>\nNVIDIA Ampere<\/td>\nNVIDIA Ampere<\/td>\nNVIDIA Ampere<\/td>\nNVIDIA Ampere<\/td>\n<\/tr>\n
Memory Size<\/td>\n40 GB HBM2<\/td>\n24 GB GDDR6<\/td>\n48 GB GDDR6<\/td>\n24 GB GDDR6<\/td>\n64 GB GDDR6 (16 GB per GPU)<\/td>\n<\/tr>\n
Virtualization Workload<\/td>\nHighest performance virtualized compute including AI, HPC and data processing, includes support for up to 7 MIG instances. Upgrade path for V100\/V100S Tensor Core GPUs.<\/td>\nVirtualize mainstream compute and AI inference, includes support for up to 4 MIG instances.<\/td>\nMid-range to high-end 3D design and creative workflows with NVIDIA RTX\u00ae Virtual Workstation (vWS). Upgrade path for Quadro RTX\u2122 8000, RTX 6000.<\/td>\nEntry to mid-range virtual workstations for design and engineering with NVIDIA vWS. Also run graphics-rich virtual desktops with vPC and deep learning inferencing with vCS. Upgrade path for T4, RTX 6000.<\/td>\nOffice productivity applications, streaming video and teleconferencing tools for graphics-rich virtual desktops accessible from anywhere. Upgrade path for M10.<\/td>\n<\/tr>\n
vGPU Software Support<\/td>\nNVIDIA Virtual Compute Server (vCS)<\/td>\nNVIDIA vCS<\/td>\nNVIDIA RTX vWS, NVIDIA Virtual PC (vPC), NVIDIA Virtual Apps (vApps), vCS<\/td>\nNVIDIA RTX vWS, vPC, vApps, vCS<\/td>\nNVIDIA RTX vWS, vPC, vApps, vCS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u2192 <\/strong>Mua license s\u1eed d\u1ee5ng ph\u1ea7n m\u1ec1m NVIDIA Virtual Compute Server (vCS).<\/a><\/strong><\/p>\n

\n

Xem th\u00eam th\u00f4ng tin s\u1ea3n ph\u1ea9m:<\/p>\n

\u2192 Card GPU NVIDIA A100 PCIe<\/a>
\n\u2192 Card GPU NVIDIA A30<\/a>
\n\u2192 Card GPU NVIDIA A10<\/a>
\n\u2192 Card GPU NVIDIA A40<\/a>
\n\u2192 Card GPU NVIDIA A16<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

C\u00e1c m\u00e1y x\u1eed l\u00fd (Compute) \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c, v\u00e0 \u0111\u01b0\u1ee3c \u1ea3o ho\u00e1 Quy tr\u00ecnh l\u00e0m vi\u1ec7c c\u1ee7a AI, Deep learning v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u \u0111\u00f2i h\u1ecfi ph\u1ea3i c\u00f3 s\u1ee9c m\u1ea1nh x\u1eed l\u00fd ch\u01b0a t\u1eebng c\u00f3. NVIDIA Virtual Compute Server (vCS) cho ph\u00e9p c\u00e1c trung t\u00e2m d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c v\u00e0 \u1ea3o h\u00f3a v\u1edbi<\/p>\n","protected":false},"author":10,"featured_media":3226,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,59],"tags":[38,28,22,157],"class_list":["post-3223","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-infra","category-nvidia","tag-deep-learning","tag-gpu","tag-nvidia","tag-vcomputeserver"],"yoast_head":"\nNVIDIA Virtual Compute Server: Cung c\u1ea5p s\u1ee9c m\u1ea1nh x\u1eed l\u00fd t\u0103ng t\u1ed1c linh ho\u1ea1t cho c\u00e1c workload - Gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng CNTT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/thegioimaychu.vn\/solution\/vendor\/nvidia\/nvidia-virtual-compute-server-cung-cap-suc-manh-xu-ly-tang-toc-linh-hoat-cho-cac-workload-p3223\/\" \/>\n<meta property=\"og:locale\" content=\"vi_VN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA Virtual Compute Server: Cung c\u1ea5p s\u1ee9c m\u1ea1nh x\u1eed l\u00fd t\u0103ng t\u1ed1c linh ho\u1ea1t cho c\u00e1c workload - Gi\u1ea3i ph\u00e1p h\u1ea1 t\u1ea7ng CNTT\" \/>\n<meta property=\"og:description\" content=\"C\u00e1c m\u00e1y x\u1eed l\u00fd (Compute) \u0111\u01b0\u1ee3c t\u0103ng t\u1ed1c, v\u00e0 \u0111\u01b0\u1ee3c \u1ea3o ho\u00e1 Quy tr\u00ecnh l\u00e0m vi\u1ec7c c\u1ee7a AI, Deep learning v\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u \u0111\u00f2i h\u1ecfi ph\u1ea3i c\u00f3 s\u1ee9c m\u1ea1nh x\u1eed l\u00fd ch\u01b0a t\u1eebng c\u00f3. 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