{"id":8539,"date":"2026-04-14T14:27:35","date_gmt":"2026-04-14T11:27:35","guid":{"rendered":"https:\/\/unihost.com\/blog\/?p=8539"},"modified":"2026-04-14T14:30:06","modified_gmt":"2026-04-14T11:30:06","slug":"best-dedicated-server-for-ai-projects-in-2026","status":"publish","type":"post","link":"https:\/\/unihost.com\/blog\/ru\/best-dedicated-server-for-ai-projects-in-2026\/","title":{"rendered":"\u041b\u0443\u0447\u0448\u0438\u0439 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f AI-\u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u0432 2026 \u0433\u043e\u0434\u0443"},"content":{"rendered":"

\u0412\u044b\u0431\u043e\u0440 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0434\u043b\u044f AI \u0432 2026 \u0433\u043e\u0434\u0443 – \u044d\u0442\u043e \u043d\u0435 \u043f\u0440\u043e “\u0432\u0437\u044f\u0442\u044c \u043f\u043e\u043c\u043e\u0449\u043d\u0435\u0435”. \u042d\u0442\u043e \u043f\u0440\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0435 \u0436\u0435\u043b\u0435\u0437\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0435: \u043e\u0431\u0443\u0447\u0430\u0435\u0442\u0435 \u043b\u0438 \u0432\u044b \u043c\u043e\u0434\u0435\u043b\u044c \u0441 \u043d\u0443\u043b\u044f, \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u0442\u0435 \u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0438\u043b\u0438 \u0441\u0442\u0440\u043e\u0438\u0442\u0435 RAG-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d. \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u0430\u044f \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f \u043d\u0430 \u044d\u0442\u043e\u043c \u0443\u0440\u043e\u0432\u043d\u0435 \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u043b\u0438\u0431\u043e \u043f\u0435\u0440\u0435\u043f\u043b\u0430\u0442\u0443 \u0437\u0430 \u0440\u0435\u0441\u0443\u0440\u0441\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0435, \u043b\u0438\u0431\u043e \u0443\u0437\u043a\u043e\u0435 \u043c\u0435\u0441\u0442\u043e, \u043d\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0435 \u0440\u0430\u0441\u043a\u0440\u044b\u0442\u044c GPU.<\/span><\/p>\n

 <\/p>\n

\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a AI-\u0441\u0435\u0440\u0432\u0435\u0440\u0430\u043c<\/b><\/h2>\n

\u041f\u0440\u0435\u0436\u0434\u0435 \u0447\u0435\u043c \u0432\u044b\u0431\u0438\u0440\u0430\u0442\u044c \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044e, \u043d\u0443\u0436\u043d\u043e \u043f\u043e\u043d\u044f\u0442\u044c, \u0447\u0442\u043e \u0438\u043c\u0435\u043d\u043d\u043e \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0438\u0432\u0430\u044e\u0449\u0438\u043c \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u043c \u0434\u043b\u044f \u0432\u0430\u0448\u0435\u0433\u043e \u0442\u0438\u043f\u0430 \u0437\u0430\u0434\u0430\u0447.<\/span><\/p>\n

GPU – \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0440\u0435\u0441\u0443\u0440\u0441. \u0414\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043a\u0440\u0438\u0442\u0438\u0447\u0435\u043d \u043e\u0431\u044a\u0451\u043c VRAM: GPT-\u043a\u043b\u0430\u0441\u0441\u0430 7B \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043c\u0438\u043d\u0438\u043c\u0443\u043c 16 \u0413\u0411, 70B – \u043e\u0442 140 \u0413\u0411 \u0432 FP16. \u0414\u043b\u044f \u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441\u0430 \u043c\u043e\u0436\u043d\u043e \u0441\u043d\u0438\u0437\u0438\u0442\u044c \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u0447\u0435\u0440\u0435\u0437 \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u0430\u0446\u0438\u044e (INT8, INT4), \u043d\u043e \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u043f\u043e\u043a\u043e\u043b\u0435\u043d\u0438\u044f GPU.<\/span><\/p>\n

RAM \u0441\u0438\u0441\u0442\u0435\u043c\u044b – \u0434\u043e\u043b\u0436\u043d\u0430 \u0431\u044b\u0442\u044c \u043a\u0430\u043a \u043c\u0438\u043d\u0438\u043c\u0443\u043c \u0440\u0430\u0432\u043d\u0430 \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e\u043c\u0443 VRAM. \u041d\u0430 8xH100 (640 \u0413\u0411 VRAM) \u043d\u0443\u0436\u043d\u043e 512+ \u0413\u0411 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438 \u0434\u043b\u044f \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0438\u043d\u0433\u0430 \u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0431\u0430\u0442\u0447\u0430\u043c\u0438.<\/span><\/p>\n

\u0425\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 – \u043d\u0435\u0434\u043e\u043e\u0446\u0435\u043d\u0451\u043d\u043d\u044b\u0439 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440. \u0414\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043d\u0430 \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430\u0445 (ImageNet, The Pile) \u043d\u0443\u0436\u043d\u0430 \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u0447\u0442\u0435\u043d\u0438\u044f 10+ \u0413\u0411\/\u0441. NVMe RAID – \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0435; \u043e\u0434\u0438\u043d\u043e\u0447\u043d\u044b\u0439 NVMe \u0441\u043e\u0437\u0434\u0430\u0441\u0442 \u0443\u0437\u043a\u043e\u0435 \u043c\u0435\u0441\u0442\u043e \u0434\u0430\u0436\u0435 \u043d\u0430 \u043c\u043e\u0449\u043d\u043e\u043c GPU-\u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0435.<\/span><\/p>\n

\u0421\u0435\u0442\u044c – \u0434\u043b\u044f multi-node \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f: InfiniBand \u043e\u0442 200 \u0413\u0431\u0438\u0442\/\u0441 \u0438\u043b\u0438 \u043c\u0438\u043d\u0438\u043c\u0443\u043c 2×25 GbE \u0434\u043b\u044f \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u043e\u0432. \u0414\u043b\u044f \u043e\u0434\u0438\u043d\u043e\u0447\u043d\u043e\u0433\u043e \u0443\u0437\u043b\u0430 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e 1 GbE \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0438 10+ GbE \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u0434\u0430\u043d\u043d\u044b\u0445.<\/span><\/p>\n

CPU – \u0432\u0442\u043e\u0440\u043e\u0441\u0442\u0435\u043f\u0435\u043d\u043d\u044b\u0439 \u0440\u0435\u0441\u0443\u0440\u0441, \u043d\u043e \u0432\u0430\u0436\u043d\u044b\u0439. AMD EPYC \u0438\u043b\u0438 Intel Xeon \u0441 \u0447\u0438\u0441\u043b\u043e\u043c \u044f\u0434\u0435\u0440 32+ \u0434\u043b\u044f \u043f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0438\u043d\u0433\u0430. \u0423\u0437\u043a\u043e\u0435 \u043c\u0435\u0441\u0442\u043e \u043f\u043e CPU \u043d\u0438\u0432\u0435\u043b\u0438\u0440\u0443\u0435\u0442 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430 \u0442\u043e\u043f\u043e\u0432\u044b\u0445 GPU.<\/span><\/p>\n

 <\/p>\n

\u041b\u0443\u0447\u0448\u0438\u0435 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u0438<\/b><\/h2>\n

\u041d\u0438\u0436\u0435 – \u0447\u0435\u0442\u044b\u0440\u0435 \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u0438 \u043f\u043e\u0434 \u0440\u0430\u0437\u043d\u044b\u0435 \u0442\u0438\u043f\u044b AI-\u043d\u0430\u0433\u0440\u0443\u0437\u043e\u043a. \u041d\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u043e\u0439 “\u043b\u0443\u0447\u0448\u0435\u0439” – \u0435\u0441\u0442\u044c \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0434\u043b\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u0437\u0430\u0434\u0430\u0447\u0438.<\/span><\/p>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f 1 – \u0418\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0430<\/b><\/h3>\n\n\n\n\n\n\n\n\n\n
\u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442<\/b><\/td>\n\u0421\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n2x NVIDIA RTX 4090 (48 \u0413\u0411 VRAM \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
CPU<\/span><\/td>\nAMD EPYC 7443 (24 \u044f\u0434\u0440\u0430)<\/span><\/td>\n<\/tr>\n
RAM<\/span><\/td>\n256 \u0413\u0411 DDR5<\/span><\/td>\n<\/tr>\n
\u0425\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435<\/span><\/td>\n2x 3.84 \u0422\u0411 NVMe U.2<\/span><\/td>\n<\/tr>\n
\u0421\u0435\u0442\u044c<\/span><\/td>\n2x 25 GbE<\/span><\/td>\n<\/tr>\n
\u041f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f<\/span><\/td>\n\u041c\u043e\u0434\u0435\u043b\u0438 \u0434\u043e 30B \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 (INT8), RAG, embeddings<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f 2 – \u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u0438 \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0438\u043d\u0433<\/b><\/h3>\n\n\n\n\n\n\n\n\n\n\n
\u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442<\/b><\/td>\n\u0421\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n4x NVIDIA A100 80GB (320 \u0413\u0411 VRAM \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
CPU<\/span><\/td>\n2x AMD EPYC 7763 (128 \u044f\u0434\u0435\u0440 \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
RAM<\/span><\/td>\n1 \u0422\u0411 DDR4 ECC<\/span><\/td>\n<\/tr>\n
\u0425\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435<\/span><\/td>\n4x 3.84 \u0422\u0411 NVMe RAID-0<\/span><\/td>\n<\/tr>\n
\u0418\u043d\u0442\u0435\u0440\u043a\u043e\u043d\u043d\u0435\u043a\u0442<\/span><\/td>\nNVLink \u043c\u0435\u0436\u0434\u0443 GPU<\/span><\/td>\n<\/tr>\n
\u0421\u0435\u0442\u044c<\/span><\/td>\nInfiniBand HDR 200 \u0413\u0431\u0438\u0442\/\u0441<\/span><\/td>\n<\/tr>\n
\u041f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f<\/span><\/td>\n\u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 7B-30B, \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0438\u043d\u0433 \u0434\u043e 70B \u0441 LoRA<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f 3 – \u041a\u0440\u0443\u043f\u043d\u043e\u043c\u0430\u0441\u0448\u0442\u0430\u0431\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 (2026)<\/b><\/h3>\n\n\n\n\n\n\n\n\n\n\n
\u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442<\/b><\/td>\n\u0421\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n8x NVIDIA H200 (1.1 \u0422\u0411 VRAM \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
CPU<\/span><\/td>\n2x AMD EPYC 9654 (192 \u044f\u0434\u0440\u0430 \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
RAM<\/span><\/td>\n2 \u0422\u0411 DDR5 ECC<\/span><\/td>\n<\/tr>\n
\u0425\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435<\/span><\/td>\n8x 7.68 \u0422\u0411 NVMe U.2 RAID<\/span><\/td>\n<\/tr>\n
\u0418\u043d\u0442\u0435\u0440\u043a\u043e\u043d\u043d\u0435\u043a\u0442<\/span><\/td>\nNVLink 4.0<\/span><\/td>\n<\/tr>\n
\u0421\u0435\u0442\u044c<\/span><\/td>\n2x InfiniBand NDR 400 \u0413\u0431\u0438\u0442\/\u0441<\/span><\/td>\n<\/tr>\n
\u041f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f<\/span><\/td>\n\u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 70B+, foundation models, \u043c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f 4 – \u0411\u044e\u0434\u0436\u0435\u0442\u043d\u044b\u0439 \u0441\u0442\u0430\u0440\u0442 \u0434\u043b\u044f AI<\/b><\/h3>\n\n\n\n\n\n\n\n\n\n
\u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442<\/b><\/td>\n\u0421\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n1x NVIDIA RTX 3090 (24 \u0413\u0411 VRAM)<\/span><\/td>\n<\/tr>\n
CPU<\/span><\/td>\nAMD EPYC 7302 (16 \u044f\u0434\u0435\u0440)<\/span><\/td>\n<\/tr>\n
RAM<\/span><\/td>\n128 \u0413\u0411 DDR4<\/span><\/td>\n<\/tr>\n
\u0425\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435<\/span><\/td>\n2x 1.92 \u0422\u0411 NVMe<\/span><\/td>\n<\/tr>\n
\u0421\u0435\u0442\u044c<\/span><\/td>\n1x 10 GbE<\/span><\/td>\n<\/tr>\n
\u041f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f<\/span><\/td>\n\u041f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435, \u043c\u043e\u0434\u0435\u043b\u0438 \u0434\u043e 13B (INT4), embeddings<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u0410\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u0438 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u043e\u0432: <\/span>dedicated servers Unihost<\/span><\/a>.<\/span><\/p>\n

 <\/p>\n

GPU vs CPU \u0441\u0435\u0440\u0432\u0435\u0440\u044b<\/b><\/h2>\n\n\n\n\n\n\n\n\n\n\n
\u041f\u0430\u0440\u0430\u043c\u0435\u0442\u0440<\/b><\/td>\nCPU-\u0441\u0435\u0440\u0432\u0435\u0440<\/b><\/td>\nGPU-\u0441\u0435\u0440\u0432\u0435\u0440<\/b><\/td>\n<\/tr>\n
\u041f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u0438\u0437\u043c<\/span><\/td>\n\u041e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u043d\u044b\u0439 (\u0441\u043e\u0442\u043d\u0438 \u043f\u043e\u0442\u043e\u043a\u043e\u0432)<\/span><\/td>\n\u041c\u0430\u0441\u0441\u0438\u0432\u043d\u044b\u0439 (\u0442\u044b\u0441\u044f\u0447\u0438 CUDA-\u044f\u0434\u0435\u0440)<\/span><\/td>\n<\/tr>\n
\u041c\u0430\u0442\u0440\u0438\u0447\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438<\/span><\/td>\n\u041c\u0435\u0434\u043b\u0435\u043d\u043d\u043e<\/span><\/td>\n\u0411\u044b\u0441\u0442\u0440\u043e (10-100x)<\/span><\/td>\n<\/tr>\n
\u0421\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c<\/span><\/td>\n\u041d\u0438\u0436\u0435<\/span><\/td>\n\u0412\u044b\u0448\u0435<\/span><\/td>\n<\/tr>\n
\u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0439<\/span><\/td>\n\u041d\u0435\u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e \u0434\u043b\u044f \u043a\u0440\u0443\u043f\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439<\/span><\/td>\n\u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442<\/span><\/td>\n<\/tr>\n
\u0418\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u043c\u0430\u043b\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439<\/span><\/td>\n\u041f\u0440\u0438\u0435\u043c\u043b\u0435\u043c\u043e<\/span><\/td>\n\u0418\u0437\u0431\u044b\u0442\u043e\u0447\u043d\u043e<\/span><\/td>\n<\/tr>\n
\u041f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0438\u043d\u0433 \u0434\u0430\u043d\u043d\u044b\u0445<\/span><\/td>\n\u042d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e<\/span><\/td>\n\u041b\u0438\u0448\u043d\u0438\u0435 \u0440\u0430\u0441\u0445\u043e\u0434\u044b<\/span><\/td>\n<\/tr>\n
MLOps-\u043e\u0440\u043a\u0435\u0441\u0442\u0440\u0430\u0446\u0438\u044f<\/span><\/td>\n\u0414\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e<\/span><\/td>\n\u041b\u0438\u0448\u043d\u0438\u0435 \u0440\u0430\u0441\u0445\u043e\u0434\u044b<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u0435: GPU-\u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439 \u043c\u043e\u0434\u0435\u043b\u0438, CPU (\u0438\u043b\u0438 VPS) \u0434\u043b\u044f \u043e\u0440\u043a\u0435\u0441\u0442\u0440\u0430\u0446\u0438\u0438, API-\u0441\u043b\u043e\u044f, \u043f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0438\u043d\u0433\u0430 \u0438 \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430. \u0421\u043c\u0435\u0448\u0438\u0432\u0430\u0442\u044c \u0432\u0441\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u0435 – \u0434\u043e\u0440\u043e\u0433\u043e \u0438 \u043d\u0435\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e.<\/span><\/p>\n

 <\/p>\n

\u0421\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u044c vs \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c<\/b><\/h2>\n\n\n\n\n\n\n\n\n
\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f<\/b><\/td>\n\u041e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u043e\u0447\u043d\u0430\u044f \u0446\u0435\u043d\u0430\/\u043c\u0435\u0441<\/b><\/td>\n\u041e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0434\u043b\u044f<\/b><\/td>\n<\/tr>\n
1x RTX 3090 (24 \u0413\u0411)<\/span><\/td>\n$300-500<\/span><\/td>\n\u041f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435, \u043c\u0430\u043b\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438<\/span><\/td>\n<\/tr>\n
2x RTX 4090 (48 \u0413\u0411)<\/span><\/td>\n$800-1200<\/span><\/td>\n\u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441, RAG<\/span><\/td>\n<\/tr>\n
4x A100 80GB (320 \u0413\u0411)<\/span><\/td>\n$4000-7000<\/span><\/td>\n\u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 7B-30B<\/span><\/td>\n<\/tr>\n
8x H100 80GB (640 \u0413\u0411)<\/span><\/td>\n$12000-20000<\/span><\/td>\n\u041a\u0440\u0443\u043f\u043d\u043e\u043c\u0430\u0441\u0448\u0442\u0430\u0431\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435<\/span><\/td>\n<\/tr>\n
8x H200 141GB (1.1 \u0422\u0411)<\/span><\/td>\n$20000-35000<\/span><\/td>\nFoundation models, 70B+<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Bare-metal \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u0432\u044b\u0433\u043e\u0434\u043d\u0435\u0435 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0445 GPU-\u0438\u043d\u0441\u0442\u0430\u043d\u0441\u043e\u0432 \u043f\u0440\u0438 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0435 \u0441\u0432\u044b\u0448\u0435 60-70% \u043c\u0435\u0441\u044f\u0446\u0430. \u0414\u043b\u044f \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438\u043b\u0438 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d \u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441\u0430 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u043e\u043a\u0443\u043f\u0430\u0435\u0442\u0441\u044f \u0437\u0430 3-6 \u043c\u0435\u0441\u044f\u0446\u0435\u0432 \u043f\u043e \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e \u0441 on-demand \u043e\u0431\u043b\u0430\u043a\u043e\u043c.<\/span><\/p>\n

 <\/p>\n

\u0421\u0446\u0435\u043d\u0430\u0440\u0438\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f<\/b><\/h2>\n

LLM-\u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0432 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d\u0435 – \u043d\u0443\u0436\u043d\u0430 \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u0430\u044f \u043b\u0430\u0442\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u044c \u0438 \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0443\u0435\u043c\u044b\u0439 throughput. \u0412\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 bare-metal GPU-\u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u0430\u0451\u0442 \u0438\u0437\u043e\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b \u0431\u0435\u0437 “\u0448\u0443\u043c\u043d\u044b\u0445 \u0441\u043e\u0441\u0435\u0434\u0435\u0439” \u043e\u0431\u043b\u0430\u0447\u043d\u043e\u0439 \u0441\u0440\u0435\u0434\u044b. \u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f \u043d\u0430 \u0431\u0430\u0437\u0435 2-4x A100 \u0438\u043b\u0438 H100 \u0437\u0430\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d-\u0437\u0430\u0434\u0430\u0447.<\/span><\/p>\n

\u0424\u0430\u0439\u043d-\u0442\u044e\u043d\u0438\u043d\u0433 \u0438 LoRA – \u0435\u0441\u043b\u0438 \u043e\u0431\u0443\u0447\u0430\u0435\u0442\u0435 \u043d\u0435 \u0441 \u043d\u0443\u043b\u044f, \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a VRAM \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043d\u0438\u0436\u0435. \u041d\u0430 4x RTX 4090 \u0440\u0435\u0430\u043b\u044c\u043d\u043e \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0438\u0442\u044c \u043c\u043e\u0434\u0435\u043b\u0438 \u0434\u043e 70B \u0447\u0435\u0440\u0435\u0437 QLoRA. \u0412\u0440\u0435\u043c\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f – \u043e\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u0445 \u0447\u0430\u0441\u043e\u0432 \u0434\u043e \u0441\u0443\u0442\u043e\u043a \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0430.<\/span><\/p>\n

RAG \u0438 embedding-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u044b – \u0443\u043c\u0435\u0440\u0435\u043d\u043d\u044b\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a GPU, \u043d\u043e \u0432\u0430\u0436\u043d\u0430 \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0430 \u0434\u043b\u044f \u0432\u0435\u043a\u0442\u043e\u0440\u043d\u044b\u0445 \u0431\u0430\u0437. \u041e\u0434\u0438\u043d\u043e\u0447\u043d\u044b\u0439 GPU \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u043a\u043b\u0430\u0441\u0441\u0430 + \u0431\u044b\u0441\u0442\u0440\u044b\u0439 NVMe – \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0431\u0430\u043b\u0430\u043d\u0441.<\/span><\/p>\n

\u041a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0435 \u0437\u0440\u0435\u043d\u0438\u0435 \u0438 \u043c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 – \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u044b \u043a VRAM \u0438\u0437-\u0437\u0430 \u0440\u0430\u0437\u043c\u0435\u0440\u0430 \u0431\u0430\u0442\u0447\u0435\u0439 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. H200 \u0441 141 \u0413\u0411 HBM3e \u0438\u043b\u0438 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e A100 \u0432 NVLink-\u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u0438.<\/span><\/p>\n

\u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0435 \u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u044b\u0435 \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0438 – \u0437\u0430\u0447\u0430\u0441\u0442\u0443\u044e \u0432\u044b\u0433\u043e\u0434\u043d\u0435\u0435 \u0430\u0440\u0435\u043d\u0434\u043e\u0432\u0430\u0442\u044c \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0430 \u043c\u0435\u0441\u044f\u0446, \u0447\u0435\u043c \u043f\u043b\u0430\u0442\u0438\u0442\u044c on-demand \u0446\u0435\u043d\u044b \u0437\u0430 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0435 GPU \u0432 \u043f\u0435\u0440\u0438\u043e\u0434 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0439 \u0444\u0430\u0437\u044b \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/span><\/p>\n

\u0414\u043b\u044f AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u043f\u043e\u0434 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0435 \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0438: <\/span>AI hosting Unihost<\/span><\/a>.<\/span><\/p>\n

 <\/p>\n

\u0427\u0430\u0441\u0442\u044b\u0435 \u0432\u043e\u043f\u0440\u043e\u0441\u044b<\/b><\/h2>\n

\u041a\u0430\u043a\u043e\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u043b\u0443\u0447\u0448\u0438\u0439 \u0434\u043b\u044f AI?<\/b><\/h3>\n

\u041d\u0435\u0442 \u0435\u0434\u0438\u043d\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u043e\u0442\u0432\u0435\u0442\u0430. \u0414\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 – \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0441 4-8x A100\/H100 \u0438 NVLink. \u0414\u043b\u044f \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d \u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441\u0430 – 2-4x GPU \u0441 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u044b\u043c VRAM \u0434\u043b\u044f \u0432\u0430\u0448\u0435\u0439 \u043c\u043e\u0434\u0435\u043b\u0438. \u0414\u043b\u044f \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f – RTX 4090 \u0438\u043b\u0438 \u0434\u0430\u0436\u0435 CPU-\u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f \u043c\u0430\u043b\u044b\u0445 \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439. \u041e\u0442\u043f\u0440\u0430\u0432\u043d\u0430\u044f \u0442\u043e\u0447\u043a\u0430 – \u0440\u0430\u0437\u043c\u0435\u0440 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438 \u0446\u0435\u043b\u0435\u0432\u0430\u044f \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0430.<\/span><\/p>\n

\u041d\u0443\u0436\u043d\u044b \u043b\u0438 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u044b \u0434\u043b\u044f AI-\u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432?<\/b><\/h3>\n

\u0417\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u0437\u0430\u0434\u0430\u0447\u0438. \u041e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u0438 \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0438\u043d\u0433 \u0431\u0435\u0437 GPU \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043d\u0435\u0440\u0435\u0430\u043b\u044c\u043d\u044b \u0434\u043b\u044f \u0441\u0435\u0440\u044c\u0451\u0437\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439. \u0418\u043d\u0444\u0435\u0440\u0435\u043d\u0441 – \u0432\u043e\u0437\u043c\u043e\u0436\u0435\u043d \u043d\u0430 CPU \u0434\u043b\u044f \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0434\u043e 7B, \u043d\u043e \u0432 10-50 \u0440\u0430\u0437 \u043c\u0435\u0434\u043b\u0435\u043d\u043d\u0435\u0435. \u041f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0438\u043d\u0433, \u043e\u0440\u043a\u0435\u0441\u0442\u0440\u0430\u0446\u0438\u044f \u0438 API-\u0441\u043b\u043e\u0439 – CPU \u0432\u043f\u043e\u043b\u043d\u0435 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e, GPU \u0437\u0434\u0435\u0441\u044c \u0438\u0437\u0431\u044b\u0442\u043e\u0447\u0435\u043d.<\/span><\/p>\n

\u0421\u043a\u043e\u043b\u044c\u043a\u043e RAM \u043d\u0443\u0436\u043d\u043e \u0434\u043b\u044f AI-\u0441\u0435\u0440\u0432\u0435\u0440\u0430?<\/b><\/h3>\n

\u0421\u0438\u0441\u0442\u0435\u043c\u043d\u0430\u044f RAM \u0434\u043e\u043b\u0436\u043d\u0430 \u0431\u044b\u0442\u044c \u043c\u0438\u043d\u0438\u043c\u0443\u043c \u0440\u0430\u0432\u043d\u0430 \u0441\u0443\u043c\u043c\u0430\u0440\u043d\u043e\u043c\u0443 VRAM. \u0414\u043b\u044f \u0441\u0435\u0440\u0432\u0435\u0440\u0430 8xH100 (640 \u0413\u0411 VRAM) – \u043c\u0438\u043d\u0438\u043c\u0443\u043c 512 \u0413\u0411 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0439 RAM, \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u043e 1-2 \u0422\u0411. \u0414\u043b\u044f \u043e\u0434\u0438\u043d\u043e\u0447\u043d\u043e\u0433\u043e GPU – RAM x2 \u043e\u0442 VRAM. \u041d\u0435\u0445\u0432\u0430\u0442\u043a\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438 \u0441\u043e\u0437\u0434\u0430\u0451\u0442 \u0443\u0437\u043a\u043e\u0435 \u043c\u0435\u0441\u0442\u043e \u043f\u0440\u0438 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u043a\u0435\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0430\u043a\u0442\u0438\u0432\u0430\u0446\u0438\u0439.<\/span><\/p>\n

\u0412\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 vs \u043e\u0431\u043b\u0430\u043a\u043e \u0434\u043b\u044f AI?<\/b><\/h3>\n

\u041e\u0431\u043b\u0430\u043a\u043e \u0432\u044b\u0438\u0433\u0440\u044b\u0432\u0430\u0435\u0442 \u043f\u0440\u0438 \u043d\u0438\u0437\u043a\u043e\u0439 \u0438\u043b\u0438 \u043d\u0435\u0440\u0430\u0432\u043d\u043e\u043c\u0435\u0440\u043d\u043e\u0439 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0435 (\u043c\u0435\u043d\u0435\u0435 50-60% \u0432\u0440\u0435\u043c\u0435\u043d\u0438), \u043f\u0440\u0438 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u0438 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0437\u0430 \u043c\u0438\u043d\u0443\u0442\u044b, \u0438\u043b\u0438 \u0434\u043b\u044f \u0440\u0430\u0437\u043e\u0432\u044b\u0445 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u043e\u0432. \u0412\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0432\u044b\u0438\u0433\u0440\u044b\u0432\u0430\u0435\u0442 \u043f\u0440\u0438 \u0441\u0442\u0430\u0431\u0438\u043b\u044c\u043d\u043e\u0439 \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0435 24\/7, \u043f\u0440\u0438 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f\u0445 \u043a \u0438\u0437\u043e\u043b\u044f\u0446\u0438\u0438 \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0432, \u0438\u043b\u0438 \u043a\u043e\u0433\u0434\u0430 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0439 on-demand \u0441\u0442\u043e\u0438\u0442 \u0432 3-5 \u0440\u0430\u0437 \u0434\u043e\u0440\u043e\u0436\u0435 \u0432 \u043c\u0435\u0441\u044f\u0446.<\/span><\/p>\n

 <\/p>\n

\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0448\u0430\u0433<\/b><\/h2>\n

\u0415\u0441\u043b\u0438 \u0432\u044b \u0437\u043d\u0430\u0435\u0442\u0435 \u0440\u0430\u0437\u043c\u0435\u0440 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u0443\u044e \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0443 – \u0443\u0436\u0435 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u0434\u0431\u0438\u0440\u0430\u0442\u044c \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044e. \u041f\u043e\u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b: <\/span>\u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u044b Unihost<\/span><\/a> \u0438\u043b\u0438 \u0443\u0442\u043e\u0447\u043d\u0438\u0442\u0435 \u043f\u043e\u0434 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0443\u044e AI-\u0437\u0430\u0434\u0430\u0447\u0443 \u0447\u0435\u0440\u0435\u0437\u00a0<\/span>AI hosting<\/span><\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

\u0412\u044b\u0431\u043e\u0440 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0434\u043b\u044f AI \u0432 2026 \u0433\u043e\u0434\u0443 – \u044d\u0442\u043e \u043d\u0435 \u043f\u0440\u043e “\u0432\u0437\u044f\u0442\u044c \u043f\u043e\u043c\u043e\u0449\u043d\u0435\u0435”. \u042d\u0442\u043e \u043f\u0440\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0438\u0435 \u0436\u0435\u043b\u0435\u0437\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0435: \u043e\u0431\u0443\u0447\u0430\u0435\u0442\u0435 \u043b\u0438 \u0432\u044b \u043c\u043e\u0434\u0435\u043b\u044c \u0441 \u043d\u0443\u043b\u044f, \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u0442\u0435 \u0438\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0438\u043b\u0438 \u0441\u0442\u0440\u043e\u0438\u0442\u0435 RAG-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d. \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u0430\u044f \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f \u043d\u0430 \u044d\u0442\u043e\u043c \u0443\u0440\u043e\u0432\u043d\u0435 \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u043b\u0438\u0431\u043e \u043f\u0435\u0440\u0435\u043f\u043b\u0430\u0442\u0443 \u0437\u0430 \u0440\u0435\u0441\u0443\u0440\u0441\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0435, \u043b\u0438\u0431\u043e \u0443\u0437\u043a\u043e\u0435 \u043c\u0435\u0441\u0442\u043e, \u043d\u0435 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0435 \u0440\u0430\u0441\u043a\u0440\u044b\u0442\u044c GPU.   \u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a AI-\u0441\u0435\u0440\u0432\u0435\u0440\u0430\u043c […]<\/p>\n","protected":false},"author":7,"featured_media":6788,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[],"class_list":["post-8539","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"yoast_head":"\n\u041b\u0443\u0447\u0448\u0438\u0439 \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f AI-\u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 \u0432 2026 \u0433\u043e\u0434\u0443 - Unihost.com Blog<\/title>\n<meta name=\"description\" content=\"Compare the best dedicated GPU server configurations for AI in 2026. 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