{"id":8533,"date":"2026-04-14T14:22:39","date_gmt":"2026-04-14T11:22:39","guid":{"rendered":"https:\/\/unihost.com\/blog\/?p=8533"},"modified":"2026-04-14T14:30:18","modified_gmt":"2026-04-14T11:30:18","slug":"%d0%bd%d0%b0%d0%b9%d0%ba%d1%80%d0%b0%d1%89%d0%b8%d0%b9-%d0%b2%d0%b8%d0%b4%d1%96%d0%bb%d0%b5%d0%bd%d0%b8%d0%b9-%d1%81%d0%b5%d1%80%d0%b2%d0%b5%d1%80-%d0%b4%d0%bb%d1%8f-ai-%d0%bf%d1%80%d0%be%d1%94%d0%ba","status":"publish","type":"post","link":"https:\/\/unihost.com\/blog\/uk\/%d0%bd%d0%b0%d0%b9%d0%ba%d1%80%d0%b0%d1%89%d0%b8%d0%b9-%d0%b2%d0%b8%d0%b4%d1%96%d0%bb%d0%b5%d0%bd%d0%b8%d0%b9-%d1%81%d0%b5%d1%80%d0%b2%d0%b5%d1%80-%d0%b4%d0%bb%d1%8f-ai-%d0%bf%d1%80%d0%be%d1%94%d0%ba\/","title":{"rendered":"\u041d\u0430\u0439\u043a\u0440\u0430\u0449\u0438\u0439 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f AI-\u043f\u0440\u043e\u0454\u043a\u0442\u0456\u0432 \u0443 2026 \u0440\u043e\u0446\u0456"},"content":{"rendered":"

\u0412\u0438\u0431\u0456\u0440 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0434\u043b\u044f AI \u0443 2026 \u0440\u043e\u0446\u0456 – \u0446\u0435 \u043d\u0435 \u043f\u0440\u043e “\u0432\u0437\u044f\u0442\u0438 \u043f\u043e\u0442\u0443\u0436\u043d\u0456\u0448\u0435”. \u0426\u0435 \u043f\u0440\u043e \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u0456\u0441\u0442\u044c \u0437\u0430\u043b\u0456\u0437\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u043c\u0443 \u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u044e: \u0442\u0440\u0435\u043d\u0443\u0454\u0442\u0435 \u0432\u0438 \u043c\u043e\u0434\u0435\u043b\u044c \u0437 \u043d\u0443\u043b\u044f, \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0454\u0442\u0435 \u0456\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0430\u0431\u043e \u0431\u0443\u0434\u0443\u0454\u0442\u0435 RAG-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d. \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u0430 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f \u043d\u0430 \u0446\u044c\u043e\u043c\u0443 \u0440\u0456\u0432\u043d\u0456 \u043e\u0437\u043d\u0430\u0447\u0430\u0454 \u0430\u0431\u043e \u043f\u0435\u0440\u0435\u043f\u043b\u0430\u0442\u0443 \u0437\u0430 \u0440\u0435\u0441\u0443\u0440\u0441\u0438, \u044f\u043a\u0438\u0445 \u043d\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454\u0442\u0435, \u0430\u0431\u043e \u0432\u0443\u0437\u044c\u043a\u0435 \u043c\u0456\u0441\u0446\u0435, \u044f\u043a\u0435 \u043d\u0435 \u0434\u0430\u0454 \u0440\u043e\u0437\u043a\u0440\u0438\u0442\u0438 GPU.<\/span><\/p>\n

 <\/p>\n

\u0412\u0438\u043c\u043e\u0433\u0438 \u0434\u043e AI-\u0441\u0435\u0440\u0432\u0435\u0440\u0456\u0432<\/b><\/h2>\n

\u041f\u0435\u0440\u0448 \u043d\u0456\u0436 \u0432\u0438\u0431\u0438\u0440\u0430\u0442\u0438 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044e, \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0440\u043e\u0437\u0443\u043c\u0456\u0442\u0438, \u0449\u043e \u0441\u0430\u043c\u0435 \u0454 \u043e\u0431\u043c\u0435\u0436\u0443\u044e\u0447\u0438\u043c \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u043c \u0434\u043b\u044f \u0432\u0430\u0448\u043e\u0433\u043e \u0442\u0438\u043f\u0443 \u0437\u0430\u0432\u0434\u0430\u043d\u044c.<\/span><\/p>\n

GPU – \u043e\u0441\u043d\u043e\u0432\u043d\u0438\u0439 \u0440\u0435\u0441\u0443\u0440\u0441. \u0414\u043b\u044f \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0432\u0435\u043b\u0438\u043a\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043a\u0440\u0438\u0442\u0438\u0447\u043d\u0438\u0439 \u043e\u0431\u0441\u044f\u0433 VRAM: GPT-\u043a\u043b\u0430\u0441\u0443 7B \u043f\u043e\u0442\u0440\u0435\u0431\u0443\u0454 \u043c\u0456\u043d\u0456\u043c\u0443\u043c 16 \u0413\u0411, 70B – \u0432\u0456\u0434 140 \u0413\u0411 \u0443 FP16. \u0414\u043b\u044f \u0456\u043d\u0444\u0435\u0440\u0435\u043d\u0441\u0443 \u043c\u043e\u0436\u043d\u0430 \u0437\u043d\u0438\u0437\u0438\u0442\u0438 \u0432\u0438\u043c\u043e\u0433\u0438 \u0447\u0435\u0440\u0435\u0437 \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u0430\u0446\u0456\u044e (INT8, INT4), \u0430\u043b\u0435 \u0448\u0432\u0438\u0434\u043a\u0456\u0441\u0442\u044c \u0437\u0430\u043b\u0435\u0436\u0438\u0442\u044c \u0432\u0456\u0434 \u043f\u043e\u043a\u043e\u043b\u0456\u043d\u043d\u044f GPU.<\/span><\/p>\n

RAM \u0441\u0438\u0441\u0442\u0435\u043c\u0438 – \u043c\u0430\u0454 \u0431\u0443\u0442\u0438 \u044f\u043a \u043c\u0456\u043d\u0456\u043c\u0443\u043c \u0440\u0456\u0432\u043d\u043e\u044e \u0441\u0443\u043c\u0430\u0440\u043d\u043e\u043c\u0443 VRAM. \u041d\u0430 8xH100 (640 \u0413\u0411 VRAM) \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e 512+ \u0413\u0411 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0457 \u043f\u0430\u043c’\u044f\u0442\u0456 \u0434\u043b\u044f \u043d\u043e\u0440\u043c\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0438\u043d\u0433\u0443 \u0442\u0430 \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0443 \u0431\u0430\u0442\u0447\u0456\u0432.<\/span><\/p>\n

\u0421\u0445\u043e\u0432\u0438\u0449\u0435 – \u043d\u0435\u0434\u043e\u043e\u0446\u0456\u043d\u0435\u043d\u0438\u0439 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440. \u0414\u043b\u044f \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0432\u0435\u043b\u0438\u043a\u0438\u0445 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0456\u0432 (ImageNet, The Pile) \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u0430 \u0448\u0432\u0438\u0434\u043a\u0456\u0441\u0442\u044c \u0447\u0438\u0442\u0430\u043d\u043d\u044f 10+ \u0413\u0411\/\u0441. NVMe RAID – \u043c\u0456\u043d\u0456\u043c\u0430\u043b\u044c\u043d\u0430 \u0432\u0438\u043c\u043e\u0433\u0430; \u043e\u0434\u0438\u043d\u043e\u0447\u043d\u0438\u0439 NVMe \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u044c \u0432\u0443\u0437\u044c\u043a\u0435 \u043c\u0456\u0441\u0446\u0435 \u043d\u0430\u0432\u0456\u0442\u044c \u043d\u0430 \u043f\u043e\u0442\u0443\u0436\u043d\u043e\u043c\u0443 GPU-\u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0456.<\/span><\/p>\n

\u041c\u0435\u0440\u0435\u0436\u0430 – \u0434\u043b\u044f multi-node \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f: InfiniBand \u0432\u0456\u0434 200 \u0413\u0431\u0456\u0442\/\u0441 \u0430\u0431\u043e \u043c\u0456\u043d\u0456\u043c\u0443\u043c 2×25 GbE \u0434\u043b\u044f \u043c\u0435\u043d\u0448\u0438\u0445 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0456\u0432. \u0414\u043b\u044f \u043e\u0434\u0438\u043d\u043e\u0447\u043d\u043e\u0433\u043e \u0432\u0443\u0437\u043b\u0430 \u0434\u043e\u0441\u0442\u0430\u0442\u043d\u044c\u043e 1 GbE \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0456\u043d\u043d\u044f \u0442\u0430 10+ GbE \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0456 \u0434\u0430\u043d\u0438\u0445.<\/span><\/p>\n

CPU – \u0434\u0440\u0443\u0433\u043e\u0440\u044f\u0434\u043d\u0438\u0439 \u0440\u0435\u0441\u0443\u0440\u0441, \u0430\u043b\u0435 \u0432\u0430\u0436\u043b\u0438\u0432\u0438\u0439. AMD EPYC \u0430\u0431\u043e Intel Xeon \u0437 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044e \u044f\u0434\u0435\u0440 32+ \u0434\u043b\u044f \u043f\u0430\u0440\u0430\u043b\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0438\u043d\u0433\u0443. \u0412\u0443\u0437\u044c\u043a\u0435 \u043c\u0456\u0441\u0446\u0435 \u043f\u043e CPU \u043d\u0456\u0432\u0435\u043b\u044e\u0454 \u043f\u0435\u0440\u0435\u0432\u0430\u0433\u0438 \u0442\u043e\u043f\u043e\u0432\u0438\u0445 GPU.<\/span><\/p>\n

 <\/p>\n

\u041a\u0440\u0430\u0449\u0456 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0456 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u0457<\/b><\/h2>\n

\u041d\u0438\u0436\u0447\u0435 – \u0447\u043e\u0442\u0438\u0440\u0438 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u0457 \u043f\u0456\u0434 \u0440\u0456\u0437\u043d\u0456 \u0442\u0438\u043f\u0438 AI-\u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u044c. \u041d\u0435 \u0456\u0441\u043d\u0443\u0454 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u043e\u0457 “\u043d\u0430\u0439\u043a\u0440\u0430\u0449\u043e\u0457” – \u0454 \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u0430 \u0434\u043b\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0433\u043e \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f.<\/span><\/p>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f 1 – \u0406\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0433\u043e \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0443<\/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\u0456\u043a\u0430\u0446\u0456\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n2x NVIDIA RTX 4090 (48 \u0413\u0411 VRAM \u0441\u0443\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
\u0421\u0445\u043e\u0432\u0438\u0449\u0435<\/span><\/td>\n2x 3.84 \u0422\u0411 NVMe U.2<\/span><\/td>\n<\/tr>\n
\u041c\u0435\u0440\u0435\u0436\u0430<\/span><\/td>\n2x 25 GbE<\/span><\/td>\n<\/tr>\n
\u041f\u0456\u0434\u0445\u043e\u0434\u0438\u0442\u044c \u0434\u043b\u044f<\/span><\/td>\n\u041c\u043e\u0434\u0435\u043b\u0456 \u0434\u043e 30B \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0456\u0432 (INT8), RAG, embeddings<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f 2 – \u0422\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0442\u0430 \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0456\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\u0456\u043a\u0430\u0446\u0456\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n4x NVIDIA A100 80GB (320 \u0413\u0411 VRAM \u0441\u0443\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\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
RAM<\/span><\/td>\n1 \u0422\u0411 DDR4 ECC<\/span><\/td>\n<\/tr>\n
\u0421\u0445\u043e\u0432\u0438\u0449\u0435<\/span><\/td>\n4x 3.84 \u0422\u0411 NVMe RAID-0<\/span><\/td>\n<\/tr>\n
\u0406\u043d\u0442\u0435\u0440\u043a\u043e\u043d\u0435\u043a\u0442<\/span><\/td>\nNVLink \u043c\u0456\u0436 GPU<\/span><\/td>\n<\/tr>\n
\u041c\u0435\u0440\u0435\u0436\u0430<\/span><\/td>\nInfiniBand HDR 200 \u0413\u0431\u0456\u0442\/\u0441<\/span><\/td>\n<\/tr>\n
\u041f\u0456\u0434\u0445\u043e\u0434\u0438\u0442\u044c \u0434\u043b\u044f<\/span><\/td>\n\u0422\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f 7B-30B, \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0456\u043d\u0433 \u0434\u043e 70B \u0437 LoRA<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f 3 – \u0412\u0435\u043b\u0438\u043a\u043e\u043c\u0430\u0441\u0448\u0442\u0430\u0431\u043d\u0435 \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f (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\u0456\u043a\u0430\u0446\u0456\u044f<\/b><\/td>\n<\/tr>\n
GPU<\/span><\/td>\n8x NVIDIA H200 (1.1 \u0422\u0411 VRAM \u0441\u0443\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\u0430\u0440\u043d\u043e)<\/span><\/td>\n<\/tr>\n
RAM<\/span><\/td>\n2 \u0422\u0411 DDR5 ECC<\/span><\/td>\n<\/tr>\n
\u0421\u0445\u043e\u0432\u0438\u0449\u0435<\/span><\/td>\n8x 7.68 \u0422\u0411 NVMe U.2 RAID<\/span><\/td>\n<\/tr>\n
\u0406\u043d\u0442\u0435\u0440\u043a\u043e\u043d\u0435\u043a\u0442<\/span><\/td>\nNVLink 4.0<\/span><\/td>\n<\/tr>\n
\u041c\u0435\u0440\u0435\u0436\u0430<\/span><\/td>\n2x InfiniBand NDR 400 \u0413\u0431\u0456\u0442\/\u0441<\/span><\/td>\n<\/tr>\n
\u041f\u0456\u0434\u0445\u043e\u0434\u0438\u0442\u044c \u0434\u043b\u044f<\/span><\/td>\n\u0422\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f 70B+, foundation models, \u043c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u0456 \u0430\u0440\u0445\u0456\u0442\u0435\u043a\u0442\u0443\u0440\u0438<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f 4 – \u0411\u044e\u0434\u0436\u0435\u0442\u043d\u0438\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\u0456\u043a\u0430\u0446\u0456\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
\u0421\u0445\u043e\u0432\u0438\u0449\u0435<\/span><\/td>\n2x 1.92 \u0422\u0411 NVMe<\/span><\/td>\n<\/tr>\n
\u041c\u0435\u0440\u0435\u0436\u0430<\/span><\/td>\n1x 10 GbE<\/span><\/td>\n<\/tr>\n
\u041f\u0456\u0434\u0445\u043e\u0434\u0438\u0442\u044c \u0434\u043b\u044f<\/span><\/td>\n\u041f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u0443\u0432\u0430\u043d\u043d\u044f, \u043c\u043e\u0434\u0435\u043b\u0456 \u0434\u043e 13B (INT4), embeddings<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u0410\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0456 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u0457 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0445 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u0456\u0432: <\/span>dedicated servers Unihost<\/span><\/a>.<\/span><\/p>\n

 <\/p>\n

GPU vs CPU \u0441\u0435\u0440\u0432\u0435\u0440\u0438<\/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\u0435\u043b\u0456\u0437\u043c<\/span><\/td>\n\u041e\u0431\u043c\u0435\u0436\u0435\u043d\u0438\u0439 (\u0441\u043e\u0442\u043d\u0456 \u043f\u043e\u0442\u043e\u043a\u0456\u0432)<\/span><\/td>\n\u041c\u0430\u0441\u0438\u0432\u043d\u0438\u0439 (\u0442\u0438\u0441\u044f\u0447\u0456 CUDA-\u044f\u0434\u0435\u0440)<\/span><\/td>\n<\/tr>\n
\u041c\u0430\u0442\u0440\u0438\u0447\u043d\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457<\/span><\/td>\n\u041f\u043e\u0432\u0456\u043b\u044c\u043d\u043e<\/span><\/td>\n\u0428\u0432\u0438\u0434\u043a\u043e (10-100x)<\/span><\/td>\n<\/tr>\n
\u0412\u0430\u0440\u0442\u0456\u0441\u0442\u044c<\/span><\/td>\n\u041d\u0438\u0436\u0447\u0430<\/span><\/td>\n\u0412\u0438\u0449\u0430<\/span><\/td>\n<\/tr>\n
\u0422\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u043d\u0435\u0439\u0440\u043e\u043c\u0435\u0440\u0435\u0436<\/span><\/td>\n\u041d\u0435\u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e \u0434\u043b\u044f \u0432\u0435\u043b\u0438\u043a\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439<\/span><\/td>\n\u041e\u0441\u043d\u043e\u0432\u043d\u0438\u0439 \u0456\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442<\/span><\/td>\n<\/tr>\n
\u0406\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u043c\u0430\u043b\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439<\/span><\/td>\n\u041f\u0440\u0438\u0439\u043d\u044f\u0442\u043d\u043e<\/span><\/td>\n\u041d\u0430\u0434\u043b\u0438\u0448\u043a\u043e\u0432\u043e<\/span><\/td>\n<\/tr>\n
\u041f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0438\u043d\u0433 \u0434\u0430\u043d\u0438\u0445<\/span><\/td>\n\u0415\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e<\/span><\/td>\n\u0417\u0430\u0439\u0432\u0456 \u0432\u0438\u0442\u0440\u0430\u0442\u0438<\/span><\/td>\n<\/tr>\n
MLOps-\u043e\u0440\u043a\u0435\u0441\u0442\u0440\u0430\u0446\u0456\u044f<\/span><\/td>\n\u0414\u043e\u0441\u0442\u0430\u0442\u043d\u044c\u043e<\/span><\/td>\n\u0417\u0430\u0439\u0432\u0456 \u0432\u0438\u0442\u0440\u0430\u0442\u0438<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\u041f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u0438\u0439 \u043f\u043e\u0434\u0456\u043b: GPU-\u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u044c \u043c\u043e\u0434\u0435\u043b\u0456, CPU (\u0430\u0431\u043e VPS) \u0434\u043b\u044f \u043e\u0440\u043a\u0435\u0441\u0442\u0440\u0430\u0446\u0456\u0457, API-\u0448\u0430\u0440\u0443, \u043f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0438\u043d\u0433\u0443 \u0442\u0430 \u043c\u043e\u043d\u0456\u0442\u043e\u0440\u0438\u043d\u0433\u0443. \u0417\u043c\u0456\u0448\u0443\u0432\u0430\u0442\u0438 \u0432\u0441\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u043d\u0430 \u043e\u0434\u043d\u043e\u043c\u0443 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u0456 – \u0434\u043e\u0440\u043e\u0433\u043e \u0456 \u043d\u0435\u0435\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e.<\/span><\/p>\n

 <\/p>\n

\u0412\u0430\u0440\u0442\u0456\u0441\u0442\u044c vs \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0438\u0432\u043d\u0456\u0441\u0442\u044c<\/b><\/h2>\n\n\n\n\n\n\n\n\n
\u041a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f<\/b><\/td>\n\u041e\u0440\u0456\u0454\u043d\u0442\u043e\u0432\u043d\u0430 \u0446\u0456\u043d\u0430\/\u043c\u0456\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\u0443\u0432\u0430\u043d\u043d\u044f, \u043c\u0430\u043b\u0456 \u043c\u043e\u0434\u0435\u043b\u0456<\/span><\/td>\n<\/tr>\n
2x RTX 4090 (48 \u0413\u0411)<\/span><\/td>\n$800-1200<\/span><\/td>\n\u0421\u0435\u0440\u0435\u0434\u043d\u0456\u0439 \u0456\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\u0422\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f 7B-30B<\/span><\/td>\n<\/tr>\n
8x H100 80GB (640 \u0413\u0411)<\/span><\/td>\n$12000-20000<\/span><\/td>\n\u0412\u0435\u043b\u0438\u043a\u043e\u043c\u0430\u0441\u0448\u0442\u0430\u0431\u043d\u0435 \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f<\/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\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0441\u0442\u0430\u0454 \u0432\u0438\u0433\u0456\u0434\u043d\u0456\u0448\u0438\u043c \u0437\u0430 \u0445\u043c\u0430\u0440\u043d\u0456 GPU-\u0456\u043d\u0441\u0442\u0430\u043d\u0441\u0438 \u043f\u0440\u0438 \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043e\u0441\u0442\u0456 \u043f\u043e\u043d\u0430\u0434 60-70% \u043c\u0456\u0441\u044f\u0446\u044f. \u0414\u043b\u044f \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u043e\u0433\u043e \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0430\u0431\u043e \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d \u0456\u043d\u0444\u0435\u0440\u0435\u043d\u0441\u0443 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u043e\u043a\u0443\u043f\u0430\u0454\u0442\u044c\u0441\u044f \u0437\u0430 3-6 \u043c\u0456\u0441\u044f\u0446\u0456\u0432 \u043f\u043e\u0440\u0456\u0432\u043d\u044f\u043d\u043e \u0437 on-demand \u0445\u043c\u0430\u0440\u043e\u044e.<\/span><\/p>\n

 <\/p>\n

\u0421\u0446\u0435\u043d\u0430\u0440\u0456\u0457 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f<\/b><\/h2>\n

LLM-\u0456\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0443 \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d\u0456 – \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u0430 \u0441\u0442\u0430\u0431\u0456\u043b\u044c\u043d\u0430 \u043b\u0430\u0442\u0435\u043d\u0442\u043d\u0456\u0441\u0442\u044c \u0456 \u043f\u0435\u0440\u0435\u0434\u0431\u0430\u0447\u0443\u0432\u0430\u043d\u0438\u0439 throughput. \u0412\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 bare-metal GPU-\u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u0430\u0454 \u0456\u0437\u043e\u043b\u044c\u043e\u0432\u0430\u043d\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438 \u0431\u0435\u0437 “\u0433\u0430\u043b\u0430\u0441\u043b\u0438\u0432\u0438\u0445 \u0441\u0443\u0441\u0456\u0434\u0456\u0432” \u0445\u043c\u0430\u0440\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0435\u0434\u043e\u0432\u0438\u0449\u0430. \u041a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f \u043d\u0430 \u0431\u0430\u0437\u0456 2-4x A100 \u0430\u0431\u043e H100 \u0437\u0430\u043a\u0440\u0438\u0432\u0430\u0454 \u0431\u0456\u043b\u044c\u0448\u0456\u0441\u0442\u044c \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d-\u0437\u0430\u0432\u0434\u0430\u043d\u044c.<\/span><\/p>\n

\u0424\u0430\u0439\u043d-\u0442\u044e\u043d\u0456\u043d\u0433 \u0442\u0430 LoRA – \u044f\u043a\u0449\u043e \u0442\u0440\u0435\u043d\u0443\u0454\u0442\u0435 \u043d\u0435 \u0437 \u043d\u0443\u043b\u044f, \u0432\u0438\u043c\u043e\u0433\u0438 \u0434\u043e VRAM \u0437\u043d\u0430\u0447\u043d\u043e \u043d\u0438\u0436\u0447\u0456. \u041d\u0430 4x RTX 4090 \u0440\u0435\u0430\u043b\u044c\u043d\u043e \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0438\u0442\u0438 \u043c\u043e\u0434\u0435\u043b\u0456 \u0434\u043e 70B \u0447\u0435\u0440\u0435\u0437 QLoRA. \u0427\u0430\u0441 \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f – \u0432\u0456\u0434 \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u0433\u043e\u0434\u0438\u043d \u0434\u043e \u0434\u043e\u0431\u0438 \u0437\u0430\u043b\u0435\u0436\u043d\u043e \u0432\u0456\u0434 \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0443.<\/span><\/p>\n

RAG \u0442\u0430 embedding-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u0438 – \u043f\u043e\u043c\u0456\u0440\u043d\u0456 \u0432\u0438\u043c\u043e\u0433\u0438 \u0434\u043e GPU, \u0430\u043b\u0435 \u0432\u0430\u0436\u043b\u0438\u0432\u0430 \u0448\u0432\u0438\u0434\u043a\u0456\u0441\u0442\u044c \u0441\u0445\u043e\u0432\u0438\u0449\u0430 \u0434\u043b\u044f \u0432\u0435\u043a\u0442\u043e\u0440\u043d\u0438\u0445 \u0431\u0430\u0437. \u041e\u0434\u0438\u043d\u043e\u0447\u043d\u0438\u0439 GPU \u0441\u0435\u0440\u0435\u0434\u043d\u044c\u043e\u0433\u043e \u043a\u043b\u0430\u0441\u0443 + \u0448\u0432\u0438\u0434\u043a\u0438\u0439 NVMe – \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u0438\u0439 \u0431\u0430\u043b\u0430\u043d\u0441.<\/span><\/p>\n

\u041a\u043e\u043c\u043f’\u044e\u0442\u0435\u0440\u043d\u0438\u0439 \u0437\u0456\u0440 \u0442\u0430 \u043c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u0456 \u043c\u043e\u0434\u0435\u043b\u0456 – \u0432\u0438\u043c\u043e\u0433\u043b\u0438\u0432\u0456 \u0434\u043e VRAM \u0447\u0435\u0440\u0435\u0437 \u0440\u043e\u0437\u043c\u0456\u0440 \u0431\u0430\u0442\u0447\u0456\u0432 \u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u044c. H200 \u0437 141 \u0413\u0411 HBM3e \u0430\u0431\u043e \u0434\u0435\u043a\u0456\u043b\u044c\u043a\u0430 A100 \u0443 NVLink-\u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u0457.<\/span><\/p>\n

\u0414\u043e\u0441\u043b\u0456\u0434\u043d\u0438\u0446\u044c\u043a\u0456 \u0442\u0430 \u0435\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u0456 \u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u044f – \u0447\u0430\u0441\u0442\u043e \u0432\u0438\u0433\u0456\u0434\u043d\u0456\u0448\u0435 \u043e\u0440\u0435\u043d\u0434\u0443\u0432\u0430\u0442\u0438 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0430 \u043c\u0456\u0441\u044f\u0446\u044c, \u043d\u0456\u0436 \u043f\u043b\u0430\u0442\u0438\u0442\u0438 on-demand \u0446\u0456\u043d\u0438 \u0437\u0430 \u0445\u043c\u0430\u0440\u043d\u0456 GPU \u043f\u0456\u0434 \u0447\u0430\u0441 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0457 \u0444\u0430\u0437\u0438 \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f.<\/span><\/p>\n

\u0414\u043b\u044f AI-\u0456\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0438 \u043f\u0456\u0434 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0456 \u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u044f: <\/span>AI hosting Unihost<\/span><\/a>.<\/span><\/p>\n

 <\/p>\n

\u0427\u0430\u0441\u0442\u0456 \u0437\u0430\u043f\u0438\u0442\u0430\u043d\u043d\u044f<\/b><\/h2>\n

\u042f\u043a\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0430\u0439\u043a\u0440\u0430\u0449\u0438\u0439 \u0434\u043b\u044f AI?<\/b><\/h3>\n

\u041d\u0435\u043c\u0430\u0454 \u0454\u0434\u0438\u043d\u043e\u0457 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0456. \u0414\u043b\u044f \u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0432\u0435\u043b\u0438\u043a\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 – \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0437 4-8x A100\/H100 \u0456 NVLink. \u0414\u043b\u044f \u043f\u0440\u043e\u0434\u0430\u043a\u0448\u043d \u0456\u043d\u0444\u0435\u0440\u0435\u043d\u0441\u0443 – 2-4x GPU \u0437 \u0434\u043e\u0441\u0442\u0430\u0442\u043d\u0456\u043c VRAM \u0434\u043b\u044f \u0432\u0430\u0448\u043e\u0457 \u043c\u043e\u0434\u0435\u043b\u0456. \u0414\u043b\u044f \u043f\u0440\u043e\u0442\u043e\u0442\u0438\u043f\u0443\u0432\u0430\u043d\u043d\u044f – RTX 4090 \u0430\u0431\u043e \u043d\u0430\u0432\u0456\u0442\u044c CPU-\u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f \u043c\u0430\u043b\u0438\u0445 \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439. \u0412\u0456\u0434\u043f\u0440\u0430\u0432\u043d\u0430 \u0442\u043e\u0447\u043a\u0430 – \u0440\u043e\u0437\u043c\u0456\u0440 \u043c\u043e\u0434\u0435\u043b\u0456 \u0442\u0430 \u0446\u0456\u043b\u044c\u043e\u0432\u0430 \u0437\u0430\u0442\u0440\u0438\u043c\u043a\u0430.<\/span><\/p>\n

\u0427\u0438 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u0456 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u0438 \u0434\u043b\u044f AI-\u043f\u0440\u043e\u0454\u043a\u0442\u0456\u0432?<\/b><\/h3>\n

\u0417\u0430\u043b\u0435\u0436\u0438\u0442\u044c \u0432\u0456\u0434 \u0437\u0430\u0434\u0430\u0447\u0456. \u0422\u0440\u0435\u043d\u0443\u0432\u0430\u043d\u043d\u044f \u0456 \u0444\u0430\u0439\u043d-\u0442\u044e\u043d\u0456\u043d\u0433 \u0431\u0435\u0437 GPU \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e \u043d\u0435\u0440\u0435\u0430\u043b\u044c\u043d\u0456 \u0434\u043b\u044f \u0431\u0443\u0434\u044c-\u044f\u043a\u0438\u0445 \u0441\u0435\u0440\u0439\u043e\u0437\u043d\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439. \u0406\u043d\u0444\u0435\u0440\u0435\u043d\u0441 – \u043c\u043e\u0436\u043b\u0438\u0432\u0438\u0439 \u043d\u0430 CPU \u0434\u043b\u044f \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0434\u043e 7B, \u0430\u043b\u0435 \u0432 10-50 \u0440\u0430\u0437\u0456\u0432 \u043f\u043e\u0432\u0456\u043b\u044c\u043d\u0456\u0448\u0435. \u041f\u0440\u0435\u043f\u0440\u043e\u0446\u0435\u0441\u0438\u043d\u0433, \u043e\u0440\u043a\u0435\u0441\u0442\u0440\u0430\u0446\u0456\u044f \u0442\u0430 API-\u0448\u0430\u0440 – CPU \u0446\u0456\u043b\u043a\u043e\u043c \u0434\u043e\u0441\u0442\u0430\u0442\u043d\u044c\u043e, GPU \u0442\u0443\u0442 \u043d\u0430\u0434\u043b\u0438\u0448\u043a\u043e\u0432\u0438\u0439.<\/span><\/p>\n

\u0421\u043a\u0456\u043b\u044c\u043a\u0438 RAM \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0434\u043b\u044f AI-\u0441\u0435\u0440\u0432\u0435\u0440\u0430?<\/b><\/h3>\n

\u0421\u0438\u0441\u0442\u0435\u043c\u043d\u0430 RAM \u043c\u0430\u0454 \u0431\u0443\u0442\u0438 \u043c\u0456\u043d\u0456\u043c\u0443\u043c \u0440\u0456\u0432\u043d\u043e\u044e \u0441\u0443\u043c\u0430\u0440\u043d\u043e\u043c\u0443 VRAM. \u0414\u043b\u044f \u0441\u0435\u0440\u0432\u0435\u0440\u0430 8xH100 (640 \u0413\u0411 VRAM) – \u043c\u0456\u043d\u0456\u043c\u0443\u043c 512 \u0413\u0411 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0457 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 \u0432\u0456\u0434 VRAM. \u041d\u0435\u0441\u0442\u0430\u0447\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0457 \u043f\u0430\u043c’\u044f\u0442\u0456 \u0441\u0442\u0432\u043e\u0440\u044e\u0454 \u0432\u0443\u0437\u044c\u043a\u0435 \u043c\u0456\u0441\u0446\u0435 \u043f\u0440\u0438 \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u0456 \u0434\u0430\u043d\u0438\u0445 \u0456 \u043a\u0435\u0448\u0443\u0432\u0430\u043d\u043d\u0456 \u0430\u043a\u0442\u0438\u0432\u0430\u0446\u0456\u0439.<\/span><\/p>\n

\u0412\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 vs \u0445\u043c\u0430\u0440\u0430 \u0434\u043b\u044f AI?<\/b><\/h3>\n

\u0425\u043c\u0430\u0440\u0430 \u0432\u0438\u0433\u0440\u0430\u0454 \u043f\u0440\u0438 \u043d\u0438\u0437\u044c\u043a\u0456\u0439 \u0430\u0431\u043e \u043d\u0435\u0440\u0456\u0432\u043d\u043e\u043c\u0456\u0440\u043d\u0456\u0439 \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043e\u0441\u0442\u0456 (\u043c\u0435\u043d\u0448\u0435 50-60% \u0447\u0430\u0441\u0443), \u043f\u0440\u0438 \u043f\u043e\u0442\u0440\u0435\u0431\u0456 \u0432 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0443\u0432\u0430\u043d\u043d\u0456 \u0437\u0430 \u0445\u0432\u0438\u043b\u0438\u043d\u0438, \u0430\u0431\u043e \u0434\u043b\u044f \u043e\u0434\u043d\u043e\u0440\u0430\u0437\u043e\u0432\u0438\u0445 \u0435\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0456\u0432. \u0412\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0432\u0438\u0433\u0440\u0430\u0454 \u043f\u0440\u0438 \u0441\u0442\u0430\u0431\u0456\u043b\u044c\u043d\u043e\u043c\u0443 \u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u0456 24\/7, \u043f\u0440\u0438 \u0432\u0438\u043c\u043e\u0433\u0430\u0445 \u0434\u043e \u0456\u0437\u043e\u043b\u044f\u0446\u0456\u0457 \u0440\u0435\u0441\u0443\u0440\u0441\u0456\u0432, \u0430\u0431\u043e \u043a\u043e\u043b\u0438 \u0445\u043c\u0430\u0440\u043d\u0438\u0439 on-demand \u043a\u043e\u0448\u0442\u0443\u0454 \u0432 3-5 \u0440\u0430\u0437\u0456\u0432 \u0434\u043e\u0440\u043e\u0436\u0447\u0435 \u0437\u0430 \u043c\u0456\u0441\u044f\u0446\u044c.<\/span><\/p>\n

 <\/p>\n

\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u0440\u043e\u043a<\/b><\/h2>\n

\u042f\u043a\u0449\u043e \u0432\u0438 \u0437\u043d\u0430\u0454\u0442\u0435 \u0440\u043e\u0437\u043c\u0456\u0440 \u043c\u043e\u0434\u0435\u043b\u0456 \u0442\u0430 \u043f\u0440\u0438\u0431\u043b\u0438\u0437\u043d\u0435 \u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u044f – \u0432\u0436\u0435 \u043c\u043e\u0436\u043d\u0430 \u043f\u0456\u0434\u0431\u0438\u0440\u0430\u0442\u0438 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044e. \u041f\u0435\u0440\u0435\u0433\u043b\u044f\u043d\u044c\u0442\u0435 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0456 \u0432\u0430\u0440\u0456\u0430\u043d\u0442\u0438: <\/span>\u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0456 GPU-\u0441\u0435\u0440\u0432\u0435\u0440\u0438 Unihost<\/span><\/a> \u0430\u0431\u043e \u0443\u0442\u043e\u0447\u043d\u0456\u0442\u044c \u043f\u0456\u0434 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0435 AI-\u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0447\u0435\u0440\u0435\u0437\u00a0<\/span><\/p>\n

AI hosting<\/span><\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

\u0412\u0438\u0431\u0456\u0440 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0434\u043b\u044f AI \u0443 2026 \u0440\u043e\u0446\u0456 – \u0446\u0435 \u043d\u0435 \u043f\u0440\u043e “\u0432\u0437\u044f\u0442\u0438 \u043f\u043e\u0442\u0443\u0436\u043d\u0456\u0448\u0435”. \u0426\u0435 \u043f\u0440\u043e \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u0456\u0441\u0442\u044c \u0437\u0430\u043b\u0456\u0437\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u043c\u0443 \u043d\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0435\u043d\u043d\u044e: \u0442\u0440\u0435\u043d\u0443\u0454\u0442\u0435 \u0432\u0438 \u043c\u043e\u0434\u0435\u043b\u044c \u0437 \u043d\u0443\u043b\u044f, \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0454\u0442\u0435 \u0456\u043d\u0444\u0435\u0440\u0435\u043d\u0441 \u0430\u0431\u043e \u0431\u0443\u0434\u0443\u0454\u0442\u0435 RAG-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d. \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u0430 \u043a\u043e\u043d\u0444\u0456\u0433\u0443\u0440\u0430\u0446\u0456\u044f \u043d\u0430 \u0446\u044c\u043e\u043c\u0443 \u0440\u0456\u0432\u043d\u0456 \u043e\u0437\u043d\u0430\u0447\u0430\u0454 \u0430\u0431\u043e \u043f\u0435\u0440\u0435\u043f\u043b\u0430\u0442\u0443 \u0437\u0430 \u0440\u0435\u0441\u0443\u0440\u0441\u0438, \u044f\u043a\u0438\u0445 \u043d\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0454\u0442\u0435, \u0430\u0431\u043e \u0432\u0443\u0437\u044c\u043a\u0435 \u043c\u0456\u0441\u0446\u0435, \u044f\u043a\u0435 \u043d\u0435 \u0434\u0430\u0454 \u0440\u043e\u0437\u043a\u0440\u0438\u0442\u0438 GPU.   \u0412\u0438\u043c\u043e\u0433\u0438 \u0434\u043e AI-\u0441\u0435\u0440\u0432\u0435\u0440\u0456\u0432 […]<\/p>\n","protected":false},"author":7,"featured_media":6789,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"class_list":["post-8533","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\u041d\u0430\u0439\u043a\u0440\u0430\u0449\u0438\u0439 \u0432\u0438\u0434\u0456\u043b\u0435\u043d\u0438\u0439 \u0441\u0435\u0440\u0432\u0435\u0440 \u0434\u043b\u044f AI-\u043f\u0440\u043e\u0454\u043a\u0442\u0456\u0432 \u0443 2026 \u0440\u043e\u0446\u0456 - Unihost.com Blog<\/title>\n<meta name=\"description\" content=\"Compare the best dedicated GPU server configurations for AI in 2026. 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