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Hungarian wholesale price for 10G AI server

Hungarian wholesale price for 10G AI server

A 10-GPU AI server in Hungary is likely to cost between €120,000 and €250,000 wholesale, depending on GPU model, CPU, memory, and vendor options.Estimated Hardware CostsHigh-performance AI servers equipped with NVIDIA H100 or H200 GPUs typically cost $15,000 to $40,000 per server for 8-GPU configurations, with prices increasing for additional GPUs due to higher power, cooling, and chassis requirements . Extrapolating to a 10-GPU setup, the hardware alone could range from €120,000 to €250,000, depending on vendor, GPU generation, and included components . Vendors like Supermicro, Inspur, and Asus offer flexible configurations suitable for AI workloads .Additional ConsiderationsPower and Cooling: Each high-end GPU node consumes 5–7 kW, requiring upgraded power distribution and advanced cooling systems, which can double or triple total deployment costs if included in the purchase .Networking and Storage: AI servers often require high-bandwidth interconnects (25–100 GbE) and dense storage, which adds to the overall cost .Operational Costs: Maintenance, firmware updates, and potential software licensing are additional expenses that may not be included in the wholesale price .Regional AvailabilityWhile dedicated GPU servers are available in Europe, including Hungary, local vendors or distributors may offer bulk discounts for wholesale purchases. Companies like DataPacket provide dedicated servers in Budapest, though their listings focus on bandwidth and latency rather than GPU-specific wholesale pricing . European providers such as Hetzner offer GPU servers for AI workloads, but these are typically rental or managed services rather than outright wholesale purchases .SummaryFor a 10-GPU AI server in Hungary, expect a wholesale price range of €120,000–€250,000, with the final cost influenced by GPU type, CPU, memory, storage, and vendor-specific options. Additional infrastructure costs for power, cooling, and networking should be considered if deploying in a local data center .

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