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AI server 4× RTX 5090 – 128 GB VRAM, AMD EPYC, 512 GB RAM
PC Praha · AI and GPU servers
Made to order · we build the server, test it under load for 72 hours and usually deliver within 7–14 working days. We'll confirm the exact date after you order.
4U rack server with 4× NVIDIA RTX 5090 and 128 GB of graphics memory on the AMD EPYC platform. For running AI models in your company, generating images and video, and rendering – and when it is not computing, it can mine. We build each new server to order and deliver it pre-installed for your specific task.
Full description, video and specificationsYour own chatbot, assistant or company document processing right on your premises. Which model will run on the server is determined mainly by the graphics memory (VRAM) – see the description below for details; we're happy to advise. Your data stays with you, with no monthly cloud fees.
Image and video generation in ComfyUI, rendering in Blender, or editing and effects in DaVinci Resolve. Each card can work on its own task.
When the server isn't running your workloads, it can mine cryptocurrencies on its graphics cards. For cards where we have current network data, you'll see today's earnings below.
Today's earnings on the most profitable coin for these graphics cards. Recalculated every hour.
| Coin | Server hashrate | Revenue / day | Profit / day |
|---|
Earnings are an estimate for today excluding pool fees, for cards tuned for mining. They change with network difficulty and the coin's price. Profitability of all graphics cards →
| Graphics cards | 4× NVIDIA GeForce RTX 5090 32 GB GDDR7 (575 W, PCIe 5.0 x16, running at PCIe 4.0 x16 on this board) |
| Processor | AMD EPYC 7643 (48C/96T, 225 W, 128 PCIe 4.0 lanes) |
| Motherboard | ASRock Rack ROMED8-2T (7× PCIe 4.0 x16, 8× DDR4 ECC, 2× 10 GbE, IPMI) |
| Memory | 512 GB DDR4-2666 ECC RDIMM (8× 64 GB, all slots populated) |
| Storage | 2 TB NVMe M.2 (PCIe 4.0) |
| Power supply | 2× 2 kW ATX, synchronised (4 kW in total) |
| Chassis and cooling | 4U rack, tower CPU cooler, 3× 120 mm at the front + 1× 120 mm at the rear |
| Power draw | approx. 2,650 W at full load (cards 4× 575 W) |
For companies, developers and studios that want to run AI models in-house – your data never leaves your company and you pay no monthly fees for cloud GPUs. 128 GB of graphics memory is enough for language models of up to roughly 120 billion parameters, for image and video generation and for rendering. When the server is not busy with your workloads, it can mine cryptocurrencies on its graphics cards.
The server belongs in a rack or a technical room with good cooling and a circuit that can handle around 2.7 kW. We agree in advance what will run on the server (e.g. vLLM, llama.cpp, Ollama, ComfyUI) and prepare it precisely for your task. We can also advise you on where to place it.
