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AI server PC Praha Epic Elite – 2× RTX 4090, AMD EPYC 9754, 384 GB RAM
PC Praha · AI and GPU servers
Key specifications
Assembly and testing: usually 5–7 working days. We often have the server in stock and ship it straight away – we always confirm the date individually.
4U rack server with 2× NVIDIA RTX 4090 (48 GB of graphics memory) and a 128-core AMD EPYC 9754 processor with 384 GB of DDR5 ECC memory. For running and fine-tuning AI models, rendering and workloads that need lots of cores and memory. Built to order and pre-installed for your 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 →
| Component | Specification |
|---|---|
| Graphics cards | 2× MSI GeForce RTX 4090 SUPRIM X 24G (24 GB GDDR6X, PCIe 4.0 x16) |
| Processor | AMD EPYC 9754 (128C/256T, 360 W, socket SP5) |
| Motherboard | ASRock Rack GENOAD8X-2T/BCM (DDR5 ECC, 2× 10 GbE, IPMI) |
| Memory | 384 GB DDR5-5600 ECC |
| Storage | Bay for U.2/U.3 NVMe drives – drive capacity specified in the quote |
| Power supply | 2,600 W PSU (LX2600W) |
| Chassis and cooling | 4U rack (24″ depth), Supermicro SNK-P0084AP4 CPU cooler |
| Power draw | approx. 1,400 W at full load (cards 2× 450 W, processor 360 W) |
For companies, developers and studios that want to run AI models in-house and also need plenty of CPU cores and memory. 48 GB of graphics memory is enough for language models of up to roughly 30 billion parameters (e.g. Qwen3 32B in 8-bit quantisation), quantised models of around 70 billion parameters with a shorter context, image and video generation, and rendering. 128 cores and 384 GB of memory are well suited to data preparation, virtualisation and CPU workloads. When the server is not busy with your jobs, it can mine cryptocurrencies on its graphics cards.
We agree in advance what will run on the server (e.g. vLLM, llama.cpp, Ollama, ComfyUI, Blender) and prepare it precisely for your task. Before handover, we test the server for 72 hours under full load. Standard configurations are usually built and tested within 7–14 working days of quote approval. We keep key spare parts in stock in Prague and provide on-site service and part replacement within 24/48 hours. The warranty is 24 months.
The server belongs in a rack or technical room with good cooling and a circuit that can handle roughly 1.5 kW. Don't want to deal with space, noise and cooling? We can place the server in our hosting at the data centre – terms agreed individually.
Photo is for illustration only.
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