Are you looking to deploy dedicated GPU servers in Europe? We have expanded our NVIDIA Blackwell GPU portfolio at NovoServe, addding the RTX Pro 4000 directly to our webshop. You can provision single GPU nodes or scale up to dual, quadruple, and 8-GPU configurations. We house single-card builds in our Supermicro X11 2SFF 12LFF chassis, while our multi-GPU powerhouses run on high-density Supermicro H12 platforms.
The RTX Pro 4000 GPU is our favourite GPU for cost-conscious, high-efficiency AI compute. Delivering 24GB of high-speed VRAM per card at a lower power draw than top-tier enterprise GPUs, it drastically lowers energy consumption per inference request. It delivers peak ROI for real-time AI inference, mid-sized model fine-tuning, and multi-stream video encoding. If your architecture demands bigger memories, scaling to RTX Pro 5000 or RTX Pro 6000 is a better option. Every configuration is fully customizable across RAM, NVMe storage, CPU tiers, and unmetered uplink speeds, with alternative GPU models available upon request.
Below are our recommended baseline configurations equipped with the NVIDIA RTX Pro 4000:
Processor: 2x Intel Xeon Silver 4116 (Total: 24 Cores, 2.0 GHz)
Memory: 64 GB DDR4 RAM
Storage: 1x 480GB SSD (OS) + 2x 12TB SATA LFF (Data)
GPU: 1x NVIDIA RTX PRO 4000 Blackwell (24GB VRAM)
Included Uplink: 25TB Traffic (2 Gbps rate limit)
Data Center: Amsterdam, NL
Monthly List Price: €561
This single-GPU deployment delivers a cost-effective foundation for localized AI inference, computer vision pipelines, and lightweight generative model serving. Combining 24GB of dedicated VRAM with 24TB of raw SATA storage allows engineering teams to host massive dataset repositories directly alongside compute resources without cloud egress fees. The dual Intel Xeon processors handle pre-processing and pipeline orchestrations reliably while the GPU executes low-latency model inference. It represents an ideal entry point for dev teams needing dedicated hardware isolated from multi-tenant cloud environments.
Base Chassis: Supermicro H12 4SFF+U.3
Processor: 2x AMD EPYC 7302 (16 Cores, 3.0 GHz)
Memory: 128 GB DDR4
Storage: 2x 480GB Enterprise SSD
GPU: 2x NVIDIA RTX PRO 4000 Blackwell (24GB VRAM each)
Power Supply: Dual PSU Included
Uplink: Dedicated 2x 25Gb/s, 25TB Traffic (2 Gbps Rate Limit)
Data Center: The Netherlands
Monthly List Price: €1,098
Doubling compute capacity to 48GB of total VRAM enables parallel workload distribution and model sharding for medium-scale transformer models. Powered by dual 16-core AMD EPYC 7302 CPUs, this system eliminates PCIe bandwidth bottlenecks during heavy host-to-device data transfers. Enterprise SSDs in RAID provide fast I/O throughput for model checkpoint loading and log writing. This machine suits concurrent inference pipelines, high-resolution 3D rendering clusters, and multi-tenant AI SaaS backend architectures requiring zero hardware contention.
Base Chassis: Supermicro H12 4SFF+U.3
Processor: 2x AMD EPYC 7302 (16 Cores, 3.0 GHz)
Memory: 128 GB DDR4
Storage: 2x 480GB Enterprise SSD
GPU: 4x NVIDIA RTX PRO 4000 Blackwell (24GB VRAM each)
Power Supply: Dual PSU
Included Uplink: Dedicated 2x 25Gb/s, 25TB Traffic (2 Gbps Rate Limit)
Data Center: The Netherlands
Monthly List Price: €1,598
Packing four GPUs into a single Supermicro H12 chassis yields 96GB of aggregate VRAM, opening up parameter-efficient fine-tuning (PEFT) and LoRA training for 70B parameter models. The quadrupled compute density drastically cuts training iteration times while keeping monthly power and rack space overhead predictable. AMD EPYC architecture ensures high PCIe lane availability to feed high-speed data directly to all four GPUs simultaneously. It provides an enterprise sweet spot for AI R&D labs, data science teams, and high-throughput computer vision production backbones.
Base Chassis: Supermicro H12 4SFF+U.3
Processor: 2x AMD EPYC 7302 (16 Cores, 3.0 GHz)
Memory: 128 GB DDR4
Storage: 2x 480GB Enterprise SSD
GPU: 8x NVIDIA RTX PRO 4000 Blackwell (24GB VRAM each)
Power Supply: Dual PSU
Included Uplink: Dedicated 2x 25Gb/s, 25TB Traffic (2 Gbps Rate Limit)
Data Center: The Netherlands
Monthly List Price: €2,598
This 8-GPU configuration delivers extreme parallel compute density, providing 192GB of distributed Blackwell VRAM inside a dedicated bare-metal footprint. Designed for intensive deep learning workloads, multi-GPU batch inference, and large-scale synthetic data generation, it processes massive tensor operations without hitting memory bottlenecks. Dual redundant power supplies and enterprise-grade Supermicro engineering guarantee high operational stability during long training runs. It is engineered for AI-first enterprises requiring maximum hardware performance without paying cloud hyperscaler premiums.
GPU server architecture is complex. If you need help calculating your exact VRAM requirements, evaluating GPU models, or tailoring hardware to your AI workflows, start a live chat with us anytime.
