GPU Dedicated Servers

Our GPU dedicated servers support scalable configurations ranging from single GPU and dual GPU setups up to quadruple (4x) and 8x GPU nodes per individual chassis. This flexibility allows you to start small for inference tasks and scale up to massive multi-GPU clusters for distributed training. By interconnecting multiple 8-GPU servers via high-speed private VLANs, you can build supercomputing clusters tailored exactly to your parameter size and batch requirements.

Bare metal GPU hosting gives you physical, single-tenant server hardware entirely dedicated to your workloads, eliminating the virtualization overhead and "noisy neighbor" latency inherent to shared cloud GPU environments. In a cloud setup, you share network interfaces, CPU cycles, and storage IOPS with other tenants, which causes unpredictable performance spikes. Bare metal GPU servers ensure 100% predictable performance, lower long-term costs, and complete data sovereignty since you control the hardware down to the firmware level.

NovoServe currently offers flexible monthly contracts alongside long-term annual and multi-year lease agreements that unlock significant volume discounts. We focus on providing stable, predictable infrastructure costs rather than unpredictable hourly billing models that quickly spiral out of control for sustained AI training workloads. By securing a monthly or long-term dedicated server, your business avoids the aggressive price inflation typically associated with on-demand cloud GPU usage.

VRAM requirements for AI inference depend directly on the model's parameter count, the quantization levels applied, and your required batch sizes. For running lightweight 7B to 8B parameter models at FP16 precision, a single GPU with 16GB to 24GB of VRAM (like an RTX 3090 or RTX A4000) is highly effective. Mid-size 13B to 30B models generally demand 32GB to 48GB of VRAM (such as the RTX A6000). For massive 70B parameter models, you require at least 140GB of VRAM, necessitating dual or quad GPU setups like multiple RTX PRO 6000s or H100s.

Dedicated servers with GPU hosting at NovoServe start at highly competitive rates, such as €219 per month for entry-level single GPU bare metal nodes, and scale upward based on processor configuration, RAM capacity, and the specific GPU architecture selected. By eliminating hidden data egress fees and hourly usage spikes, our flat-rate monthly pricing allows CTOs and infrastructure managers to precisely forecast their AI computing budgets without unexpected billing surprises.

Yes. Single GPU dedicated servers of NovoServe equipped with high-VRAM cards like the NVIDIA RTX 3090, RTX A6000, or H100 are extremely capable for running local LLM inference, embedding generation, and smaller fine-tuning tasks. They deliver strong price-to-performance ratios without the expense of a full 8-card cluster.

Our base GPU dedicated server packages include a generous 25TB of premium monthly traffic at a 2Gbps rate, but we also offer entirely unmetered bandwidth upgrades on dedicated 10Gbps to 50Gbps ports. Unmetered bandwidth is absolutely critical for AI teams constantly moving multi-terabyte datasets, synchronizing checkpoints across global nodes, or serving continuous high-bandwidth video streams for real-time computer vision analysis.

NovoServe operates ISO 27001 and PCI DSS certified Tier-III data centers equipped with strict biometric access controls, 24/7 on-site security personnel, and continuous CCTV surveillance. When you lease a bare metal GPU server, your data resides on physically isolated disks that only you can access. We enforce strict data destruction protocols upon hardware decommissioning, ensuring your proprietary AI models and sensitive corporate data are never exposed to unauthorized parties.