Dedicated GPU server hosting in Europe
IPHOST GPU servers are physical HPE Gen10 machines with NVIDIA data center cards, hosted in our ISO/IEC 27001 certified data center in Chișinău, Moldova. With GPU server hosting from IPHOST, the graphics card, processors, memory and storage are yours alone: nothing is shared with other clients and no hypervisor sits between your code and the hardware.
Each plan comes with full root access, iLO remote management, a 1 Gbps network port with 30 TB of monthly traffic and basic DDoS protection. We install Linux (Ubuntu, Debian, Rocky Linux) or Windows Server with the NVIDIA driver and CUDA, so the server is ready for PyTorch, TensorFlow, Ollama or vLLM on the first login.
NVIDIA L4 24GB: inference and video
The NVIDIA L4 is a low-power Ada Lovelace card with 24 GB of GDDR6 memory. It runs 7–8B language models in FP16, larger models up to about 30B when quantized to 4-bit, speech recognition and image classification. Its hardware encoder supports AV1, H.264 and HEVC, which makes it a strong choice for live video transcoding and streaming. The L4 plan runs on an HPE DL360 Gen10 with one Xeon Gold 6248 and 128 GB of RAM.
NVIDIA A40 48GB: bigger models, rendering and VDI
The NVIDIA A40 doubles the video memory to 48 GB with ECC. That is enough for 70B language models quantized to 4-bit, Stable Diffusion and image generation at high resolution, LoRA fine-tuning of 7–13B models, 3D rendering with RT cores and virtual desktops. The A40 plan uses an HPE DL380 Gen10 with two Xeon Gold 6230R processors (52 cores) and 192 GB of RAM.
2x NVIDIA A100 40GB: training and fine-tuning
Two NVIDIA A100 cards give 80 GB of HBM2 memory in total for training and fine-tuning. Split a model across both GPUs to serve 70B models in 8-bit, fine-tune 13–34B models with LoRA or QLoRA, or run two independent jobs side by side. With 256 GB of system RAM and 52 CPU cores, data loading does not hold the GPUs back.
What you can run on a dedicated GPU server
- LLM hosting – private chatbots and APIs with Llama, Mistral, Qwen or DeepSeek through Ollama or vLLM, without sending data to a third-party API.
- AI inference – computer vision, speech-to-text, embeddings and recommendation models with steady latency.
- Fine-tuning – adapt open models to your own data with LoRA or QLoRA.
- Rendering and 3D – Blender, Unreal Engine and other GPU renderers.
- Video transcoding – live and on-demand encoding with NVENC, AV1 on the L4.
Dedicated GPU server or cloud GPU?
Cloud GPUs are billed by the hour and suit short experiments. When a model runs every day, a dedicated GPU server usually costs less for the same work: the price is fixed, there is no charge per hour or per token, and the card is never shared with a noisy neighbour. You also keep your models and data on hardware that only you use.
Why Chișinău, Moldova
Our servers run in our own data center in Chișinău, certified to ISO/IEC 27001, with an 80 Gbps network, several transit providers and DDoS protection. Moldova is in Europe but outside the EU, which keeps prices below those of data centers in Western Europe. You can pay by card, bank transfer or cryptocurrency (Bitcoin, USDT or USDC).
How the pre-order works
- Choose a plan and the billing period: 3 months, or 12 months at a discount, then place the order online.
- Pay for the chosen period, at least 3 months. We buy and fit the graphics card, then stress-test the server.
- You get the server within 14 days. If we miss the date, we refund you in full.
Pay every 3 months or for 12 months
GPU servers are billed quarterly, 3 months in advance, and the prices in the table are for this billing. If you pay 12 months in advance, the monthly price is up to 14% lower. You choose the billing period in the cart.
Need a different card, more memory or unmetered traffic? See all dedicated servers or ask us for a quote.
