Cloud Computing · Hosting & VPS
GPU servers for AI, ML and HPC
Dedicated NVIDIA GPU servers for AI, machine learning, rendering and HPC — from a single GPU to clusters of a dozen or more liquid-cooled GPU racks, delivered and operated by our team in Poland.
Service details
GPU servers for every scale — from one card to entire GPU data halls
A GPU server is a machine equipped with one or more graphics processors (GPUs) designed for massively parallel computing. Where a regular CPU handles a few dozen tasks at once, a data-center GPU such as the NVIDIA A100 or H100 processes thousands of operations in parallel — which makes it the engine behind artificial intelligence, machine learning, data science, 3D rendering and scientific computing.
We deliver any GPU solution your project needs. It can be a single dedicated GPU in a virtual server, a bare-metal machine with up to 8 NVIDIA A100 GPUs, a multi-node cluster — or a complete deployment made up of a dozen or more GPU server racks, designed, installed and run by our team.
For high-density GPU racks we provide liquid cooling, which removes heat far more efficiently than air and lets the hardware run at full performance around the clock.
What we take care of
- Sizing: the right GPU model, number of cards, CPU, RAM and storage for your workload
- Hardware delivery, installation and cabling in our Tier III data center
- Power and cooling — including liquid cooling for dense GPU racks
- High-bandwidth networking between nodes and fast NVMe or S3 storage
- 24/7 monitoring and, if you want, full administration of the environment
- Security and compliance: GDPR, NIS2, DORA and MiCA
VPS with GPU
A virtual server with at least one dedicated GPU. The fastest way to start with AI inference, development and testing.
From 1 dedicated GPUBare-metal GPU server
A physical server just for you, with up to 8 NVIDIA A100 GPUs, up to 256 vCores and up to 6 TB of RAM.
From 2 GPUsGPU cluster
Several GPU servers connected with high-bandwidth networking for distributed training and large language models.
Multi-nodeLarge-scale, liquid-cooled
Deployments of a dozen or more GPU racks with liquid cooling — designed, built and operated as one turnkey project.
Dozens of racksLiquid cooling
Liquid-cooled GPU racks for maximum density
Modern data-center GPUs draw several hundred watts each, and a fully populated GPU rack can need many times the power of a typical server rack. Air alone struggles to remove that much heat — the cards throttle, fans run at full speed and density has to be reduced.
Liquid cooling carries the heat away with a coolant flowing close to the components, typically through cold plates mounted directly on the GPUs and CPUs or through heat exchangers in the rack. The result:
- More GPUs per rack — high-density configurations that are not possible with air cooling.
- Full, stable performance — GPUs stay within safe temperatures and do not slow down under long training runs.
- Lower energy use — less power spent on cooling means better efficiency (PUE) and lower operating costs.
- Room to grow — the same approach scales from a single rack to deployments of a dozen or more racks.
Typical large-scale GPU project
- Workshop: workloads, models, timeline and budget
- Architecture: GPU model, node count, network, storage, cooling
- Rack and power design, including liquid cooling where needed
- Delivery, installation and burn-in tests
- Handover with monitoring, SLA and optional management
Use cases
What our customers run on GPU servers
Want to run DeepSeek? Ready-made GPU plans with NVIDIA RTX A2000, A10, A30 and A40 cards, ordered online from PLN 899 net per month.
See DeepSeek plansEngagement models
Choose how you use GPU power
| Model | Minimum | Terms |
|---|---|---|
| Bare Metal | 2 GPUs | Minimum 1-year contract |
| VPS with GPU | 1 dedicated GPU | Minimum 1-year contract |
| VPS with GPU — hourly billing | 2 GPUs | Minimum compute commitment, 1-year contract |
| Dedicated GPU solution | 2 GPUs | Minimum compute commitment, 1-year contract |
Product sheet
| Bare Metal | VPS with GPU | Hourly GPU VPS | Dedicated solution | |
|---|---|---|---|---|
| Storage | SSD, NVMe (max. 2 PB) | SSD, NVMe (max. 2 PB) | SSD, NVMe (max. 2 PB) | SSD, NVMe (any number of PB) |
| CPU | max. 256 vCores | max. 256 vCores | max. 256 vCores | any number of vCores |
| RAM | max. 6 TB | max. 1024 GB | max. 1024 GB | any number of TB |
| Number of IP addresses | unlimited | unlimited | unlimited | unlimited |
| S3 service integration | ✓ | ✓ | ✓ | ✓ |
| Data deduplication | ✓ | ✓ | ✓ | ✓ |
| Data encryption | ✓ | ✓ | ✓ | ✓ |
| High availability | on request | on request | on request | on request |
| Liquid cooling | on request | — | — | ✓ |
| GDPR / MiCA / NIS2 / DORA compliance | ✓ | ✓ | ✓ | ✓ |
| Multi-region data storage | ✓ | ✓ | ✓ | ✓ |
Book a call with an engineer. We'll size the GPUs, storage and cooling strictly to your workload — with no artificial costs.
Questions and answers
GPU server FAQ
What is a GPU server?
A GPU server is a server equipped with one or more graphics processing units designed for parallel computing. Data-center GPUs such as NVIDIA A100 or H100 perform thousands of calculations at the same time, which makes them far faster than CPUs for AI, machine learning, rendering and scientific workloads.
When do I need a GPU server instead of a regular server?
When your workload consists of many similar calculations that can run in parallel: training or running AI models, image and video processing, 3D rendering, simulations or large-scale data analysis. For websites, databases or typical business applications a regular VPS or dedicated server is usually the better and cheaper choice.
Which GPUs do you offer?
We configure servers with NVIDIA data-center GPUs — from cost-effective RTX A2000 and A10 cards, through A30 and A40, up to A100 and H100 for the most demanding training and LLM workloads. A single server can hold up to 8 GPUs, and larger needs are covered by clusters.
Can you deliver a large deployment with many GPU racks?
Yes. We deliver any GPU solution, including deployments made up of a dozen or more GPU server racks. We handle the whole project: architecture, hardware delivery, rack and power design, cooling, networking, installation, testing and ongoing operation with 24/7 monitoring.
Do you offer liquid-cooled GPU servers?
Yes. For high-density GPU racks we provide liquid cooling, which removes heat much more efficiently than air. It allows more GPUs per rack, keeps the cards at full performance during long workloads and reduces the energy spent on cooling.
What is the difference between bare metal and a VPS with GPU?
A bare-metal GPU server is a whole physical machine reserved for you, with all its GPUs, CPU and memory — ideal for training and maximum performance. A VPS with GPU is a virtual server with at least one dedicated GPU, which is faster to start and easier to scale. Both give you exclusive use of the GPUs assigned to you.
Can I pay for GPU time by the hour?
Yes, hourly billing is available for VPS with GPU from 2 GPUs, with a minimum compute commitment and a 1-year contract. It suits workloads that run in bursts, such as periodic training jobs.
What is the minimum contract?
GPU servers are offered on a minimum 1-year contract. The minimum configuration is 1 dedicated GPU for a VPS with GPU and 2 GPUs for bare metal, hourly billing and dedicated solutions. Ready-made DeepSeek plans can be ordered online.
Can I run large language models such as DeepSeek?
Yes. GPU servers are ideal for running LLMs privately, so your prompts and documents never leave your infrastructure. For DeepSeek we have ready-made plans; for other models or larger deployments we prepare a custom configuration.
Where are the servers located and is my data secure?
The servers run in a Tier III data center in Poland with ISO 27001 certification, so your data stays in the European Union. Data encryption, deduplication and multi-region storage are available, and the environment supports GDPR, NIS2, DORA and MiCA compliance.
Can you manage the GPU environment for us?
Yes. Beyond providing the hardware, we can monitor the environment 24/7, keep drivers and software up to date, deploy AI frameworks and models and take over full server administration.
How do I order a GPU server?
Tell us about your workload through the contact form or book a short call with an engineer. We will propose a configuration and a quote; for standard setups this usually takes one business day.
See also
Related services
Not sure what to choose?
We'll match the configuration to your application.
A short call with an engineer, not a salesperson: traffic, requirements, budget. If a cheaper package will do, we'll tell you.
We respond within one business day.
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