Custom language model
Build your own model without queues or cloud limitations. Gain full control over your data and response quality. Iterate faster, deploy with confidence, and grow without barriers. We provide the power, you gain the competitive edge.
24/7 chatbots and assistants
Deliver instant responses, no matter the traffic. Your bots run smoothly during peak hours and at night. Stability your customers and support team will love. Scale in minutes, not weeks.
Image analysis
Analyze images and automate insights in real time. Get actionable alerts, clear reports, and dashboards to make smarter, faster decisions. Maximize efficiency and see measurable impact in weeks.
data security
Polish infrastructure for Your AI projects
specifications
Find the right GPU for your needs
Nvidia RTX 5090
The RTX 5090 is a high-end card for AI enthusiasts and gamers, and its 32 GB of GDDR7 memory allows you to run serious models locally, such as DeepSeek-R1 14B. The card features the Blackwell GB202 chip with 21,760 CUDA cores and 680 Tensor 5th generation cores. It is suitable for training small to medium models, as well as for very fast inference and 4K or 8K rendering. With Game Ready and NVIDIA Studio drivers, the RTX 5090 works as a versatile all-in-one card for gaming with full ray tracing, video and 3D editing, and local experiments with models like Llama 3.1 8B or DeepSeek-R1 14B. Together with our server, it provides an excellent starting point for less demanding, quantized LLMs or video rendering.
Nvidia RTX Pro 6000 Blackwell
The RTX PRO 6000 Blackwell is an excellent choice for demanding professionals. With 96 GB of ultra-fast GDDR7 memory with ECC and around 1.8 TB/s bandwidth, you can comfortably run very large LLMs, such as the DeepSeek-R1 32B variant. The GPU offers approximately 24,000 CUDA cores and 752 Tensor 5th generation cores, making it ideal for generative AI, training medium models, and fast inference. With MIG (Multi-Instance GPU) you can split the card into multiple logical instances, such as 2x48 GB or 4x24 GB. NVIDIA RTX Enterprise drivers ensure stability, long-term support, and integration with vGPU environments and enterprise applications. The RTX PRO 6000 Blackwell is perfect as a server for teams that want a local, fully controlled environment for large AI models.
Nvidia H200
The Nvidia H200 is a data center-class accelerator designed for the largest language and generative AI models that fit entirely in a single GPU's memory. It offers 141 GB of high-bandwidth HBM3e memory, allowing you to run models with 70B+ parameters, such as DeepSeek or ChatGPT 70B. The Hopper core in the H200 provides thousands of CUDA cores and 4th generation Tensor cores optimized for FP16 and LLM computations, making the card excellent for both training and intensive production inference. H200 supports MIG (Multi-Instance GPU), so a single physical accelerator can be split into multiple isolated instances for different teams, microservices, or clients. It operates within the NVIDIA AI Enterprise ecosystem, providing a stable, certified enterprise environment for deploying and maintaining large models.offer
Explore our dedicated servers
Tailored CPUs
Server processors are selected to ensure GPUs never have to wait. We provide full PCIe bandwidth and configurations optimized for your workloads. High-frequency variants are available for low latency, while energy-efficient options are suited for long-running tasks.
NVMe Storage
Enterprise-grade NVMe drives are used with RAID1 for system drives and RAID10 for data. Storage capacity is customized to your needs. Faster access to datasets, checkpoints, and cache helps reduce iteration times.
Stable Network
Up to 2×10 Gb/s using LACP with optional 25 or 100 GbE. Our high-performance network backbone in Poland and across Europe, with nodes at major exchange points, ensures low latency to cloud providers and operators.
Data Center in Poland
Our own data center is located in Poland, keeping your data within the country and fully GDPR-compliant. The infrastructure includes redundant power and cooling, 24/7 monitoring, and fast support.
Offer available soon!
Contact us to learn more and reserve a configuration for your project.
FAQ
Check out the frequently asked questions
Where is your Data Center located?
Our Data Center is located in Wrocław, at 16k Fabryczna Street, within the Wrocław Technology Park. This means that all data is stored in Poland.
What service availability (SLA) do you offer?
Thanks to redundant power systems, cooling, and a reliable backbone network, we offer a very high level of availability: SLA of up to 99.998%. This translates into minimal downtime throughout the year and high predictability for business-critical services.
Can I customize server parameters for a specific project (e.g., AI, games, databases)?
Yes, in addition to ready-made configurations we can tailor a server precisely to your requirements, from the type of processor (e.g., Intel Xeon, AMD EPYC, Ryzen), through the amount of RAM, to the SSD/NVMe disk setup and network bandwidth. If you describe your needs, we will recommend a configuration optimized for your workload.
Do you offer administrator support and help with server management?
Yes, one element of our offer is support from experienced administrators who assist with configuration, optimization, and ongoing server maintenance. This way, you don’t need a full in-house specialist team and you can rely on our know-how and focus on developing your application instead of managing infrastructure.
What is a dedicated server?
A dedicated server is a service in which the server is used by a single customer. This means the user has full access to all server resources, including computing power, storage, memory, and network. A dedicated server is a good choice for those who need high computing performance, large storage capacity, high throughput, and strong security. We deliver dedicated servers with an installed operating system and software, which the customer can customize according to their needs.
What are dedicated GPU servers best suited for?
GPU servers are ideal for tasks requiring massive computing power: training and inference of AI/ML models, generative models (LLMs, image, video), 3D rendering, and HPC workloads. Thanks to thousands of parallel GPU cores, they accelerate matrix operations several-fold compared to CPUs alone, which is crucial for large datasets and AI projects.
Can I order a server with more than one GPU?
For projects with very high computational demands, such as large model training, render farms, or advanced simulations, you can order a configuration that includes multiple GPUs in a single server.
Are dedicated GPU servers suitable for tasks other than AI?
Yes, GPU-equipped servers also perform excellently in 3D graphics rendering, CAD/CAM projects, video processing (e.g., real-time encoding/analysis), or as remote workstations (VDI) for designers and engineers. A single machine can simultaneously serve as an AI engine and a high-performance virtual workstation for remote users.
I don’t know which GPU will be best for me. What can I do?
If you're unsure which GPU is best for your project, simply tell us what you need it for (type of application, AI models, number of users, budget). Based on that, we will choose the right GPU and server configuration so that you don’t overpay while still having enough performance headroom for future development.