Virtual and dedicated servers with GPU in Uzbekistan

You can choose a ready-made configuration or build your own server with the help of our specialists. After selecting the configuration, you will get access to the server via a standard RDP client or noVNC.

Our support service is available 24/7. You can contact us via the telegram bot @PRO_DATA_Support_Bot or by phone at +998712032300.
GPU cards significantly accelerate parallel computing. Their scope of application has long gone beyond graphics processing — they are ideal for tasks that require simultaneous processing of a large number of processes: neural network training, big data analytics, 3D rendering, financial modeling, and much more. At a professional level, this is called parallel computing, or CUDA computing, after a technology developed by NVIDIA.

The server rental cost depends on the selected configuration and usage time. Detailed information about tariffs can be found on our website or by contacting our sales department.

We use advanced data protection methods, including RAID 10, modern software and hardware firewalls, and regular security updates.

Dedicated servers with GPU are the ultimate solution for tasks that require enormous computing power.
The main use cases are:
Visualization — video rendering, 3D graphics and design.
AI & ML— machine learning and the development of AI models.
Analytics — ultra-fast Big Data processing.
Computing is high-performance systems (HPC) of any scale.
Remote access — powerful VDI solutions for architects and engineers.
Using a GPU can significantly reduce data processing and model training time.

Popular operating systems are available for GPU servers in the Pro-Data cloud:
- Ubuntu
- Debian
- CentOS and other distributions
- LinuxWindows Server
You can use ready-made images or install your own OS.

Virtual servers with GPU in Kazakhstan offer high performance, especially for tasks requiring parallel data processing. This can significantly reduce the execution time of computational tasks and improve overall work efficiency.

On our cloud platform, there is no option to install your own graphics card. However, in the future, if we offer dedicated server services with GPU, we will be able to consider this possibility.

Currently, one graphics card can be installed per cloud server.

One graphics card cannot be used simultaneously by multiple users. The resources of the graphics card are not shared between users, so it will only work for one user at a specific moment in time.

Modern graphics accelerators are available in the Pro-Data cloud infrastructure:
H100 — for generative AI and high-performance computing
RTX pro 6000 — для графики, визуализации и вычислений
A100 — for training large AI models
V100 — for machine learning and data analysis
L40S — for AI computing and graphics
You can choose a multi-GPU configuration on a single server.

The cost of renting a GPU server depends on the video card model, the number of GPUs and the configuration of the virtual machine.
There are two payment options available at Pro-Data:
- hourly pay for resources actually used
- fixed cost when renting resources for a selected period
A ltv demo access is also available to evaluate infrastructure performance before launching the project.

Yes. The Pro-Data cloud infrastructure allows you to quickly scale computing resources:
increase the number of GPUs, switch to other GPU cards, processor cores, RAM and disk space.
This is useful for projects where the computational load may increase over time. GPU servers in the cloud can be scaled horizontally (adding nodes/maps) and vertically (increasing power).