Virtual and dedicated servers with GPU in Uzbekistan

Virtual and dedicated servers for rent with NVIDIA® TESLA® H100, NVIDIA® A100, NVIDIA® A40, NVIDIA® L40S, NVIDIA® TESLA V100 graphics adapters.

Training artificial intelligence models
Intensive computational tasks
Big data processing
Access from 3 working days
3D rendering

Calculate the cost for ML/AI

The cost of renting virtual and dedicated servers with GPU

Providing access from 10 minutes to 5-30 days

NVIDIA® TESLA® H100 (96 GB)

57 450 000 soums

24 vCPU
64 Gb RAM
1024 Gb SSD
100 Mbit/s on the Internet
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NVIDIA® TESLA® A100 (80 GB)

42 495 000 soums

20 vCPU
64 Gb RAM
1024 Gb SSD
100 Mbit/s on the Internet
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NVIDIA® TESLA® L40S (48GB)

25 265 500 sum

18 vCPU
64 Gb RAM
512 Gb SSD
100 Mbit/s on the Internet
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NVIDIA® TESLA®
A40 (48GB)

23 362 000 sum

18 vCPU
64 Gb RAM
512 GB SSD
100 Mbit/s on the Internet
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NVIDIA® TESLA® V100 (32 GB)

17 042 000 soums

16 vCPU
32 Gb RAM
512 Gb SSD
100 Mbit/s on the Internet
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The price includes:

— Installing the OS package and applications using the Bring Your Own License (BYOL) model,
— Providing an IP address,
— Local technical support 24/7/365,
— Replacement of components: PSU, coolers, disks, RAM - from a warehouse in Tashkent without payment.

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Using NVIDIA® graphics cards
TESLA® A100 in various industries

Machine learning

A100 is used for training neural networks in AI frameworks (TensorFlow, PyTorch, JAX, etc.), inference — the accelerated execution of ready-made models (GPT, BERT, DALL·E, Stable Diffusion, etc.) when generating text or images.

Scientific research

Tesla A100 is used in bioinformatics for protein modeling, drug search and DNA simulation, and in physics and chemistry for quantum calculations, molecular dynamics and materials modeling.

Data analytics

The A100 is used in GPU-accelerated databases (OmniSCI, BlazingSQL, RAPIDS), where billions of records are processed in milliseconds, as well as in financial analysis, demand forecasting, and risk modeling.

Rendering and 3D

It is used for rendering video and 3D graphics in tools like NVIDIA OptiX, Blender, Autodesk and Unreal Engine, as well as for video analytics and object recognition in industry and security systems.

Test power

Use of NVIDIA® A40 graphics cards
in various industries

Virtual workstations (vGPUs)

It provides remote access to CAD/BIM and highly responsive graphics applications.

Rendering and visualization

Speeds up photorealistic scenes, lighting, and animation for movies and commercials.

AI inference and data analytics

It improves the speed of image recognition, speech and text processing.

Video editing and transcoding

Simultaneously encodes and decodes video, reducing material processing time.

Use of NVIDIA® L40S graphics cards
in various industries

Generative AI
and inference

L40S speeds up chatbots, search and image creation, ensuring fast services in real time.

Graphic design
and 3D modeling

Suitable for rendering, animation, and complex scenes in Blender, Autodesk Maya, and 3ds Max.

Video editing and post-production

It provides fast export, color correction and work with multiple video streams.

Digital twins
and simulations

It is used for large 3D scenes, visualizing objects and simulating workflows.

Using NVIDIA® graphics cards
TESLA® V100 in various industries

AI training

The V100 is used to train complex neural networks, which significantly reduces model training time.

AI inference

It provides high performance for inference tasks such as speech recognition and natural language processing.

Powerful computing

It is used for scientific research, such as weather forecasting, drug development and the search for energy sources.

Data science

It accelerates the analysis of large amounts of data, which allows you to get insights and make decisions faster.

Speed up GPU computing

Why choose GPU Servers
Pro-Data in Uzbekistan?

High performance

Virtual servers with video cards provide high performance when performing resource-intensive tasks. They are suitable for rendering, working with AI, modeling and video editing. This approach allows you to use powerful GPUs without spending on physical infrastructure.

Flexibility

GPU virtual servers provide excellent flexibility, making it easy to scale computing power depending on your needs. They're great for a variety of tasks, including AI training, big data processing, and high-performance computing.

Speeding up work

Fast transfer of access to virtual servers with GPU due to simplified access to resources, process automation and centralized management.

Economic efficiency

Getting access to a virtual server with a video adapter only for the duration of its use and without the need to purchase physical equipment.

Answers to frequently asked questions

Here are answers to frequently asked questions we receive from our current and potential customers.

How do I rent a GPU cloud server?

How can I get technical support?

What are the rates and payment terms?

How is data secure on your servers?

How do I choose the right GPU server for my needs?

What are the benefits of using a virtual server with a GPU?

Is it possible to put the customer's own video card into the server?

How many GPU cards can be installed on one server?

Can the same video card be used by more than one user?