GPU Servers for AI & ML

The only GPU computing provider in Uzbekistan. NVIDIA A40 with 48 GB VRAM — train neural networks, render graphics, and run HPC workloads in a sovereign cloud.

Calculate cost
48 GB
VRAM per GPU
CUDA 12
CUDA Version
Up to 2×
GPUs per configuration

Trusted by market leaders in Uzbekistan

UZPOSTFreedom PayAloqabankApexbankNMMCUniversalbankTenge BankAlifGoSafiaМинздравTok BorUZPOSTFreedom PayAloqabankApexbankNMMCUniversalbankTenge BankAlifGoSafiaМинздравTok Bor

Cost Calculator

Select the number of GPUs and additional storage

Number of GPUs (NVIDIA A40)1 GPU
Each GPU includes:
48 GB VRAM52 vCPU112 GB RAMCUDA 121 IP per 2 GPUs
Additional SSDnot selected
0 GB4,000 GB
GPU VRAM
48 GB
vCPU
52
RAM
112 GB
IP
1
Monthly cost incl. VAT
19,700,000 UZS
≈ 27,362 UZS / hour
1× NVIDIA A4019,700,000
Total incl. VAT19,700,000 UZS
* Prices are approximate. Current GPU pricing — available upon request.

Use Cases for GPU Computing

Neural Network Training (ML/AI)

Accelerate model training and run inference within a secure perimeter.

3D Rendering & Animation

Work with Octane, Redshift, and V-Ray without purchasing local workstations.

Video Analytics & Transcoding

Process video streams in real time using hardware acceleration.

Scientific Computing

Parallel computing, simulation, and CUDA application workloads.

Who it's for

Neural Network Training

AI/ML

LLM fine-tuning, CV model training, NLP tasks. Configurations of up to 2×A40 with NVLink for multi-GPU training.

3D & Video Rendering

Rendering

Blender, Unreal Engine, Arnold, Redshift — GPU rendering in the cloud without purchasing expensive hardware.

Scientific Computing

HPC

Molecular dynamics, financial modeling, seismic analysis. CUDA acceleration reduces computation time by orders of magnitude.

Technical Advantages of GPU Cloud

NVIDIA Performance

NVIDIA Performance

Leverage up-to-date server-grade graphics accelerators with Tensor and RT core support.

Resource Scalability

Resource Scalability

Flexibly adjust the number of GPUs, VRAM capacity, and CPU/RAM resources to match your project needs.

Local Access & Low Latency

Local Access & Low Latency

Infrastructure located in Tashkent ensures maximum data processing speed within the country.

Pre-configured Software Environments

Pre-configured Software Environments

Support for popular frameworks like TensorFlow, PyTorch, and Docker containers for a quick start.

Data Stays in Uzbekistan

Data Stays in Uzbekistan

Proprietary models and datasets never leave the country. Full compliance with regulatory requirements and ZRU-547.

NVLink GPU pairing

NVLink GPU pairing

Two A40 cards in one configuration are linked via NVLink for fast GPU-to-GPU data exchange in training and inference.

Frequently asked questions

Find answers to common questions about our services.

The service currently offers server-class NVIDIA A40 accelerators with 48 GB of video memory (VRAM), optimized for computation and AI workloads. Configurations come with 1 or 2 GPUs (two cards linked via NVLink).

The entire compute cluster is hosted at the UzCloud data center in Tashkent, ensuring operation within the TAS-IX network with no external latency.

Yes, the resources fully support popular rendering engines and graphics software that requires CUDA or hardware acceleration.

You get a virtual machine with a GPU, the operating system of your choice and full access. You install NVIDIA drivers, CUDA and the libraries you need yourself, in the versions your stack requires.

Related services

Ready to migrate to UzCloud?

Get a free consultation with a solutions architect. We'll help plan your migration and optimize costs.

Fill out the form

By submitting this form, you agree to our personal data processing policy.