Trusted by market leaders in Uzbekistan
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.
Trusted by market leaders in Uzbekistan
Select the number of GPUs and additional storage
Accelerate model training and run inference within a secure perimeter.
Work with Octane, Redshift, and V-Ray without purchasing local workstations.
Process video streams in real time using hardware acceleration.
Parallel computing, simulation, and CUDA application workloads.
LLM fine-tuning, CV model training, NLP tasks. Multi-GPU configurations up to 8×A40 for distributed training.
Blender, Unreal Engine, Arnold, Redshift — GPU rendering in the cloud without purchasing expensive hardware.
Molecular dynamics, financial modeling, seismic analysis. CUDA acceleration reduces computation time by orders of magnitude.
Leverage up-to-date server-grade graphics accelerators with Tensor and RT core support.
Flexibly adjust the number of GPUs, VRAM capacity, and CPU/RAM resources to match your project needs.
Infrastructure located in Tashkent ensures maximum data processing speed within the country.
Support for popular frameworks like TensorFlow, PyTorch, and Docker containers for a quick start.
Proprietary models and datasets never leave the country. Full compliance with regulatory requirements and ZRU-547.
GPU nodes interconnected via NVLink and InfiniBand. Scale distributed training across multiple servers.
| Configuration | GPU | VRAM | vCPU | RAM | Price/mo |
|---|---|---|---|---|---|
| GPU Basic | 1× A40 | 48 GB | 16 | 64 GB | 4,878,000 UZS |
| GPU Medium | 2× A40 | 96 GB | 32 | 128 GB | 9,756,000 UZS |
| GPU Pro | 4× A40 | 192 GB | 64 | 256 GB | 19,512,000 UZS |
| GPU Max | 8× A40 | 384 GB | 96 | 512 GB | on request |
Choose the right GPU for your workload — from inference to heavy training.
Dedicated resources with no interference from other platform users.
Attach high-speed NVMe drives for fast dataset processing.
Manage resources and integrate into your existing development pipelines.
We provide access to modern server-class NVIDIA accelerators optimized for computation and AI workloads. The current list of models is available when selecting a configuration.
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.
Our specialists provide base images with pre-installed drivers and popular libraries (CUDA, cuDNN) so you can start working immediately after server deployment.
Get a free consultation with a solutions architect. We'll help plan your migration and optimize costs.