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
AI/ML
LLM fine-tuning, CV model training, NLP tasks. Configurations of up to 2×A40 with NVLink for multi-GPU training.
Rendering
Blender, Unreal Engine, Arnold, Redshift — GPU rendering in the cloud without purchasing expensive hardware.
HPC
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.
Two A40 cards in one configuration are linked via NVLink for fast GPU-to-GPU data exchange in training and inference.
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.
Get a free consultation with a solutions architect. We'll help plan your migration and optimize costs.