GPU virtual machines with dedicated NVIDIA H200, H100, A100, L40S and RTX PRO 6000 GPUs in Uzbekistan. Configured for model training, inference and other GPU workloads, with SSH access.
Five lineups — from the H200 with 141 GB HBM3e to the RTX PRO 6000 Blackwell SE.
| GPU | Memory | Best for |
|---|---|---|
| H200 | 141 GB HBM3e | LLM training and inference |
| H100 | 80 GB HBM3 | Large-model training |
| A100 | 80 GB HBM2e | Computer vision, ML |
| L40S | 48 GB GDDR6X | Inference, rendering |
| RTX PRO 6000 | 96 GB GDDR7 | 3D, rendering, inference |
From model training to production inference — powerful infrastructure, ready to go.
H200, H100, A100, L40S, RTX PRO 6000 — from large-scale training to production inference. Up to 141 GB HBM3e per GPU.
Redundant power and cooling, maintenance without downtime. Every machine sits inside Uzbekistan.
Capacity is reserved for you: no noisy neighbours, no preemption.
Data isolation, firewalling, encrypted traffic and two-factor authentication.
Our engineers are reachable around the clock, at every stage of your work.
A ready environment with drivers, CUDA Toolkit and ML frameworks preinstalled.
Supermicro servers with the latest generation of NVIDIA GPUs — H200, H100, A100, L40S, RTX PRO 6000 — in a Tier III datacenter in Tashkent.
Server platforms optimised for GPU computing, with advanced cooling and power delivery.
A preinstalled CUDA environment with every driver and library. Start building GPU applications the moment your instance boots.
Fully configured, GPU-accelerated PyTorch environments. Train at full throughput from the first minute.
From training an LLM to 3D rendering — infrastructure that keeps up.
Fine-tune and train large language models on clusters with HBM3e memory.
H200 / H100Detection, segmentation and image classification, GPU-accelerated in real time.
A100 / L40SDeploy and serve language models for text processing, summarisation and dialogue systems.
A100 / RTX PRO 6000Low-latency production deployment of ML models, scaling automatically with load.
L40S / RTX PRO 6000Molecular dynamics, climate modelling and large-scale data analysis.
H200 / A100GPU rendering, generative design and hardware-accelerated 3D scene processing.
RTX PRO 6000 / L40SWe work with companies and set the accounts up ourselves — you get a configured environment from day one.
Tell us the workload: which models, how much capacity, and for how long.
We size the GPUs and the environment, and agree the term and conditions.
We deploy the environment and hand over SSH access. You work; we look after the infrastructure.
NVIDIA H200 (141 GB HBM3e), H100 (80 GB HBM3), A100 (80 GB HBM2e), L40S (48 GB GDDR6X) and RTX PRO 6000 (96 GB GDDR7).
Send us your workload, preferred GPUs and term. We size the configuration, agree the contract, deploy the environment and provide SSH access.
Pricing depends on the GPU model and quantity, server configuration and rental term. We prepare a configuration and quote after reviewing the workload.
In a Tier III datacenter in Tashkent, Uzbekistan. Data stays in the country, and latency for users inside Uzbekistan is under 5 ms.
We work on contract, with a one-month minimum. Pricing depends on the configuration and the term; usage statistics are available in the panel.
NVIDIA drivers, CUDA Toolkit 12.x, PyTorch 2.x, TensorFlow and Docker. Access over SSH or VPN, with Kubernetes supported.
We install the hypervisor and our control panel on servers you bought — and operate them for you if you want.