What is immers.cloud

immers.cloud is a cloud GPU platform that lets you host virtual servers equipped with powerful NVIDIA GPUs: ideal for everything from cloud gaming and 3D rendering to machine learning and running large language and generative AI models.

We offer pay-as-you-go-billing, meaning you pay only for the exact time your cloud server is running.

The sign-up process takes seconds: no long forms, no approvals, no waiting. Create your first GPU instance and start working within minutes of registration.

Our cloud GPU servers are used for:

  • AI and neural network training;
  • Machine learning research and scientific computing;
  • 3D animation and visual effects rendering;
  • High-end cloud gaming;
  • Large-scale data and video processing.

When you host a GPU server, you get full, dedicated access to the hardware. Everything is managed through an intuitive web dashboard or via OpenStack API.

The largest selection of cloud GPUs in Russia

immers.cloud offers the widest range of cloud graphics cards in Russia —13 NVIDIA RTX and Tesla models, including high-performance GPUs like the NVIDIA H100 and A100 with 80 GB of memory, support for GPUDirect and NVLink technologies, as well as the latest H200. This enables faster computation and handling of larger datasets.

We were the first company in Russia to implement virtualization technology for these GPUs, making server rental in our data center even more flexible and accessible.

Our technical support team is available 24/7 to assist with any technical issues.

Ready-to-Use Images and Full Control

To accelerate your workflow, we provide virtual machines with preinstalled software: Ubuntu, Windows Server, CUDA, Docker, vLLM, and more. You can deploy a cloud GPU server with your preferred OS and software stack in just a few clicks.

About Immersion Cooling

A defining feature of immers.cloud is the use of immersion cooling—a server cooling technology where hardware is fully submerged in a dielectric fluid, delivering:

  • Higher performance: Minimal GPU temperatures prevent overheating and thermal throttling;
  • Enhanced stability: Elimination of overheating, electrostatic discharge, and vibration extends uninterrupted server or VM uptime;
  • Energy efficiency: Reduced power consumption for cooling makes the service cost-effective and environmentally sustainable;
  • Extended hardware lifespan: Lower and stable operating temperatures reduce component wear.

Thanks to immersion cooling, immers.cloud ensures consistent high performance—critical for long-running, resource-intensive tasks such as neural network training and inference.

Updated Date 12.02.2026