In an environment where international sanctions and currency volatility increasingly limit access to foreign AI infrastructure, Russian cloud services are becoming not just an alternative, but a strategic necessity. But how do you choose a provider that truly delivers 100% dedicated resources, rather than sharing GPUs among dozens of users?
In this article, we examine why hosting a GPU server in the cloud has ceased to be merely a technical option and has become a tool for reducing R&D costs, accelerating pilot projects, and launching production inference without months of waiting. You will learn how local players — in particular, immers.cloud — are responding to market challenges: from immersion cooling and NVLink configurations to ready-to-use images with vLLM and per-second billing.
If you are selecting infrastructure for neural networks — this article will help you make a decision based not on marketing, but on real capabilities.
The immers.cloud platform was created as a GPU cloud where registration speed, deployment speed, cost transparency, and stability under load come first. You can host a server in just a couple of minutes — without applications, approvals, or waiting. The service offers pay-as-you-go as well as monthly billing; you pay only for actual usage time, fully aligning with the trend toward predictable pricing and the shift from capital expenditures to operational expenses.
When hosting a cloud server, you receive a full virtual machine with exclusive, isolated access, where 100% of the GPU's power is available solely to your task. This is critical for long-running processes, whether training neural networks or running inference on large language models.
We offer one of the widest selections of GPU accelerators in Russia: 13 NVIDIA models for prototyping and content generation, as well as professional solutions like the A100 with 80 GB of memory, the H100 NVL with 94 GB, and the latest H200 with 141 GB of memory for compute-intensive workloads. Support for GPUDirect and NVLink technologies (including NV6 and NV18 topologies) accelerates data exchange between cards in two-, four-, and eight-GPU configurations, directly impacting model training and inference speed.
A key advantage of immers.cloud is immersion cooling technology. Equipment is fully submerged in a special dielectric fluid, fundamentally changing stability metrics. GPU temperatures remain minimal, eliminating overheating and throttling while reducing the maintenance frequency typical of traditional air-cooling systems. For inference workloads — where downtime or reduced clock speeds mean lost time, lost money, and higher total cost of ownership—this approach to cooling becomes a decisive factor in choosing a provider.
The market is shifting toward solutions tailored to specific use cases. To accelerate project kickoffs, immers.cloud offers virtual machines with preinstalled software. You can deploy a server with Ubuntu, Debian, or Windows Server—complete with ready-to-use drivers, CUDA, Docker containers, specialized frameworks like vLLM, and required neural network weights — in just a few clicks. This eliminates the routine of environment setup and allows engineers to focus on code, not infrastructure. Management is available via a convenient web interface in your personal account or fully automated through the OpenStack API or Terraform provider, which is ideal for DevOps and MLOps workflows.
Servers for neural networks on our platform are used not only for inference and fine-tuning models. Image and video generation, 3D rendering, scientific computations, big data processing, and even cloud gaming — all these scenarios require different balances of compute power, memory, and interconnect bandwidth. That's why we don't enforce a one-size-fits-all template; instead, we offer flexible configuration choices that can scale as your workload grows. Technical support operates 24/7, assisting with initial setup, access management, and workflow optimization.
In an environment of sanctions pressure, hosting computations within the Russian Federation is becoming the standard for enterprise clients. Russian data centers guarantee no cross-border data transfers, comply with personal data legislation, offer ruble-based pricing without hidden fees or currency risks. At the same time, immers.cloud remains on par with global counterparts thanks to GPU-optimized virtualization, modern isolation standards for virtual machines and dedicated servers, and integration with popular tools and environments.
The market continues to grow, but competition is intensifying. Winners are players who can reduce inference costs, ensure stable 24/7 operation, and offer transparent partnership terms. Hosting a server on immers.cloud means gaining access to proven infrastructure where every component — from the cooling system to the software stack — is tuned for maximum efficiency. Registration takes just a few minutes, and launching your first cloud GPU server happens immediately after account creation and balance top-up.
If your team is looking for a server for neural networks, an optimized platform for LLM inference and fine-tuning, or compute power for rendering and data analysis, immers.cloud provides everything you need in one place. Choose the GPU you need, specify your virtual machine parameters, upload your data, and start computing — without waiting or unnecessary approvals. Pay-as-you-go billing ensures you don't overpay for idle time, while ready-to-use images and AI endpoints with vLLM save hours on environment setup, testing, and monitoring.
immers.cloud — infrastructure built for real AI workloads.