Virtual machines with graphics accelerators for machine learning tasks, as well as for visualization, 3D modeling, and video processing, with hourly billing and no need to purchase expensive equipment.
vGPU virtual machines run on the Elastic Cloud platform
Fault-tolerant infrastructure
SSD storage
Resource isolation
Internet 100Mbps
NVIDIA GPU Support
vGPU delivers high performance for graphics, ML, and video workloads. It supports CUDA, RTX, and hardware acceleration.
It takes 5-7 minutes to create a virtual machine with a GPU. You choose the CPU, RAM, and GPU configuration, and the system automatically places the virtual machine on the optimal node.
Create snapshots before updates and roll back quickly if necessary.
Built-in DR backup service. Choose the desired storage period: from 2 to 30 days.
Migration to Cloupard
Want to move your project to the cloud? We’ll make the migration painless. We’ll move your infrastructure, configure the environment, and verify that everything works as expected. You can continue working while we take care of the migration.
Yes. Virtual machines with vGPU provide high performance during model training and inference, and also allow processing large volumes of data.
The cost depends on the CPU, RAM, and GPU configuration and is calculated using the calculator.
You can deploy a virtual machine running Linux or Windows. Both platforms fully support NVIDIA drivers and tools for working with GPUs.
Yes. Configurations with the RTX A4000 are ideal for designers, engineers, and architects who work with 3D graphics, modeling, and visualization.
Virtual machines can be created, configured, and managed via the management console.
Yes. Virtual machines support connectivity via corporate VPN, Active Directory, and internal cloud networks, which ensures secure integration with the company’s infrastructure.
NVIDIA RTX A6000, V100, and other GPUs are available on request.