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Cloud servers

Cloud servers with per-second billing. Isolated resources will give maximum performance for your project.

GPU servers

Cloud servers with modern RTX and Tesla graphics accelerators for games, rendering, streaming, working with 3D graphics, and artificial intelligence.

Tesla H100

RTX 4090

RTX 3090

RTX 3080

Tesla A100

RTX A5000

Tesla A10

RTX 2080 Ti

Tesla A2

Tesla T4

Tesla V100

All GPU servers

CPU servers

The cloud servers with high-performance Intel Xeon Gold 2nd and 3rd generation CPU are available for 100% of the processor time.
SSD servers NVMe servers
All CPU servers

Dedicated servers

Rent a physically dedicated server for a long term with a monthly payment. Configure it using modern components: Intel Xeon Gold 2nd and 3rd generation processors, up to 10 of the latest RTX and Tesla video accelerators, and up to 8192 GB of RAM per server, SSD and NVMe disks for data centers.

Select a dedicated server

Marketplace

Use popular and modern applications as effective tools for organizing your project. Save time with pre-configured images that already have all the necessary components installed.

Forget about manually downloading and installing the software — just deploy a virtual server with a ready-made image.
Neural networks 3D CUDA Docker / NGC For games Windows images Linux images
All pre-installed images
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After installing NVIDIA drivers I can not find the files libnvcuvid.so or libnvidia-encode.so. What should I do?

Install NVIDIA drivers from the official archive:

wget http://us.download.nvidia.com/XFree86/Linux-x86_64/440.64/NVIDIA-Linux-x86_64-440.64.run
chmod +x NVIDIA-Linux-x86_64-440.64.run
sudo ./NVIDIA-Linux-x86_64-440.64.run

or use images with the drivers installed: Ubuntu 16.04.6 or Ubuntu 18.04.4 with CUDA.

Updated Date 28.04.2020