Platform Access for Computing
NVidia® GTX 1080 GPU
Used as the dedicated PCI device within the virtual machine. This allows for using all the GPU power and resources.
- CUDA Cores — 2560,
- 8 GB GDDR5X,
- Price per GPU:
Virtual Machines in the Cloud
- Intel® Xeon® 2680v4 CPUs,
- 32 to 128 GB DDR4 RAM,
- SSD NVME.
Solve Complex Problems Faster
GPU is perfect for working with neural networks and deep learning. They facilitate image classification, speech recognition, and big data processing.
Design & Graphics
GPUs boost 3D modeling, video processing, online effect application, and increase the rendering speed manyfold.
High-Performance Computing (HPC)
Engage the GPU in complex computing— e.g. financial analytics, physical process evaluation, and design. Shrink the time to result.
Get on the New Performance Level
Reduce Computing Time
Enhance the performance of your resources: deploy GPU-powered cloud servers within minutes and boost resource-intensive computing.
Pay for Cloud-Based Resources As You Go
Choose the most preferable server configuration and GPU and pay for it only when you need it.
If the task requires more resources, scale your power up in the Selectel control panel.