XcellGPU | GPU Cloud

Fastest way to build, train, and deploy deep learning models

You focus on the science. We’ll handle the version control, Environments, Deployment & Infrastructure.

Bring the power of deep Learning to your data

Cloud computing has revolutionized industries by democratizing the data center for completely changing the way businesses operate. Your most important assets are now in the cloud with your preferred provider. However, to fully pull insight from that data you need the right high-performance computing solution

Bring GPU Computing to Your Data

You need to tackle the explosion of data generated every day by transnational records, sensor logs, images, videos, and more. But, half the battle is simply the transfer of your data from the cloud to a data center for the application of deep learning with GPUs. By bringing GPU-accelerated computing to the cloud, we’re bridging the gap between your massive data sets and the computing power needed to gain insights from them.

Save Money With GPU Cloud computing

You can save up to 70% by replacing hundreds of commodity CPU instances with strong nodes having up to 8 GPUs per instance. Scientific and deep learning workloads have traditionally required large expense upfront, but with pay-per-use pricing and 24/7 up-time with scalable performance you can simply pay for the usage you have today and scale as your needs grow.

Eliminate Job Queues with Automated Provisioning

Provision GPU-accelerated HPC clusters in minutes rather than days or weeks using virtual images with p reconfigured XcellHost drivers and libraries. Whether you are looking to meet all of your computing needs or enable bursting for short-term additions to peak capability, GPU cloud computing provides the required scalability.

GPU Cloud Servers Features

Benefits of Cloud GPU Solutions

Use Cases