The Clusterone Deep Learning Platform

Created by Data Scientists for Data Scientists

Deep learning scientists are rare and can be difficult to recruit. So when an organisation succeeds in assembling a team of them, the prime goals should be to keep them productive and motivated. Yet because their teams are small, they often get overlooked when it comes to technical help in setting up the optimal infrastructure for their work. Clusterone - created by deep learning scientists for deep learning scientists—takes the pain and lost time out of provisioning resources, deploying clusters, creating orchestrations, and managing projects. Clusterone helps organizations maximize the efficiency of their deep learning scientists, while at the same time enhancing satisfaction of these scientists by off-loading tedious, but essential tasks.

Clusterone helps organizations to get the maximum value from their hardware resources. Clusterone’s Elastic GPU Scheduler detects unused processors and makes them available to others on the team when working with on-premises boxes. When working in the cloud, Clusterone’s dynamic scheduling and auto-scaling can spin up and spin down resources - this means scientists always have the resources their work requires without incurring billing for idle hardware instances.