Clusterone enables deep learning teams to be efficient through faster model training and automated workflows. It provides distributed training management, advanced cloud resources orchestration and productivity tools. Deep learning scientists and engineers can be productive from Day 1, and spend time on modelling, not setup and DevOps.
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Clusterone runs on top of any infrastructure: in the cloud (AWS, GCP, Azure), on-premise, or both. Its advanced resource orchestration and scheduling makes sure that teams get the better dollar value for their experiments. Clusterone can meet strict privacy requirements such as HIPAA compliance. Read our Business White Paper
Our deep learning infrastructure is powered by Clusterone, which is essential in enabling us to meet the computational demands required for training complex neural networks with terabytes of sequencing data.Kyle ChipmanDeep learning manager in Roche Sequencing
Doc.ai uses Clusterone to build and manage a scalable infrastructure, enabling a large number of data scientists to run concurrent experiments. This would have been a multi-month project in house” Akshay Sharma, VP Engineering, doc.ai.Akshay SharmaVP Engineering