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ClearML launches orchestration and scheduling capabilities to manage GPU compute resources
Machine Learning Infrastructure
Oct 16, 2023
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Machine Learning Infrastructure

Machine Learning Infrastructure

Oct 16, 2023

ClearML launches orchestration and scheduling capabilities to manage GPU compute resources

Product updates

  • ClearML, an integrated MLOps platform, has launched new capabilities for managing and scheduling GPU compute resources, regardless of whether the application is deployed on-premise, in the cloud, or via hybrid.

  • Its key features include an Enterprise Cost Management Center that shows DevOps and ML engineers everything that is related to GPU clusters, allowing them a better approach to managing job scheduling, fractional GPU allocation and utilization, and determining project quotas.

  • In addition, the company is set to release new web app capabilities that will allow data scientists to build up a safe Jupyter Lab or VS Code IDE right in a secure ClearML UI browser window, making it easier for data scientists to work remotely securely and seamlessly. 

  • Established in 2016 and based in Israel, ClearML provides an open-source platform that supports the entire ML lifecycle. Currently, the platform is utilized by over 1,300 enterprises, encompassing 150,000 data scientists.

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