ClearML, an integrated MLOps platform, has introduced features offering AI orchestration and compute management capabilities, supporting Kubernetes, Slurm, PBS, and bare metal to orchestrate AI and ML tasks effectively.

These enhancements of ClearML facilitate the automation of several manual or repetitive tasks and provide deeper control over AI infrastructure. They offer support for numerous Kubernetes counterparts and bare metal. The features include scheduling jobs based on specific times or events, allowing work to proceed automatically, granular management of compute resource allocations, and open-source fractional GPU capabilities.

The new capabilities of ClearML are built to aid in managing the complexities of deploying AI solutions across various environments such as cloud, Edge, and on-premise data centers. The improvements aim to reduce the burden of managing and controlling AI infrastructure while providing businesses convenience and efficiency in scaling their AI and machine-learning workflows.