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Cloudera Machine Learning now supports adding or replacing GPUs in CML Workspaces

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Data scientists on CML Workspaces have access to GPUs to accelerate their machine learning projects and reduce the time it takes to build and train predictive models. NVIDIA GPU nodes are available for administrators to configure for CML Workspaces in both AWS and Azure.


CML now supports adding new GPU nodes to existing CML Workspaces created without GPUs, so data scientists can access GPU acceleration without having to recreate CML Workspaces. Administrators can also replace GPU nodes in CML Workspaces to switch to the latest generation GPUs.

Screenshot 2022-06-14 at 10.25.41.png

With these new capabilities, it's easier for administrators to manage GPU nodes in CML Workspaces and enable data scientists to use the newest generation of GPUs.