Summary
Cloudera AI provides a centralized dashboard to monitor and manage Cloudera AI resources across your environment. This platform helps you monitor the summary of specific workbench and AI workloads.
The workbench table provides detailed status for each active process.
| Column | Description |
|---|---|
| Workbench Name | Name of the AI Workbench |
| Environment Name | Name of the environment |
| Memory | Memory allocated to the workbench |
| Cores CPU | CPU cores allocated to the workbench |
| Nodes | Displays the number of nodes available |
Resource utilization across workbenches
- Memory - Displays the memory usage in GiB.
- CPU - Displays the CPU usage in %.
- GPU - Displays the GPU usage in %.
- Busyness Activity - A line chart displays the average consumption of resources for the selected workbench, illustrated as a percentage. This metric indicates whether you over-allocate or under-allocate resources to the selected workbench.
- Network input and output - Displays the duration and volume of data sent and received over the network during processing.
- Data Read and Write - Indicates the time and volume of data read from and written to the engine's storage.
