Site Admins: Add the Custom CUDA Engine to your Cloudera Machine Learning Deployment
After you create a custom CUDA-capable engine image, you must add the new engine to Cloudera Machine Learning.
You must have the Site Administrator role to perform this task.
- Sign in to Cloudera Machine Learning.
- Click Admin.
- Go to the Engines tab.
Under Engine Images, add the custom CUDA-capable engine
image created in the previous step.
This allows project administrators across the deployment to start using this engine in their jobs and sessions.
- Site administrators can also set a limit on the maximum number of GPUs that can be allocated per session or job. From the Maximum GPUs per Session/Job dropdown, select the maximum number of GPUs that can be used by an engine.
- Click Update.