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Compute resource options for Deep Learning experiments
Compute resource options for Deep Learning experiments

Compute resource options for Deep Learning experiments

When you run a Deep Learning experiment in a project, you choose the type, size, and power of the hardware configuration for your experiment.

Default hardware configurations

Choose from a default hardware configuration for your Deep Learning experiment.

Hardware configurations available in projects for Deep Learning experiments
Capacity type Capacity units per hour
1 (one) NVIDIA K80 GPU 2
1 (one) NVIDIA V100 GPU 8

The runtimes for Deep Learning stop automatically when processing is complete.

Compute usage in projects

Deep Learning experiments consume compute resources as CUH from the Watson Machine Learning service.

You can monitor the total monthly amount of CUH consumption for the Watson Machine Learning service on the Environments page.

Learn more

Parent topic: Choosing compute resources for tools

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