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Processing compute configurations

Choose machines for ingestion and dataset onboarding.
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A processing compute configuration defines the machine used by a data-processing job. Ingestion and onboarding jobs reuse it while setting their own inputs and runtime limits. Create it before submitting either kind of job.

Before you begin

Identify the size and processing needs of your source data. The machine selector shows the processing machines available in your environment, with CPU and memory specifications.

Create a processing compute configuration

  1. Open Data Lab > Compute Configurations and select Create.
  2. Enter a Configuration name that identifies the intended processing setup.
  3. Open Machine type and search the available options. Compare the displayed CPU and memory specifications, then select a machine.
  4. Select Create. Open the saved configuration and check its name, ID, Compute type and Machine type.
FieldWhat to supply
Configuration nameA non-empty name for this reusable machine selection.
Machine typeA processing machine from the supplied list.

The compute type for this form is PROCESSING. Training uses a separate training compute configuration.

Review and reuse a configuration

In Overview, check the machine and audit information. Use Details for the underlying record and identifiers. Select the saved configuration in the compute field of an ingestion or onboarding job.

Set the runtime on each job: ingestion uses seconds, while onboarding uses minutes. Creating a compute configuration saves a machine selection; it does not run a processing job.

Rename or replace a configuration

Open the saved record and select Edit to change Configuration name, then save. Compute type and machine type are read-only on the edit form. Create another configuration when you need a different machine, and select it for the next job.

Use Delete on a configuration only after checking that it is no longer needed. Review the confirmation before removing the record.

Next steps

Prepare a data schema, then run ingestion.