Profile bundles are reusable bundles that package infrastructure and application configurations for consistent, repeatable deployments across compute pools. You can create profile bundles through the PaletteAI User Interface (UI) or import them from Palette AI Studio using the PaletteAI CLI.
Workload profiles are reusable templates that define how an application should be configured, decoupling the modeling and deployment phases of the application lifecycle. You build workload profiles from definitions (components, traits, and policies) and use them when creating profile bundles and deploying applications and models with those profile bundles.
Profile Bundles package infrastructure and application configurations for consistent, repeatable deployments across Compute Pools. Define the configuration once in a Profile Bundle and then reuse it where needed instead of manually configuring each deployment's software components.
A Workload represents an application or task that runs on your infrastructure. PaletteAI creates Workloads from AIWorkload resources by using three building blocks called Definitions: