Quickstart

Add and validate a model in Bud Model Hub in under 10 minutes

This quickstart walks through adding a model, validating readiness, and confirming it is discoverable for deployment workflows.

What you’ll do

1. Open the Models page.
2. Choose a model source.
3. Submit model details and metadata.
4. Verify ingestion and status.
5. Confirm model visibility in the repository.

Prerequisites

• Access to Bud AI Foundry.
• Permission to add models.
• One of the following:
  • cloud provider access,
  • Hugging Face model URI,
  • signed URL for model artifact, or
  • disk/server path for local artifact.

Step 1: Open Models

1. Sign in to Bud AI Foundry.
2. Navigate to Models from the left sidebar.
3. Confirm you can view the model repository page.

Step 2: Start onboarding

1. Click + Model.
2. Select the target modality.
3. Select a source type:
   • Cloud
   • Hugging Face
   • URL
   • Disk

Step 3: Configure model details

Provide required fields for the selected source:

• model name,
• URI or provider mapping,
• author/tags,
• modality and endpoint-related metadata.

Use clear naming and tags so teams can find the model quickly in filtered views.

Step 4: Submit and monitor status

1. Submit the onboarding form.
2. Watch progress for ingestion or linking.
3. Open model details to confirm readiness indicators.

Step 5: Validate repository presence

1. Return to the model list.
2. Search by name and verify metadata appears as expected.
3. Check recommended cluster and capability context where available.

Success criteria

The model appears in the repository list.

Metadata (name, tags, source) is correct.

Verification/security indicators are visible.

Next steps

• Continue with Creating Your First Model for an end-to-end walkthrough.
• Review Model Concepts to understand governance and lifecycle states.