Day 2 Operations for AI Blueprints in VCF Automation

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⚡ TL;DR

Overview Editing a Blueprint in VCF Automation Blueprint Layout cloudInit and the dl_app. sh script Working with variables Testing a template Working in the deployed DLVM Editing a Form Publishing to the Catalog Overall Recommendations Resources Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Building the Foundation for Private AI: Why Data Sovereignty Matters Day 2 Operations for AI Blueprints in VCF Automation Announcing the General Availability of Holodeck 9.0.2 This is part three of six in a multi-blog series providing a practitioner’s guide to VMware Private AI Foundation with NVIDIA.

📝 Summary

Overview Editing a Blueprint in VCF Automation Blueprint Layout cloudInit and the dl_app. sh script Working with variables Testing a template Working in the deployed DLVM Editing a Form Publishing to the Catalog Overall Recommendations Resources Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Building the Foundation for Private AI: Why Data Sovereignty Matters Day 2 Operations for AI Blueprints in VCF Automation Announcing the General Availability of Holodeck 9.0.2 This is part three of six in a multi-blog series providing a practitioner’s guide to VMware Private AI Foundation with NVIDIA. Most customers will want to customize the provided blueprints to meet their specific business requirements. This could be as simple as swapping out a specific NIM for a newer one, or maybe updating the LLM being deployed. It could also mean creating something significantly different. The possibilities are endless, but to get you started, here are some basics to consider. You will edit a blueprint under the Build & Deploy | Content Hub | Blueprint Design area in VCF Automation. This will display a basic UI of the blueprint’s major components. Clicking one takes you to that section and is helpful for navigation, especially when working with more complex templates. The right side shows the code for the template. This will be a combination of settings, variables, and code that will be executed in the Deep Learning VM (DLVM) once it is deployed. There are numerous developments in this area, so let us break down a few key areas and concepts for you.