docs: add getting-started guide and ecosystem diagram

[bergwolf]

Add a simple getting-started guide for the CNCF ModelPack Specification, detailing its purpose, ecosystem components, key benefits, and practical steps to package and deploy AI models using OCI standards.

This starts with the model CSI driver usage. More usages (like oci volume source) can be added in future PRs.

[gemini-code-assist]

Summary of Changes

Hello @bergwolf, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a foundational 'Getting Started' guide for the CNCF ModelPack Specification. The guide aims to provide a clear understanding of the specification's role in the AI/ML ecosystem and offers practical instructions for packaging and deploying AI models using OCI standards, with an initial focus on leveraging the Model CSI driver for Kubernetes integration.

Highlights

• New Getting Started Guide: A comprehensive 'getting-started.md' guide has been added to the documentation, detailing the CNCF ModelPack Specification's purpose, ecosystem, benefits, and practical usage.
• README Update: The main README.md file has been updated to include a new 'Getting Started' section with a direct link to the newly added guide.
• Ecosystem Overview: The new guide includes a high-level architecture diagram and descriptions of the ModelPack ecosystem components, covering core infrastructure, model management tools, and Kubernetes integration.
• Practical Implementation Steps: The guide provides step-by-step instructions for installing modctl and the Model CSI Driver, packaging models, and deploying them in Kubernetes using a practical YAML example.

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[gemini-code-assist]

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[sabre1041]

This is a great start. Added a number of comments

A similar walkthrough should be added to the website as that workstream evolves

[bergwolf]

@sabre1041 Updated. Please give it another spin. Thanks!

[sabre1041]

@sabre1041 Updated. Please give it another spin. Thanks!

This is really good. Thank you for not only providing updates based on the feedback, but putting together a thorough walkthrough.

I added one small comment. Once its addressed, we should be good to merge!

[bergwolf]

@sabre1041 Updated. Please take a look.

[sabre1041]

LGTM

[gaius-qi]

LGTM