AI Studio Platform Walkthrough: From Project Creation to Model Deployment
 

This video covers essential features of AI Studio:

Project Creation: Learn how to set up new projects with customized descriptions, tags, and privacy settings. We'll show you how to seamlessly connect to GitHub repositories for efficient code management.

Asset Management: Discover how to upload, organize, and leverage different assets within your projects, making data management intuitive and efficient.

NVIDIA NGC Model Integration: Explore the NGC catalog and see how easily you can search for and incorporate NVIDIA's GPU-optimized pre-trained models into your workflow, accelerating your development process.

Workspace Configuration: Master the creation of custom workspaces tailored to your project's computational needs, ensuring you have the right resources for your specific tasks.

Notebook Development: Experience the powerful coding environment with Jupyter notebooks, complete with pre-configured dependencies and seamless GPU integration.

MLflow Model Registry and Deployment: Learn how to register your trained models with MLflow and deploy them for production use, completing the AI development lifecycle within a single platform.

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