HP AI Studio is a powerful platform designed for building and deploying machine learning and AI models. It offers a robust environment for AI creation, research, experimentation, and prototyping. With HP AI Studio, users can create customized workspaces, containerize tools, and ensure consistency across development environments.
- AI Creation: For creators developing and researching AI models.
- AI Development: For developers working on AI projects and transferring learning.
- AI Usage: For users applying AI models for inference and other tasks.
- Standardization: Simplify and standardize the use of GPUs and local compute resources, making it easier to manage multiple devices.
- Centralized Management: Keep all data, teammates, notebooks, metrics, and artifacts in one place to avoid rework and streamline processes.
- Project Metadata: Share project metadata to ensure containers can be rebuilt on different machines, with synchronization to GitHub for code management.
- Accelerated Development: Speed up local model development with a consistent and efficient environment.
- Install HP AI Studio: Follow the Installation and Setup guide to get HP AI Studio up and running.
- Create a Workspace: Set up a customized workspace for your projects.
- Containerize Tools: Learn how to containerize your tools and environments to ensure consistency.
- Manage Projects: Use the platform to manage project metadata, sync with GitHub, and avoid rework.
https://github.com/passarel/aistudio-ds-experiments
HP AI Studio overview video step by step guide through the features and capabilitie in the platform, and showcase how to create projects, test, and deploy AI models.
https://community.datascience.hp.com/z-by-hp-ai-studio-early-access-program-73/ai-studio-overview-video-163?postid=243#post243

https://mlflow.org/docs/latest/introduction/index.html#
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