# AI2.1 Hosting AI Models

This skill focuses on strategies and technologies for deploying and serving AI models in high-performance and hybrid computing environments. It includes model packaging, service interfaces, containerization, and compatibility with HPC infrastructure.

## Requirements

* External: Familiarity with model training and inference concepts
* Internal: None

## Learning Outcomes

* Compare different approaches for deploying AI models in HPC, cloud, and hybrid environments.
* Describe the role of containers (e.g., Docker, Singularity) in hosting AI models.
* Identify tools and frameworks used for serving models (e.g., TorchServe, Triton Inference Server).
* Explain compatibility issues and solutions for model execution on HPC systems.
* Demonstrate how to expose AI models as services or endpoints for internal or external access.

** Caution: All text is AI generated **