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.

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

• 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