Example Projects using NIM Deployments

This example project demonstrates how to build and deploy a downloadable NVIDIA NIM™ using NVIDIA AI Workbench. NIM is a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing across clouds, data centers, and workstations.

The project showcases:

• Setting up a local NIM deployment environment.

• Configuring and customizing NIM microservices.

• Managing model deployments and inference endpoints.

• Integrating NIM with existing AI workflows.

This example is particularly valuable for developers and organizations looking to:

• Deploy AI models in production environments.

• Optimize inference performance.

• Maintain consistent model serving across different platforms.

• Implement secure and scalable AI deployments.

For more information about NIM, see NVIDIA NIM Microservices for Accelerated AI Inference. For NIM developer documentation, see NVIDIA NIM (NVIDIA Docs Hub).

Example Project on GitHub	Description	Clone and Open	Support Forum
Downloadable NIM	An NVIDIA AI Workbench example project for building a downloadable NVIDIA NIM.	Open in AI Workbench	Support forum link

Next Steps

• Example Projects for Retrieval Augmented Generation (RAG)

• Example Projects for Fine-Tuning Models

• Example Projects for Data Science Workflows

• Example Projects for Blueprint Workflows