NeMo microservices are part of Nvidia's AI Enterprise suite and enable developers to build AI agents that can integrate with existing applications and services to automate tasks. The components include NeMo Curator for data gathering, NeMo Customizer for model training, NeMo Evaluator to check model improvement, and NeMo Guardrails to prevent safety and security issues. According to Joey Conway, Nvidia's senior director of generative AI software for enterprise, NeMo microservices work in a circular pipeline, using new data and user feedback to improve the AI model, which is then redeployed. Conway described NeMo microservices as "essentially like a Docker container," with orchestration relying on Kubernetes.