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This demonstration showcases Nutanix Enterprise AI (NAI), a solution designed to simplify AI model deployment and management for IT administrators and developers. Laura Jordana, Director of Technical Marketing at Nutanix, walks through the NAI interface, a Kubernetes application that can be deployed across various platforms. Learn how NAI enables IT admins to provide developers with streamlined access to Large Language Models by connecting to external repositories and creating secure endpoints, allowing organizations to build AI workflows while maintaining data control. Explore the comprehensive dashboard that displays active endpoints, request metrics, and infrastructure health—essential for monitoring model usage and resource impact. The demonstration illustrates the straightforward process of importing models from repositories like Hugging Face and creating endpoints that serve as inference engine connections, with most configurations pre-filled to reduce administrative burden. Discover NAI's OpenAI compatibility for integration with existing tools, its focus on inferencing rather than model training, and how it leverages Kubernetes to run on Nutanix, EKS, and other cloud instances while providing robust API access and monitoring capabilities. Recorded live in Santa Clara, California, on April 24, 2025, as part of AI Infrastructure Field Day.
