Ashwini Vasanth presented Nutanix Enterprise AI, which simplifies the complexities of adopting and deploying GenAI models and addresses common customer challenges. The product, launched in November 2024, focuses on providing a curated and validated approach to model selection, deployment, and security. The presentation highlighted the “cold start” problem, acknowledging the overwhelming number of available models and the need for a user-friendly starting point for IT or AI admins.
Nutanix Enterprise AI offers a curated list of validated models through partnerships with Hugging Face and NVIDIA to address these challenges, providing a "small, medium, and large" selection. This approach aims to simplify model selection and ensure reliable operation. Additionally, the platform handles GPU selection, inference engine choices, and security complexities, incorporating dynamic endpoint creation to streamline the deployment process. Key to Nutanix's offering is the integrated security, where Nutanix security experts perform scans for vulnerabilities, eliminating the need for customers to manage their security efforts.
Beyond the mechanics of model deployment, Vasanth discussed the need for on-premises deployment, choice of environments, and addressing the "shadow IT" problem through centralized resource management and monitoring dashboards. The presentation underscored Nutanix's strategic move into the AI space, leveraging its existing infrastructure expertise, including its Kubernetes platform, storage solutions, and the core principles of simplifying infrastructure. The company's approach has evolved from a solutions-based offering to a full-fledged product based on the need for a pre-integrated AI platform.
Presented by Ashwini Vasanth, Principal Product Manager, Nutanix. Recorded live in Santa Clara, California, on April 24, 2025, as part of AI Infrastructure Field Day. Watch the entire presentation at https://techfieldday.com/appearance/nutanix-presents-at-ai-infrastructure-field-day-2/ or https://techfieldday.com/event/aiifd2/ for more information.
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