Nutanix announces latest Enterprise AI version with NVIDIA integration

Integration with NVIDIA Artificial Intelligence (AI) Enterprise adds new capabilities to accelerate the adoption of production agentic workloads in the Enterprise.

Nutanix has announced the General Availability (GA) of the latest version of its Nutanix Enterprise AI (NAI) solution, which features deeper integration with NVIDIA AI Enterprise, incorporating NVIDIA NIM microservices and the NVIDIA NeMo framework. This integration is designed to facilitate the deployment of agentic AI applications across various Enterprise environments.

NAI aims to accelerate the adoption of Generative AI (GenAI) by simplifying how customers build, run, and manage models and inferencing services across edge devices, data center, and public clouds within a Cloud Native Computing Foundation (CNCF)-certified Kubernetes environment.

The new NAI release extends a shared model service methodology that streamlines deployment processes for agentic workflows, enabling easier management of resources and models needed for operating across multiple applications. The solution provides a centralized Large Language Model (LLM) model repository for creating secure endpoints for connecting GenAI applications.

“Nutanix is helping customers keep up with the fast pace of innovation in the Gen AI market,” said Thomas Cornely, SVP of Product Management at Nutanix. “We’ve expanded Nutanix Enterprise AI to integrate new NVIDIA NIM and NeMo microservices so that enterprise customers can securely and efficiently build, run, and manage AI Agents anywhere.”

Justin Boitano, Vice President of Enterprise AI Software Products at NVIDIA, noted that “enterprises require sophisticated tools to simplify agentic AI development and deployment across their operations.” He highlighted how integrating NVIDIA AI Enterprise software into Nutanix Enterprise AI establishes a foundation for building and running secure AI agents.

Key features of NAI include:

• Deploy agentic AI applications with shared LLM endpoints: Customers can reuse existing model endpoints as shared services, reducing infrastructure component usage.
• Leverage a wide array of LLM endpoints: NAI supports various agentic model services and enables function calling for external data sources, enhancing Application performance.
• Support GenAI safety: The new release includes models for filtering queries and responses to mitigate biased or harmful outputs.
• Unlock insights from data with NVIDIA AI Data Platform: The solution integrates with Nutanix Unified Storage and Database Service for managing structured and unstructured data.

NAI supports flexible deployment options across Hyperconverged Infrastructure (HCI), bare metal, and Infrastructure-as-a-Service (IaaS), enhancing management of containerized applications.

“Customers can realize the full potential of generative AI without sacrificing control,” said Scott Sinclair, Practice Director, Environmental Social and Governance (ESG), discussing the implications of the partnership with NVIDIA for organizations exploring agentic AI capabilities.

NAI with agentic model support is now available for Enterprise applications.