Nutanix and NVIDIA Collaborate to Bring Agentic AI to Enterprise Infrastructure

Nutanix and NVIDIA Revolutionize Enterprise AI Deployment

Nutanix, in collaboration with NVIDIA, is spearheading a significant shift in enterprise AI implementation. The partnership aims to simplify the integration of AI into enterprise infrastructure, moving beyond experimental phases to fully operational, agentic AI systems 1

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The AI Blueprint: A New Paradigm for Enterprise AI

At the heart of this collaboration is the introduction of the AI blueprint, a pre-architected solution designed to accelerate AI deployment across various industries. Kevin Deierling, SVP of Networking and Storage at NVIDIA, explains:

"Blueprints are how we build agentic flows. Now you have AI as it used to be -- you would ask a question and get an answer ... one-shot foundational models for inferencing. Today, inferencing is much more interesting and effective, so it's agentic AI. We have AIs talking to AIs; we have reasoning models. Putting those together, we call that a blueprint." 2

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These blueprints offer integrated orchestration, storage, and compute capabilities, with built-in security and manageability features. They enable businesses to quickly implement intelligent workflows tailored to specific use cases such as fraud detection, legal document management, or customer service.

Nutanix Enterprise AI: Empowering Agentic Applications

Nutanix has announced the general availability of the latest version of Nutanix Enterprise AI (NAI), which deepens integration with NVIDIA AI Enterprise. This includes NVIDIA NIM microservices and the NVIDIA NeMo framework, aimed at accelerating the deployment of agentic AI applications in enterprise settings 3

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Thomas Cornely, SVP of Product Management at Nutanix, states:

"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." 3

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Simplifying AI Operations and Governance

Nutanix's approach addresses the complexity of AI deployment while maintaining control. Debo Dutta, Chief AI Officer at Nutanix, highlights the importance of governance:

"Enterprise IT can give very detailed access controls of who owns what model and who has access. Then we have audit logs, we have telemetry. So, with a combination of these technology features, we give the enterprise IT complete control of the infrastructure running large language models and endpoints." 1

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This strategy appeals to enterprises looking to move quickly without sacrificing oversight, offering what Dutta describes as "simple ways to do day-to-day operations" and centralized governance.

Scaling AI for Enterprise-Wide Impact

The collaboration between Nutanix and NVIDIA is reshaping how companies approach AI deployment, treating it more like an industrial production line. Tarkan Maner, Chief Commercial Officer of Nutanix, emphasizes the scale of these deployments:

"We're talking about thousands of nodes, hundreds of thousands of cores transforming and getting ready for these AI-specific workloads. For one of our financial services customers, we're now doing a fraud detection application, all agentic." 2

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This scalability is crucial for enterprises looking to leverage AI across multiple business functions and drive competitive advantage.