Site icon TechArena

Nutanix Unveils Agentic AI Stack to Power Enterprise “AI Factories” with NVIDIA

Thomas Cornely, SVP, Product Management

Thomas Cornely, SVP, Product Management

Nutanix has announced a new Agentic AI solution, a full-stack platform designed to help organisations build, deploy and scale AI agents in production environments.

The solution is built to address a growing challenge in the AI space: while building models and agents is becoming easier, managing the infrastructure required to run thousands of them securely and efficiently is becoming significantly more complex.

According to Nutanix, enterprise AI adoption is hitting a tipping point.

Instead of running a few isolated AI models, companies are now looking to deploy “AI factories”—large-scale environments where multiple AI agents operate simultaneously, interact with enterprise systems, and continuously evolve.

“Production Agentic AI infrastructure needs to handle scale and high rates of change for thousands of AI services, agents, and concurrent users,” said Thomas Cornely.

He added that the new solution extends Nutanix’s core infrastructure stack to provide a cloud-like operating model for enterprise AI, enabling teams to build, operate, and govern AI environments more easily.

A key part of the announcement is Nutanix’s deep integration with NVIDIA.

The platform integrates with NVIDIA AI Enterprise and supports an ecosystem of NVIDIA-certified AI factory configurations, allowing organisations to deploy high-performance AI workloads across validated hardware setups from companies like Cisco, Dell, and Supermicro.

The collaboration also extends to emerging technologies such as NVIDIA Agent Toolkit and NVIDIA OpenShell (open-source runtime for autonomous agents).

For these and more stories, follow us on X (Formerly Twitter)FacebookLinkedIn and Telegram. You can also send us tips or reach out at info@techarena.co.ke.

Also Read: Nutanix, AWS and Datamellon Host Executive Workshop on Hybrid Cloud and AI in Lagos

Exit mobile version