As enterprise AI moves further into its implementation phase, companies must navigate the nuances that arise with their particular use cases.

To address these challenges, Nutanix Inc. and Nvidia Corp. have joined forces to deliver scalable enterprise AI solutions that bridge on-premises and cloud environments, meeting the demands of modern, AI-driven businesses.

“What we’re seeing is the fundamental shifts across three vectors happening simultaneously,” said Justin Boitano (pictured, left), vice president of enterprise AI at Nvidia. “First, the world needs to move away from traditional computing into full-stack accelerated computing. The second thing we see is as people go to full stack accelerated computing, it requires reinvention of the entire infrastructure. All of your software across your state has to change and all of this has to be done to power this new world of generative AI. Finally, the third vector that we see is agentic AI.”

Boitano and Tarkan Maner (right), chief commercial officer at Nutanix, spoke with theCUBE Research’s Dave Vellante at The AI-Ready Platform: Nutanix Simplifies Enterprise AI event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the Nutanix and Nvidia partnership, enterprise AI, and the urgency for enterprises to embrace AI as a catalyst for growth and efficiency. (* Disclosure below.)

Performance, efficiency and simplicity: The core of Nutanix Enterprise AI

Today’s AI models must be fine-tuned to understand organizational contexts, values and data privacy requirements. Nutanix’s Enterprise AI platform, built in collaboration with Nvidia, provides a seamless solution for enterprises looking to adopt AI at scale, according to Maner.

“We are looking at this in three dimensions: AI at Nutanix, which is what we do as a company; AI on Nutanix, the things that we support on our platform, especially those use cases, workloads and applications; and then AI in Nutanix, what we do with our actual platform, our product, with all the stuff we do in it with the IP we create,” he said.

The three-pronged formula enables enterprises to deploy custom AI applications securely and cost-effectively, leveraging the flexibility of hybrid multicloud architectures. Additionally, the strategic partnership with Nvidia ensures that Nutanix allows customers access to cutting-edge AI models, helping them drive productivity and innovation, according to Boitano.

“Whether you’re building retrieval augmented generation systems that need to tie into your data or customer support bots, all of it can be built on this common platform from Nutanix,” he said. “Most [enterprises] want to keep their proprietary information confidential, and they want to run it in a protected way on their network. But they want to harness all the automation benefits and this new level of intelligence to augment their workforce and drive better efficiency and productivity across the board.”

Looking ahead, Nutanix and Nvidia are paving the way for large-scale deployment of AI agents — software entities that perform specialized tasks autonomously. These agents will take on repetitive tasks, freeing employees to focus on strategic, high-value work. Developed from extensive industry collaboration, Nvidia’s AI blueprints offer best-practice models for common use cases, such as customer service automation and security analysis, according to Maner.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of The AI-Ready Platform: Nutanix Simplifies Enterprise AI event:

Watch the entire episode below:

(* Disclosure: TheCUBE is a paid media partner for The AI-Ready Platform: Nutanix Simplifies Enterprise AI event. Neither Nutanix Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE