AI success starts with the right IT infrastructure

Nutanix AI solutions make it easy to tailor IT infrastructure for your AI needs, says product lead Ashwini Vasanth

Sponsored post Any technologist will tell you that the successful implementation of enterprise AI applications and workloads needs to have the right IT infrastructure in place.

As with so many things AI, that’s easier said than done. Simplifying the infrastructure helps. But achieving this requires a deep understanding of how to avoid complexity or finding a technology partner who does. Such partners should provide resilient and secure solutions that bridge the needs of AI developers, data scientists and IT teams.

AI infrastructures rely on core functions: compute power, storage, large language models and inference managers. They must integrate perfectly, otherwise complexity can escalate beyond control. Working together, they need to provide seamless functionality from datacentre to cloud to edge.

How can businesses starting their AI journeys ensure that their IT infrastructures can readily implement and scale AI initiatives?

According to Ashwini Vasanth, principal product manager at Nutanix, the answer is simple. Or rather, simplification.

As Vasanth explains in the Hot Seat video interview below, Nutanix Cloud Platform serves as the foundation for delivering AI-ready solutions, like Nutanix GPT-in-a-Box 2.0 with Nutanix Enterprise AI using the Nutanix Kubernetes Platform. This comprehensive, validated stack offers streamlined operations, infrastructure and services to get any business ready to deploy enterprise-scale AI now.

The cornerstones of the Nutanix approach? To begin with, Vasanth says, Nutanix addresses the challenge of integrating AI with existing IT systems to ensure interoperability and security across a single platform. This enables an organization to manage the lifecycle of GenAI models and scale AI workloads most effectively.

Nutanix removes storage silos by providing file, block and object storage on the same platform – including at the edge. This flexibility supports AI app needs and ensures efficient data management. And Nutanix simplifies AI workflows by offering one control plane for seamless mobility across datacenter, cloud and edge, simplifying AI workflows and enabling faster business benefits.

At the edge itself, Nutanix works to enable easy inference with remote application deployment, infrastructure management, software upgrades and troubleshooting.

Through the orchestration of these solutions Nutanix bridges the AI needs of developers and data scientists with integrated IT control, speeding time to value through self-service and automation.

These benefits extend through the total cost of AI ownership. With Nutanix, you have predictable costs for AI inferencing without calculating, tokens or API calls. Nutanix hyperconverged infrastructure requires less hardware – so energy consumption is lowered for environmental (and financial) sustainability while maintaining high performance and optimal operational efficiency.

Find out more about how Nutanix can guide your journey to enterprise scale AI adoption by clicking this link.

Sponsored by Nutanix