Turn Nutanix AI Infrastructure Into Measurable Outcomes

Running AI on Nutanix is easy. Operating it efficiently at scale is not.

As AI workloads push infrastructure to its limits, teams need more than visibility—they need system-level intelligence that connects GPU performance, application behavior, and infrastructure health.

This solution brief shows how Virtana extends Nutanix Enterprise AI with full-stack observability to help you run smarter, faster, and more efficiently.

What you’ll learn:

• How to gain end-to-end visibility across Nutanix, Kubernetes, and GPU infrastructure
• Ways to improve GPU utilization and eliminate wasted spend
• How to correlate AI workload performance with underlying infrastructure
• How to accelerate troubleshooting and reduce operational noise
• How to plan capacity and scale AI workloads with confidence

Maximize every GPU. Optimize every workload.