Nutanix Extends AI Platform to Public Cloud

Nutanix, a leader in hybrid multicloud computing, announced that it extended the company’s AI infrastructure platform with a new cloud native offering, Nutanix Enterprise AI (NAI), that can be deployed on any Kubernetes platform, at the edge, in core data centers, and on public cloud services like AWS EKS, Azure AKS, and Google GKE. The NAI offering delivers a consistent hybrid multicloud operating model for accelerated AI workloads, enabling organizations to leverage their models and data in a secure location of their choice while improving return on investment (ROI). Leveraging NVIDIA NIM for optimized performance of foundation models, Nutanix Enterprise AI helps organizations securely deploy, run, and scale inference endpoints for large language models (LLMs) to support the deployment of generative AI (GenAI) applications in minutes, not days or weeks.

Generative AI is an inherently hybrid workload, with new applications often built in the public cloud, fine-tuning of models using private data occurring on-premises, and inferencing deployed closest to the business logic, which could be at the edge, on-premises or in the public cloud. This distributed hybrid GenAI workflow can present challenges for organizations concerned about complexity, data privacy, security, and cost.