At its
.NEXT Conference, Nutanix unveiled a series of updates and partnerships aimed at reshaping enterprise infrastructure for virtualization, containerization, and AI-driven workloads. These announcements are geared toward giving organizations the flexibility and control they need to run mission-critical applications anywhere—on-prem, in the cloud, or at the edge.
Integrated Infrastructure for High-Demand Workloads
Nutanix announced a new partnership with Pure Storage to deliver a tightly integrated infrastructure solution designed for virtualization-heavy and data-intensive environments. This joint offering combines Nutanix Cloud Infrastructure and its AHV hypervisor with Pure Storage’s FlashArray via NVMe/TCP, creating a scalable, resilient, and high-performance foundation for AI and enterprise workloads.
With support for popular server hardware from Cisco, Dell, HPE, Lenovo, and Supermicro, the collaboration provides an attractive alternative for enterprises navigating away from legacy virtualization stacks. The integration also enhances end-to-end cyber resilience by bringing together Nutanix Flow for micro-segmentation and disaster recovery with Pure’s encryption and SafeMode features. Early access is expected in mid-2025, with full availability by year-end through both companies’ partner ecosystems. Notably, the Cisco-Pure FlashStack offering will now include Nutanix support.
Cloud-Native AOS Brings Data Portability to Kubernetes
In a move to bridge the gap between traditional and cloud-native infrastructure,
Nutanix introduced Cloud Native AOS. This new solution extends Nutanix’s enterprise-grade storage services to Kubernetes environments running on public cloud or bare metal, without requiring a hypervisor. It provides a consistent data layer that simplifies disaster recovery, data mobility, and storage operations across distributed Kubernetes clusters.
With early access support for Amazon EKS and plans to support on-premises containerized environments by the end of the year, Cloud Native AOS enables organizations to run stateful applications more efficiently. Developers gain Kubernetes API access for automated, self-service storage operations, while IT teams benefit from streamlined day-two operations and reduced infrastructure complexity.
Scaling Agentic AI with NVIDIA Integration
Further expanding its AI capabilities,
Nutanix announced the general availability of the latest version of Nutanix Enterprise AI (NAI), featuring deeper integration with NVIDIA AI Enterprise, including support for NVIDIA NIM microservices and the NeMo framework. This upgrade enables enterprises to build and manage agentic AI applications more efficiently by centralizing model services, securing endpoints, and simplifying inferencing workflows.
NAI supports a range of NVIDIA-powered tools—such as Llama Nemotron models, NeMo Retriever, and Guardrails—to help accelerate AI development while maintaining content safety and operational governance. Organizations can also leverage Nutanix Unified Storage and Database Services, certified through the NVIDIA AI Data Platform reference design, to process and manage structured and unstructured data at scale.
With support for deployment across hybrid cloud, bare metal, and Kubernetes environments, NAI gives enterprises the infrastructure consistency they need to operationalize advanced AI while aligning with internal compliance and security mandates.
Across its announcements, Nutanix is aligning its platform strategy to meet the rising demands of a hybrid, cloud-native, and AI-enabled enterprise. Whether modernizing virtualization environments, standardizing Kubernetes storage, or scaling generative AI, Nutanix aims to provide organizations with the building blocks needed to operate securely, flexibly, and efficiently in an increasingly complex IT landscape.
