Nutanix used its .NEXT conference to broaden the Nutanix Cloud Platform (NCP) with new capabilities aimed at enterprise AI, hybrid multicloud operations, and infrastructure flexibility. The update centers on support for agentic AI workloads, broader deployment choices across servers, storage, and cloud providers, and added tools for customers navigating constrained hardware supply chains, sovereignty requirements, and shifts in the virtualization market. Nutanix said the platform is designed to support virtual machines, containers, and AI workloads under a common operating model.
A key addition is NKP Metal, which extends the Nutanix Kubernetes Platform to support Kubernetes deployments directly on bare-metal infrastructure. Nutanix is positioning NKP Metal for edge deployments, dense GPU environments, and AI training workloads that need direct access to physical hardware. The company said the offering combines automated node deployment, operating system and firmware lifecycle management, enterprise storage services, and unified operations across virtualized and bare-metal environments. Nutanix describes this as a dual-native architecture in which containers and VMs operate as first-class infrastructure under a single operating model. NKP Metal is in early access now for NKP Pro and NKP Ult users and is slated for general availability in the second half of 2026.
Nutanix also expanded the ecosystem around NCP through deeper integrations with infrastructure vendors and a new alliance with NetApp. The planned Nutanix-NetApp integration will bring NetApp ONTAP storage to the Nutanix Cloud Platform with AHV later this year, targeting faster NFS-based VM migration, VM-granular operations, independent scaling of compute and storage, and built-in cyber resilience features such as ransomware detection. Nutanix said it also plans to integrate NetApp ONTAP into its Nutanix Agentic AI software stack. Alongside that announcement, Nutanix highlighted broader platform additions including Nutanix Unified Storage 5.3, Nutanix Data Lens 2.0, Nutanix Cloud Manager 2.0, expanded sovereign cloud support, and zero-copy migrations from VMware vSphere Virtual Volumes to AHV vDisks.
- Nutanix Agentic AI remains in early access and is scheduled for full availability in the second half of 2026
- NKP Metal brings bare-metal Kubernetes support to the Nutanix platform for AI training, edge, and performance-sensitive workloads
- NKP Metal adds automated deployment, OS and firmware lifecycle management, and Nutanix data services to physical Kubernetes environments
- Nutanix says its dual-native architecture lets containers and VMs run as first-class infrastructure under one operating model
- Nutanix Unified Storage 5.3 is generally available now, with added tiering to Google Cloud and OVHCloud S3 plus multitenant object scaling
- Nutanix plans RDMA acceleration later in 2026 for S3-compatible object storage aimed at high-throughput AI training datasets
- Nutanix Data Lens 2.0 is generally available now for on-prem and air-gapped ransomware analytics, governance, and audit visibility
- Nutanix Cloud Manager 2.0 is generally available now with multisite and multidomain management plus integrated on-prem cost governance
- Zero-copy migration from VMware vSphere Virtual Volumes to AHV vDisks is generally available now
- Nutanix Cloud Clusters now supports AWS GovCloud, with AWS European Sovereign Cloud planned later this year
- Nutanix and NetApp plan support later this year for NCP with NetApp AFF A-series all-flash and select FAS hybrid-flash systems
- Cisco and NetApp also plan FlexPod support with Nutanix later this year
“With NKP Metal, we’re extending the Nutanix operating model to bare-metal Kubernetes, combining automated lifecycle management with integrated Cloud Native AOS data services to deliver the simplicity, consistency, and enterprise storage capabilities customers need on their physical infrastructure,” said Dan Ciruli, Vice President and General Manager, Cloud Native, Nutanix.
🌐 Analysis: Nutanix is trying to turn the current AI infrastructure transition into a broader platform opportunity. The addition of bare-metal Kubernetes support is significant because many AI training and edge environments want direct hardware access, especially in dense GPU clusters, but still need enterprise lifecycle management and storage integration. The NetApp alliance also strengthens Nutanix’s position with enterprises that want alternatives to tightly coupled HCI deployments and more flexibility in how they scale compute and storage. Together, these moves show Nutanix pushing beyond HCI roots toward a broader control plane for virtualized, containerized, and AI workloads across mixed infrastructure.
🌐 Analysis: The timing also matters. Enterprise customers are reassessing virtualization choices, AI infrastructure design, and sovereign cloud options at the same time. Nutanix is responding by widening hardware and storage compatibility, deepening ties with partners such as Cisco, AMD, Intel, Lenovo, Supermicro, and NetApp, and adding operational features that reduce friction for migration and hybrid deployment. Competitively, that puts Nutanix closer to the center of infrastructure modernization discussions that now span VMs, Kubernetes, storage, and AI data pipelines rather than hypervisors alone.
🌐 We’re tracking the latest developments in AI infrastructure and data centers. Follow our ongoing coverage at: convergedigest.com/category/data-centers/
🌐 We’re launching the “Data Center Networking for AI” series on NextGenInfra.io and inviting companies building real solutions—silicon, optics, fabrics, switches, software, orchestration—to share their views on video and in our expert report. To get involved, send a note to [email protected] or [email protected].
