Nutanix delivers platform for Agentic AI era, helping customers unlock new opportunities
Dubai — Nutanix, a leader in hybrid multicloud computing, today announced new capabilities to the Nutanix Cloud Platform (NCP) solution …
Dubai — Nutanix today unveiled a series of enhancements to the Nutanix Cloud Platform (NCP) aimed at helping organisations manage expanding AI workloads, increasingly complex cloud environments, and hardware supply constraints. The vendor said the updates — which include early access launches and generally available releases — extend NCP’s full-stack capabilities across AI infrastructure, unified storage, Kubernetes on bare metal, and data security for sovereign and air-gapped deployments.
“As organisations across MEA rethink their infrastructure strategies in the face of growing AI demands and supply chain challenges, Nutanix is uniquely positioned to provide a consistent, scalable, and sovereign cloud platform,” said Mohammad Abulhouf, Vice President & GM, Middle East & Africa, Nutanix. “We are committed to helping our customers unlock new opportunities while maintaining complete flexibility and control.”
What Nutanix is delivering
The company outlined multiple product moves that it says will enable enterprises to run virtualised, modern applications and AI workloads anywhere while preserving platform choice and sovereignty. Key announcements include:
- Nutanix Agentic AI — Announced at NVIDIA GTC 2026 and currently in early access, the full-stack Agentic AI platform is designed to help enterprises build and operate AI applications on NCP. Nutanix said the complete solution will be available in the second half of 2026 and will integrate compute, storage, networking and Kubernetes services on a secure, high-performance virtualisation foundation for AI infrastructure.
- NKP Metal — Extending the Nutanix Kubernetes Platform (NKP), NKP Metal is in early access and will be generally available in the second half of 2026. It enables Kubernetes deployments directly on bare-metal infrastructure to deliver higher performance for edge environments and dense GPU training workloads.
- Nutanix Unified Storage (NUS) 5.3 — Generally available now, NUS 5.3 adds Smart Tiering to move data seamlessly to Google Cloud and OVHCloud S3, multitenant object scaling and quotas to support large AI data lakes, and is positioned to turn object storage into a performance tier for “AI Factories.” Nutanix also said NUS will introduce RDMA acceleration for S3-compatible object storage later in 2026 to boost throughput for large training datasets.
- Nutanix Data Lens 2.0 — Generally available now and able to run fully on-premises, including in air-gapped environments, Data Lens 2.0 brings ransomware analytics, data audit and governance, and visibility across distributed storage footprints for sovereign and dark-site deployments.
- Database and service-provider integrations — A certified integration between Nutanix Database Service and MongoDB Ops Manager is generally available now to simplify automated provisioning and lifecycle management. Nutanix Service Provider Central (SP Central), in early access, adds multitenancy capabilities for service providers and will reach general availability in the second half of 2026.
“With the Nutanix Cloud Platform, customers can make better use of existing hardware infrastructure, expand across a growing ecosystem of cloud and infrastructure providers, and maintain choice and control over where workloads run, even as hardware availability and procurement timelines shift,” said Thomas Cornely, Executive Vice President, Product Management, Nutanix.
Outlook: Nutanix is positioning NCP as a flexible, sovereign alternative for organisations balancing hybrid multicloud agility with control over data and applications. With multiple items in early access and several features already generally available, the company expects to ship the full Agentic AI stack and NKP Metal by the second half of 2026, while continuing to roll out performance and security enhancements for AI training, object storage and air-gapped environments.