Nutanix is expanding its cloud platform with a host of innovations. The platform gains extra functionality in terms of sovereignty, AI and security.
Nutanix is adding several new features to its Cloud Platform (NCP), with an emphasis on data security, control and resilience in distributed cloud environments. The improvements focus on support for sovereign architectures, AI workloads and Kubernetes environments. Let’s take a look at the announced innovations.
Sovereignty
The Nutanix Cloud Platform now offers more possibilities for organizations that focus on sovereign infrastructure. For example, it is now possible to centrally manage multiple ‘dark-site’ environments via orchestrated lifecycle management.
Control and management planes (control planes and governance) can be rolled out locally, on-premises. Nutanix Central, which normally runs in the cloud, can now also be managed in an on-premises environment. Nutanix Data Lens, which focuses on data protection and governance of unstructured data, will soon also be able to run locally.
In the public cloud environment, Nutanix is further expanding its support for sovereignty. The Government Cloud Clusters (GC2) for AWS make it possible for government agencies in the United States to build distributed cloud environments where data remains entirely within their own VPC.
For commercial customers, Nutanix Cloud Clusters (NC2) for Google Cloud is now generally available in seventeen regions, including six in Europe. In Europe, this solution has been running on OVHcloud’s infrastructure since this fall.
Security, compliance and AI
Nutanix is obtaining new security certifications for its NC2 solution on Azure and AWS, including SOC 2 Type 2 and ISO 27001, 27017, 27018, 27701 and 22301.
Specifically for Azure, the CSA Star Level 2 certification was obtained for the first time. These certifications should give customers extra certainty about the protection of their data, availability of systems and compliance with regulations.
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For AI applications, Nutanix Enterprise AI (NAI) now supports the deployment of AI models via NVIDIA NIM microservices. These run in containers that comply with STIG and FIPS standards. Additional functionalities are added, such as identity integration, access control, logging and monitoring. New microservices for object detection and data parsing via Nvidia have also been added.
Resilience and recovery
To improve the resilience of applications, NCP now supports advanced options for layered disaster recovery. Organizations can customize their recovery strategies per workload, with protection against outages of up to three regions or locations. Security rules remain active during live migrations and failovers, which limits operational interruptions. Multicloud snapshots provide an extra layer of protection in the event of cyber incidents.
The Nutanix Data Services for Kubernetes solution extends these capabilities to container environments. Both block and file data can now be protected via synchronized or asynchronous backup techniques. This should help organizations meet governance and compliance requirements for modern Kubernetes applications.
Simplified management
With Nutanix Infrastructure Manager, the company introduces a new tool to simplify infrastructure automation. Administrators can now set up data center environments more quickly based on pre-validated design patterns. For network management, a uniform platform has been added that allows VLANs, virtual networks and microsegmentation to be managed centrally, regardless of whether they run locally or in the cloud.
The management of Kubernetes and AI environments is also simplified. NKP clusters are automatically registered in Nutanix Prism Central, which provides direct infrastructure overview. Within NAI, a new dashboard is available that provides insight into LLM activity, including token usage and requests. This allows IT teams to better monitor and manage AI workloads within their hybrid infrastructure.