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    Home»Cloud Computing»Why Nutanix sees sovereign cloud changing
    Cloud Computing

    Why Nutanix sees sovereign cloud changing

    AdminBy AdminDecember 20, 2025No Comments5 Mins Read0 Views
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    For years, sovereign cloud discussions have focused on geography. Data had to stay inside a country, infrastructure had to sit in defined borders, and control was assumed to follow location. But that model is starting to break down.

    AI workloads, distributed applications, and stricter oversight rules are pushing organisations to rethink what sovereignty actually means in practice. Data is copied, restored, and analysed in multiple locations. Applications no longer live in one place, and many organisations now operate environments that mix private infrastructure, public cloud services, edge systems, and fully disconnected sites.

    In that context, sovereignty is shifting from where systems run to who controls them.

    Recent updates to the Nutanix Cloud Platform reflect that change. Rather than framing sovereignty as a fixed perimeter, the platform is now positioned to support environments where control, security, and recovery remain under the customer’s authority, even as workloads spread in different locations and operating models.

    AI accelerates the shift to distributed sovereign cloud

    AI is one of the main forces behind this shift. Training and running models often requires access to large datasets, but moving that data into a single central cloud can increase cost, risk, and compliance exposure.

    That’s pushing organisations toward more distributed designs, said Lee Caswell, senior vice president of product and solutions marketing at Nutanix.

    “Historically, sovereignty has been a very tightly constrained boundary,” Caswell said. “We’re finding that as customers start thinking about where data is replicated to and restored to, AI is pushing for a more distributed data and applications world.”

    Instead of consolidating everything into one control plane, organisations are looking for ways to run AI closer to data sources while still applying consistent security rules and operational oversight.

    Control replaces location as the defining line

    In response, Nutanix is emphasising operational control as the core measure of sovereignty. The idea is that organisations should be able to observe, manage, secure, and recover applications without depending on external service layers they do not control.”Sovereign boundaries are where you can observe, manage, lifecycle and secure your data and applications without exposure to an outside entity,” Caswell said.

    That approach shows up in several ways. Management tools that previously required software-as-a-service delivery can now run inside customer environments. Security and governance services can be deployed in air-gapped or dark-site settings, and orchestration can remain private even when workloads run on public cloud infrastructure.

    The platform also allows licences and encryption controls to move with workloads, rather than being locked to a specific environment. “If you bought one of our licenses to deploy on your own hardware and you decide to move that workload to a server that you rent from AWS, you can move that licence at will,” Caswell said.

    Security and compliance move closer to the workload

    As environments become more fragmented, security controls are being pushed down the stack. Nutanix is extending policy enforcement beyond virtual machines to containerised and bare-metal workloads, including Kubernetes environments.

    The company said its Kubernetes platform will support operating system images aligned with US government security standards, although that capability is still under development and does not yet have a delivery date.

    For AI workloads, Nutanix Enterprise AI now supports government-ready versions of Nvidia Corp.’s AI Enterprise software, including hardened inference services designed to meet federal compliance requirements. Other changes focus on access control, identity integration, and audit visibility for model use.

    Together, these updates reflect a broader effort to apply the same security expectations to AI and container workloads that enterprises have long applied to traditional infrastructure.

    Resilience becomes a governance issue

    Resilience is another area where sovereignty concerns are reshaping infrastructure design. Instead of treating all applications equally during outages, organisations are increasingly looking to prioritise systems based on regulatory impact and business risk.

    Nutanix said customers can now define recovery policies that preserve security settings while controlling the order and scope of restoration during failures, including scenarios involving multiple sites or regions. “In the past, all applications were treated equally,” Caswell said. “That gives you more control over an orchestrated restore process.”

    Platform choice under renewed scrutiny

    These shifts also influence how organisations think about platform dependencies. Nutanix has introduced new automation tools aimed at simplifying infrastructure deployment and lifecycle management, an area drawing attention from customers reassessing their virtualisation strategies. “Every VMware customer is looking at alternatives today,” Caswell said. While most are not planning immediate, full-scale migrations, “they’re very unlikely to put a new workload on VMware.”

    Industry analysts see the same pattern. “Distributed sovereign cloud is becoming a priority for organisations that must meet regulatory obligations without disrupting operational consistency,” said Dave Pearson, vice president at IDC.

    A structural shift in sovereign cloud strategy

    Rather than a single product release, the changes reflect an adjustment in how cloud infrastructure is being designed. Sovereignty is not treated as a static requirement satisfied by location alone, but is becoming an ongoing operational responsibility, shaped by AI, regulation, and the growing complexity of enterprise environments.

    Nutanix said its latest updates are intended to support that reality.

    (Photo by Growtika)

    See also: IBM moves to buy Confluent in an $11 billion cloud and AI deal

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