Virtualization isn't broken. It's overdue for reinvention.

• Enterprises are rethinking virtualization to support hybrid cloud and AI-driven operations.
• HPE Morpheus Software aids companies like AstraZeneca in streamlining server management.
• Unified control planes help enterprises cut costs and boost infrastructure efficiency.

Enterprise infrastructure is entering a new era. After nearly two decades as one of IT's most dependable foundations, virtualization now sits at the center of a bigger question: How should enterprises build the operating model they need for the next decade of hybrid cloud, distributed data, and AI-driven work?

AI, hybrid operating models, distributed data, and growing governance complexity were already exposing the limits of infrastructure built for a different era. Recent licensing and cost pressures brought those challenges into sharper focus, accelerating decisions that many organizations were already being forced to consider. The real story is the broader reinvention of enterprise infrastructure for the next decade of innovation.

That is why 64% of enterprises surveyed by HPE are pursuing a "VM reset" initiative — not simply to lower costs, but to rethink the infrastructure foundation that will determine how quickly they can innovate, scale, and adapt.

In truth, virtualization was due for a rethink before the cost crisis. In the same HPE survey, only 4% of IT leaders cited cost as the primary driver behind modernization. What changed is that the "VM tax" forced a closer look at a model born in a different era — before today's mix of public and private clouds, hybrid work, shadow IT, edge environments, and AI workloads that demand faster, more flexible infrastructure.

The opportunity is to move beyond reactive optimization and build a more intelligent, adaptable platform for the emerging era of computing.

The shift to unified control

The first strategic shift is to create an infrastructure foundation that can continuously adapt to new demands. Adaptation to cloud computing, hybrid working, edge environments, and AI often happened on the fly, evolving into portfolios of disjointed tools that were never designed to operate as one.

Today's enterprise typically operates a tangle of on-premises servers, supplemented by cloud-based virtual machines and public cloud services, with different branches or teams often using overlapping or duplicated tools — overseen by a mess of observability tools.

This sprawl translates into more time managing than innovating, slower responses to disruption, and a greater need for specialist expertise. As AI introduces more dynamic demand patterns and more distributed data flows, that complexity becomes harder to absorb without compromising user experience and productivity.

And then there's the challenge of maintaining consistent policy across a globe-spanning morass of software, especially when territorial regulations are evolving at speed.

Regaining control means rationalizing unwieldy stacks into streamlined infrastructure that can apply consistent governance, automate routine work, and create room for new workloads to scale.

Moving beyond infrastructure maintenance

The second shift is from maintaining infrastructure to using it to drive business agility. Pharmaceutical company AstraZeneca was in a fragmented position, running 16,000 virtual and physical servers and 2,700 applications across 15 global locations. With all the manual hand-offs and inter-departmental approvals such complexity implies, service delivery took an average of 80 man-hours per server.

That kind of operational burden points to the need for a more unified approach. When the company adopted HPE Morpheus Software, a vendor-agnostic, unified control plane for orchestrating virtualization, that number shrank to 27 minutes for just 30 servers.

With a comprehensive view of every machine, server, and tool — and extensive automation — the company saw a 177-fold improvement in deployment time, saving $6 million over four years.

These results are echoed in an IDC survey of IT leaders, which found that similar modernization initiatives achieved up to 90% cost savings on virtualization software, alongside 26:1 reductions in server footprint — saving 50-84% on power and cooling.

Modernization can also help overcome a critical skills gap. Sixty percent of enterprises surveyed by HPE cited a lack of cloud and automation expertise as a top barrier to executing infrastructural initiatives. Unified control planes reduce the need for detailed knowledge of individual solutions.

The strategic value goes beyond savings. IT managers can right-size cloud infrastructure, cull duplicate tools, and apply consistent governance across the enterprise — creating a more dynamic backbone for innovation.

They can also respond more quickly to disruption, scale resource use with greater precision, and absorb new workflows and tools as the business evolves — capabilities that become even more critical as AI moves from experimentation to enterprise-wide execution.

From AI-ready to AI-native

The third shift is from simply being AI-ready to becoming AI-native. AI is not a separate infrastructure consideration to be addressed after modernization. It is one of the forces reshaping what modern infrastructure must be able to do.

Generative AI requires drastically different resources during training and inference, demanding virtualization that can easily scale as needed.

At times, AI traffic can be much more symmetrical than traditional workflows, requiring ultra-dynamic bandwidth management to ensure the AI has the speed it needs without throttling the rest of the business.

The technology is developing rapidly, toward a multi-vendor combination model, meaning enterprises need to be able to accommodate new products and technologies quickly.

This is where unified control planes like HPE Morpheus Software fit into a broader modernization strategy: helping enterprises manage complexity, free budget from the "VM tax," and redirect capacity toward AI adoption and innovation.

Building the platform for what comes next

The standard virtualization model has coped remarkably well with the developments of the past two decades. But the next decade will demand more of enterprise infrastructure: more agility, more automation, more governance, more efficiency, and more capacity to support AI-driven transformation.

Virtualization modernization is more than a migration. It is a reimagining of enterprise IT infrastructure into a dynamic platform that can flex with whatever the future demands.

Learn how HPE helps enterprises modernize virtualization for the AI era.

This sponsored post was created by BI Studios with HPE.

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