Chatter about virtualization's demise has grown louder in recent years, fueled by changes following Broadcom's acquisition of VMware and the rapid rise of containers. The reality inside enterprise data centers tells a different tale, according to Deepak Goel, chief technology officer for cloud-native at Nutanix.
"The narrative that virtualization is no longer necessary is one of the most misleading stories circulating in the market today," Goel explained in his blog post The Race to Fill the Virtualization Gap. "Reality is far more nuanced."
Server virtualization is the software abstraction of physical server resources into virtual machines, allowing multiple workloads to run independently on shared hardware. Despite the rise of containers, it remains foundational to enterprise IT for workload isolation, resource efficiency and operational management.
Gartner called the current moment "the most significant disruption in decades" for server virtualization, driven by changes rolled out following Broadcom's 2023 acquisition of VMware. Many VMware customers questioned whether to continue using the company's hypervisor and software, prompting them to explore other options.
"Market disruption has a way of accelerating long-standing technology debates," Goel said. "Changes in the virtualization market have created uncertainty and pushed many organizations to reevaluate their infrastructure strategies."
Virtualization became foundational to enterprise IT for a reason. It simplified management, improved infrastructure efficiency and increased hardware utilization, helping organizations scale applications more consistently. Those advantages have not disappeared.
"Many of the operational challenges enterprises face today still align closely with the strengths virtualization provides," Goel said. "Isolation between workloads, simplified disaster recovery, predictable resource allocation, security boundaries and operational consistency remain essential across modern environments."
Virtualization also enables organizations to maximize the value of increasingly expensive hardware investments by increasing utilization across shared infrastructure, particularly in dynamic, multi-tenant environments where workloads constantly shift. That matters more as IT teams manage increasingly distributed infrastructure spanning data centers, cloud environments, edge locations and Kubernetes clusters.
Containers, by contrast, are lightweight and highly efficient for many modern applications, but they do not always deliver the same level of infrastructure utilization or operational flexibility on their own, Goel explained.
Moving away from virtualization entirely can backfire. Tasks that virtualization platforms have long abstracted and simplified, including workload isolation, lifecycle management, high availability and infrastructure portability, do not disappear. They become more manual and fragmented.
"The operational responsibility does not vanish when you remove the virtualization layer," Goel said. "It just shifts back onto infrastructure teams that are already stretched thin."
The supposed performance gains from eliminating virtualization continue to shape the discussion.
Goel concedes the point is not baseless. Some workloads benefit from running directly on bare metal, particularly highly specialized or latency-sensitive applications such as certain AI training workloads or high-performance computing environments. In those cases, the conversation is less about dramatic performance gains and more about reducing operational variables. Developers working on highly latency-sensitive applications often prefer to avoid troubleshooting across an additional software layer, even when modern virtualization platforms can deliver extremely low latency.
But those examples represent a small portion of enterprise infrastructure.
"For many enterprise workloads, virtualization delivers more operational value than organizations would gain by standardizing entirely on bare metal," Goel said. "Infrastructure decisions are rarely based on performance alone. Operational agility, security, resilience, scalability and manageability all play equally important roles."
That balance is one reason virtualization remains deeply embedded across enterprise IT, even as modernization efforts accelerate. Organizations may need bare metal support for specific corner cases while continuing to rely on virtualization for the majority of workloads, where efficiency, utilization and operational simplicity remain the higher priority.
Containers and Kubernetes have fundamentally changed how organizations build and deploy applications. They offer clear advantages for cloud-native development, application portability, rapid scaling and modern DevOps workflows.
The 451 Research survey found that 90% of organizations with 10,000 or more employees run VMs, compared with about 50% of those with fewer than 250. Hybrid coexistence, not replacement, defines the current landscape.
"Containers and virtualization solve different problems," Goel said. "Containers focus on application packaging and portability. Virtualization focuses on infrastructure abstraction, workload isolation and operational management."
In practice, most enterprises need both. Many organizations are modernizing gradually rather than rebuilding every application from scratch. Legacy applications often continue to run effectively in virtual machines, while newer cloud-native applications are deployed in containers. This creates a hybrid operational model in which virtual machines and containers coexist on the same infrastructure.
A hybrid approach allows IT teams to modernize incrementally rather than forcing disruptive migrations, Goel said.
"Teams can move applications into containers where it makes sense, while continuing to operate stable virtualized workloads efficiently," Goel said. "It also reduces the operational risk associated with large-scale infrastructure transitions."
As enterprises adopt both virtualization and containerization, a new challenge emerges. Managing separate silos for virtual machines, Kubernetes clusters, cloud infrastructure and edge environments can quickly create operational complexity.
This is where platform strategy becomes critical, Goel said. Rather than deciding between a hypervisor or Kubernetes, the real challenge is creating a consistent operational model that manages both environments cohesively.
"Organizations increasingly need platforms that can run virtual machines and containers side by side, provide centralized visibility across environments, simplify lifecycle and infrastructure management, deliver consistent security and governance policies, and support application portability across data centers, cloud and edge," Goel said.
Without that unified approach, organizations risk creating disconnected infrastructure stacks that increase complexity instead of reducing it. That burden falls hardest on lean IT teams already managing staffing shortages, security pressures and expanding infrastructure footprints.
The long-term winners are unlikely to be the organizations that commit exclusively to one infrastructure model, Goel said. The most successful enterprises will be those that build adaptable operational foundations capable of supporting both traditional and modern workloads.
"The future of enterprise infrastructure depends on creating operational flexibility across virtual machines, containers and modern applications without adding unnecessary complexity," Goel said. "The ability to manage both seamlessly through a unified platform is what enables you to modernize without sacrificing operational control."
"The race to fill the virtualization gap has created a great deal of noise, but the organizations pulling ahead are the ones that stopped racing and started consolidating," Goel said. "The future is not about choosing one model. It is about managing everything at once."
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Ken Kaplan is Editor in Chief for The Forecast by Nutanix. Find him on X @kenekaplan and LinkedIn.
Sam Rastogi contributed to this story. Find him on LinkedIn.
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