Nutanix advocates dual-native infrastructure to bridge VM and container divide

Nutanix has published a sponsored feature arguing that enterprises should run virtual machines and containers within the same operating environment to support artificial intelligence ambitions. According to the company, maintaining separate stacks for these technologies creates operational friction that hinders modern IT goals.

The vendor contends that the traditional single-stack model of enterprise computing is no longer viable due to the rise of multi-cloud strategies and application-specific hardware. IT decision-makers previously accepted limited flexibility in exchange for manageable homogenous environments, but current business requirements demand technological diversity.

Context on Infrastructure Complexity

Modern enterprise environments are described as innately heterogeneous and complex, running diverse combinations of system software, hardware, and cloud services. The advancement of AI has introduced standard CPUs, specialized GPUs, fast networking fabrics, and distributed data pipelines across private, public, and edge clouds.

This technological shift has led to what Nutanix calls the VM-container divide. Critical business applications often remain on virtual machines because cloud-native services prioritize container and Kubernetes availability. Consequently, companies face the challenge of operationalizing AI without undertaking complex migrations or creating new infrastructure silos.

Impact on IT Management

Dealing with this technological schism poses acute challenges for IT management, according to the vendor. Many new AI deployments go directly to containers, while the existing data and applications that AI needs to access continue to run on virtual machines.

Running separate stacks for VMs and containers creates issues such as duplicate capacity plans, separate support contracts, and fragmented governance. Enterprises that struggled to move beyond siloed data are now dealing with siloed infrastructure. Separately managed environments often result in inefficient resource utilization, complicating efforts to meet pressing return on investment expectations.

What should you do?

IT leaders should evaluate their current infrastructure for signs of the VM-container divide, specifically checking if AI workloads are isolated from legacy data sources. Organizations should review their capacity planning processes to identify duplication between virtual machine and container support contracts.

What to do and how to stay safe: Nutanix

• Audit existing infrastructure to identify separate management stacks for virtual machines and containers that may be causing governance fragmentation.
• Review capacity plans to ensure resources are not being duplicated across disparate VM and container environments.
• Monitor support contracts to determine if maintaining separate infrastructure stacks is increasing operational costs unnecessarily.
• Assess resource utilization metrics to identify inefficiencies caused by running VMs and containers in isolated operational silos.

Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation

General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

What is the VM-container divide?

It is a situation where critical business applications run on virtual machines while new AI deployments use containers, creating operational silos.

Why does Nutanix recommend dual-native environments?

The vendor argues that running VMs and containers in the same environment prevents duplicate capacity plans and fragmented governance.

What challenges do separate VM and container stacks create?

They create duplicate capacity plans, separate support contracts, fragmented governance, and inefficient resource utilization.