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Running Virtualization, Kubernetes, and AI at Scale

Running Virtualization, Kubernetes, and AI at Scale

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Enterprise private cloud strategies are evolving as organizations move beyond single-ecosystem virtualization toward operating multiple platforms in parallel. Virtual machines, Kubernetes-based platforms, and AI-enabled workloads now coexist as long-lived components of the same operating environment, driven by application diversity, modernization initiatives, and growing performance and governance requirements.

As platform diversity increases, so does operational complexity. Infrastructure, platform engineering, and operations teams must manage different lifecycle models, tooling stacks, and upgrade paths—often across VMware, Kubernetes, and emerging AI-capable environments—without introducing fragmentation, risk, or operational drag. Increasingly, success is determined not by platform adoption, but by the quality of the operating model beneath it.

In this latest Market Report, Running Virtualization, Kubernetes, and AI at Scale, completed in partnership with Dell Technologies, Intel, and Red Hat, Futurum Research examines how enterprises can operate heterogeneous platforms at scale through consistent automation, lifecycle governance, and disaggregated infrastructure. The report explores Dell’s private cloud approach and how blueprint-driven automation enables operational consistency across virtualization, Kubernetes, and AI workloads.

In this report, you will learn:
  • Why platform diversity is becoming a durable, long-term operating condition rather than a transitional phase
  • How blueprint-driven automation reduces operational friction across virtualization, Kubernetes, and AI environments
  • The role of disaggregated infrastructure in enabling flexibility without forcing consolidation or vendor lock-in
  • How Dell Private Cloud supports consistent lifecycle management across VMware, Red Hat OpenShift, and emerging platforms
  • What operational leaders should evaluate when planning for AI-ready infrastructure at scale
If you are interested in learning more, be sure to download your copy of Running Virtualization, Kubernetes, and AI at Scale today.

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Author Information

Mitch Ashley

Mitch Ashley is VP and Practice Lead of Software Lifecycle Engineering for The Futurum Group. Mitch has over 30+ years of experience as an entrepreneur, industry analyst, product development, and IT leader, with expertise in software engineering, cybersecurity, DevOps, DevSecOps, cloud, and AI. As an entrepreneur, CTO, CIO, and head of engineering, Mitch led the creation of award-winning cybersecurity products utilized in the private and public sectors, including the U.S. Department of Defense and all military branches. Mitch also led managed PKI services for broadband, Wi-Fi, IoT, energy management and 5G industries, product certification test labs, an online SaaS (93m transactions annually), and the development of video-on-demand and Internet cable services, and a national broadband network.

Mitch shares his experiences as an analyst, keynote and conference speaker, panelist, host, moderator, and expert interviewer discussing CIO/CTO leadership, product and software development, DevOps, DevSecOps, containerization, container orchestration, AI/ML/GenAI, platform engineering, SRE, and cybersecurity. He publishes his research on futurumgroup.com and TechstrongResearch.com/resources. He hosts multiple award-winning video and podcast series, including DevOps Unbound, CISO Talk, and Techstrong Gang.

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