About
Welcome to Virtualization Velocity. I’m Brandon Seymour, Principal Enterprise Strategist – AI Factory at CDW, where I help large enterprise organizations evaluate, design, and operationalize the infrastructure required to support artificial intelligence at scale.
With more than 20 years of experience in enterprise technology, my work spans AI infrastructure, GPU-accelerated computing, hybrid cloud, virtualization, Kubernetes, data platforms, and enterprise architecture. I have supported complex, mission-critical environments and helped organizations move from early experimentation toward secure, scalable, and operationally sustainable platforms.
Virtualization Velocity began with a strong focus on VMware and virtualization. As enterprise technology has evolved, so has the site. Today, the content explores the broader intersection of enterprise AI, modern infrastructure, cloud platforms, data-center architecture, and the operational disciplines required to bring emerging technologies into production.
Here, I share practical perspectives on architecture patterns, infrastructure decisions, AI platforms, technical tradeoffs, industry developments, and lessons from hands-on lab projects. I also cover technologies and events across the broader ecosystem, including NVIDIA, VMware, Nutanix, Kubernetes, open-source AI platforms, and enterprise infrastructure vendors.
My approach to architecture begins with discovery and empathy: understanding business objectives, organizational constraints, risk tolerance, operational maturity, and the people responsible for supporting the environment. The objective is not simply to introduce new technology, but to create solutions that are executable, supportable, repeatable, and aligned with measurable outcomes.
I am also committed to mentorship, technical education, and transparent knowledge sharing. I am currently pursuing a bachelor’s degree in Artificial Intelligence at the University of Maryland Global Campus, combining formal study in AI theory, ethics, and applied practice with decades of real-world enterprise experience.
With more than 20 years of experience in enterprise technology, my work spans AI infrastructure, GPU-accelerated computing, hybrid cloud, virtualization, Kubernetes, data platforms, and enterprise architecture. I have supported complex, mission-critical environments and helped organizations move from early experimentation toward secure, scalable, and operationally sustainable platforms.
Virtualization Velocity began with a strong focus on VMware and virtualization. As enterprise technology has evolved, so has the site. Today, the content explores the broader intersection of enterprise AI, modern infrastructure, cloud platforms, data-center architecture, and the operational disciplines required to bring emerging technologies into production.
Here, I share practical perspectives on architecture patterns, infrastructure decisions, AI platforms, technical tradeoffs, industry developments, and lessons from hands-on lab projects. I also cover technologies and events across the broader ecosystem, including NVIDIA, VMware, Nutanix, Kubernetes, open-source AI platforms, and enterprise infrastructure vendors.
My approach to architecture begins with discovery and empathy: understanding business objectives, organizational constraints, risk tolerance, operational maturity, and the people responsible for supporting the environment. The objective is not simply to introduce new technology, but to create solutions that are executable, supportable, repeatable, and aligned with measurable outcomes.
I am also committed to mentorship, technical education, and transparent knowledge sharing. I am currently pursuing a bachelor’s degree in Artificial Intelligence at the University of Maryland Global Campus, combining formal study in AI theory, ethics, and applied practice with decades of real-world enterprise experience.
Merit - University of Maryland
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