AI & Machine Learning

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Newer VKS Versions Missing from vCenter: Finding and Registering Asynchronous Releases

TL;DR A newer VMware vSphere Kubernetes Service version may be fully released and still not appear in the vCenter upgrade dropdown. Broadcom KB 439327 explains that this is expected for asynchronous VKS releases. The dropdown automatically shows the VKS versions embedded in the installed vCenter build, while later asynchronous releases must be registered manually by […]

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On-Prem Private AI Series: HPE Private Cloud AI with NVIDIA as the Turnkey Private AI Consumption Pattern

TL;DR HPE Private Cloud AI with NVIDIA is the private AI option for organizations that want a more packaged, cloud-like, turnkey private AI experience. Compared with VMware’s private cloud continuity model and Dell’s validated OpenShift-centered AI factory pattern, HPE’s center of gravity is consumption simplicity. It is designed to help teams move from AI pilots

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The CEO-CIO Compact for Agentic AI: Who Owns Risk, Spend, and Business Outcomes?

TL;DR Agentic AI creates an accountability problem before it creates a technology problem. An AI agent can interpret goals, retrieve data, select tools, spend money, initiate workflows, and change business or technical systems. That authority cannot be assigned to an innovation committee, hidden inside a platform team, or treated as a normal software feature. The

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Choosing an LLM for Enterprise RAG: Retrieval Fit Beats Model Hype

TL;DR The best LLM for enterprise RAG is not automatically the largest or newest model. The right model is the one that works with your retrieval design, citation expectations, latency target, cost profile, data controls, and evaluation requirements. Model selection should happen after source quality, access control, retrieval behavior, and test questions are understood. Why

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On-Prem Private AI Series: Dell AI Factory with NVIDIA and Red Hat OpenShift AI as the AI Factory Build Pattern

TL;DR Dell AI Factory with NVIDIA and Red Hat OpenShift AI is the private AI option for organizations that want a validated infrastructure and platform stack instead of building every AI layer themselves. Compared with the VMware approach in the first article, Dell’s center of gravity is less about extending an existing private cloud operating

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