TL;DR Use Model Context Protocol as the governed interface through which agents discover and invoke enterprise capabilities, but do not treat MCP as the complete controller for an autonomous agent

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TL;DR An AI agent is not production-ready because it can complete a demonstration. It is production-ready when the organization can prove who is acting, what state is retained, which tools

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Moving from VCF 9.0 to VCF 9.0.1 looks small on paper. It is not a platform redesign, not a brownfield conversion, and not the same class of change as a

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TL;DR The essential AI agent repository list in 2026 is no longer just a collection of frameworks and tutorials. A credible engineering stack now includes protocol specifications, official SDKs, server

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TL;DR Local AI in 2026 is no longer limited to a command-line chatbot. A practical local stack can include model runtimes, desktop assistants, private document search, coding agents, visual orchestration,

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TL;DR PowerCLI is now distributed through the VCF.PowerCLI package. The older VMware.PowerCLI package is deprecated, although many familiar cmdlets and underlying VMware.* modules remain in use. For a new installation,

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Most AI agent conversations start in the wrong place. The first question is usually, “What can the agent do?” Can it answer questions? Can it search documents? Can it open

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AI demand rarely arrives as a clean infrastructure request. It usually starts as a conversation. A data science team has a model they want to test. A business unit wants

Continue ReadingVCF 9.1 for AI Workloads: The Decisions Infrastructure Teams Need to Make Before the First GPU Cluster