AI & Machine Learning

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Sumeet Vaidya is the CEO and co-founder of Crafting

The Biggest AI Talent Challenge Is Resilience, Not Speed

By Sumeet Vaidya  Frontier labs and hyperscalers promise world-shifting innovation. And most deliver it. But, as we’re seeing with the Anthropic policy flip-flop and the evolving Hugging Face and OpenAI security incident, they operate without stability. That’s deeply concerning because technology organizations that build their entire AI operations and business on top of Anthropic, OpenAI […]

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VMware Cloud Foundation 9.1 Release Notes: What Changed for Operators

VMware Cloud Foundation 9.1 became available on May 12, 2026, as build 25377994. The release covers infrastructure efficiency, Kubernetes operations, private AI, cyber resilience, platform scale, and lifecycle improvements. The headline features are significant, but they are not the whole story. [A] The more consequential change is architectural. VCF 9.1 consolidates more fleet lifecycle, software-depot,

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How to Govern the MCP Gateway and MCP Server Layer: Enterprise Agent Control Plane Series, Part 3

TL;DR The MCP gateway should be the governed capability-access layer beneath the trusted agent controller. It should admit approved servers, expose only permitted tools, validate schemas, enforce identity and routing rules, isolate credentials, detect capability changes, and preserve trace evidence. The gateway should not become the only security control. Each MCP server must still enforce

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NSX VPC or Another Workload Domain? Choosing the Right Isolation Boundary in VCF 9.1

TL;DR Do not create a VMware Cloud Foundation workload domain every time a tenant, business unit, application, or security team asks for separation. In VCF 9.1, the correct design is usually to choose the smallest boundary that satisfies the strongest verified requirement. A subnet or segment separates network attachment. An NSX VPC separates application networking,

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Green Hardware Does Not Mean a Ready AI Platform: Commissioning VCF Private AI Services

TL;DR A rack of healthy GPU servers is not a production-ready VCF Private AI platform. Production acceptance should prove the complete service chain: supported hardware, aligned ESXi and NVIDIA software, a healthy VCF 9.1 workload domain, stable NSX and shared infrastructure services, a ready Supervisor and VKS layer, functioning tenant controls, trusted Harbor and model

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