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Nutanix Enterprise AI: Private AI When Governance Matters as Much as Placement

Private AI does not always fail because the model is wrong. It often fails because the organization never defines the control point. The first team deploys a model. Another team connects an agent. A developer experiments with a hosted LLM. A business unit wants internal document search. Security asks which data sources the agent can

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Recovery During Platform Transformation: Protecting Mixed Versions, Mixed Hypervisors, and In-Flight Migrations

Introduction Platform transformation is usually planned as a sequence of discoveries, upgrades, replication jobs, test migrations, cutovers, and decommissioning activities. Recovery is often treated as a separate operational concern that will somehow continue working while those activities occur. That assumption is dangerous. During a VMware upgrade, hypervisor migration, or multiyear platform replacement, the environment contains

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Anthropic says it never sought ban on open-weight AI models; CEO calls for chip controls, safety testing

Artificial intelligence company Anthropic has clarified that it does not support a blanket ban on open-weight AI models, with CEO Dario Amodei arguing that policy efforts should instead focus on preventing advanced AI chips from reaching authoritarian regimes, curbing industrial-scale model distillation, and mandating safety testing for powerful AI systems.

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