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AI Clouds, Neoclouds, GPU-driven Cloud: whatever their name, these newer operators are rapidly gaining attention with their efficient and AI-ready approach to Cloud architectures, designed to handle specialized workloads and meet the evolving needs of modern enterprises. But what exactly makes them different from traditional offerings? In this episode, we will clarify key concepts and terminology, while exploring real-world industry examples of adoption. In particular we address:

• How operating models differ between AI Cloud and traditional platforms
• Enterprise use cases for the AI Cloud, and how they approach trust, security, and compliance
• How hardware and software specialization is influencing the Cloud economy
• Will AI drive a new era of specialized Cloud?