The AI-Ready Cluster Is Different: GPU Placement, Memory Tiering, Storage Policy, and Lifecycle Windows
Traditional virtualization design habits do not automatically translate to inference-heavy AI platforms. That is not because virtualization suddenly stopped being useful. It is because the constraint model changed. For years, many virtualization clusters were designed around CPU consolidation, memory overcommit, shared storage resilience, and generalized mobility. That model worked well for mixed enterprise workloads where […]