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Explores running AI workloads inside nested virtualization layers, detailing performance trade-offs, hardware requirements (VT-x/AMD-V, SR-IOV, GPU passthrough), and orchestration with KVM, Hyper-V, and cloud stacks. Covers isolation, reproducibility, MLOps CI/CD, security boundaries, and benchmarking tips to balance flexibility with efficiency.