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Explores how to run and scale AI workloads on Proxmox through end-to-end automation. Covers building reproducible VM/container templates, enabling GPU passthrough, leveraging Proxmox APIs for provisioning, and integrating pipelines for training/inference. Highlights resource scheduling, monitoring, backup, and cost-smart scaling to deliver a robust, self-service AI lab or production platform.