Turnkey Deployment of NVIDIA AI Data Centers

This hands-on course teaches students how to stand up a complete, production-style NVIDIA AI data center from bare metal. Students work inside isolated tenant environments and use NVIDIA Base Command Manager (BCM) to provision servers over Redfish/PXE, bootstrap a Kubernetes cluster, deploy the NVIDIA GPU Operator, install the ClearML MLOps platform, and configure advanced GPU orchestration (hardware MIG slicing and software fractional GPUs).

By the end of the course, students will have built a fully functional, multi-tenant AI platform that includes persistent storage, secure public ingress, model serving, and a timed disaster-recovery drill — the same operational patterns used in real NVIDIA DGX and enterprise AI clusters.