In this screencast, we demonstrate how to create a Kubernetes cluster through the OpenNebula graphical interface, add GPU-enabled nodes, and connect Kubernetes to NetApp storage using Trident CSI.
You’ll see how to:
– Create a Kubernetes cluster and add a GPU-enabled node group.
– Connect the cluster to NetApp storage using Trident CSI.
– Access a pre-populated persistent volume containing the input dataset and model weights.
– Run an AI inference workload on an NVIDIA GPU and write the results back to persistent storage.
– Verify data persistence by removing the workload and accessing the original data and generated results from a new pod.
See how OpenNebula and NetApp simplify the deployment of GPU-accelerated AI workloads while keeping data persistent and accessible across Kubernetes workloads.
About OpenNebula’s integration with NetApp: https://opennebula.io/opennebula-netapp-for-enterprise-and-ai-clouds/
Meet OpenNebula at NVIDIA GTC Berlin 2026: https://opennebula.io/events/nvidia-gtc-event/
#OpenNebula #NetApp #NVIDIA #Kubernetes #AIInfrastructure #GPUInference #PersistentStorage
