Unlock AI Efficiency with NVIDIA MIG vGPU Multitenancy on Kubernetes with SUSE Virtualization
SUSE, March 24,2026
GPU capacity is one of the most expensive and constrained resources in modern AI infrastructure. Training, inference, analytics, and MLOps pipelines often compete for the same GPU hardware while workloads can use a fraction of a full GPU, leaving costly capacity idle.
At KubeCon EU 2026, SUSE Virtualization introduces native support for NVIDIA Multi‑Instance GPU (MIG) vGPU partitioning. Harvester automatically detects MIG capable GPUs and exposes isolated GPU instances to virtual machines. Meaning multiple VMs can share a single physical GPU as if they were completely separate GPUs while maintaining dedicated compute, memory bandwidth, and fault isolation.
This allows organizations to run AI workloads and traditional virtual machines on the same open platform with complete GPU multitenancy.