Multitenant AI inference with dynamic resource allocation on OpenShift

This blog post explores the integration of Kubernetes dynamic resource allocation (DRA) with NVIDIA Multi-Instance GPU (MIG) technology on OpenShift to optimize GPU resource utilization for AI inference tasks. It details a demonstration where two instances of a Llama 3.1 model are run concurrently on a single NVIDIA H100 GPU, showcasing the advantages of hardware-level isolation and significant cost savings by improving resource efficiency. The guide covers setup prerequisites, detailed configuration steps, and the practical implications of this approach for developers.