Overview
OpenShift's Dynamic Resource Allocation (DRA) for AI Workloads is designed to optimize the management of specialized resources like GPUs, critical for running AI/ML and large language model (LLM) inference workloads. By using flexible, dynamic requests for high-performance hardware, OpenShift empowers users to meet demanding AI application needs with cost-effective, real-time resource scaling and efficient workload scheduling.