Kubernetes Architect | Integration Expert | TIBCO Guru

GPU scheduling in Kubernetes used to be deceptively simple: install the NVIDIA device plugin, request nvidia.com/gpu: 1, and let the default scheduler find a node with one available GPU. That model got many clusters into production, but it encoded the wrong abstraction. A modern GPU is not just an integer. It has memory size, architecture, interconnect, topology, partitioning modes, sharing modes, and health state. Dynamic Resource Allocation (DRA) is Kubernetes’ answer to that mismatch. The core DRA APIs graduated to GA in Kubernetes 1.34, with the stable resource.k8s.io/v1 API enabled by default. In 2026, this matters because the ecosystem around…