DRA: A new era of Kubernetes device management with Dynamic Resource Allocation

The explosion of large language models (LLMs) has increased demand for high-performance accelerators like GPUs and TPUs. As organizations scale their AI capabilities, the scarcity of compute resources is sometimes the primary bottleneck. Efficiently managing every GPU and TPU cycle is no longer just a recommendation — it’s an operational necessity.