The rise of AI/ML and other high-performance workloads has made specialized hardware like GPUs, TPUs, and FPGAs a critical component of many Kubernetes clusters. However, as discussed in a previous blog post about navigating failures in Pods with devices, when this hardware fails, it can be difficult to diagnose, leading to significant downtime. With the release of Kubernetes v1.34, we are excited to announce a new alpha feature that brings much-needed visibility into the health of these devi...| Kubernetes