Dynamic Resource Allocation

A developer explains how Kubernetes scheduling, autoscaling, and model-serving patterns must adapt to handle GPU-accelerated AI workloads. The post highlights challenges such as gang scheduling, topol…

Kubernetes 1.37, releasing August 26, brings pod-level resources to stable, DRA device taints to GA, and advances GPU partitioning, addressing the 5% average GPU utilization measured by Cast AI across…

Google engineers deployed a Gemma 3 large language model across two GKE clusters in separate regions, using four TPU v6e chips per cluster, to test multi-cluster failover with the Inference Gateway. T…