Content by PrabalDeb (1)
PrabalDeb lays out a practical reference architecture for running diffusion model workloads on Azure Kubernetes Service (AKS), focusing on GPU/CPU lane separation, dispatch and autoscaling options (Kubernetes-native vs Service Bus + KEDA), secure ingress and identity, durable storage for outputs and model caches, and end-to-end observability for both apps and GPU hardware.
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