Category: Azure

You can now choose from preset LLMs with images hosted by AKS and split inferencing across multiple lower-GPU count VMs

You can now better understand the infra costs associated with running applications at the namespace and cluster levels and identify opportunities to optimize resource utilization through an Azure native experience.

You can now schedule workloads in Fleet based on cost and availability of resource heuristics.

YOu can now use Gen 2 VM SKUs for Windows nodepools in AKS.

You can now run GPU workloads, such as machine learning, video encoding, large simulations, and gaming, on Windows nodepools in AKS.

You can now take advantage of Kubernetes 1.29 version with AKS in production environment.