Public preview: Kubernetes AI Toolchain Operator (KAITO) add-on for AKS

The Kubernetes AI Toolchain Operator (KAITO) add-on for AKS is now available in preview. You can now run specialized machine learning workloads like large language models (LLMs) on AKS more cost-effectively and with less manual configuration. The add-on is based on the open-source Kubernetes AI Toolchain Operator (KAITO). Streamlined to a few steps, the AI toolchain operator add-on for AKS automates LLM deployment across available CPU and GPU resources by selecting optimally sized infrastructure for the model. This add-on makes it possible to easily split inferencing across multiple lower-GPU count VMs, increasing the number of Azure regions where workloads can run, eliminating wait times for higher GPU-count VMs, and lowering overall cost. You can also choose from preset models with images hosted by AKS, significantly reducing overall inference service setup time on your cluster. [Learn more](https://aka.ms/aks/ai-toolchain-operator). * Azure Kubernetes Service (AKS) * Features * [ Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-gb/products/kubernetes-service/)