[In preview] Public Preview: KAITO managed add-on now available in the AKS Visual Studio Code extension

The AI toolchain operator (KAITO) managed add-on is now available in the Azure Kubernetes Service (AKS) Visual Studio Code extension. With an intuitive and visually engaging UI, this add-on is designed to simplify AI inference development. Customers can e Source: Microsoft Azure – aggiornamenti

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[Launched] Generally Available: Force attach/detach API support in AKS

With the release of Kubernetes v1.30, the Azure Disk CSI driver has adopted the force detach capability. This feature allows the driver to force detach zone-redundant storage (ZRS) data disks from VM nodes in a failed zone and attach them to another VM, r Source: Microsoft Azure –[…]

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[In preview] Public Preview: Windows GPU – Driver type selection

AKS now supports GPU-enabled Windows node pools, in public preview, to run compute-intensive Kubernetes workloads. AKS specifies a default GPU driver type for each supported GPU-enabled VM. Because workload and driver compatibility are important for funct Source: Microsoft Azure – aggiornamenti

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[Launched] Generally Available: Open-source feature update: vLLM model serving in KAITO

KAITO now supports high throughput model serving with the open-source vLLM serving engine. In the KAITO inference workspace, you can deploy models using vLLM to batch process incoming requests, accelerate inference, and optimize your AI workload by defaul Source: Microsoft Azure – aggiornamenti

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[In preview] Public Preview: IMDS restriction support in AKS

Currently, all pods on AKS nodes can access the AKS worker node’s Azure Instance Metadata Service (IMDS) endpoint. AKS now offers a managed solution that restricts IMDS endpoint access for customer pods. Only AKS system pods and user pods with host networ Source: Microsoft Azure – aggiornamenti

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