# Ankur Pandita

## Bring Rafay Into Your AI Workflows with the Rafay MCP Server  
The Rafay MCP Server brings secure, AI-assisted visibility to Kubernetes and platform operations, letting teams use natural language to inspect clusters, workloads, blueprints, and environments through MCP-compatible AI tools.  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/bring-rafay-into-your-ai-workflows-with-the-rafay-mcp-server)

## Kubernetes v1.36 for Rafay MKS  
Support for Kubernetes v1.36 (codename Haru) is now available on the Rafay Operations Platform for MKS cluster types, covering both new cluster provisioning and in-place upgrades. Every Rafay platform feature has been validated on this release, and v1.36 clusters managed by Rafay are CNCF conformant.  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/kubernetes-v1-36-for-rafay-mks)

## No More SSH: Control Plane Overrides for Rafay MKS Clusters  
Say goodbye to SSH access and manual cluster fixes. Learn how control plane overrides bring secure, centralized control to Kubernetes operations.  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/no-more-ssh-control-plane-overrides-for-rafay-mks-clusters)

## Accelerating the AI Factory: Rafay & NVIDIA NCX Infra Controller (NICo)  
Learn how Rafay and NVIDIA NCX Infrastructure Controller (NICO) help enterprises operationalize AI factories—turning GPU infrastructure into scalable, self-service, and governed AI platforms.  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/accelerating-the-ai-factory-rafay-nvidia-ncx-infra-controller-nico)

## Interact with Your Rafay Managed Kubernetes Clusters Using MCP-compatible AI clients  
Learn how to securely enable AI assistants to interact with Rafay-managed Kubernetes clusters using MCP and Zero Trust Kubectl Access (ZTKA), ensuring RBAC enforcement, auditability, and zero exposed endpoints.  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/interact-with-your-rafay-managed-kubernetes-clusters-using-mcp-compatible-ai-clients)

## Kubernetes v1.35 for Rafay MKS  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/kubernetes-v1-35-for-rafay-mks)

## Managing Environments at Scale with Fleet Plans  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/managing-environments-at-scale-with-fleet-plans)

## Kubernetes v1.34 for Rafay MKS  
Users of the Rafay platform can provision new clusters based on Kubernetes v1.34 using the supported interfaces.  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/kubernetes-v1-34-for-rafay-mks)

## Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/dynamic-resource-allocation-for-gpu-allocation-on-rafays-mks-kubernetes-1-34)

## Upstream Kubernetes on RHEL 10 using Rafay  
[Read Now](https://mailto:Info@rafay.co/ai-and-cloud-native-blog/upstream-kubernetes-on-rhel-10-using-rafay)