# Rafay-powered Managed Kubernetes as a Service (MKS)

Rafay-powered Managed Kubernetes as a Service (MKS) delivers fully managed, GPU-ready Kubernetes clusters as a governed, self-service offering, built on Rafay MKS, an upstream Kubernetes distribution for bare metal and virtual machines. Rafay streamlines every stage of Kubernetes operations, provisioning, securing, and managing the full cluster lifecycle across public, private, air-gapped, and sovereign environments.

- **Automated Lifecycle:** Run multiple Kubernetes versions with automated, non-disruptive upgrades and rollbacks fleet-wide from one control plane.
- **Governance by Default:** Enterprise-grade multi-tenancy, RBAC, and Zero Trust Kubectl, with secure access without VPNs or bastions.
- **AI/ML Conformant:** Rafay MKS holds CNCF Kubernetes AI Conformance for v1.35, with integrated GPU scheduling for training and inference.

## Simplify Cluster Management and Lifecycle Automation

_One control plane provisions, governs, and scales clusters across every environment_

### **Automated Cluster Lifecycle**

On-demand provisioning, upgrades, scaling, and Day-2 operations fleet-wide, with multi-version support

### **AI/ML Ready**

Integrated GPU operator and GPU scheduling for training and inference out of the box

### **Network Automation & CNI**

Cilium, Calico, Flannel, or your own CNI, plus load balancer and ingress integration

### **Zero-Trust Access**

Per-tenant isolation, RBAC, and zero-trust kubectl access on every tenant

## Deliver Secure, Compliant, and Efficient Kubernetes Services

### Deliver a governed managed Kubernetes service in weeks, not months

### Lifecycle automation removes config churn, so one control plane operates the fleet with a small platform team

### Zero-trust access, RBAC, and sovereign deployment open regulated markets hyperscalers cannot serve

### Run AI and ML workloads on a CNCF AI-conformant foundation with integrated GPU scheduling

## Featured Resources

### **Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay**  
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.

### **The Definitive GPU PaaS Reference Architecture**  
Understand what it takes to deliver the right GPU infrastructure to your business.

### **Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud**  
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

### **The CIO’s guide to scalable, compliant, and developer-ready AI deployment**  
Orchestrating the future of AI: The CIO’s guide to scalable, compliant, and developer-ready AI deployment

### **Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes**  
The latest Radar report from GigaOm, Managed Kubernetes Rafay is ranked as an “Outperformer” for its solution.

### **Building AI Value within Borders**  
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.

### **GPU cloud evaluation report**  
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.

### **How Enterprise Platform Teams Can Accelerate AI/ML Initiatives**  
This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.

## Testimonial

Joe Vaughan  
Chief Technology Officer, MoneyGram  
“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”

## Hybrid Cloud Meets Kubernetes

Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay  
[DOWNLOAD](https://info@rafay.co/resources/white-papers/hybrid-cloud-meets-kubernetes-how-to-reduce-complexity-with-amazon-eks-eks-d-and-rafay-systems)