Rafay-Powered Managed Kubernetes as a Service (K8SaaS) | Rafay Platform
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
The Definitive GPU PaaS Reference Architecture
Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
Building AI Value within Borders
How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”
Joe Vaughan
Chief Technology Officer, MoneyGram
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