Product
Unlock the Next Step: From Cisco AI PODs to Self-service GPU Clouds with Rafay
Read Now
ai-infrastructure
enterprises
gpu-cloud
gpu-paas
2025-10-20
SERVICES YOU CAN LAUNCH WITH THE RAFAY PLATFORM
Rafay-Powered Managed Kubernetes as a Service
Rafay-powered Managed Kubernetes as a Service (K8SaaS) enables service providers and enterprises to deliver fully managed Kubernetes clusters optimized for modern workloads.
Enterprises increasingly rely on Kubernetes to deploy and scale applications, but managing it at scale introduces complexity, from multi-version upgrades and patching to enforcing security and compliance. Rafay simplifies this by allowing organizations to offer self-service, governed Kubernetes clusters that combine agility with control.
Rafay’s platform delivers cloud-like flexibility with integrated monitoring, automation, and policy enforcement, making it possible to monetize and operationalize Kubernetes as a repeatable service.
Self-Service Provisioning: Tenants can launch and manage Kubernetes clusters instantly via portal or API.
Automated Lifecycle Management: Provisioning, scaling, patching, and upgrades are fully automated with no downtime.
Integrated Governance: Centralized visibility, RBAC enforcement, and security controls ensure compliance.
Automated Lifecycle Management: Provisioning, scaling, patching, and upgrades are fully automated with no downtime.
Integrated Governance: Centralized visibility, RBAC enforcement, and security controls ensure compliance.
Simplify Cluster Management and Lifecycle Automation
Rafay streamlines every stage of Kubernetes operations, removing the burden of manual cluster management while enabling consistent performance and governance.
Multi-Version Support
Run multiple Kubernetes versions with automated upgrades and rollbacks.
High Availability Control Plane
Multi-master setup with automated failover and distributed etcd delivers 99.9% reliability.
CNI Plugin Support
Flexible networking with Cilium, Calico, or Flannel for pod networking and policy control.
Zero-Trust Developer Access
Rafay Zero Trust Kubectl provides secure access without VPNs or bastions, backed by audit logging and identity-based controls.
Deliver Secure, Compliant, and Efficient Kubernetes Services
Launch fully managed cluster services in weeks, converting operational complexity into ready-to-consume offerings.
Automate upgrades, scaling, and patching to reduce operator overhead and maximize infrastructure ROI.
.svg)
Deliver compliant, zero-trust Kubernetes clusters with RBAC, isolation, and sovereign deployment options.
Standardize environments across hybrid and regional deployments with full visibility and control.
Featured Resources
Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
Download now
The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
Download now
Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
Download now
Gartner® Report – Market Trend: CSPs’ Opportunity to Capitalize on AI Infrastructure Through GPU as a Service
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
Download now
.png)
Building AI Value within Borders
“Rafay’s central orchestration platform facilitates efficient, self-service infrastructure and AI application management” writes Accenture | NVIDIA in 2025 Building AI Value Within Borders paper.
Download now
GPU Cloud Evaluation Report
Learn how to accelerate the ROI of your GPU infrastructure by quickly delivering a fully functional GPU Cloud with the self-service workflows and infrastructure orchestration of the Rafay Platform.
Download now
.png)
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.
Download now
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.
Download now
10 Multi-Tenancy Best Practices for Namespaces as a Service (NaaS)
The white paper promises to delve into Kubernetes multi-tenancy best practices, aiming to guide organizations in leveraging Kubernetes effectively for improved resource utilization and cost efficiency.
Download now
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
Most Recent Blogs
.png)
Product
Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)
Read Now
No items found.
2025-10-06
GPU/Neocloud Billing using Rafay’s Usage Metering APIs
Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.
Read Now
No items found.
2025-09-13
Try the Rafay Platform for Free
See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
