Resource Library | Rafay
Resources
Learn more about the Rafay Platform with educational content and product information.
Case Studies
One of Canada’s Largest Telecom Companies, TELUS, Launches a Sovereign, Developer-Ready AI Studio Powered by Rafay
TELUS has built Canada’s first sovereign, developer-ready AI Studio, a production-grade environment designed to accelerate how enterprises, startups, and research institutions build, fine-tune, and deploy AI applications.
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Industry Leading Cruise Line Chooses Rafay to Modernize Business & Entertainment Applications at the Edge
Streamlining Kubernetes operations for edge applications deployed and operated across a large fleet of cruise ships.
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MoneyGram Accelerates Digital Transformation & Streamlines Amazon EKS Operations with Rafay
MoneyGram ushers in new era of edge applications & customer experiences.
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Fortune 50 Consulting Firm Replaces Rancher with Rafay
A Fortune 50 global consulting firm needed to modernize its Rancher Kubernetes stack that had become too costly and complex to operate
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Guardant Health Chooses Rafay for Kubernetes Operations
The oncology company chose containerization and Kubernetes as critical components of its technology stack.
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Rafay Accelerates SonicWall’s Adoption of Kubernetes and Amazon EKS
Learn how SonicWall benefits from Rafay's deep integration with Amazon EKS
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Whitepapers
Commercializing Telco Infrastructure
This playbook outlines a practical, phased approach for telecommunications providers to transform existing GPU infrastructure into a revenue-generating AI Factory in as little as 12 weeks
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From GPUs to Revenue: A Practical Guide to AI Factory Builds
Learn how to transform GPU infrastructure into a self-service, revenue-generating AI platform.
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AI-in-a-Box POC with Dell Technologies
The Dell APJ AI Innovation Hub has successfully completed an AI-in-a-Box Proof of Concept in collaboration with Rafay and NVIDIA.
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Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, & Rafay
Aviz ONES, NVIDIA Spectrum-X Ethernet, and the Rafay Platform deliver a unified solution turning GPU fabrics into governed, cloud-native environments, instantly consumable.
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GPU PaaS Reference Architecture with NVIDIA
Enterprises and Cloud Providers leverage the Rafay Platform to deliver self-service consumption of AI and cloud-native infrastructure to developers and data scientists.
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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.
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Datasheets
Data Sheet: Architecting the Right Foundation for AI with Rafay and Weka
Together, WEKA and Rafay provide the foundation for modern AI clouds, combining power-optimized storage with CSP-grade orchestration to help AI cloud providers, GPUaaS platforms, sovereign AI initiatives, and enterprises turn complex infrastructure into a self-service, multi-tenant AI platform.
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Rafay Enterprise PaaS Datasheet
Platform teams are designing modern cloud infrastructure for developers, data scientists, engineers, researchers, and other users, who depend on it to run CPU- and GPU-based workloads. With Rafay, they can manage the consumption of landing zones, environments, and Kubernetes resources for any user, in any infrastructure, at any scale, with governance over it all.
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Cost Management Service Brief
With Rafay’s Cost Management Service, Operations and FinOps teams have a centralized place to monitor Kubernetes consumption and costs in cloud and on-premises environments, enabling them to implement flexible chargeback and showback policies enterprise-wide.
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Network Policy Manager Service Brief
Network security configuration can be error-prone, time-consuming, and add operational overhead to manage and enforce multiple clusters. In addition, without the necessary security policy and enforcement, Kubernetes infrastructure network traffic is open to lateral movement, including ingress/egress and pod connectivity.
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GitOps Service Brief
Adopting GitOps as an operational model taking DevOps best practices used for application development such as version control, collaboration and compliance has become increasingly crucial to meet the demands of today's infrastructure. Rafay ’s GitOps Service enables continuous delivery through automated deployment, monitoring, and management of continuous deployment pipelines.
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AI Token Factory
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption.
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K8S Office Hours
Kubernetes Office Hours: Streamlining EKS Cluster Lifecycle Management on AWS
Get your K8s questions answered while learning about Amazon EKS CLM!
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Kubernetes Office Hours: Best Practices for Using GitOps on Amazon EKS
Learn the key principles of GitOps and difference between push-and pull-based workflows.
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Meet the Easy Button for AWS EKS Multi-Cluster Management
Learn how easy managing Amazon EKS can really be
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Multi-Cluster Management & Operations
Tips and tricks for managing and operating multiple clusters
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Should You Build or Buy A Kubernetes Management Platform?
Learn how to weight the costs of building vs. buying a Kubernetes infrastructure
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Best Practices for Running Kubernetes
Learn the best practices from certified Kubernetes experts
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Videos
The Rise of Neo Clouds and Self-Service AI Infrastructure
This interview was conducted by JetStor at Supercomputing 2025 and features Rafay Chief Product Officer Mohan Atreya on the rapidly changing AI infrastructure landscape.
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