Resources

Economics of the Rafay Token Factory

Measured production data showing how GPU operators can boost annual revenue per GPU by 2x–4.8x by shifting from hourly rental to token-metered AI services.

NCP Guide

What it takes to operate a multi-tenant AI cloud as an NVIDIA Cloud Partner

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

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.

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.

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.

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.

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.

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. Read this data sheet to learn how Rafay’s Cost Management Service helps in: Centralized Cluster Cost Management : More effectively operationalize and allocate Kubernetes cloud costs across teams in shared cluster and multi-tenant scenarios.

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.

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.

AI Token Factory

AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption.

Kubernetes Office Hours: Streamlining EKS Cluster Lifecycle Management on AWS

Get your K8s questions answered while learning about Amazon EKS CLM!

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.

Meet the Easy Button for AWS EKS Multi-Cluster Management

Learn how easy managing Amazon EKS can really be

Multi-Cluster Management & Operations

Tips and tricks for managing and operating multiple clusters

Should You Build or Buy A Kubernetes Management Platform?

Learn how to weight the costs of building vs. buying a Kubernetes infrastructure

Best Practices for Running Kubernetes

Learn the best practices from certified Kubernetes experts

The World’s Leading NeoClouds Run on Rafay

The Rafay Platform gives NeoCloud operators the foundation to deliver self-service AI compute across bare metal, virtual machines, Kubernetes, SLURM, and inference workloads.

How Neoclouds Are Reshaping Global AI Infrastructure | Rafay CEO Haseeb Budhani

Haseeb Budhani, CEO and co-founder of Rafay Systems, joins theCUBE to discuss the rise of neoclouds, the global demand for AI infrastructure, and what providers must do to move beyond raw GPU capacity.

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.

GigaOm: CEO SPEAKS interview with Rafay CEO Haseeb Budhani

Powering GPU Cloud Billing: Rafay + Monetize360 Integration

The Cube Interview with Rafay’s CEO Haseeb Budhani

From AI PODs to GPU Cloud: How Cisco and Rafay Deliver Production-Ready, Multi-Tenant AI Infrastructure

Cloud Harmony: Eliminating Infrastructure Siloes

Streamline AI/ML Adoption: Expert Strategies to Conquer IT Hurdles and Accelerate Growth

Unleashing Developer & Cloud Ops Superpowers: Boost Productivity with Next-Level Infrastructure

The Rafay Platform Demo: Multi-Tenancy

The Rafay Platform Demo