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Compute Domains: Bringing Multi-Node NVLink Awareness to Kubernetes

Learn how compute domains and multi-node NVLink enable high-performance, distributed GPU workloads in Kubernetes, improving scalability, resource utilization, and AI infrastructure efficiency.

NVIDIA Dynamo: Turning Disaggregated Inference Into a Production System

Discover how NVIDIA Dynamo turns disaggregated inference into a production-ready system, enabling scalable, efficient AI services with better resource utilization and operational control.

Introduction to Disaggregated Inference: Why It Matters

Learn how disaggregated inference improves GPU utilization, scalability, and cost efficiency by separating compute, memory, and serving layers—enabling more flexible, self-service AI infrastructure.

Token Factory Is Now Generally Available: How AI Factory Operators Can Monetize Token-Based AI Services

Rafay Token Factory enables AI factory operators to monetize GPU infrastructure with token-based AI APIs, metering, and self-service consumption at scale.

Scaling Trust: The Fortanix and Rafay Integration for Enterprise Confidential AI

Learn how the Fortanix and Rafay integration enables confidential AI for enterprises—protecting sensitive data while running AI workloads on secure, governed GPU platforms.

NVIDIA AICR Generates It. Rafay Runs It. Your GPU Clusters, Finally Under Control

NVIDIA AI Cluster Runtime (AICR) simplifies AI infrastructure deployment. Learn how Rafay operationalizes GPU clusters with governance, self-service access, and platform automation.

‍Rafay Launches AI Grid Orchestration Solution to Help Telcos Intelligently Deploy Distributed AI Infrastructure‍

Rafay, a member of the NVIDIA Inception program, brings infrastructure orchestration and workload automation to AI Grid architectures, enabling telcos and service providers to transform distributed GPU environments into a governed, self-service platform.

How Rafay Helps GPU Clouds Run Complex Hackathons at Scale

Discover how Rafay enables GPU cloud providers to run large-scale hackathons by instantly provisioning secure, ready-to-use GPU developer environments for thousands of participants.

Rafay Joins VAST Cosmos to Enable Governed GPU-Powered AI Services

Rafay has joined the VAST Cosmos Community as a Technology Partner, aligning its AI-native cloud control plane with the VAST AI Operating System to help organizations operationalize GPU-powered AI. Together, Rafay and VAST integrate governed compute orchestration and scalable data services, enabling NeoCloud providers and enterprises to transform raw infrastructure into consistent, production-ready AI platforms.

Bare Metal Isn’t a Business Model: How Cloud Providers Monetize AI Infrastructure

From Tickets to Self-Service: What Developers Now Expect from AI Infrastructure

Migrating Existing EKS Clusters to EKS Auto Mode

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

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.

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.

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.

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.

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.

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.