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Stop Losing GPU-Hours to Job Failures: Fault-Tolerant AI Infrastructure with Rafay and Clockwork

At scale, AI training jobs fail every few hours, and each failure burns GPU-hours. Clockwork AI Fault Tolerance and AI Fabric Observability are now a turnkey option on the Rafay Platform. Turn them on once with a blueprint, and they apply across every GPU cluster in the fleet.

The Open Model Opportunity: How Enterprises Can Control AI Costs and Providers Can Build a Token Business

Token prices are falling, yet enterprise AI bills keep rising. Here's how hybrid model portfolios, open-model delivery, and token-based economics change the equation for enterprises and GPU providers.

Compute Is the New Revenue: What I Heard at the AI Infra Summit

At the AI Infrastructure Summit, leaders from NVIDIA and Rafay discussed the financial shift in AI buildouts. Explore the four tiers of AI infrastructure monetization and discover why scaling up the value chain efficiently is critical for operators.

Rafay AI Summit Day 1: Our Biggest Takeaways on Building Profitable AI Businesses

Nebius Token Factory vs. Rafay: Buying Inference vs. Building an Inference Business

Compare Nebius Token Factory vs Rafay to decide whether to buy managed AI inference or build a token-metered inference business on your GPU fleet.

How Rafay Turns NeoClouds and Telco AI Clouds into Token-Metered Revenue Engines

Learn how telcos and NeoClouds can turn sovereign AI infrastructure into token-metered services with Rafay, enabling inference APIs, billing, governance, and monetization.

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.

Building Africa’s Sovereign AI Factory | Cassava Technologies and Rafay

Watch the discussion to hear how Cassava Technologies and Rafay are helping create the operational foundation for Africa’s AI future.

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.

How Global NeoClouds Turn GPU Infrastructure Into AI Services

The Rafay Platform helps cloud providers transform GPU infrastructure into secure, multi-tenant AI platforms. Helping neoclouds worldwide from Asia, Europe, Africa and more.

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

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.

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.