The Definitive PaaS Reference Architecture for GPU Cloud Providers & Enterprises

Enterprises and Cloud Providers leverage the Rafay Platform to deliver self-service consumption of AI and cloud-native infrastructure to developers and data scientists.

By delivering a GPU PaaS™ experience, teams can:

• Allocate GPU infrastructure in a self-service manner.
• Programmatically offer various flavors and sizes of GPU and compute resources.
• Support out-of-the-box integrations with NVIDIA services in a turnkey fashion.

Trusted by leading enterprises, neoclouds and service providers

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Enabling Self-Service Consumption of GPUs and AI Applications with Nvidia

Self-Service GPU & AI App Consumption with NVIDIA and Rafay | Platform Demo - YouTube

Self-Service GPU & AI App Consumption with NVIDIA and Rafay | Platform Demo

Featured Resources

Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay

Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.

Learn More](https://mailto:Info@rafay.co/white-papers/operationalizing-ai-fabrics-with-aviz-ones-nvidia-spectrum-x-rafay)

The Definitive GPU PaaS Reference Architecture

Understand what it takes to deliver the right GPU infrastructure to your business.

Learn More](https://mailto:Info@rafay.co/nvidia-reference-architecture)

Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud

Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

Learn More](https://mailto:Info@rafay.co/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud)

The CIO’s guide to scalable, compliant, and developer-ready AI deployment

Orchestrating the future of AI: The CIO’s guide to scalable, compliant, and developer-ready AI deployment

Learn More](https://mailto:Info@rafay.co/research/silicon-media-analyst-report)

Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes

The latest Radar report from GigaOm, Managed Kubernetes Rafay is ranked as an “Outperformer” for its solution.

Learn More](/content/resources/white-papers/rafay-named-outperformer-in-2025-gigaom-radar-report-for-managed-kubernetes/index.html)

Building AI Value within Borders

Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.

Learn More](/content/resources/accenture-whitepaper/index.html)

GPU cloud evaluation report

Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.

Learn More](https://mailto:Info@rafay.co/resources/white-papers/gpu-cloud-evaluation-report)

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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.

Learn More](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html)