Learn how to launch a GPU Cloud with Rafay
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Building an AI factory? Learn how the Rafay Platform's Token Factory capabilities can monetize AI services.

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Elevate Infrastructure to Become a Launchpad for Innovation

Turn complex compute environments into self-service consumption engines for enterprises, service providers, neoclouds and sovereign AI clouds. With Rafay’s orchestration and workflow automation, your accelerated hardware gets transformed into  composable infrastructure—ready for critical AI and cloud-native (Kubernetes-based) workloads.

Trusted by leading enterprises, neoclouds and service providers

Alation
Amgen
Samsung
Moneygram
Genentech
Software
Palo Alto Networks
U.S. Air Force
Firmus
Buzz HPC
Indosat
Telus
Alation
Amgen
Samsung
Moneygram
Genentech
Software
Palo Alto Networks
U.S. Air Force
Firmus
Buzz HPC
Indosat
Telus
Alation
Amgen
Samsung
Moneygram
Genentech
Software
Palo Alto Networks
U.S. Air Force
Firmus
Buzz HPC
Indosat
Telus
BENEFITS

Unlock Cloud Native and AI Workloads with the Rafay Platform

Rafay offers the first-of-its-kind infrastructure orchestration and workflow automation platform that abstracts complexity and enables optimal developer productivity. By providing self-service consumption of environments and experiences, teams can effectively accelerate AI and cloud-native use cases for full lifecycle management. 

‍

Designed to operate in hybrid/multi-cloud and data center environments, the Rafay Platform simplifies provisioning, scaling, and the management of infrastructure at enterprise scale.

Data Scientists

ML researchers

Data engineer

gen ai developers

gen ai developers

cloud
services

Compute Services

Bare Metal

Virtual Machines

SLURM

Kubernetes

vCluster

Serverless
Pods

AI / ML

Model
Catalog

Storage
Namespace

Workbench

Traditional
Inferencing

gen ai  (token cloud)

Notebooks

Training

Serverless Inferencing

Fine Tuning

app marketplace

App
Onboarding

One-Click
Deployment

Metering
& Licensing

Branding

sku designer

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GPU Cloud 
Providers

  • Monetize GPUs with GPU-as-a-service

  • Enable inference and AI tooling at scale 

  • Launch branded clouds in sovereign  or public environments

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Enterprises Leveraging Private Clouds

  • Self-service access for secure AI/ML workloads

  • Kubernetes automation across cluster fleets in multiple clouds

  • Support for air-gapped and regulated deployments

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Enterprises Operating in Public Clouds

  • Unify AI infrastructure management 

  • Enable cost visibility and workload segmentation 

  • Accelerate time to value for developers

View USE CASES

Customer Stories

ANALYST INSIGHTS

What leading analysts say about Rafay

Cover of a report titled 'How Rafay Powers GPU Clouds' with additional text about evaluating the Rafay Platform for GPU Cloud in enterprises and service providers, authored by Justin Warren, dated December 2024.

How Rafay Powers GPU Clouds

Evaluating how the Rafay Platform delivers a GPU Cloud for enterprises and service providers.

Download report

Cover of a report titled 'The AI Infrastructure Solutions Landscape, Q3 2025' by RAFAY with a dark teal wavy pattern.

The AI Infrastructure Solutions Landscape, Q3 2025

Rafay featured in vendor focus for AI infrastructure extended use cases - enterprise applications.

Download report

Cover of the white paper titled 'Orchestrating the AI Future and How Rafay Powers Enterprise-Grade GPU Infrastructure' by theCUBE Research, dated May 2025.

Orchestrating the AI Future and How Rafay Powers Enterprise-Grade GPU Infrastructure

2025 - A CIO’s guide to scalable, compliant, and developer-ready AI deployment.

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WHAT CUSTOMERS SAY ABOUT RAFaY - CASE STUDY

Guardant Health Chooses Rafay for Kubernetes Operations for Mission-Critical Analytics

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Guardant Health is a leading precision oncology company dedicated to helping conquer cancer. The Rafay Platform's cloud-native management capabilities support on-prem and cloud deployments, enabling developers to quickly build, test and deploy applications faster.

Learn more

MORE CASE STUDIES

Featured Resources

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.

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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.

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

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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.

Download now

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.

Download now

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

Download now

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