The Rafay Platform

The Rafay Platform is the infrastructure orchestration and workflow automation platform for enterprise AI and cloud-native use cases. The Rafay Platform delivers optimal developer productivity through self-service consumption of environments and experiences, making infrastructure truly composable.

With Rafay, developers and data scientists see 4x faster deployments and 63% lower costs (on average), allowing them to experiment faster, ship new capabilities and features quicker, reduce infrastructure waste, increase utilization and drive better business outcomes.

Trusted by leading enterprises, neoclouds and service providers

Learn Why Customers Rave About Rafay

4x faster deployments
63% lower cloud costs
0 cognitive load & controllers to manage

"With Rafay, we have complete peace of mind that our K8s clusters & apps are operating efficiently and securely."

Mike Kail
CTO, Everest

Our focus on democratizing AI across India demands for us to move at lightning speed to deliver high-value data science experiences to developers. In working with NVIDIA and Rafay to deliver a PaaS for AI and GPU consumption, we are delivering the self-service experience developers and enterprises across India are looking for.

Sharad Sanghi
Founder and CEO, Neysa AI, Neysa

“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”

Joe Vaughan
Chief Technology Officer, MoneyGram

We are thrilled to have collaborated with NVIDIA and Rafay in evaluating, and defining requirements for, a Platform-as-a-Service layer for AI application consumption. As part of the Indosat group, Lintasarta is playing a crucial role in not only paving the way for us to become an AI-native TechCo, but is also playing a leadership role in the industry to help steer the AI revolution in the right direction.

Vikram Sinha
President, Director, and CEO of Indosat Ooredoo Hutchinson (parent company of Lintasarta), Indosat Ooredoo Hutchinson

“One single tool, one single process, one single knowledge base helps us achieve efficiency. Less chaos, less complexity.”

Rakesh Singh
Senior Director, Cloud & DevOps, Regeneron

Our work with Rafay in publishing the Platform-as-a-Service (PaaS) reference architecture gives enterprises, NVIDIA Cloud Partners (NCPs) and other GPU Cloud providers a path to delivering accelerated computing infrastructure, along with AI applications, in days. With the AI market moving so fast, time-to-market is key, and the Rafay Platform is a powerful enabler for NVIDIA customers looking to move fast.

Justin Boitano
VP, Enterprise AI at NVIDIA, NVIDIA

"Rafay has streamlined the management and operations of 100+ Amazon EKS clusters while helping us enable developer self-service."

Sharmila Ramar
Global Head of Cloud , Devops & Data Management, MassMutual

"Choose packaged software distributions or cloud-managed services for production deployments that integrate different technology components, simplify life cycle management of that stack and provide multi-cloud management rather than a DIY approach."

Arun Chandrasekaran
CTO’s Guide, Gartner

"Rafay’s thought leadership and white glove support has been fantastic."

Kumud Kalia
CIO, Guardant Health

"The big draw was that you could centralize the lifecycle management & operations."

Beth Cohen
Cloud Technology Strategist, Verizon Business

“Rafay was up and running quickly, easy to use, and allowed us to deploy & manage standardized clusters anywhere."

Greg Saunders
Director of Cloud Engineering, Inpixon

"Easily operate and rapidly deploy applications anywhere across multi-cloud and edge environments."

Aamir Hussain
SVP Chief Product Officer, Verizon Business

"Rafay stood out from the crowd with their deep integration with Amazon EKS."

Jayant Thakre
VP Products, SonicWall

"Rafay’s unified view for Kubernetes Operations & deep DevOps expertise has allowed us to significantly increase development velocity."

The Definitive GPU PaaS Reference Architecture

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

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