Rafay Customers | Trusted by AI Infrastructure & GPU Cloud Leaders

Rafay Customers Cut Cloud Costs by 63% and Deploy 4× Faster

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."

Sharad Sanghi

Founder and CEO, Neysa AI

"Our focus on democratizing AI across India demands for us to move at lightning speed to deliver high-value data science experiences to developers."

Joe Vaughan

Chief Technology Officer, MoneyGram

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

Vikram Sinha

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

"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."

Rakesh Singh

Senior Director, Cloud & DevOps, Regeneron

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

Justin Boitano

VP, Enterprise AI at NVIDIA

"The Rafay Platform is a powerful enabler for NVIDIA customers looking to move fast."

Sharmila Ramar

Global Head of Cloud , Devops & Data Management, MassMutual

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

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