Go from GPUs to self-service, multi-tenant GPU Clouds in days

A couple of hours is all it takes to experience what so many enterprises and cloud providers have already experienced.

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Trusted by leading companies

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)

Rafay supports organizations undertaking cloud-native and AI initiatives by providing a Platform-as-a-service stack

As a result, customers can maximize their infrastructure ROI within a matter of weeks versus months.

Accelerate time-to-market.

Treat multi-cloud compatibility and management headaches with seamless integration capabilities that use popular MLOps tools and frameworks to minimize developer setup time and close security and performance gaps.

Power self-service consumption of compute.

Empower platform and devops teams with easy access to Kubernetes and GPU resources and tools, reducing reliance on IT operations.

Simplify operations across CPU- and GPU-based workloads.

Streamline the deployment and management of AI/ML pipelines with automated workflows and CI/CD integrations.

Recognized by Industry Experts

“Platform engineering teams, cloud architects and I&O leaders can benefit from Rafay’s centralized automation and governance of Kubernetes clusters.”

Dennis Smith, Arun Chandrasekaran, Tony Iams
Gartner

“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 Warren
GigoOm

Built for Enterprises & GPU Cloud Service Providers

While traditional infrastructure struggles to keep up with the scale and speed of modern AI and cloud-native workloads, Rafay sees opportunity to elevate environments to their full potential.

The Rafay Platform stack alleviates cost concerns, infrastructure complexities, and operational inefficiencies. The unified offering allows platform and devops teams to confidently and securely accelerate the delivery of cloud-native and AI-powered applications with renewed spirit and innovative efficacy.

Streamline Cloud-native Adoption

Leverage Rafay to simplify Kubernetes management across hybrid and multi-cloud environments, all within one platform.

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Accelerate AI Application Delivery

Easily manage underlying AI infrastructure and AI/ML tooling within a robust, user-friendly platform.

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Rafay's Customers See Immediate Value

63%

lower cloud costs

4x

more frequent deployments

76%

lower MTTR

Download the Analyst Report

How Rafay Powers GPU Clouds

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

"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

"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

“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

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

Kumud Kalia

CIO

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

Rakesh Singh

Senior Director, Cloud & DevOps

"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

Proud Member of the Kubernetes Community

Rafay is a proud member of the CNCF and a Certified Kubernetes Service Provider. Our customers can leverage our Certified Kubernetes distribution and work hand-in-hand with our team of Certified Kubernetes Admins (CKAs).

 

Our Commitment to Open Source

Recent Posts from The Kubernetes Current Blog

Introducing Serverless Inference: Team Rafay’s Latest Innovation

May 8, 2025 / by Amitabh Dey

The GenAI revolution is in full swing, and for NVIDIA Cloud Partners (NCPs), GPU Cloud Providers (aka GPU Clouds), and Sovereign Cloud operators, it presents a significant opportunity. To keep up with market demands, NCPs and GPU Clouds… Read More

IaaS vs PaaS vs SaaS: The Cloud Computing Stack Demystified

May 16, 2025 / by Angela Shugarts

In today’s cloud-first world, understanding the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) is essential for IT decision-makers. These three core cloud models form the… Read More

What Is Platform as a Service (PaaS)?

May 8, 2025 / by Angela Shugarts

What Is Platform as a Service (PaaS)? Platform as a Service (PaaS) is a cloud computing model, often referred to as the PaaS model, that provides a robust framework for developers to build, test, deploy, and manage applications… Read More

What is a GPU PaaS?

May 8, 2025 / by

GPU Platform as a Service (GPU PaaS) is a cloud-native model that gives developers and data scientists secure, on-demand access to GPU resources for running AI, GenAI, and ML workloads.Rafay’s GPU PaaS™ stack… Read More

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