The Definitive
PaaS Reference Architecture
for GPU Clouds and Enterprises

Supercharge AI adoption by delivering AI applications and tools on NVIDIA-powered hardware.

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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)

Architects and Platform Teams at Leading Companies Use Rafay's PaaS for Modern Infrastructure and AI

As a result they focus 100% on innovation and 0% on modern infrastructure

Move fast and innovate

when dependable, self-service access to cloud resources is available to anyone who needs it for development or testing.

Manage self-service workflows

across any public or private cloud environment, ensuring that all compliance, security, and financial requirements are met.

Increase efficiency

across CPU- and GPU-based workloads with standardized configs and management workflows across all teams from a single console.

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 Platform Teams

Every modernizing enterprise has complicated cloud infrastructure, and they’re building automation to hide its complexity from its users. But they shouldn’t have to.

Rafay bridges the complexity gap and automates self-service cloud infrastructure workflows, so your business can focus on rapid innovation rather than cloud management. Our solution allows platform teams to enable developers and cloud users who depend on rapid access to infrastructure to move faster safely.

Accelerate Cloud-native Adoption

Leverage Rafay to standardize and centralize landing zones and Kubernetes environments, deliver self-service workflows, and keep infrastructure costs low

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Accelerate AI/ML Adoption

Easily manage the underlying AI infrastructure and AI/ML tooling your data scientists need to innovate faster, with guardrails included.

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Benefits Realized Across the Organization

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

GPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments

April 19, 2025 / by Mohan Atreya

Enterprises are turning to AI/ML to solve new problems and simplify their operations, but running AI in the datacenter often compromises performance. Edge inference moves workloads closer to users, enabling low-latency experiences with fewer overheads, but it’s traditionally… Read More

Democratizing GPU Access: How PaaS Self-Service Workflows Transform AI Development

April 11, 2025 / by Gautam Chintapenta

A surprising pattern is emerging in enterprises today: End-users building AI applications have to wait months before they are granted access to multi-million dollar GPU infrastructure.  The problem is not a new one. IT processes in… Read More

Rafay and Netris: Partnering to speed up consumption and monetization for GPU Clouds

March 12, 2025 / by Haseeb Budhani

Rafay, a pioneer in delivering platform-as-a-service (PaaS) capabilities for self-service compute consumption, and Netris, a leader in networking Automation, Abstraction, and Multi-tenancy for AI & Cloud operators , are collaborating to help GPU Cloud Providers speed up consumption… Read More

Try it for Free

See for yourself how Rafay delivers the automation developers and operations want with the right level of standardization, control and governance platform teams need from a Kubernetes Management System!

 

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