The Rafay Platform - FOR CLOUD INFRA MANAGEMENT

Accelerate Cloud-Native Infrastructure Management

Running AI/ML workloads on Kubernetes? Rafay's infrastructure orchestration and workflow automation platform simplifies the complexities of managing cloud-native environments.

The Rafay Platform’s multi-tenant foundation speeds up innovation through faster experimentation, faster shipment of new capabilities and features, reduction in infrastructure waste, increased utilization and the manifestation of better business outcomes.

With Rafay, platform engineering teams deliver self-service consumption to developers and data scientists, enforce governance and control across hybrid environments, and keep infrastructure costs low. Standardize landing zones, centralize Kubernetes environments, and more.

How it works

Take Control Over Kubernetes and Cloud Environments

The Rafay Platform simplifies cloud infrastructure management by introducing workflow automation and orchestration between compute resources and AI workloads.

Enable Self-Service

Access

Deliver secure, compliant workspaces for AI/ML development with streamlined, self-service access, achieving 46x faster deployments on average.

Maintain Tooling

Compatibility

Integrate seamlessly with CI/CD pipelines, observability tools, networking frameworks, and security stacks, enabling a 10x increase in operational scalability.

Drive Higher GPU Utilization, Lower Costs

Automate provisioning and pool resources to maximize GPU usage and eliminate idle capacity, reducing operational overhead and cutting TCO by 30% on average.

Unlock the Power of Automated Infrastructure Scaling and Monitoring

Streamline your Kubernetes management with our cutting-edge software. Experience seamless operations and enhanced efficiency across all environments.

4x

faster cluster and add-on upgrades and patches *

Standardize and centralize Kubernetes management

Enable platform teams to standardize every aspect of cloud environment configuration, from cluster and environment configs, resource allocation, approved add-ons, access controls, and more.

100%

compliant clusters *

Operate an EKS-like service 
in your data center

The Rafay Platform provides turnkey management of Kubernetes resources hosted in private, remote, or edge environments (including bare metal, VMware vSphere, and local VMs). Teams can focus on higher-value work rather than the repetitive tasks of keeping Kubernetes operational.

30%

increase in productivity with 
Fleet-based automated workflows *

Put EKS/AKS/GKE lifecycle management on autopilot

Easily manage the lifecycle of all Kubernetes clusters and cloud resources across multiple business units and app teams, hosted in public clouds. This enables end-to-end automation, eliminating the need for specialized teams.

* Rafay Customer Average

Trusted by leading enterprises, neoclouds and service providers

Benefits

The Future of Cloud Management is Here

With the Rafay Platform, organizations accelerate time-to-market by moving from hardware to production in weeks instead of months. Platform engineering teams operate far more efficiently, often shrinking in size while supporting larger, more complex environments. Developers gain back 20–25% of time previously lost to infrastructure setup, fueling faster innovation. At the same time, enterprises cut cloud costs and drive higher GPU utilization, ensuring every investment delivers maximum value.

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

Mike Kail
CTO

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

“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

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)

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

Rakesh Singh
Senior Director, Cloud & DevOps

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

"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

"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

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

Kumud Kalia
CIO

"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

"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

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

Alec Rooney
CTO

Scale AI / ML Adoption

Delve into best practices for successfully leveraging Kubernetes and cloud operations to accelerate AI/ML projects.