Enterprises & GPU Clouds Trust Rafay

Rafay accelerates cloud-native and AI/ML initiatives, leading to faster business growth and happy developers

Accelerate Cloud-native Adoption Learn more

Accelerate AI/ML Adoption Learn more

Trusted by leading companies

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

“[Rafay] is a robust and secure option for large-scale management of Kubernetes clusters.”

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

more frequent deployments

76%

lower MTTR

Download the White Paper

Simplifying Amazon EKS Deployments & Operation

Learn how to accelerate Kubernetes & streamline Amazon EKS

"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

What GPU Metrics to Monitor and Why?

September 26, 2024 / by Mohan Atreya

With the increasing reliance on GPUs for compute-intensive tasks such as machine learning, deep learning, data processing, and rendering, both infrastructure administrators and users of GPUs (i.e. data scientists, ML engineers and GenAI app developers) require timely access and insights… Read More

PyTorch vs. TensorFlow: A Comprehensive Comparison

September 17, 2024 / by Mohan Atreya

When it comes to deep learning frameworks, PyTorch and TensorFlow are two of the most prominent tools in the field. Both have been widely adopted by researchers and developers alike, and while they share many similarities, they also have key… Read More

User Access Reports for Kubernetes

September 6, 2024 / by Mohan Atreya

Access reviews are required and mandated by regulations such as SOX, HIPAA, GLBA, PCI, NYDFS, and SOC-2. Access reviews are critical to help organizations maintain a strong risk management posture and uphold compliance. These reviews are typically conducted on a… Read More

Download the Inaugural Survey - The Pulse of Enterprise Platform Teams: Cloud, Kubernetes, and AI