The Rafay Platform

Enterprise PaaS for Modern Infrastructure and Accelerated Computing

Platform teams at many of the largest enterprises in the world use Rafay’s platform to deliver AS-A-SERVICE consumption of compute to their internal customers. Whether developers and data scientists need to deploy CPU-based and GPU-based workloads in data centers, public clouds, or at the edge, Rafay makes it easy.

"The big draw was that you could centralize the lifecycle management & operations."

Beth Cohen

Cloud Technology Strategist, Verizon Business

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

Kumud Kalia

CIO

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

Alec Rooney

CTO

"Rafay stood out from the crowd with their deep integration with Amazon EKS."

Jayant Thakre

VP Products

"Rafay's team of Kubernetes experts is always available for guidance on the best approaches for our AWS cloud transformation."

Sharmila Ramar

Global Head of Cloud , Devops & Data Management

The Rafay PaaS: Defined

It all starts with architecture.

Every enterprise architecture team sets out to build an enterprise-wide marketplace of compute, which addresses the needs of each of their internal customer groups, along with the governance expectations and controls they must adhere to when consuming compute resources in public clouds, data centers, and elsewhere.

Our customers leverage the Rafay platform to manage the consumption of compute for any user, any infrastructure, at any scale, with governance over it all.

Identity-aware EXPERIENCE VENDING for developers, data scientists and operations engineers to spin up or update compute environments as needed.

Organization-aware GOVERNANCE & CONTROLS ENFORCEMENT for platform engineering and architecture teams to set up the necessary tenancy scaffolding, policy and configuration inheritance models, etc., to ensure that each team and each user gets exactly the experience that they should.

One Unified PaaS for Modern Infrastructure and Accelerated Computing

Rafay makes CPU-based and GPU-based compute resources instantly consumable by developers and data scientists,
enabling customers to empower every developer and data scientist to accelerate the speed of innovation

Designed for Your Biggest Enterprise Cloud Challenges

AI Suite

Operate AI and Gen AI workflows in public, private or sovereign
clouds.



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Standardization Suite

Centrally enforce addons, policies and cost controls across all clusters and landing zones.



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Public Cloud Suite

Consume EKS, AKS, GKE, OKE, and more with enterprise-grade
controls.



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Private Cloud Suite

Leverage the easiest-to-use K8s distro, with lifecycle management for data centers and the edge.



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How Enterprise Architecture & Platform Teams Build Enterprise-Wide Compute Consumption Strategies With Rafay

Organize internal compute consumers into classes

Some internal users want a partial GPU, a namespace with a code deployment pipeline and a preconfigured ingress, while some want an entire Kubernetes cluster with 128 GPUs and never want to be bothered again. Easily define all user experiences and deliver them to the right users based on their identity

Deliver self-service experiences with complete control

Control is only a problem if it gets in the way of developers doing amazing things. Apply all enterprise controls across all environments without affecting the end-user experience

Transparently set and apply governance and access policies across all clouds and data centers

Every environment should have a “golden image” concept that you define and maintain. And you should be able to update or extend the golden image as needed

Let developers run free while keeping costs in check

Centrally monitor consumption efficiency and resize containerized workloads on demand without the developers ever having to worry about it

Deliver support for new public clouds overnight

Don’t keep your internal customers waiting. If they need to adopt a new major public cloud or an artisanal GPU Cloud, quickly enable them with the same controls you defined for clouds you’re already leveraging

I can see clearly now…

With compute spread across so many environments across so many teams, you truly need a unified visibility model and a single source of truth for configuration. Anything short of that leads to shadow cloud computing

Flexible Deployment Options to Suit Your IT Strategy

Rafay Hosted

Let Rafay manage operations with 99.99% SLA while you manage your cloud. This is our most popular deployment option.

Self-Hosted

Host the Rafay solution yourself and self-manage the platform and cloud resources. This option is also used in air-gapped environments.

Fully Managed

Let Rafay manage your entire cloud operations & clusters with our expert cloud automation team.

Download the Datasheet
Rafay Enterprise PaaS

Cloud and accelerated computing as a service, with guardrails included.