Why Rafay?

Transform CPU and GPU-based infrastructure
to a strategic asset

Rafay solves the pains brought by traditional infrastructure by empowering enterprises and service providers with a unified platform of GenAI services to orchestrate cloud-native and AI workloads across hybrid environments. With Rafay, organizations can confidently adopt GenAI initiatives, shifting focus from infrastructure management to innovation–accelerating time-to-market, reducing costs, and maximizing ROI.

For AI infrastructure management
For cloud-native infrastructure management

Rafay: Your Trusted Partner in Infrastructure Management and Orchestration

Rafay knows the challenges associated with infrastructure management and the variabilities that come from multi-cloud requirements.

 

Is it difficult to dynamically allocate GPUs for data scientists and enable expeditious AI application delivery?

Are there infrastructure constraints preventing a team's abilities to efficiently manage cluster lifecycles for EKS, AKS, or GKE?

Are teams buried in manual tasks and updates for managing the Kubernetes lifecycle in a private data center?

Is it difficult to centrally define and enforce consistent configs and workflows across your entire infrastructure?

Are developers spending too much time requesting and waiting for GPU access instead of innovating?

From access limitations, to security concerns, to high operational costs, and new tooling, it can place a lot of pressure on teams, departments, and organizations looking to get the most ROI out of their infrastructure while staying competitive and relevant in the market. That’s where Rafay comes in.

What to Expect when Working with Rafay

The flow chart diagram below is a typical journey Rafay supports for enterprises and cloud providers. First, customers standardize environments across all public and private clouds, centrally manage the lifecycle of all resources, and continuously optimize cloud costs. Next, customers enable the same for AI operations and provide self-service capabilities to developers and data scientists.

 

Key Differentiators

Rafay’s unified Platform-as-a-Service stack simplifies the complexities of managing cloud-native and AI infrastructure. The solution’s key differentiators improve governance, optimize costs, and accelerate application delivery for Rafay’s customers.

 

Build vs. Buy Advantage

Building a GPU PaaS stack internally demands significant investment in engineering, customization, integration, and long-term maintenance. Rafay eliminates that complexity with a ready-to-use, extensible platform—reducing time-to-market from months to weeks, and lowering total cost of ownership (TCO).

Unified Management Across Hybrid & Multi-Cloud

Unlike hyperscaler-native tools (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) that are cloud-specific, Rafay’s unified PaaS stack supports Kubernetes, CPU, and GPU infrastructure across on-prem, public clouds, and air-gapped environments—delivering true hybrid and multi-cloud flexibility.

Built-in Automation & Self-Service Capabilities for Kubernetes and AI/ML

DIY Kubernetes setups or general-purpose platforms like Rancher, OpenShift, or Kubeflow often require complex configuration and maintenance. Rafay offers policy-driven automation, self-service access, and integrated developer tooling—removing operational bottlenecks and accelerating AI/ML delivery.

Purpose-Built for GPU & AI Workloads

While traditional platforms were designed for generic workloads, Rafay is purpose-built for GPU orchestration, distributed training, and GenAI inferencing—providing intelligent scheduling, cost attribution, and multi-tenant controls not available out-of-the-box with open-source stacks.

Infrastructure ROI in Weeks, Not Months

With built-in cost optimization, metering, and resource right-sizing, Rafay enables enterprises and GPU cloud providers to monetize idle GPU infrastructure quickly—turning CapEx into revenue-generating services far faster than internal builds or hyperscaler-native deployments.

Market-Leading Support

When blogs and community resources aren’t enough, partner with Rafay’s deep bench of certified cloud automation experts to jump-start & customize your application modernization journey.

Learn more about Rafay’s Product suite

Accelerate Cloud-native Adoption

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

Learn More

Accelerate AI/ML Adoption

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

Learn More

Rafay Customers See and Feel the Benefits

Zero downtime

across mission critical workloads for oncology R&D and analytics

 

Saved over $1M

from being spent on excess cloud costs and operational inefficiency

 

Deployment rates up 4x

which empowers developers to iterate faster and accelerate their innovation

 

Frequently Asked Questions

Why is SaaS the right consumption model for Kubernetes operations?

With Rafay’s SaaS approach, enterprises can take advantage of all the benefits of a Kubernetes Operations Platform while also enjoying all the benefits of the cloud including ease of use, being up and running in minutes, no management of administrative clusters, and automatically scaling to handle hundreds of clusters.

 

Is the Rafay platform competitive with Amazon EKS?

No. Rafay provides a level of automation, security, viability and governance on top of EKS (and also for Azure AKS and GCP GKE). As a result, many Rafay customers use EKS and leverage Rafay to streamline EKS lifecycle management, along with application deployment and governance requirements for containerized apps running in EKS.

 

Does Rafay compete with Rancher?

Although Rancher delivers a number of Kubernetes cluster management capabilities, there are a number of reasons why enterprises are choosing Rafay over Rancher: Rancher is not delivered as a SaaS offering, which is the preferred consumption model for many enterprises; Rancher isn’t architected with zero-trust principles in mind; Rancher doesn’t support enterprise-level multi-tenancy; Rancher doesn’t support native capabilities for GitOps-based application deployment, cluster backup/restore, and more. Net-net Rancher is a great tool for basic cluster automation and visibility, while enterprises are looking for a Kubernetes Operations Platform that delivers automation, security, visibility and governance capability for both clusters and containerized applications.

 

We already have clusters up and running. Why do we need to partner with Rafay?

Provisioning clusters is the first step on a long journey towards Kubernetes operational excellence. Even if you prefer to keep leveraging your preferred methodology for cluster provisioning, you can easily import your clusters into the Rafay platform to implement application deployment automation, cluster and application governance, zero-trust control and access, and more.

 

We've already built a platform in-house. Can Rafay really benefit our business?

Yes! Rafay adds to any platform critical enterprise-grade capabilities such as cluster and application blueprints, drift detection, centralized RBAC and auditability of all actions, just to name a few, across both Kubernetes clusters and their applications. Adding Rafay is a simple exercise, and our solutions team will be more than happy to show you how to reduce the ongoing development and maintenance burden associated with building an in-house platform.

 

White Paper
Hybrid Cloud Meets Kubernetes

Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay

Download White Paper

"Easily operate and rapidly deploy applications anywhere across multi-cloud and edge environments."

Aamir Hussain

SVP Chief Product Officer, Verizon Business

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

Alec Rooney

CTO

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

Beth Cohen

Cloud Technology Strategist, Verizon Business