Redefine Enterprise Infrastructure For AI + ML Deployments

GPU Platform-as-a-Service (PaaS) Reference Architecture Is Now Available In Partnership with NVIDIA.

Trusted by leading companies

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Cloud Automation for Platform Ops, Developers, Data Scientists

and everyone else that depends on rapid access to cloud infrastructure

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.

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Benefits Realized Across the Organization

Self-Service Cloud Automation

Automated self-service workflows give teams within organizations the autonomy to move at the speed of modern business. But modern clouds are more complicated, leading to bespoke solutions that waste time, cost, and resources, and introduce risk.

This is why platform teams at MoneyGram, Guardant Health, and Verizon use the Rafay Cloud Automation Platform to deliver Autonomy to cloud users (developers, data scientists, researchers, and more) while maintaining Control and Efficiency over cloud operations.

Rafay automates self-service cloud infrastructure in two key areas:

Rafay Environment Management

Automatically provision templated, fully featured, policy compliant environments, with just one click, for developers, data scientists, researchers, and more.

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Rafay Kubernetes Management

Streamline automation of self-service provisioning for Kubernetes infrastructure, while assuring consistent standardization and governance.

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