Datasheets

Learn more about the Rafay Platform with educational content and product information

AI Token Factory

AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption.

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Data Sheet: Architecting the Right Foundation for AI with Rafay and Weka

Together, WEKA and Rafay provide the foundation for modern AI clouds, combining power-optimized storage with CSP-grade orchestration to help AI cloud providers, GPUaaS platforms, sovereign AI initiatives, and enterprises turn complex infrastructure into a self-service, multi-tenant AI platform.

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GitOps Service Brief

Adopting GitOps as an operational model taking DevOps best practices used for application development such as version control, collaboration and compliance has become increasingly crucial to meet the demands of today's infrastructure. Rafay ’s GitOps Service enables continuous delivery through automated deployment, monitoring, and management of continuous deployment pipelines.

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Cost Management Service Brief

With Rafay’s Cost Management Service, Operations and FinOps teams have a centralized place to monitor Kubernetes consumption and costs in cloud and on-premises environments, enabling them to implement flexible chargeback and showback policies enterprise-wide. Read this data sheet to learn how Rafay’s Cost Management Service helps in: Centralized Cluster Cost Management : More effectively operationalize and allocate Kubernetes cloud costs across teams in shared cluster and multi-tenant scenarios.

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Network Policy Manager Service Brief

Network security configuration can be error-prone, time-consuming, and add operational overhead to manage and enforce multiple clusters. In addition, without the necessary security policy and enforcement, Kubernetes infrastructure network traffic is open to lateral movement, including ingress/egress and pod connectivity.

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Rafay Enterprise PaaS Datasheet

Platform teams are designing modern cloud infrastructure for developers, data scientists, engineers, researchers, and other users, who depend on it to run CPU- and GPU-based workloads. With Rafay, they can manage the consumption of landing zones, environments, and Kubernetes resources for any user, in any infrastructure, at any scale, with governance over it all.

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