What is Rafay used for?

Rafay is an orchestration platform that turns GPU and CPU infrastructure into governed, self-service Kubernetes and AI platforms. It is a good fit for offering GPU capacity as a self-service platform, standardizing clusters across business units and running AI workloads in private clouds.

How much does Rafay cost?

Rafay doesn't publish fixed prices; pricing is quoted on request.

Is Rafay open source?

No. Rafay is proprietary (closed-source) software. Open-source alternatives to Rafay include KubeVela, Rancher and Claudie.

What are some alternatives to Rafay?

Rafay competes with Spectro Cloud, Platform9 and Red Hat OpenShift. For open-source options, see Enlisted's ranked list of open-source Rafay alternatives.

Rafay: features, pricing and alternatives

About Rafay

Rafay is a commercial platform for Kubernetes operations that has expanded into AI infrastructure orchestration. It is aimed at enterprises, neoclouds and sovereign AI clouds that want to offer governed, self-service platforms on top of GPU and CPU resources.

The platform emphasizes multi-tenancy so several business units and developers can share the same infrastructure. Capabilities listed include standardizing add-ons, policies and cost controls across clusters, continuous cost analysis with automatic resource adjustment, and consuming EKS, AKS, GKE and OKE with enterprise controls. AI-focused offerings include an AI Factory for delivering applications and a Token Factory for token-metered model inference on shared GPUs.

Rafay supports private cloud and public cloud environments and publishes a GPU platform reference architecture created with NVIDIA. It is a proprietary product with a pricing page on its site.

Key features

Multi-tenant Kubernetes management
Policy and add-on standardization across clusters
Continuous cost analysis and adjustment
AI Factory self-service platform
Token Factory for metered model inference
Support for EKS, AKS, GKE and OKE

Good fit for

→Offering GPU capacity as a self-service platform
→Standardizing clusters across business units
→Running AI workloads in private clouds

Tags: kubernetes; ai-infrastructure; gpu; multi-tenancy; platform-engineering; cost-optimization; private-cloud

Rafay: questions and answers

What is Rafay used for?: Rafay is an orchestration platform that turns GPU and CPU infrastructure into governed, self-service Kubernetes and AI platforms. It is a good fit for offering GPU capacity as a self-service platform, standardizing clusters across business units and running AI workloads in private clouds.
How much does Rafay cost?: Rafay doesn't publish fixed prices; pricing is quoted on request.
Is Rafay open source?: No. Rafay is proprietary (closed-source) software. Open-source alternatives to Rafay include KubeVela, Rancher and Claudie.
What are some alternatives to Rafay?: Rafay competes with Spectro Cloud, Platform9 and Red Hat OpenShift. For open-source options, see Enlisted's ranked list of open-source Rafay alternatives.