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Rafay Systems

Platform for managing Kubernetes and GPU infrastructure as self-service

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About Rafay Systems

Rafay offers a platform for operating Kubernetes clusters and GPU or AI infrastructure across clouds and data centers. It provides templates, governance, and chargeback so platform teams can offer self-service environments. Enterprises and cloud providers use it to run AI and application workloads.

Common use cases

  • Multi-cluster management
  • GPU cloud operations
  • Developer self-service
  • AI platform hosting

Products and services

Rafay Platform

Kubernetes and cloud infrastructure management with self-service.

GPU PaaS

Self-service access to GPU resources and AI workbenches.

Key features

  • Kubernetes lifecycle management
  • Self-service catalog
  • GitOps
  • Policy governance
  • GPU management
  • Cost chargeback

Integrations

  • Kubernetes
  • AWS
  • Azure
  • Google Cloud
  • NVIDIA
  • Terraform
  • GitHub

Rafay Systems alternatives

FAQs

What does it manage?

Kubernetes clusters, GPU resources, and related environments.

Where does it run?

Across public clouds, data centers, and edge sites.

How is it priced?

Subscription; pricing is by quote.

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