Building AI Value within Borders
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.
Elevate Infrastructure to Become a Launchpad for Innovation
Turn complex compute environments into self-service consumption engines for enterprises, service providers, neoclouds and sovereign AI clouds. With Rafay’s orchestration and workflow automation, your accelerated hardware gets transformed into composable infrastructure—ready for critical AI and cloud-native (Kubernetes-based) workloads.
Trusted by leading enterprises, neoclouds and service providers
BENEFITS
Unlock Cloud Native and AI Workloads with the Rafay Platform
Rafay offers the first-of-its-kind infrastructure orchestration and workflow automation platform that abstracts complexity and enables optimal developer productivity. By providing self-service consumption of environments and experiences, teams can effectively accelerate AI and cloud-native use cases for full lifecycle management.
Designed to operate in hybrid/multi-cloud and data center environments, the Rafay Platform simplifies provisioning, scaling, and the management of infrastructure at enterprise scale.
GPU Cloud Providers
Monetize GPUs with GPU-as-a-service
Enable inference and AI tooling at scale
Launch branded clouds in sovereign or public environments
Enterprises Leveraging Private Clouds
Self-service access for secure AI/ML workloads
Kubernetes automation across cluster fleets in multiple clouds
Support for air-gapped and regulated deployments
Enterprises Operating in Public Clouds
Unify AI infrastructure management
Enable cost visibility and workload segmentation
Accelerate time to value for developers
ANALYST INSIGHTS
What leading analysts say about Rafay
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How Rafay Powers GPU Clouds
Evaluating how the Rafay Platform delivers a GPU Cloud for enterprises and service providers.
The AI Infrastructure Solutions Landscape, Q3 2025
Rafay featured in vendor focus for AI infrastructure extended use cases - enterprise applications.
Orchestrating the AI Future and How Rafay Powers Enterprise-Grade GPU Infrastructure
2025 - A CIO’s guide to scalable, compliant, and developer-ready AI deployment.
WHAT CUSTOMERS SAY ABOUT RAFaY - CASE STUDY
Guardant Health Chooses Rafay for Kubernetes Operations for Mission-Critical Analytics
Guardant Health is a leading precision oncology company dedicated to helping conquer cancer. The Rafay Platform's cloud-native management capabilities support on-prem and cloud deployments, enabling developers to quickly build, test and deploy applications faster.
Featured Resources
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Other
The Definitive GPU PaaS Reference Architecture
Understand what it takes to deliver the right GPU infrastructure to your business.
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