
Accelerate Cloud-Native Infrastructure Management
Running AI/ML workloads on Kubernetes? Rafay's infrastructure orchestration and workflow automation platform simplifies the complexities of managing cloud-native environments.
The Rafay Platform’s multi-tenant foundation speeds up innovation through faster experimentation, faster shipment of new capabilities and features, reduction in infrastructure waste, increased utilization and the manifestation of better business outcomes.
With Rafay, platform engineering teams deliver self-service consumption to developers and data scientists, enforce governance and control across hybrid environments, and keep infrastructure costs low. Standardize landing zones, centralize Kubernetes environments, and more.
Take Control Over Kubernetes and Cloud Environments
The Rafay Platform simplifies cloud infrastructure management by introducing workflow automation and orchestration between compute resources and AI workloads.

Enable Self-Service
Access
Deliver secure, compliant workspaces for AI/ML development with streamlined, self-service access, achieving 46x faster deployments on average.

Maintain Tooling
Compatibility
Integrate seamlessly with CI/CD pipelines, observability tools, networking frameworks, and security stacks, enabling a 10x increase in operational scalability.

Drive Higher GPU Utilization, Lower Costs
Automate provisioning and pool resources to maximize GPU usage and eliminate idle capacity, reducing operational overhead and cutting TCO by 30% on average.
Unlock the Power of Automated Infrastructure Scaling and Monitoring
Streamline your Kubernetes management with our cutting-edge software. Experience seamless operations and enhanced efficiency across all environments.
4x
faster cluster and add-on upgrades and patches *
Standardize and centralize Kubernetes management
Enable platform teams to standardize every aspect of cloud environment configuration, from cluster and environment configs, resource allocation, approved add-ons, access controls, and more.
100%
compliant clusters *
Operate an EKS-like service in your data center
The Rafay Platform provides turnkey management of Kubernetes resources hosted in private, remote, or edge environments (including bare metal, VMware vSphere, and local VMs). Teams can focus on higher-value work rather than the repetitive tasks of keeping Kubernetes operational.
30%
increase in productivity with Fleet-based automated workflows *
Put EKS/AKS/GKE lifecycle management on autopilot
Easily manage the lifecycle of all Kubernetes clusters and cloud resources across multiple business units and app teams, hosted in public clouds. This enables end-to-end automation, eliminating the need for specialized teams.
* Rafay Customer Average
Trusted by leading enterprises, neoclouds and service providers












Benefits
The Future of Cloud Management is Here
With the Rafay Platform, organizations accelerate time-to-market by moving from hardware to production in weeks instead of months. Platform engineering teams operate far more efficiently, often shrinking in size while supporting larger, more complex environments. Developers gain back 20–25% of time previously lost to infrastructure setup, fueling faster innovation. At the same time, enterprises cut cloud costs and drive higher GPU utilization, ensuring every investment delivers maximum value.

Questions and answers about GPU PaaS™ for Enterprises
Streamline your Cloud-Native and AI infrastructure management with our cutting-edge software, the Rafay Platform. Experience seamless operations and enhanced efficiency across all environments.
Yes. GPU and Sovereign Cloud providers can choose to offer fractional GPUs to end users in a self-service fashion. The Rafay Platform will take care of security, compute isolation and chargeback data collection.
Yes. The Rafay Platform offers a variety of workbenches out of the box. These are based on Kubeflow and KubeRay, with end users consuming these platforms “as a service,” without needing to configure or operate any of these tools on their own. Further, the Rafay platform provides a low-code/no-code framework that empowers partners to bring new capabilities to market faster, e.g. verticalized agents, co-pilots, document translation services, and more.
Yes. The Rafay Platform has always supported CPU-based workloads and can easily deliver a PaaS experience that offers CPU+GPU instances to end users.
The Rafay Platform collects granular chargeback information that can easily be exported to the customer’s billing systems for downstream dissemination. Chargeback group definition and data collection can be carried out programmatically.
Yes. Rafay supports a number of IaC frameworks, enabling customers to programmatize every aspect of their cloud. The Platform supports Terraform, OpenTofu, GitOps pipelines, CLI and API workflows out of the box.
Still have questions?
We're here to help you with any inquiries.
.webp)
Scale AI / ML Adoption
Delve into best practices for successfully leveraging Kubernetes and cloud operations to accelerate AI/ML projects.

.webp)