Convert a stack of GPUs into a GPU PaaS in hours

Deliver AI/GenAI workbenches and tooling out of the box and self-service GPU consumption to developers & data scientists while enforcing enterprise-grade controls with Rafay’s industry-leading Platform.

 

 

Immediately monetize your
GPU investment with Rafay

GPU+CPU PaaS that delivers a storefront experience for developers and data scientists to consume compute

Low-code environment management and end-user experience definition by platform engineering teams

Enterprise-grade cluster management that enables management of thousands of clusters

One Platform – Multiple Deployment Options

The Rafay Platform is designed to address the most complex requirements from the most demanding enterprises. Rafay’s customers have multiple deployment options available to them:

Consume the Rafay

Platform as SaaS

A majority of Rafay customers consume Rafay in a SaaS form factor. Why? Because the SaaS model lets them start immediately with the Rafay Platform and deliver value to their customers. The Rafay platform is SOC-2 Type compliant, and will address all requirements put forward by your security team.

Consume the Rafay Platform

in an air-gapped model

Customers in highly regulated industries prefer Rafay’s air-gapped controller model. Team Rafay is ready to help you deploy the Rafay Platform in your data center or in your private/public cloud environment. You get exactly the same experience and all the same features available to our SaaS customers.

Consume the Rafay Platform

across data center and CSP
environments

Whether you plan to deploy GPUs in multiple colos, or lease GPUs in a CSP environment, or both, Rafay can help. With Rafay, all your compute across all private and CSP environments can be managed as a single pool of GPUs and CPUs, reducing operational overhead and enabling cloud-bursting use cases.

GPU PaaS FAQs

Is GPU Virtualization supported?

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.

Do you also provide AI/ML workbenches and other tooling?

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.

Does your platform also support CPU consumption?

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.

How does Rafay solve for chargeback and billing?

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.

Does Rafay support “infrastructure as code” (IaC) principles?

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.