Convert a Stack of GPUs into a
High-Performance GPU PaaS in Hours

Transform your existing GPU infrastructure into a fully operational GPU PaaS (Platform-as-a-Service) within hours. Empower your developers and data scientists to access, scale, and deploy GPUs with ease for AI, GenAI, and machine learning workloads.

Why do you need a GPU PaaS?

Self-Service 
GPU Access

Provide seamless, on-demand GPU consumption, allowing your teams to focus on innovation without the complexities of infrastructure management.

Ready-to-Use AI/GenAI Workbenches

Instantly deliver AI/GenAI tools and workbenches, ensuring your teams have everything they need out-of-the-box to accelerate their projects.

Enterprise-Grade Security and Controls

Enforce stringent security and compliance measures with Rafay’s industry-leading platform, ensuring complete governance over GPU usage while maintaining enterprise control.

Rapid Deployment

Convert GPU resources into a PaaS that can be accessed in hours, cutting down setup time and reducing overhead.

Scalability

Automatically scale GPU usage based on project needs, optimizing resource utilization.

Cost-Efficiency

Control GPU costs with automated management features that prevent resource wastage.

Is Rafay the Right Solution for
Your GPU Investment?

Maximize the ROI of your GPU investment by converting your DGX/HGX servers into a GPU PaaS that is dynamically partitioned, secure, and multi-tenant—ready for enterprise use in just days. With Rafay, enterprises unlock the fastest path to GPU monetization.

Rafay’s platform offers powerful capabilities that make it the optimal solution for delivering an enterprise-grade GPU PaaS:

GPU+CPU
PaaS

Create a seamless, storefront-like experience where developers and data scientists can easily consume compute resources. Empower your teams with self-service access to the compute power they need.

Low-Code Environment Management

Platform engineering teams can quickly define and manage the end-user experience with a low-code environment. This simplifies complex workflows and accelerates deployment times.

Enterprise-Grade Cluster Management

Manage thousands of GPU clusters with ease. Rafay's comprehensive management tools ensure scalability, security, and efficiency at an enterprise level.

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.

Want to Start Now?

See for yourself how Rafay delivers the automation developers and operations want with the right level of standardization, control and governance platform teams need!

Request a demo