Launch a Self-Service
GPU Cloud 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 Choose a GPU Cloud?

Deliver AI/GenAI Experiences

Easily provide AI and GenAI solutions to your enterprise customers with a robust GPU Cloud infrastructure designed for performance, scalability, and security.

Maximize Your GPU Investment

Leverage GPU virtualization and cluster multi-tenancy to optimize resource utilization, ensuring you get the most out of your existing hardware. Enable self-service workflows to give teams the flexibility they need without overburdening operations.

Automate Platform Engineering

Streamline your platform engineering functions with Rafay’s automation tools, allowing you to accomplish more with small, efficient operations teams. Simplify complex tasks and scale your infrastructure with ease.

Is Rafay the Right Solution for
Your GPU Investment?

Maximize your GPU Cloud investment with Rafay. Whether you’re building a GPU Cloud or a Sovereign Cloud, Rafay helps you transition from a stack of hardware to a dynamically partitioned, secure, multi-tenant platform in just days. Rafay offers the fastest path to monetization, allowing you to unlock the full potential of your GPU infrastructure.

Key Rafay Platform Capabilities for
Delivering a GPU Cloud or Sovereign Cloud

GPU+CPU
PaaS

Create a storefront-like experience that enables developers and data scientists to easily access and consume compute resources on-demand, fostering innovation and speeding up workflows.

Low-Code Environment Management

Simplify platform operations with a low-code solution that allows platform engineering teams to define and manage the end-user experience effortlessly, reducing complexity and boosting productivity.

Enterprise-Grade Cluster Management

Manage thousands of clusters efficiently with Rafay’s comprehensive, enterprise-grade cluster management capabilities, ensuring scalability, security, and reliability.

Why Choose Rafay for GPU Cloud?

Rafay provides the tools and features necessary to transform your GPU infrastructure into a powerful, monetizable GPU Cloud. Whether you’re targeting AI, machine learning, or data science workloads, Rafay’s platform enables you to scale efficiently while maintaining enterprise-level controls and security.

One Platform – Multiple Deployment Options

The Rafay Platform is designed to address the most complex requirements from the most demanding Cloud customers. 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 to immediately deliver value to customers with a SOC-2 compliant platform that addresses all requirements put forward by your security team.

Consume the Rafay Platform

in an air-gapped model

Sovereign AI Clouds and 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 many small GPU Cloud footprints across a large region or mix your GPU Cloud environments with capacity from an in-region CSP, Rafay can help. All of 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!

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