Building AI Value within Borders
Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.
The Rafay Platform - FOR CLOUD SERVICE PROVIDERS
GPU PaaS™ for Service Providers
GPU infrastructure is a major investment and without the right orchestration and workflow automation in place, those resources remain underutilized or are delivered to the market at low price points. The sure-fire way to drive higher margins is to deliver self-service consumption experiences to developers, while enforcing enterprise-grade controls and strong multi-tenancy.
The Rafay Platform empowers neoclouds, Sovereign AI Clouds and cloud service providers (CSPs) to offer premium services that meet the highest enterprise expectations for governance and control, while delivering self-service consumption to their enterprise users. With Rafay, CSPs achieve higher revenues, higher margins, and higher infrastructure utilization.
common use cases
Launch Developer-Ready Environments and Experiences without Delays
With the Rafay Platform, neoclouds, Sovereign AI Clouds and CSPs can monetize infrastructure by delivering developer-ready experiences such as Generative A (GenAI) models, NVIDIA Blueprints, agentic apps (e.g. those powered by the Accenture AI Refinery offering), a variety of compute form factors (VMs, Kubernetes, Baremetal, SLURM), and a variety of 3rd party applications all as ready-to-use services through a composable marketplace.
With Rafay, customers get:
- Higher margins and higher utilization, with the ability to launch GPU Clouds and marketplaces across the globe within weeks
- A catalog of high-value compute and AI offerings that can readily compete with similar offerings from hyperscalers
- The ability to deliver secure, multi-tenant environments with built-in governance to demanding enterprise customers
- A fully airgapped deployment model that complies with sovereign requirements
- Full lifecycle management of Kubernetes, GPUs, and bare metal servers
Trusted by leading enterprises, neoclouds and service providers
Supporting Features
Purpose-Built Orchestration Capabilities for Cloud Providers Delivering AI Use Cases at Scale
The Rafay Platform offers a robust software stack that provides the following supportive features:
- Monetize instantly with built-in SKU management, billing automation, and token metering
- Differentiate your brand with white-labeled service portals tailored to your customers
- Win enterprise and government workloads with a secure, sovereign-ready architecture
- Accelerate adoption through turnkey integrations with Jupyter, Ray, Kubeflow, Slurm, and more
key benefits
Monetize AI Infrastructure Faster with Rafay
Monetize GPU Infrastructure in Days, Not Months
Launch revenue-ready AI/ML environments with built-in SKU management, billing, and consumption metering so every GPU hour turns into billable services faster.
Differentiate with Enterprise-Grade AI Services
Offer a fully integrated, white-labeled portfolio of AI/ML and GenAI tools (Jupyter, Ray, Kubeflow, Slurm) that attracts developers and retains enterprise customers.
Drive Adoption Across Enterprises and Governments
Deliver secure, sovereign-ready deployments that meet compliance requirements for regulated industries, expanding your addressable market.
Expand Revenue Streams Beyond Compute
Go beyond raw GPU access by monetizing models, datasets, and turnkey AI applications via marketplace integrations and upsell opportunities.
Boost Margins Through Automation
Reduce engineering overhead with multi-tenant automation and operational efficiency, freeing your teams to focus on growth while cutting costs.
Featured Resources
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Questions and answers about GPU PaaS™ for Enterprises
Find answers to common questions about our GPU Cloud Orchestration services below.
Is GPU virtualization supported?
Yes. The Rafay Platform supports three GPU sharing modes that operators can offer to tenants in self-service: full passthrough (one physical GPU per workload, optimal for large training runs), NVIDIA MIG (Multi-Instance GPU) partitioning (up to seven isolated MIG instances per A100 or H100, each with dedicated memory and compute), and time-slicing (multiple workloads sharing a GPU in time-multiplexed fashion, suited for lower-intensity inference or development workloads). Operators configure which sharing modes are available per SKU through PaaS Studio; tenants select the appropriate GPU size from the catalog without needing to understand the underlying partitioning mechanism. Security and compute isolation between MIG instances is enforced at the NVIDIA hardware level; chargeback data is collected per MIG instance or per time-slice allocation for granular cost attribution across tenants and business units.
Do you 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?
Rafay offers a comprehensive solution for chargebacks and billing. The platform collects granular chargeback information on resource usage, which can be easily exported to customers’ existing billing systems for further processing and distribution. Rafay allows for customizable chargeback group definitions to align with organizational structures or projects. Both group definition and data collection can be carried out programmatically, enabling efficient and accurate billing processes.
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.
Whitepaper
GPU cloud evaluation report
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.
