Monetize GPU Investments and Drive Higher Margins
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.
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.
- 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
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
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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Building AI Value within Borders
“Rafay’s central orchestration platform facilitates efficient, self-service infrastructure and AI application management” writes Accenture | NVIDIA in 2025 Building AI Value Within Borders paper.
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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
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Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
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Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
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The CIO’s guide to scalable, compliant, and developer-ready AI deployment
Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
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Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
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Questions and answers about GPU PaaS™ for Enterprises
Find answers to common questions about our GPU Cloud Orchestration services below.
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.
How Rafay Powers GPU Clouds
A well-managed GPU cloud removes barriers and constraints that prevent teams from delivering value.
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