Rafay and Monetize360 Bring Revenue Operations to GPU Clouds
Rafay and Monetize360 Bring Revenue Operations to GPU Clouds
June 4, 2026
Rafay gives neoclouds and sovereign AI clouds the orchestration layer that turns raw GPU capacity into governed, multi-tenant services, with self-service provisioning, tenant isolation, and granular usage and token metering through one control plane. Every GPU hour and token consumed gets tracked, attributed, and exposed through Rafay APIs, and many providers run their billing on that data.
But metered usage is not a bill. Providers also need a monetization and revenue operations layer that turns metered usage into customer-facing financial controls, invoices, and revenue workflows. Several neoclouds already run this on Monetize360, a quote-to-cash platform that acts as the financial control layer above infrastructure, built for usage, consumption, outcome, and token-based pricing. To close that gap, Rafay invested in building a direct integration with Monetize360.
What Each Platform Brings
Rafay provides the operational foundation for NeoClouds. Providers use the Rafay Platform to deliver governed, multi-tenant GPU clouds with self-service provisioning, lifecycle management, SKU definition, usage metering, token metering, and policy enforcement. Every GPU hour and every token consumed can be tracked, attributed, and exposed through APIs.
Monetize360 provides the monetization and revenue operations layer. It takes Rafay’s granular usage data and converts it into commercial workflows such as rate cards, contract terms, committed usage models, voucher programs, invoices, and integrations with accounting and ERP systems.
Used together, Rafay and Monetize360 help NeoClouds move beyond selling raw GPU capacity and start packaging AI infrastructure into flexible, governed, revenue-ready services.
Joint Offering Meets Neocloud and Enterprise Requirements
NeoCloud providers typically serve two very different customer segments: enterprise buyers and self-service users.
Enterprise customers usually arrive through a sales-led motion. They require contracts, procurement approvals, purchase orders, consolidated invoicing, account hierarchies, and finance-system integration.
Self-service users, including developers, researchers, startups, and small teams, expect fast onboarding, flexible usage, and real-time spend controls. Because their credit profile may not be known upfront, providers need automated guardrails, prepaid credits, usage limits, and access controls.
The Rafay and Monetize360 integration supports both motions. Rafay enforces provisioning, usage, and access policies, while Monetize360 manages the commercial rules, credit controls, billing logic, and revenue workflows behind them.
How NeoClouds Package and Sell GPU Infrastructure
Rafay and Monetize360 together support the full range of monetization models that both enterprise and retail customers expect.
Pre-paid and voucher-based billing is the right model for academic institutions, research organizations, and developer programs. A student or researcher receives a credit allocation upfront and draws it down as they use GPU resources. There is no invoicing, no collections cycle, and no credit risk. The spend is bounded by the voucher value.
On-demand and post-paid billing is the standard consumption model for individual developers and small teams. Customers spin up resources, use what they need, and receive an invoice at the end of the billing period based on actual usage.
Reserved and committed billing is how larger customers often prefer to engage. They commit to a baseline level of capacity, a specific GPU type, a specific quantity, over a defined term, in exchange for a discounted rate.
Token-based billing is the model that AI-native workloads increasingly demand. Rather than billing by the GPU hour, NeoClouds can expose inference and other AI services through APIs and charge based on token consumption.
Enterprise Monetization is the most complex model and the one that has historically been the hardest to deliver. Enterprise customers often have multiple teams or business units consuming GPU resources under a single commercial agreement.
Why This Matters for NeoCloud Providers
For NeoCloud providers, the strategic question is no longer whether they need flexible monetization. They do.
With Rafay and Monetize360, NeoClouds get a faster path from metered usage to monetized revenue. Rafay provides the governed AI infrastructure layer. Monetize360 turns that usage into contracts, pricing, invoices, controls, and revenue operations. The result is faster time to revenue, lower operational overhead, and the ability to serve multiple customer segments from developers using prepaid credits to enterprises requiring procurement-grade billing.
How to Get Started
The Rafay and Monetize360 integration is available now. NeoCloud providers already running on the Rafay Platform can connect Monetize360 directly through Rafay's APIs. For providers evaluating the joint solution, both teams are available to walk through the integration and the billing models it supports.
Learn more about the Rafay Platform for NeoClouds
Learn more about how Monetize360 helps AI infrastructure providers turn usage into revenue