Build, Operate and Monetize a Neocloud with Rafay

Neoclouds use the Rafay Platform to launch CSP-grade services without building from scratch. The Rafay Platform delivers everything required to operationalize and monetize GPU infrastructure: self-service consumption, multi-tenancy, SKU automation, billing APIs, and a white-labeled portal, to turn GPU investments into revenue-ready clouds in weeks.

What Is a Neocloud Provider?

A neocloud provider is a specialized cloud provider built primarily to deliver accelerated computing and AI services. Neoclouds typically offer GPU infrastructure, packaged compute environments, AI development platforms, and inference services optimized for training, fine-tuning, and production AI workloads.

AI Services You Can Launch with Rafay

GPU Infrastructure Services

Deliver bare metal and GPU capacity through governed, self-service workflows with automated provisioning, tenant isolation, inventory management, and usage tracking.

Packaged Compute Services

Offer virtual machines, Kubernetes, virtual clusters, SLURM, containers, and fractional GPU configurations as standardized, reusable SKUs.

AI Development Environments

Provide developers and data scientists with notebooks, workbenches, training environments, fine-tuning workflows, and curated AI tools.

Model and Token Services

Expose models through governed APIs with tenant controls, usage metering, rate limits, and token-based billing.

Core Capabilities for Neocloud Providers

Multi-Tenancy & Governance

Manage multiple organizations, teams, and users with fine-grained isolation and policy controls. Enforce quotas, role-based access, and security policies across every tenant while maintaining centralized visibility and governance.

Infrastructure and Workload Orchestration

Automate server provisioning, networking, storage integration, and lifecycle operations across bare metal, virtual machines, Kubernetes, SLURM, and AI workloads.

Self-Service Access

Empower developers and data scientists with on-demand environments, without IT bottlenecks. Accelerate onboarding and reduce manual provisioning by delivering approved services through APIs or branded self-service portals.

SKU Automation

Standardize small, medium, and large GPU/CPU packages for seamless consumption. Package infrastructure into reusable service offerings that simplify provisioning, improve consistency, and speed up service delivery.

Billing & CRM Integration

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Frequently Asked Questions About Neoclouds for AI Infrastructure

What counts as a node?

A node is a physical or virtual server/machine.

Do you have any volume discounts?

Yes! As the number of nodes increases the price per cluster or per node decreases.

What about short-lived or ephemeral clusters?

Our customers love to experiment, and we don’t ding them for it. We don’t charge for node count spikes, but look at the running average of nodes in use when calculating usage.

What if I use more nodes than I’ve licensed?

Rafay has a true-up forward policy, meaning that we don’t carry out chargebacks for scenarios where the consumption in a completed billing cycle exceeded the licensed count. If the new, steady-state number of nodes is expected to be higher, our customer success team will discuss the situation with you and take steps to adjust billing accordingly for the next billing cycle.

How quickly can a neocloud go from raw GPUs to billable services with Rafay?

A neocloud can typically reach its first billable AI services in approximately six to eight weeks using the Rafay Platform, compared to the many months a from-scratch platform build would require. Rafay provides the multi-tenant operating layer, self-service portal, SKU design tools, metering engine, and billing integration that neoclouds would otherwise need to build themselves.

How does Rafay support multi-tenant AI infrastructure?

We provide tenant isolation, role-based access controls, policy enforcement, and quota management that allow multiple teams, customers, or business units to securely share infrastructure while maintaining governance and operational consistency.

Can I white-label the Rafay customer portal under my own brand?

Yes. The Rafay platform supports full white-label customization, so GPU cloud providers and neoclouds can present the self-service portal entirely under their own brand.