For Service Providers

Monetize GPU Investments and Increase Margins

It’s no secret that GPU infrastructure is expensive and underutilized without the right orchestration layer. Developers need frictionless access. Providers need multi-tenancy, billing, and AI service layers to monetize. Rafay’s Platform-as-a-Service layer helps monetize GPU investments and accelerate application delivery.

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Common Use Cases

Give Developers and Data Scientists the Access They Need to Innovate Faster

  • GPU / Bare Metal / VM / K8s orchestration
  • Serverless and dedicated inferencing
  • Model catalog and fine-tuning workflows
  • Partner-ready portals and 3rd-party marketplace
Supporting Features

Purpose-Built Orchestration Capabilities for Cloud Providers Delivering AI/ML at Scale

  • Built-in SKU management, billing, and token metering
  • White-labeled MSP experience portals
  • Secure, sovereign-ready deployment architecture
  • GPU / Bare Metal / VM / K8s orchestration

Key Benefits GPU & Sovereign Cloud Providers Can Expect with the Rafay Platform

Instantly monetize

Instantly monetize your GPU investments (time to market)

Create a competitive edge

Create a competitive edge through managed AI and GenAI tools

Drive adoption

Drive adoption by offering AI/ML and GenAI services

Make additional revenues

Make additional revenues through marketplace integrations and applications

Improve margins

Improve margins through streamlined operations and reduced R&D costs

Download the White Paper
Scale AI/ML Adoption

Delve into best practices for successfully leveraging Kubernetes and cloud operations to accelerate AI/ML projects.

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Most Recent Blogs

Image for Powering GPU Cloud Billing: Rafay + Monetize360 Integration

Powering GPU Cloud Billing: Rafay + Monetize360 Integration
June 16, 2025 / by Mohan Atreya

In the fast-evolving world of GPU cloud services and AI infrastructure, accurate, flexible, and real-time billing is no longer optional — it’s mission critical. That’s why Rafay has partnered with Monetize360 to deliver an end-to-end pricing, billing, and revenue management… Read More

Image for Choosing the Right Fractional GPU Strategy for Cloud Providers

Choosing the Right Fractional GPU Strategy for Cloud Providers
July 14, 2025 / by Mohan Atreya

As demand for GPU-accelerated workloads soars across industries, cloud providers are under increasing pressure to offer flexible, cost-efficient, and isolated access to GPUs. While full GPU allocation remains the norm, it often leads to resource waste—especially for lightweight or intermittent… Read More

Image for Demystifying Fractional GPUs in Kubernetes: MIG, Time Slicing, and Custom Schedulers

Demystifying Fractional GPUs in Kubernetes: MIG, Time Slicing, and Custom Schedulers
July 11, 2025 / by Mohan Atreya

As GPU acceleration becomes central to modern AI/ML workloads, Kubernetes has emerged as the orchestration platform of choice. However, allocating full GPUs for many real-world workloads is an overkill resulting in under utilization and soaring costs. Enter the need for fractional… Read More

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