# **The Operating Platform for the World’s Leading Neoclouds**

Rafay helps neoclouds, telcos, sovereign AI clouds, and enterprises turn infrastructure into self-service, governed services across [AI use cases](/content/platform/for-ai-infrastructure-management/index.html) and [cloud-native applications](/content/platform/for-cloud-native-infrastructure/index.html). The Rafay Platform orchestrates Kubernetes, VMs, SLURM, bare metal, GPUs, and AI services with the multi-tenancy, policy controls, usage visibility, and automation required to scale from infrastructure to consumption.

## Singular platform, multiple monetization options

The Rafay Platform unifies the operations and monetization of AI infrastructure into a singular control plane, empowering operators to run and make high margins off of their entire AI estate through a single pane of glass (and a single API framework) instead of a patchwork of point solutions.

## Use Cases of the Rafay Platform
### Transform Infrastructure into Revenue Engines

AI infrastructure and GPUs aren't an expense; they present an opportunity. The Rafay Platform empowers businesses to deliver CSP-grade use cases to users – from virtual machines to K8s clusters to ML workbenches to high-value, large-language models (LLMs), all delivered as a service – that drive high utilization and high margins.

### Supporting AI and Cloud-Native Workloads

#### Self-Service Compute Consumption
Deliver self-service experience across public clouds and data center environments. Developers get self-service access to compute and tooling needed to move fast and experiment, while platform teams maintain full control, governance, and cost-efficiency.

### Accelerated Computing and AI Infrastructure Management

With a vast library of Generative AI, compute consumption and infrastructure management built in, enterprises and service providers can deliver “as a Service” experiences at each layer of the stack without investing in massive teams and multiple quarters.

### GPU Cloud Orchestration
Cloud providers, neoclouds and Sovereign AI clouds who have partnered with Rafay are leading the charge to deliver CSP-grade use cases to their user communities. From agentic applications, ML workbenches, models as a service, to highly tuned virtual machines, K8s clusters and bare metal servers, Rafay is the partner of choice for the most innovative GPU providers in the world.

## Accelerate the development of cloud-native and AI applications without infrastructure limitations.

Learn why so many enterprises and service providers choose the Rafay Platform for their modern infrastructure needs. With the Rafay Platform, customers:

- **Improve productivity**– Developers cut deployment cycles from months to days – customers report up to 4x faster deployments **‍**
- **Move faster**– Rafay customers report launching self-service, multi-tenant GPU clouds in less than a quarter **‍**
- **Lower costs** – Built-in chargeback, governance, and cost-optimization controls maximize scarce resources and boost utilization **‍**
- **Drive peak efficiency**– With Rafay, just a few platform engineers can oversee the operations of thousands of clusters and pipelines

## The Definitive GPU PaaS Reference Architecture
Understand what it takes to deliver the right GPU infrastructure to your business.

[DOWNLOAD](https://product@rafay.co/nvidia-reference-architecture)