# Rafay-Powered Model as a Service (MaaS)

Rafay-Powered **Model as a Service (MaaS)** enables organizations to deploy, scale, and manage **inference endpoints for large language models (LLMs)** and other AI workloads.

Traditional inference management is complex and resource-intensive. Static GPU allocation limits scalability, idle resources increase costs, and manual management slows response times.

Rafay addresses these challenges by offering **self-service APIs**, **elastic scaling**, and **integrated governance**, allowing operators to serve production-grade inference workloads with consistency and compliance.

Service providers, enterprises, and regional cloud operators can deliver **LLM-ready inference services** with full policy control, auditability, and optimized resource usage through Rafay’s managed platform.

- **Instant Deployment:** Launch inference services in seconds with vLLM-based runtime environments **.**
- **Elastic Scaling:** Scale model serving dynamically across clusters for predictable latency and throughput.
- **Integrated Governance:** Manage performance, policies, and compliance through centralized visibility.

## Simplify Model Deployment and Scaling

_Rafay streamlines how AI models are deployed and operated in production environments, reducing the burden of manual configuration and scaling._

### **vLLM Runtime Optimization**

Utilize vLLM’s memory-efficient architecture for low-latency, high-throughput inference.

### **Distributed Scaling**

Seamlessly expand inference workloads across GPUs and nodes with balanced utilization.

### **API Compatibility**

Support for Hugging Face and OpenAI-compatible APIs ensures ecosystem integration.

### **Policy-Based Management**

Centralized governance for consistent performance, access control, and auditability.

## Provide Elastic, Compliant Model Serving for Enterprise AI

### Expose model inference endpoints as managed, revenue-ready services

### Deliver low-latency, high-throughput inference with consistent runtime behavior

### Offer compliant, in-region model serving with auditable governance and policy controls

### Automate endpoint creation, scaling, and monitoring to reduce management overhead

## Featured Resources

[Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay](/content/white-papers/operationalizing-ai-fabrics-with-aviz-ones-nvidia-spectrum-x-rafay/index.html)

[The Definitive GPU PaaS Reference Architecture](/content/nvidia-reference-architecture/index.html)

[Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud](/content/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud/index.html)

[The CIO’s guide to scalable, compliant, and developer-ready AI deployment](/content/research/silicon-media-analyst-report/index.html)

[Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes](/content/resources/white-papers/rafay-named-outperformer-in-2025-gigaom-radar-report-for-managed-kubernetes/index.html)

[Building AI Value within Borders](/content/resources/accenture-whitepaper/index.html)

[GPU cloud evaluation report](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)

[How Enterprise Platform Teams Can Accelerate AI/ML Initiatives](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html)

## Quotes

“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”

**Joe Vaughan**  
Chief Technology Officer, MoneyGram

## Recent Blogs

[NVIDIA ❤️ Rafay Managed Kubernetes](/content/ai-and-cloud-native-blog/rafay-completes-nvidia-gpu-operator-partner-validation/index.html)

[Telco Cloud Services: How Communication Service Providers Can Monetize Cloud Infrastructure](/content/ai-and-cloud-native-blog/ai-and-cloud-native-blog-telco-cloud-services-explained/index.html)

[One-Click Digital Twins: Deploying the NVIDIA Omniverse DSX Blueprint using Rafay](/content/ai-and-cloud-native-blog/one-click-digital-twins-deploying-the-nvidia-omniverse-dsx-blueprint-using-rafay/index.html)

## Hybrid Cloud Meets Kubernetes

Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay [DOWNLOAD](/content/resources/white-papers/hybrid-cloud-meets-kubernetes-how-to-reduce-complexity-with-amazon-eks-eks-d-and-rafay-systems/index.html)

## Start a conversation with Rafay

Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in. [Start a Conversation](/content/start/index.html)