Rafay-Powered Model as a Service | Rafay Platform

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.

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

Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.

Learn More](https://pr@rafay.co/white-papers/operationalizing-ai-fabrics-with-aviz-ones-nvidia-spectrum-x-rafay)



The Definitive GPU PaaS Reference Architecture

Understand what it takes to deliver the right GPU infrastructure to your business.

Learn More](https://pr@rafay.co/nvidia-reference-architecture)



Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud

Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

Learn More](https://pr@rafay.co/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud)



Building AI Value within Borders

Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.

Learn More](/content/resources/accenture-whitepaper/index.html)

“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

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