SERVICES YOU CAN LAUNCH WITH THE RAFAY PLATFORM

Rafay-Powered Inference as a Service (IaaS)

Rafay-powered Inference as a Service (IaaS) enables providers and enterprises to deploy, scale, and monetize GPU-powered inference endpoints optimized for large language models (LLMs) and generative AI applications.

Organizations can offer LLM-ready inference services powered by vLLM, complete with Hugging Face and OpenAI-compatible APIs, to serve production workloads securely and efficiently.

  • Instant Deployment: Launch vLLM-based inference services in seconds through a self-service interface.
  • GPU-Optimized Performance: Leverage memory-efficient GPU utilization with dynamic batching and offloading.
  • Elastic Scaling: Scale inference endpoints seamlessly across GPU clusters for consistent throughput.

Simplify Inference Management at Scale

Rafay enables organizations to manage AI inference workloads at scale while maintaining high performance, compliance, and cost efficiency

vLLM Runtime Integration

Use vLLM’s optimized runtime to serve large models with low latency and high throughput.

Distributed Inference Scaling

Scale workloads across GPUs and nodes with automatic balancing.

API Compatibility

Support Hugging Face and OpenAI-compatible endpoints for easy integration with existing AI ecosystems.

Governance and Policy Control

Enforce consistent performance and auditability through centralized management.

Deliver Production-Ready AI Inference with Governance and ROI

Expose inference endpoints as high-demand service SKUs to maximize GPU ROI.

Deliver self-service APIs with predictable latency, throughput, and elastic capacity.

Offer compliant, in-region inference services with full governance and auditability.

Automate endpoint creation, scaling, and policy enforcement to reduce operational overhead.

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

Joe Vaughan
Joe Vaughan
Chief Technology Officer
,
MoneyGram
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