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.
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.
Traditional inference environments often face challenges—static GPU allocation wastes capacity, idle costs accumulate, and manual management limits scalability. Rafay removes these constraints by enabling self-service inference APIs, elastic scaling, and built-in governance for predictable performance and sovereignty.
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.
.svg)
Offer compliant, in-region inference services with full governance and auditability.
Automate endpoint creation, scaling, and policy enforcement to reduce operational overhead.
Featured Resources
.png)
“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”
.png)
.png)
White paper
Hybrid Cloud Meets Kubernetes
Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay
Try the Rafay Platform for Free
See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!
.webp)