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.
Rafay enables organizations to manage AI inference workloads at scale while maintaining high performance, compliance, and cost efficiency
Use vLLM’s optimized runtime to serve large models with low latency and high throughput.
Scale workloads across GPUs and nodes with automatic balancing.
Support Hugging Face and OpenAI-compatible endpoints for easy integration with existing AI ecosystems.
Enforce consistent performance and auditability through centralized management.
.svg)
Aviz ONES, NVIDIA Spectrum-X Ethernet, and the Rafay Platform deliver a unified solution turning GPU fabrics into governed, cloud-native environments, instantly consumable.
Enterprises and Cloud Providers leverage the Rafay Platform to deliver self-service consumption of AI and cloud-native infrastructure to developers and data scientists.
Cisco provides AI-optimized infrastructure. The Rafay Platform makes it usable across teams, tenants, and use cases in days.
Learn how the Rafay Platform "allows CIOs to align their AI strategies with national regulatory frameworks while maintaining global scalability and agility" in this analyst report.
The latest Radar Report from GigaOm, the Rafay Platform's "Managed Kubernetes" capability is ranked as an “Outperformer."
CSPs can harness these strategic opportunities to capitalize on the AI-optimized IaaS market, projected at $80 billion in 2028.
.png)
“Rafay’s central orchestration platform facilitates efficient, self-service infrastructure and AI application management” writes Accenture | NVIDIA in 2025 Building AI Value Within Borders paper.
Learn how to accelerate the ROI of your GPU infrastructure by quickly delivering a fully functional GPU Cloud with the self-service workflows and infrastructure orchestration of the Rafay Platform.
.png)
This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
"We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay"
.png)
As a sponsor of Gartner IOCS 2025, Rafay highlights why modern I&O needs a platform operating model to keep pace with cloud-native and AI workloads.
Read Now
The Rafay Partner Elevate Program is designed to empower our global ecosystem of partners from resellers and system integrators to managed service providers, to deliver cutting-edge AI, cloud, and Kubernetes outcomes faster and more profitably.
Read Now
.png)
This blog details the specific features of the Rafay Platform Version 4.0 Which Further Simplifies Kubernetes Management and Accelerates Cloud-Native Operations for Enterprises and Cloud Providers
Read Now
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!
