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.
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.
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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.
Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & 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.