Rafay systems were selected by Sharon AI to support its AI Factory environments and provide a centralized orchestration and operations layer across its AI Factory environments.

AI infrastructure is only valuable when it can be consumed, governed, and monetized. Rafay is the platform behind AI factories. We help enterprises, neoclouds, sovereign AI providers, telecommunications companies, and service providers transform GPU infrastructure into production-ready AI platforms. The Rafay Platform provides the operational layer between AI infrastructure and AI services, enabling organizations to deliver self-service GPU infrastructure, Kubernetes, virtual machines, bare metal, SLURM, AI workbenches, and token-metered AI services through a unified platform. With built-in automation, multi-tenancy, governance, lifecycle management, observability, and policy-driven operations, Rafay helps customers accelerate deployment, increase GPU utilization, simplify operations, and shorten the path from infrastructure investment to business value. Whether building an enterprise AI factory, launching a GPU cloud, delivering sovereign AI infrastructure, or offering AI services through APIs, organizations rely on Rafay to operate and scale AI infrastructure with confidence. Our customers use Rafay to: Build production-ready AI factories in weeks instead of months Deliver self-service GPU infrastructure and AI platforms Operate secure multi-tenant environments with centralized governance Increase infrastructure utilization through automation and policy controls Monetize AI infrastructure with token-metered AI services and Model-as-a-Service offerings Deploy consistently across cloud, data center, edge, sovereign, and air-gapped environments Rafay helps organizations operate, govern, and monetize AI infrastructure.