Rafay Systems Scales AI Ecosystem Amid Shift to Token-Based Monetization
The market for AI infrastructure is pivoting from simple GPU rentals toward full-stack, token-metered services. To capture this transition, Sunnyvale-based Rafay Systems has expanded its Elevate ecosystem, formalizing strategic partnerships with industry giants to help operators transform raw compute clusters into governed, revenue-ready AI platforms.
As enterprises and neocloud providers seek to move beyond hardware provisioning, Rafay is positioning its orchestration platform as the essential middleware for AI lifecycle management. The company’s recent expansion centers on enabling multi-tenant, policy-governed environments that support token-metered pricing—a model designed to improve margins by shifting focus from training to high-value inference workloads.
Strategic integration efforts highlight this push toward operational efficiency. Rafay has achieved NVIDIA AI Cloud-Ready validation, allowing operators to deploy NVIDIA NIM microservices alongside enterprise-grade controls. Further broadening its reach, the company joined the Cisco Solutions Plus program, enabling direct procurement of its orchestration software alongside Cisco AI networking and compute hardware. Similar collaborations with Dell Technologies and Unisys now provide customers with pre-integrated paths to manage AI workloads across private, public, and hybrid environments. According to Rupen Shah, vice president of partners at Rafay, the goal is to provide the operating layer that makes GPU clusters both consumable and profitable for end users.
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