Building Token‑Metered AI Services on Telco AI Factories | NVIDIA Technical Blog

This post details the technical building blocks and architectural considerations for telcos to transition from GPU-per-hour infrastructure to token-metered AI services. It outlines the shift from Compute-as-a-Service (CaaS) to Token-as-a-Service (TaaS), emphasizing the role of AI developer studios and marketplaces in creating and consuming token-metered offerings. Key technical contributions include the definition of token-level metering and billing KPIs (token usage, performance, reliability, governance, economics) and the architectural components required to implement them, such as tracking tokens per tenant, model, endpoint, and correlating them with performance metrics like QPS, latency, and tokens per second. The post also highlights the economic shift towards selling AI output (tokens) rather than infrastructure time (GPU-hours) and the benefits of this model for telcos and enterprises.