Gautam Chintapenta

From CDN to TDN: Why AI Inference Needs Its Own Delivery Network

AI inference is following the same path content delivery did decades ago. As token demand grows, providers need a distributed delivery model built for real-time model responses, GPU capacity, latency, policy, and metering. Token Delivery Networks bring inference closer to users and turn distributed compute into a programmable AI service.

What Is a Token Delivery Network? The Next Operating Model for AI Inference

A Token Delivery Network is a distributed inference network that brings AI model endpoints closer to users, applications, and agents. Learn how the model works and where the Rafay Platform operates it.

Rafay and NVIDIA DSX OS: Turning Open-Source Components into a Consumable AI Cloud

AI factory operators have solved the GPU capacity question. The harder one is turning that capacity into production AI services. Rafay integrates NVIDIA DSX OS to ship it as a consumable AI cloud.

How Rafay Turns NeoClouds and Telco AI Clouds into Token-Metered Revenue Engines

Learn how telcos and NeoClouds can turn sovereign AI infrastructure into token-metered services with Rafay, enabling inference APIs, billing, governance, and monetization.

The Telco AI Imperative: From Connectivity to Sovereign AI Infrastructure

The AI buildout demands exactly what telcos already have, now is the moment to make that infrastructure count.

Token Factory Is Now Generally Available: How AI Factory Operators Can Monetize Token-Based AI Services

Rafay Token Factory enables AI factory operators to monetize GPU infrastructure with token-based AI APIs, metering, and self-service consumption at scale.

Unlock the Next Step: From Cisco AI PODs to Self-service GPU Clouds with Rafay