In Episode 4 of AI Factory Insider, host Kaushik Shirhatti (VP, AI Factory, NVIDIA) is joined by Shruti Koparkar (Sr. Manager, Product Marketing, NVIDIA) and Tue Tran (GTM Strategic Ops, NVIDIA) to discuss what a token actually is, why not all tokens are equal, and how to tie AI factory investment to real business ROI. What we cover: 0:00 — Introduction 1:28 — Meet our guests: Shruti Koparkar & Tue Tran 2:42 — What is a token? 3:54 — What is "tokenomics," and why is it relevant now? 4:58 — Not all tokens are equal: intelligence, context, and speed 7:44 — Trading vs. research: matching tokens to the use case 9:20 — Retail video: one-token answers vs. batch captioning 10:40 — Sizing token demand: back-of-napkin math 12:10 — The multipliers: reasoning, agentic loops, and cache hit rate 13:54 — KV cache and prefix matching explained 16:34 — Supply: the AI factory as a car engine 17:29 — Dense models vs. mixture of experts 20:19 — Right model for the right task: a telco example 21:24 — Intelligent routing with NeMo Switchyard 22:10 — Where are your tokens going? Observability with NeMo Relay 22:38 — Matching infrastructure: NVL72, HGX, and RTX PRO Servers 23:31 — Dynamo and extreme co-design 24:25 — Monetization: four paths from tokens to ROI 27:54 — Just get started, and make it a team effort 29:18 — Guardrails for a token tsunami 31:32 — Wrap-up Resources: AI Tokenomics: A Framework for Deploying and Monetizing Inference at Scale 👉 https://nvda.ws/45WUA0e Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value 👉 https://nvda.ws/4gE3Hry NVIDIA AI Factory Validated Design Guide 👉 https://nvda.ws/4wGGHz0

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