Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299

As AI factories scale and token costs become a defining competitive variable, the way businesses measure infrastructure ROI needs to change. In this episode, Shruti Koparkar from NVIDIA's Accelerated Computing team breaks down tokenomics—the four-pillar framework of token utility, supply, demand, and monetization—and reveals why NVIDIA Blackwell's architecture delivers 50x more tokens per watt than NVIDIA Hopper, translating to a 35x reduction in token cost.

🔬Topics covered:

The four pillars of tokenomics: utility, supply, demand, and monetization

Why cost per token beats FLOPS per dollar as an infrastructure metric

NVIDIA Blackwell vs. Hopper: 50x more tokens per watt, 35x lower token cost

How extreme co-design turns spec-sheet numbers into real-world output

Jevons paradox: why lower token cost always drives more GPU demand, not less

The four business models for turning tokens into revenue

Chapters:

00:00 – Introduction and the four pillars of tokenomics

02:09 – Token value: intelligence, interactivity, and use case mapping

06:32 – Estimating token demand: users, reasoning, and agentic multipliers

10:00 – Token supply and why cost per token is the right infrastructure metric

13:12 – NVIDIA Blackwell vs. Hopper: 50x more tokens, 35x lower cost

14:52 – Extreme co-design for lowest token cost and the NVIDIA Vera Rubin platform

21:10 – How software multiplies hardware performance (8x gains in six months)

23:56 – Token monetization: pricing and business models

26:52 – Jevons paradox and the future of GPU demand