Unpacking the deceptively simple science of tokenomics

feature By now you've probably heard AI datacenters called factories. It's an apt description: power goes in and tokens come out.

Admittedly it's an oversimplified description, but the economics of AI inference at scale are deceptively simple. The more tokens you can generate for a given amount of power, the better. Sell enough tokens to cover your infrastructure, power, facilities, and operations costs, and anything that's left over is profit.

"For the datacenters, inference tokens per watt translates directly to the revenues of the CSPs" (cloud service providers), Nvidia CEO Jensen Huang reiterated during the company's most recent earnings call.

Just like the assembly line revolutionized manufacturing in the 1900s, the same phenomenon is taking place in the datacenter. Any optimization that drives up the number of tokens per second, per dollar, per watt (TPS/$/W) is a competitive advantage. But this is where things ...