Skip to content
View original post on X: Rohan Paul
Published
30/100

Altman argues local AI inference wastes scarce DRAM versus datacenters

AISam Altman says it is terrible for the world's limited DRAM supply to sit in personal computers used about 5% of the time. Rohan Paul's post adds that per token, datacenters win easily, since local models at batch size 1 waste utilization.
Rohan PaulVerified on X
@rohanpaul_ai
View on X

Sam Altman on local inference.

"from a global allocation perspective, it's quite terrible to have everybody, a bunch of the world's limited supply of DRAM sitting in their own computer and being used 5% of the time"

per token, the datacenter wins easily. A local model at batch size 1 is wasteful by any utilization metric, and it’s also the only part of the stack nobody can deprecate on you. https://x.com/morqon/status/2115838856524120128/video/1

Source details

Rohan Paul · x.comPublished · added here

Original title: Sam Altman on local inference.