[rokobobo]

Out of curiosity, does anyone know of an actual company that's bought and uses one of these chips (say, the CS-1)? What's the use case?

They mention "low latency datacenter inference." Surely, the Facebooks and Amazons in the world could do better by using localized, smaller-scale machines for inference, since their use cases are distributed geographically. The one use case that I can think of, is high-frequency trading. But I can tell you that 20PB/s memory bandwidth is an overkill, and also, you're going to have a bad time trying to cool this thing down in a colocation center that doesn't belong to you.

[thomasjudge]

Under the "Industries" part of their webpage they have testimonials from GlaxoSmithKline, Lawrence Livermore National Lab, Argonne National Lab

[jamessb]

This slide (https://images.anandtech.com/doci/16626/Cerebras%20WSE2%20La...) lists announced Deployments at:

Argonne National Laboratory

Lawrence Livermore National Laboratory

Pittsburgh Supercomputer Center

Edinburgh Parallel Computing Centre

GlaxoSmthKline

"Other wins in heavy manufacturing, Pharma, Biotech, military and intelligence"

[wvaske]

There are AI models that are too big to effectively run on smaller hardware. The performance benefit of a monolithic system like this vs distributed GPU based systems can be orders of magnitude.

[throw737858]

There is something on YouTube. They are very profitable, machine learning, filtering and stuff. No trading.