, Cerebras CEO Andrew Feldman had no illusions that Frontier is a more powerful machine for a wider span of applications.
"Our cores are smaller. Our cores are optimized for AI. Our cores don't have 64-bit double precision. But at AI, they're unparalleled. And 13 and a half million of them is really, really hard. And to get them to behave like a single machine on a single problem, and to be able to get access to them via a few lines on a scientific notebook, like a Jupyter Notebook, is unheard of," he said.This is a claim apparently backed up by the DOE's Argonne National Laboratory.
"Linear scaling is amongst the most sought-after characteristics of a big cluster, and Cerebras Andromeda's delivered 15.87x throughput across 16 CS-2 systems, compared to a single CS-2, and a reduction in training time to match. Andromeda sets a new bar for AI accelerator performance," he said. "I think they were under a fair bit of political pressure. That makes Nvidia look bad. And big companies don't like to be made to look bad," he added.