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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 laten
by rokobobo 5y ago
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.
- deleted 5y ago[deleted]
- thomasjudge 5y agoUnder the "Industries" part of their webpage they have testimonials from GlaxoSmithKline, Lawrence Livermore National Lab, Argonne National Lab
- jamessb 5y agoThis slide (https://images.anandtech.com/doci/16626/Cerebras%20WSE2%20Launch%20Embargoed%20until%204%2020%2021%5B2%5D%5B2%5D%5B3%5D%5B3%5D%5B4%5D%5B1%5D-page-006.jpg 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"
- throw737858 5y agoThere is something on YouTube. They are very profitable, machine learning, filtering and stuff. No trading.
- wvaske 5y agoThere 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.