400B parameters would need 18 chips. Then you need a bit more ram for other stuff
400B parameters would need 18 chips. Then you need a bit more ram for other stuff
CSE systems also come with off-chip memory, comparable to a GPU's memory, but usually in the TB range.
Of course they're using the on-chip SRAM, why wouldn't they?
This is a press release from Cerebras about a Cerebras chip, ... of course they are using a Cerebras chip!
Is that not obvious?
https://www.cerebras.ai/blog/cerebras-cs-3-vs-nvidia-b200-20...
https://www.cerebras.ai/blog/announcing-the-cerebras-archite...
It is useless for inference, but it is great for training. It used to be more prominent on their website, but it is harder to find references to it now that they are mimicking Groq’s business model.
Here [1] they imply they can reach 1.2Tbps (allegedly, I know), and that's the previous generation ...
1: https://f.hubspotusercontent30.net/hubfs/8968533/Virtual%20B...
Edit: yeah, double checked their site and everything. Dang, their IO is indeed "slow". They claim 1 microsecond latencies, but still, an H100 can move much more data than that.