By keeping computation and memory on a single wafer-scale processor, we eliminate the data-movement penalties that dominate GPU systems. The result is up to 15× faster inference, without sacrificing model size or accuracy.
I hope all AI will reach 300ms response times, including 200 line diffs. Querying a million rows or informing user that a codebase is wrong used to take minutes but now happen instantly.
Comments
If you are a founder, don't ever use Cerebras https://news.ycombinator.com/item?id=46707904
https://xcancel.com/andrewdfeldman/status/201154226777402186...
If they actually put GPT5.2 into Cerebras I'm switching to OpenAI subscription instantly
Source for the 10B amount: https://www.cnbc.com/2026/01/14/cerebras-scores-openai-deal-...
Will be interesting to see how it is integrated. I assume it will be only a small fraction of openai's total inference.
Guessing the plan might be for voice AI. That stuff needs to be real snappy.
I hope all AI will reach 300ms response times, including 200 line diffs. Querying a million rows or informing user that a codebase is wrong used to take minutes but now happen instantly.
And the data centers created from this initiative will be net positive for the environment and communities, right? Right?
yes, because climate change simulations will become cheaper.