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When we started Cerebras, we knew we would have to solve difficult problems in yield, power, and cooling. What became clear was that making wafer-scale work would require rethinking almost the entire system. Today, we answered questions from the community about those engineering decisions, how we run larger models,... show more

Sean Lie

15,863 subscribers

32,611 次观看 • 1 个月前 •via X (Twitter)

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12 条评论

Papa Johns 的头像

Papa Johns1 个月前

@cerebras @MilksandMatcha Thanks, Sean, for the insightful sharing. 👏

Abhishek Tiwari 的头像

Abhishek Tiwari1 个月前

@cerebras @MilksandMatcha I like how this is very accessible for non super technical folks.

Sean Lie 的头像

Sean Lie1 个月前

@cerebras @MilksandMatcha thank you

Sanjeev 的头像

Sanjeev1 个月前

@cerebras @MilksandMatcha Very informative!

Engin 的头像

Engin1 个月前

@cerebras @MilksandMatcha Because it is really cool!

Mustafa 的头像

Mustafa1 个月前

@cerebras @MilksandMatcha The telescope became powerful not merely because its glass improved, but because the entire observatory was designed around precision.

Zeek | Insights 📊 的头像

Zeek | Insights 📊1 个月前

@BitcoinPierre @cerebras @MilksandMatcha Let me dive in

Michael Farber 的头像

Michael Farber1 个月前

@cerebras @MilksandMatcha Super helpful.

Elias Mufarech 的头像

Elias Mufarech1 个月前

@cerebras @MilksandMatcha good example of how every company is now a media company... and how easy it is to do it!

am.will 的头像

am.will1 个月前

@cerebras @MilksandMatcha great video!

Priyank Mishra 的头像

Priyank Mishra1 个月前

@cerebras @MilksandMatcha the SRAM over HBM choice is the interesting one. if wafer-scale actually scales, some of the HBM demand story has a substitute nobody's pricing in. tiny share today, but it's a real one.

Anton Trunov 的头像

Anton Trunov1 个月前

@cerebras @MilksandMatcha Amazing overview! One of my friends got really excited when I joined Cerebras and has been nudging me since then to ask a cooling-related question: have you considered using 3M Novec or something better in the future?

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