Most interesting aspect of wafer-scale manufacturing is yield. Even if we have 95% chip yield, as the chip size approaches the wafer-level dimensions, I don't know off top of my head what the math would be but it is going to plummet drastically. My guess is that they're handling this in the chip logic. Building resiliency by turning off cells in the wafer that didn't yield. That begs the question, how are they probin…
They probably aren't bothering to. The extreme economics for producing this type of chip are likely acceptable to the stakeholders. Also, there is no reason they cant have some redundancy throughout the design so you can fuse off bad parts. It all really depends on the nature of the anticipated vs actual defects, which is an extraordinarily deep rabbit hole to climb into.
Cerebras’ new monster AI chip adds 1.4T transistors
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Re: Cerebras’ new monster AI chip adds 1.4T transistors
#12Most interesting aspect of wafer-scale manufacturing is yield. Even if we have 95% chip yield, as the chip size approaches the wafer-level dimensions, I don't know off top of my head what the math would be but it is going to plummet drastically. My guess is that they're handling this in the chip logic. Building resiliency by turning off cells in the wafer that didn't yield. That begs the question, how are they probin…
Re: Cerebras’ new monster AI chip adds 1.4T transistors
#13Re: Cerebras’ new monster AI chip adds 1.4T transistors
#14Earlier quoted context omitted.
They probably aren't bothering to. The extreme economics for producing this type of chip are likely acceptable to the stakeholders. Also, there is no reason they cant have some redundancy throughout the design so you can fuse off bad parts. It all really depends on the nature of the anticipated vs actual defects, which is an extraordinarily deep rabbit hole to climb into.
I wonder how much this "chip" costs!
It's hard to estimate a per-unit cost. But suffice to say it would cost similar to other datacenter compute solutions on a performance/$ level.
Re: Cerebras’ new monster AI chip adds 1.4T transistors
#15Re: Cerebras’ new monster AI chip adds 1.4T transistors
#16Time for an AI winter I guess.
Re: Cerebras’ new monster AI chip adds 1.4T transistors
#17Time for an AI winter I guess.
Re: Cerebras’ new monster AI chip adds 1.4T transistors
#18Most interesting aspect of wafer-scale manufacturing is yield. Even if we have 95% chip yield, as the chip size approaches the wafer-level dimensions, I don't know off top of my head what the math would be but it is going to plummet drastically. My guess is that they're handling this in the chip logic. Building resiliency by turning off cells in the wafer that didn't yield. That begs the question, how are they probin…
They probably aren't bothering to. The extreme economics for producing this type of chip are likely acceptable to the stakeholders. Also, there is no reason they cant have some redundancy throughout the design so you can fuse off bad parts. It all really depends on the nature of the anticipated vs actual defects, which is an extraordinarily deep rabbit hole to climb into.
Re: Cerebras’ new monster AI chip adds 1.4T transistors
#19Under what circumstances does the chip need to access external memory?
What type of communication interfaces does this chip have?
Also, if the chip is the size of a wafer, is it appropriate to call it a Chip?
Re: Cerebras’ new monster AI chip adds 1.4T transistors
#20How do they do heat management and dissipation on such a big wafer? I can imagine some different parts heats up differently, putting a mechanical strain on wafer, and leading to cracks.