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NVIDIA Next Gen-GPU Hopper could be offered in chiplet design
Next years Nvidia Ampere GPUs have not yet even been announced and now the supposedly next-generation chip generation Hopper info already spreads on the web, Hopper could be based on a multi-die design, you know chiplets.
Hopper (Grace Hopper) is the name of yet another mathematician being applied to architecture. She has been involved in groundbreaking projects, such as the Mark I super-computer (at the time) at Harvard University, and revolutionized computer science with the first high-level programming language COBOL. Now her name is supposed to adorn Nvidia's next-generation GPU: The Hopper architecture is to follow Ampere (presumably RTX 3000) and be manufactured in chiplet (MCM) design.
MCM design scale less for GPUs, think a little about SLI for example and the problems that come with it. However, it also offers significant advantages in production. The larger a chip is, the higher the risk of production error that can render the chip completely unusable (yields). MCM can create far larger packages than the limitations of one chip alone, so they are very scalable. It might be a trend for graphics chips. However, these are for the time being unconfirmed rumors, all of them.
Photo NVIDIA: 36-chip MCM prototype
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Because AMD is the one that popularized chiplets in complex processors. So to me, it makes sense how they'd take the same approach to their GPUs too.
Well, I think that it has to do with an answer to a different question in the same article:
A GPU is not like x86. It works like in a fixed ISA. So we can always change the definition of what that processor does.
I also think that is the difference in fundamental function here that makes it difficult: a CPU works serial - so you can add multiple chips that have a common goal - to process THE
X or Y data while a GPU works parallel so it is very difficult for a graphic card to achieve multiple game frames rendered on multiple chiplets by going through multiple, parallel datasets.
It can be done by using some semiconductor physics processes that right now are very expensive so these gpu chiplets I don't think that are economically viable right now. Maybe in a long to distant future...