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AMD Patents Chiplet Architecture for Radeon GPUs

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Well smaller chips are cheaper than a larger monolithic design by a wide margin.
 
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Big question is, will it cost more.
The main reason for doing this is to reduce costs. So no. The interposer will obviously not be cheap, but given sufficient production volume the cost of that will make little difference compared to the savings of making smaller dice. See my calculations a few posts up for a rough estimation.
 
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Cost and chiplet design overhead is also the function of chiplet size and count.
 
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Cost and chiplet design overhead is also the function of chiplet size and count.
True. Designing a cutting-edge chip and getting it mass produced does after all cost from hundreds of millions of USD to billions of USD. If a chiplet design allows them to go from, say, small-medium-large-XL monolithic chips to small+medium chiplets in various combinations, that is a massive R&D and manufacturing savings even when accounting for the R&D needed for interposer development, advanced packaging technologies, etc.
 
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Judging by the 20 C difference between edge temp and hotspot temp on my 5700 XT under load, imagine it must be easier to cool a bunch of smaller dies than a single big one.
 
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Judging by the 20 C difference between edge temp and hotspot temp on my 5700 XT under load, imagine it must be easier to cool a bunch of smaller dies than a single big one.
That depends. Getting a single cold plate to make ideal contact with a collection of individual surfaces will always be more difficult than having it make contact with a single surface. Also, edge/hotspot temperature deltas like that are likely found on all high powered chips, it's just rare for them to have a thermal reporting system that allows users to see both. A smaller die is of course likely to pull less power and might have a smaller distance from edge to hotspot, but the difference isn't likely to be huge. The portion of the chip consuming the power will always be hotter than surrounding regions.
 
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So they decreased the chiplet dependency on new ryzens 5000, and they want to introduce similar thing to GPU? Why? Havent they learned about latency...
 
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So they decreased the chiplet dependency on new ryzens 5000, and they want to introduce similar thing to GPU? Why? Havent they learned about latency...
Hm? There are exactly the same amount of chiplets in Ryzen 5000 as Ryzen 3000. They reduced the number of CCXes (Core Complex) per CCD (chiplet, Core Complex Die) from 2 to 1 by doubling the number of cores per CCX, but there are still two CCDs + an IOD in anything with >8 cores and one CCD for anything =<8 cores.
 
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Hm? There are exactly the same amount of chiplets in Ryzen 5000 as Ryzen 3000. They reduced the number of CCXes (Core Complex) per CCD (chiplet, Core Complex Die) from 2 to 1 by doubling the number of cores per CCX, but there are still two CCDs + an IOD in anything with >8 cores and one CCD for anything =<8 cores.

You are right. I thought they've ditched the whole infinity fabric shtick and made unified die. They actually didn't.
 
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You are right. I thought they've ditched the whole infinity fabric shtick and made unified die. They actually didn't.
That's only the APUs, AMD aren't going back to monolithic dice for CPUs, likely not ever. The MCM approach allows them low production costs, high yields, great binning flexibility, easy configurability, and a heap of other advantages. And latency is much improved too, even if monolithic chips are still better in that regard.
 
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So they decreased the chiplet dependency on new ryzens 5000, and they want to introduce similar thing to GPU? Why? Havent they learned about latency...

Ryzen 5000 I/O die only has 50GBps to each chiplet. GPUs need 500GBps (10x more than CPU bandwidth), but are allowed to have higher latency. The infinity fabric on AMD's CPU needs to be majorly changed to be effective in a GPU architecture.

NVidia's NVLink is closer to a proper chiplet design than anything AMD has made in their GPUs so far. The AMD MI100 Infinity Link system is along the right approach, but only reaches 80GBps. NVidia is pushing 600GBps with the latest generation of NVLink.
 
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Ryzen 5000 I/O die only has 50GBps to each chiplet. GPUs need 500GBps (10x more than CPU bandwidth), but are allowed to have higher latency. The infinity fabric on AMD's CPU needs to be majorly changed to be effective in a GPU architecture.

NVidia's NVLink is closer to a proper chiplet design than anything AMD has made in their GPUs so far. The AMD MI100 Infinity Link system is along the right approach, but only reaches 80GBps. NVidia is pushing 600GBps with the latest generation of NVLink.
IF can scale out much, much wider than its implementation in Ryzen though, so aggregate bandwidth shouldn't be a problem. But still, there's no mention of IF in the patent, so they might be using some other bus for this (or just keeping the patent intentionally vague, obviously).
 
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IF can scale out much, much wider than its implementation in Ryzen though, so aggregate bandwidth shouldn't be a problem. But still, there's no mention of IF in the patent, so they might be using some other bus for this (or just keeping the patent intentionally vague, obviously).
Sure IF can scale. The problem isn't scalability, it is probably power at large bandwidth numbers :)
This is not unique to AMD either, Nvidia has the same problem with NVLink.
 
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Sure IF can scale. The problem isn't scalability, it is probably power at large bandwidth numbers :)
This is not unique to AMD either, Nvidia has the same problem with NVLink.
Oh, absolutely. But given that AMD can handle a ton of IF links over relatively long distances through a PCB substrate in TR with about 70W of power for those links + the IOD (including 8 memory controllers and a heap of PCIe), implementing a wide link setup through a silicon interposer for GPUs ought to be manageable in terms of power if we consider a total package power envelope of 250-300W.
 
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Chimp innovation at it's finest...so advanced you'd swear it's bananas! This chimp copies that chimp who makes those chimps go chimpanzee OMG bananas over it!!!
 
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so, amd just copies every step Intel has already done, or planned to do. yawn
Ah, yes, because nobody has talked about MCM GPUs before Intel ...

My guess, AMD, Nvidia and Intel have all been at work on this tech for 3+ years.
 
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so, amd just copies every step Intel has already done, or planned to do. yawn
In what way, AMD are laying out a path to their version of multi die GPU and Intel sure as shit were not doing multi die GPU before AMD.
Pontevechio was for servers not consumer's.
Interesting actual angle, from my reading you have master and slave dies, massive bandwidth but essentially one tile to rule them all and an io die in the interposer.

First GPU does all the scheduling, the first virtex pass on math's Then hand's out work, there may be a efficiency hit on the first designs, of few tiles but if it scales it could serve well as a forward path and be really effective across 8 or more tiles.
 
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This solution is based on a 12 inch wafers and in the future the industry will move to 18 inch wafers, which means higher utilization of the fab and better pricing per wafer and eventually better prices to the end user. Basically, much more dies per wafer. This die per wafer calculator show the various options per wafer size: https://anysilicon.com/die-per-wafer-formula-free-calculators/
Hasn't that been "in the future" for like two decades now, with no real progress being made? Considering the massive fab expansions in the works currently (planned to be ready for mass production between this year and 2025-27), all of which are 300mm, it's going to be a long, long time until 450mm wafers take over high end fabs.
 
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