Nvidia might be considering using sockets for its next AI mega GPUs but that's not going to happen with its GeForce graphics cards

HardwareProcessorsNvidia might be considering using sockets for its next AI mega GPUs but that’s not going to happen with its GeForce graphics cardsWhen you purchase through links on our site, we may earn an affiliate commission.Here’s how it works.

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(Image credit: Nvidia)

An image of an Nvidia GB200 Grace Blackwell super chip against a black background

Desktop PCs, workstations, and servers share many common aspects, one of which is the CPU is nearly always mounted in a mechanical socket. However, when it comes to big AI servers, especially those using Nvidia chips, there isn’t a socket in sight, making upgrades or repairs more complicated. According to one report, though, Nvidia could well change its mind on that.

The report in question comes fromTrendforce(viaChiphell) which claims that for its next series ofBlackwell AIchips, the B300 lineup, Nvidia will switch from using directly mounted processors to a socketed design. Although the former provides the best possible performance, it does make maintenance and general servicing a pain in the neck.

Trendforce also points out that the change would benefit the manufacturers who build Nvidia AI hardware, as it would reduce the amount of surface-mounting machinery required or at the very least, reduce the amount of time spent using the equipment that’s already used to make Nvidia’s systems.

AMD already uses a socket for itsInstinct MI300A monster chips, specifically an SH5 socket, which looks suspiciously like its SP5 socket for EPYC server CPUs. Intel, on the other hand, follows Nvidia’s line of thinking with itsGaudi 3 AIaccelerators, but since there aren’t a huge number of companies using that processor, there’s no pressure on Intel to make it socketed.

Of course, none of this really means anything to the general consumer, and the one thing you can be certain about is that you’re not going to see a socketed GPU any time soon, if ever. One reason for this is that AMD and Nvidia’s mega AI accelerators have RAM on the same package as the processing chiplets, so there’s no need to worry about replacing the memory when one needs to swap out the accelerator.

Discrete graphics cards have RAM soldered to the circuit board and although there have been consumer GPUs with on-package VRAM in the past (e.g. theRadeon VII), the cost of such systems compared to the use of high-speed GDDR6 makes it uneconomical to do this at scale these days.

You might then wonder why not have the GPUandVRAM both socketed, just as with the CPU and system memory in your desktop PC. Apart from reducing the overall performance of the graphics card’s memory system, it would increase the cost of manufacturing the card.

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Given how expensive they are these days, I’m not sure anyone would want to absorb that additional cost just to have the option to upgrade the GPU and RAM while keeping the same circuit board. Memory slots in motherboards follow an agreed standard, too, and CPUs are designed around that standard.

Nothing like this exists for GPUs and I can’t see AMD, Intel, and Nvidia ever agreeing on a VRAM socket design. It would also make GPUs unnecessarily complicated, too.

If you look at everyAM4 Ryzen processor, they all have a dual channel 128-bit wide memory controller in them, whereas Nvidia’s currentRTX 40-seriesof GPUs range from 96-bits through to 384-bits. Accommodating all that in a socket system is just too complex and thus too expensive.

Perhaps one day, in the dim and distant future, we’ll get discrete GPUs in a socket but for now, it’s only the humble CPU and cash-cow AI chips that are.

TOPICSNvidia

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PRODUCTSNvidia BlackwellNvidia GeForce RTX 5070Nvidia GeForce RTX 5080Nvidia GeForce RTX 5090

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