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Tuesday | April 13, 2021
A100: a very big GPU for miners? It could be that maybe it is!

A100: a very big GPU for miners? It could be that maybe it is!

With all this mining stuff going on, Nvidia has a whole series of GPUs in the works to satisfy the demand of miners. First and foremost, we can mention the CMP 30HX, of which an early Gigabyte model was visible. Moreover, the chameleon would not stop there and could decline its colossal GPU A100 in a model dedicated to mining. At least that’s what the rumor spread by Kopite7kimi indicates.

A100: the colossal server GPU declines into a mining card?

nVidia GA100

Image source TechpowerUp

To get an idea, the base GPU, the A100 exploits the Ampere architecture within a huge 826 mm² GPU. The latter contains 54.2 billion transistors and its configuration is not outdone. Indeed, we find 6912 Cuda Core, 432 TMU and 160 ROP. As for the memory, we have 40 GB of HBM2e (six stacks) based on a 5120-bit bus. In short, all this contributes to offer a theoretical performance of 77.97 TFLOPS in half precision, 19.49 TFLOP in single precision and 9.74 TFLOP in double precision.

As you can imagine, this is not a card that is intended to be used in a gaming

PC. On the contrary, it is a card that will be found in computing servers and other data centers. Its role is intended for AI computing, data analysis and other similar activities.

All of this leads to the fact that Nvidia may well offer a mining version of its GPU. This is what Kopite7kimi says on Twitter, which indicates that we will see this GPU land in the CMP HX range of the chameleon.

Of course, we’ll have to wait and see, since the operation must be profitable for both Nvidia and the miners. First of all, let’s remember one thing, the price of the A100 which is given for more than 10,000€. At this level, we doubt that a miner would be ready to invest so much in a GPU. Although we are under no illusion, if such a card is to exist, savings will be made. On the one hand, the datacenter-oriented software solution will not be provided. Similarly, we can also imagine a GPU that is stripped of a number of HBMe memory stacks, as suggested by VideoCardz.

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Edited by Calliers

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