it appears the opposite is true and that's why it's faster than an A100, which is optimized for yield and allows more defects
replyThey definitely did, but maybe you can get some good results running your own tests and determining if they really ARE bad or not, or they just overly tagged them out.
replyIsn’t this how these things are always done? Same with number of cores in a CPU, the higher core and lower core come from the same fabrication process, it’s just that the lower core CPU had more faulty cores that are disabled.
replyDepends a lot on when its from in the product cycle, the yield at the end of production runs are usually so good that it turns into artificial product segmentation
replyYes, that's why I question the approach here.
replyTesting hardware is a complicated matter (you can do a PhD on the topic), and nvidia probably does a better job at it than a hacker in their basement who thinks they can upgrade their GPU for free.
On the other hand ... perhaps a few bit errors is not a problem for AI workloads ... but they could also crash your system ...
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