It wasn't just one mobo. They said it was a mix between Supermicro and (I think) ASUS boards, suggesting multiple examples of each.If such a workload even did exist, and if that's why their processors failed (PC World had a mobo which turned out to be killing RPL CPUs for example) and if they were even telling the truth in the first place.
I'm trying to find the article where they mentioned it failing on laptops, because I'd like to know precisely what they said. It could be that they only had a couple instances where a laptop failed and maybe that was caused by something else? It's also not impossible that what Intel said is wrong.These are the folks who claimed laptops were failing in the same manner. Have you heard any other reports of laptops failing? I haven't, and Intel has certainly denied it at every turn.
However, the data they presented on their servers was quite comprehensive and demonstrable. I would not discount that, just because an off-hand remark about laptops also failing might have been incorrect.
It seems like you look for any excuse you can find to discount any data you don't like.
I don't believe nobody else has, but it's probably not very common to use Raptor Lake desktop dies in server workloads like that. Maybe nobody else just dared to go public, like they did, or got picked up by an outlet like L1Techs.It is completely unbelievable that a single developer has some sort of workload that can kill a part that nobody else has.
Unless you think you're omniscient, how could you claim that nobody else has? There are undoubtedly people who would just quietly switch CPUs, after suffering a second such failure.
I don't know what you mean by "triggering", here. Do you mean a workload on which a malfunction is detected, or do you mean a workload which actually causes the degradation?Especially when there are other examples of workloads which were triggering failures but weren't 100%.
The problem with most cases we've heard about is that they're just normal users who are doing fairly normal things with their PCs. That makes it very non-deterministic, and hard to know whether variation is due more to varying usage patterns or varying silicon.