Depends how it goes down, if a company goes into insolvency all security policies are off the table and random hardware can get shifted into lot bidding.
HDD can be written multiple times with random data if data centers really have to protect what their former customers wrote on them. I never looked at those details in standard contracts.
My understanding is that refurbished GPUs from e.g. crypto mining are something people are warned away from, because they've often been run into the ground. Are AI usage practices different?
> My understanding is that refurbished GPUs from e.g. crypto mining are something people are warned away from, because they've often been run into the ground.
No, this wasn't the case. While there were never comprehensive studies various tech media purchased these cards to run testing and found that, other than scammers, they all performed to expectation.
> And when the AI bubble bursts, "refurbished" HDDs and GPUs will flood the market.
GPUs? No way. The datacenter cards don't even have video output ports, and I think the chips destined for AI / ML training also have everything video/render related removed from the silicon, makes for more yield.
And the other way around, using (cheap) consumer GPUs in servers, I think at least NVDA tries to prevent that with driver-based DRM, so there won't be any flooding coming from there either.
Nux|3 months ago
HugoTea|3 months ago
pmontra|3 months ago
There is also encryption at rest.
bigbuppo|3 months ago
archagon|3 months ago
downrightmike|3 months ago
microtherion|3 months ago
trenchpilgrim|3 months ago
No, this wasn't the case. While there were never comprehensive studies various tech media purchased these cards to run testing and found that, other than scammers, they all performed to expectation.
PeaceTed|3 months ago
Even if it say, halved the life span of the chips, that is still far longer than what most people would ever use them for.
mschuster91|3 months ago
GPUs? No way. The datacenter cards don't even have video output ports, and I think the chips destined for AI / ML training also have everything video/render related removed from the silicon, makes for more yield.
And the other way around, using (cheap) consumer GPUs in servers, I think at least NVDA tries to prevent that with driver-based DRM, so there won't be any flooding coming from there either.
esseph|3 months ago