3 ms·
What was the rate of variance you were seeing? I'm curious how much it compares to other similar setups. I haven't been technically in the weeds for almost 6-7
by alephnerd 2y ago
What was the rate of variance you were seeing? I'm curious how much it compares to other similar setups. I haven't been technically in the weeds for almost 6-7 years so kind of curious.
That said, HPC is hard, and even minor hardware/OEM failures can have a massive downstream impact.
Also you seem to be downvoted for no reason. At that size of a cluster, I'd be surprised if you didn't have a subset of flawed GPUs.
> There was a running theory that the edge chips were not as good
My gut would agree with that sentiment, simply because engineering is hard and it takes time to stabilize QA (eg. look at how long it took to stabilize hard disk QA, let alone a bleeding edge GPU architecture).
- latchkey 2y agoYea, don't know about the downvotes. ¯\_(ツ)_/¯ We had a minimum expected hashrate and power profile depending on the card model and batch. It would be in the 0-20% range. For what I'm doing now with my company which is more bleeding edge... we just deployed a cluster of 128 MI300x (8x gpus in a chassis). A good 50% of the chassis had 1-2 issues either in the gpu or the baseboard, on delivery.
- Numerlor 2y agoAgain only consumer side knowledge but there's clearly very wide degree of variance Navi 31 just from all the models it's used on, as I doubt they're puposefully cutting the silicon that much without the parts already being unusable for more expensive gpus. It goes from a 7900 GRE, 7900 xt to a 7900 XTX with roughly a fifth of the processing unavailable on the lowest tier compared to highest. Then from what I know from overclocking communities the different 7900 XTXs also vary up to over 10% when on the same 550w bios. It's probably more apparent when going over that power limit but that requires hardware modding and people aren't doing that on low tier bins and there isn't as much data.