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The same thing happened with the 2080 / Titan and looks to be confirmed for the 3000 series by AnandTech. https://twitter.com/RyanSmithAT/status/130199647944845
by paulgerhardt 6y ago
The same thing happened with the 2080 / Titan and looks to be confirmed for the 3000 series by AnandTech. https://twitter.com/RyanSmithAT/status/1301996479448457216 https://twitter.com/RyanSmithAT/status/1301996479448457216
The Reddit AMA implies the Ampere architecture supports this configuration but is software limited under the FP32 section:
https://www.reddit.com/r/nvidia/comments/ilhao8/nvidia_rtx_30series_you_asked_we_answered/?utm_source=share&utm_medium=ios_app&utm_name=iossmf https://www.reddit.com/r/nvidia/comments/ilhao8/nvidia_rtx_3...
To epistemologically correct, I don't believe one will ever see a statement from NVIDIA confirming that this is a software limitation. I believe it's just inferred.
edit: This is close to confirmation: https://imgur.com/a/RH8vyz9 https://imgur.com/a/RH8vyz9 -though I may suspect there are non reversible hardware fuses at play too.
- moyix 6y agoThe AMA section on FP32 seems to imply it's in hardware though, unless I'm missing something – datapath is a hardware term, at least. I mean, I really hope that it's just in the driver so that an enterprising reverse engineer can hack the driver and re-enable full FP16/FP32 accumulate :)
- M277 6y agoThey also did this with the TITAN in the past, I think, so it's not entirely unprecedented. TITAN X got access to pro drivers shortly after AMD announced the Vega Frontier Edition.
- meragrin_ 6y agoMaybe it is a type of binning. Maybe the machine learning specific hardware is more prone to errors so they just disable that on subpar chips and sell them for use in graphics cards?