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That's not really on how I see it. He's trying to do everything on AMD's consumer based GPU's, while he's comparing it with NVidia's enterprise GPU's with the
by NicoJuicy 3y ago
That's not really on how I see it.
He's trying to do everything on AMD's consumer based GPU's, while he's comparing it with NVidia's enterprise GPU's with the same expectations.
That's just not how it works in real life. But if he succeeds, yeah, he could save tons of money and his hardware for ML could actually be completed.
- modeless 3y agoThis is wrong for two reasons. One, he claims that AMD's enterprise GPUs are also unreliable. Two, he is comparing vs. 4090 which is a consumer GPU and CUDA is very reliable as it is on all of Nvidia's consumer hardware.
- dannyw 3y agoNVIDIA’s consumer GPUs are highly reliable and support the same CUDA capabilities as the enterprise products. This is something NVIDIA gets right. Meanwhile, ROCm isn’t even supported on certain lower end AMD consumer chips.
- llm_trw 3y agoRocm is only supported on the last generation of flagship graphics cards. Which is a shame because the Radeon VII is still better than anything else when it comes to 64bit float computation.
- mnau 3y ago"Supported" I watched geohot streams and if he can go for an hour with a need to restart the computer due to crashed kernel driver/locked up card, it's a miracle (various computers, one or multi-card setup). And he is not trying to crash the driver, just making the most basic stuff work. I seriously think there is a deep HW bug that caused the difference in performance between RDNA3 presentation and reality and they had to do some horrible hacks to make it work. Either that or the card never seen a tester for compute. Which is strange, considering they added it as a "supported" option.