this post was submitted on 11 Mar 2024
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69
Jensen Huang says even free AI chips from his competitors can't beat Nvidia's GPUs (www.tomshardware.com)
submitted 1 year ago by [email protected] to c/[email protected]
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[–] [email protected] 39 points 1 year ago (2 children)

For Linux it is a huge difference. AMD and Intel have great open source drivers, while Nvidia have binary drivers with a lot of issues.

[–] [email protected] 4 points 1 year ago (1 children)

I find this strange, because I had nothing but trouble getting my R9 390 working with any Linux distro, but my RTX 3060 hasn't given me a single issue on like 6 different distros.

[–] [email protected] 3 points 1 year ago (1 children)

And for AI at home? Since this is a story about AI DataCenters

I want to get an AMD but the integration of Nvidia GPUs for processing ML/AI stuff is much higher. So if I want to mess with running AI at home I only have 1 choice.

I hope AMD release something that competes on that front, and can still play games on the weekend, but currently, he is right there is no competition

[–] [email protected] 2 points 1 year ago (1 children)

I run AI stuff just fine on my AMD GPU using HIP. At least LLMs and Stable Diffusion work perfectly fine but that's the only things I've tested.

[–] [email protected] 1 points 1 year ago

All the benchmarks put the equivalent Nvidia cards almost 2x more in Stable Diffusion https://www.tomshardware.com/pc-components/gpus/stable-diffusion-benchmarks

I hope that is an old benchmark and times have changed, but I can't find anything like it that is more recent.

For a bit of my soul I get a lot more ai power.

AI works on AMD but the speed doesn't seem to be anywhere near Nvidia.