201–208 of 208 posts
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I've had 2 Nvidia cards (GTX760 and GTX 1070) and between those 1 AMD card (Sapphire Radeon R9 390) and it was the AMD that constantly BSOD on me. It would run well most of the time but crash my PC often. I appreciate the competition but not willing to risk spending so much if AMD still can't manage.
Sounds like a hardware defect to me. I've had the 380 and never had a BSOD even once.
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If you're referring to userbenchmark, I think you should be weary. For instance, it shows 0% improvement from a 9700K to a 10700K, and only a 4% improvement from a 7700K https://cpu.userbenchmark.com/Compare/Intel-Core-i7-9700K-vs... https://cpu.userbenchmark.com/Compare/Intel-Core-i7-7700K-vs...
userbenchmark is garbage. I was checking PassMark's site
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So what kind of CPUs do you buy, with both Intel and AMD out of the game?
I'm mad at intel for what they did in the past, im mad at amd for what they are currently doing, which do you think will win out?
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I'm mad at intel for what they did in the past, im mad at amd for what they are currently doing, which do you think will win out?
As Intel's Boot Guard is essentially the same feature, and not a thing of the past, my guess was neither of the two. I didn't try to be snarky, I'm really interested in alternatives.
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The industry at large is moving to SYCL, which can be implemented on top of OpenCL / CPUs / FPGAs.
I'm not sure what part of 'the industry' you're referring to, but last time I looked (which was admittedly more than a year ago), there is only one serious SYCL implementation, it's proprietary and the only people pushing SYCL are... drum roll... the people selling that implementation. That's not even considering that OpenCL is in most cases (way) behind CUDA in performance, not to mention that the tooling for OpenCL…
https://software.intel.com/content/www/us/en/develop/tools/o... https://github.com/intel/llvm/blob/sycl/sycl/doc/GetStartedG... https://www.alcf.anl.gov/support-center/training-assets/road...
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> Navi just began to compile a week or two ago. Still 'unsupported', but its slowly gaining features. 14 months after release, still unsupported. AMD needs to step up to the plate if they want to be seriously considered in the AI world.
Its pretty clear what's going on: AMD doesn't have the resources to support all the GPUs they release on ROCm. They focus on the "MI" line of cards, which have similarities to the consumer GPUs. (Ex: Rx Fury is very similar to MI8). Because MI8 and Rx Fury have similarities, AMD gives ROCm support to both. Ditto with MI25 and Vega, and MI6 and Rx 580. EDIT: With "Navi" gaining features in ROCm repos, my bet is that a…
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Generally if you want to do ML tasks you want nVidia. They put the work in early to build the tooling so now the default assumption is that you're on nVidia hardware. It is possible to do some stuff on AMD cards, but you'll be on the cutting edge for that platform re-solving problems that were already solved on the nVidia side.
yes that was my conclusion after some research on this. there is an open issue on github for AMD support on pytorch, and looks like something works on arch linux, but really sounds like support is still in the hacking stage and far from production mode. https://github.com/pytorch/pytorch/issues/10657
If you know where to look (i.e. it's public but unannounced) you can see that nightly wheels have been built for the last few days. So I would expect that some time between now and the Developer Day in November we'll see ROCm appear on PyTorch's "get started" page.
I commented earlier, but figured to add some more: I'm rooting for AMD and also looking to replace a 2012 MBP with an AMD laptop. The defacto cards for ML work seem to be NVDIA (eg their RTX line, https://timdettmers.com/2020/09/07/which-gpu-for-deep-learni... ) Does anyone know if pytorch/sci-kit might offer more support to AMD cards?