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16GB for $330. The price is about the same as an Arc A770 16GB, and about 66% of a 4060 Ti 16GB. That's potentially compelling. I'd love to see benchmarks and
by blagie 3y ago
16GB for $330. The price is about the same as an Arc A770 16GB, and about 66% of a 4060 Ti 16GB.
That's potentially compelling.
I'd love to see benchmarks and compatibility for PyTorch, llama, Stable Diffusion, etc. I assume it's still a train wreck, but if AMD can get it's software stack in shape, that'd be very, very competitive.
- bavell 3y agoI've had very little issues (other than not amazing perf) with my last-gen 6750XT running llamacpp and SD for the last 8-10 months.
- FuriouslyAdrift 3y agoFor stable diffusion, I have found the DirectML fork works great (https://community.amd.com/t5/ai/how-to-automatic1111-stable-diffusion-webui-with-directml/ba-p/649027 https://community.amd.com/t5/ai/how-to-automatic1111-stable-...) Needs a few start arguments (--lowvram --precision full --no-half --skip-torch-cuda-test). YMMV. GPT4All also works well for LLML on AMD.
- tharmas 3y agoMany thanks for the reference to GPT4All. I wasn't aware of it before.
- blagie 3y agoKind of. Here's the basic problem: 1) The BIG tools have SOME port to AMD. I am confident that one can run Mistral or SD in some framework there. 2) It's a port. If you want to do anything bleeding edge, development, niche, or similar, it's a dumpster fire. I do dome amount of development which uses LLMs. I want to be able to use a model directly from Hugging Face and have it just work.
- FuriouslyAdrift 3y agoOnly reason I am using the DirectML fork of Automatic1111 is because I am on Windows and pytorch hasn't caught up to RocM 6. DirectML is fully supported path on Windows and is support by Microsoft et al. (https://github.com/microsoft/DirectML https://github.com/microsoft/DirectML). Everyone is moving off Cuda as quickly as possible not because the other are better, per se, but because it is easier and cheaper.
- LooseMarmoset 3y agoa limited anecdote for you: I played a lot of War Thunder on Devuan (Debian minus systemd) through Steam. Up till last year, I owned an nVidia 1080Ti. Performance in Linux was quite good, but I had crash after crash in War Thunder - Gaijin blamed nVidia for the bug, nVidia blamed Gaijin. End result was it remains crashy. Closed-source, so nobody who really cares can look. The crashes were so frustrating I decided to go AMD. nVidia driver updates are sometimes a crapshoot, most times it works fine, but every now and again the update results in a broken Xorg which is a PITA to fix, heaven help you if you get a mix of the nouveau and the official drivers. Last year, I bought an AMD 6700XT as the prices dropped. I chose the 6700XT as it seemed like the best performance at the lowest power/cooling requirement. Gaming has been flawless with just the in-kernel drivers using RADV. No addon software stack required, "it just works". I play a lot of games using Proton/Steam, so if issues were going to pop up, it would be there. I had some initial confusion as I thought I'd need to download the drivers from AMD, but as it turns out everything works great in kernel 6.x automatically provided you have the non-free firmware packages installed.
- westpfelia 3y agoWas there anything you did to help run the game after the switch? I have a 7900 xtx and WT crashes after each match :/ I am running Fedora w/ Wayland.
- LooseMarmoset 3y agoI'm not running Wayland, so I can't answer questions on that. Also, you have the 7900, and I imagine the drivers for that are pretty new. You'll want a fairly recent kernel (6.1+) You might want to look for updated AMD firmware on kernel.org - do a "grep -i firmware /var/log/messages" or syslog or whatever Fedora is using now. The output of "dmesg" probably also contains some clues. feel free to post back here if you find stuff.