Hey Stewart, I've been using the card for mostly video encoding thus far. I haven't had the time to do a lot of ML on it. The short answer is Yes, but it might be a bit of a pain to set it up. Try one of the supported systems by Nvidia to see if you need to jump through fewer hoops than I did. I didn't do any benchmarks so I can only say subjective things about it -- sped-up editing in kdenlive feels a lot faster, I needed to get a version of the program with disabled HW acceleration and my experience with it was a lot more frustrating. Final video encoding speed doesn't seem to be that much faster, but I think I haven't yet tuned all of the parameters. As I think I mentioned before, gamers are upgrading to GTX 1080 and there are a lot of GTX 1060 6GB (6GB is important, the original version came with 3GB) cards on the market which you can get for less than $200 used. If you have a desktop computer with decent power supply and PCIe (v2 or v3) this is pretty reasonable option. I did a talk on how to get the card working back in August -- https://youtu.be/eMu7ynAwECY?t=2m53s You need to jump though some hoops configuring cuda, it might be worthwhile trying to install it on a supported system. i.e. Ubuntu LTS. There are also a lot of different libraries that have different licensing from nvidia, so even when most of things work, some might still not, the most recent example for me -- scale_npp, this is accelerated video-rescaling I used for downscaling 4K and creating proxies -- https://developer.nvidia.com/ffmpeg Everything was working except for this thing, I had to recompile it myself. This is one of the things that seem to be at least twice as fast as doing this on 8-core CPU. So if something not working or not giving you expected performance look in the logs. Alex. On 2019-10-02 8:55 p.m., Stewart C. Russell via talk wrote:
On 2019-07-20 2:47 p.m., Alex Volkov via talk wrote:
I'm looking to buy used Nvidia GeForce GXT 1060 to run some ML tutorials.
Did this work out for you? I find myself in the market for a CUDA-capable card to run Meshroom — https://alicevision.org/#meshroom — a well-regarded photogrammetry suite. It only works on CUDA-equipped systems.
I don't need to spend much. Technically, the package will run on my 2013 Samsung Chronos ultrabook with a GT 640M graphics card, but it's so slow and hot that it's not worth the bother.
cheers, Stewart --- Post to this mailing list talk@gtalug.org Unsubscribe from this mailing list https://gtalug.org/mailman/listinfo/talk