Great post. Full of useful tips I always need to remind myself of.

I had one til a few months ago!

The closest thing I’ve been able to find so far (which seems to have been under slow development by 1-2 contributors for the past couple years) is https://github.com/MPSQUARK/BAVCL which is based on ILGPU. I’ll probably be keeping an eye on it though.

Unfortunately I don’t believe NumPy has any built in accelerations (other than being a C library which is fast already), though I don’t really know the ins and outs. There are Python libraries that use the NumPy API or otherwise do some stuff to accelerate it on e.g. CUDA, but the Numpy.NET library as far as I know uses its own embedded Python + numpy, so as far as I can tell that wouldn’t be an option.

This may not be relevant since I have a different gpu and am on Ubuntu, but when I installed proprietary drivers I didn’t have display either because I was using a version of the driver that was too recent (whether due to dropped compatibility or a bug I don’t know). An older one might work!

I don’t doubt there’s a great amount of user growth, but it appears that many of those are account creation spam on instances with 1 active monthly user though.

Edit to add a comment I made on another post Basically there might be about 200k real users right now including lurkers, growing at a rate of basically 13.5k per day.