In case someone here wants to read rather than listen to all the details, I wrote down some notes over at: https://elixirforum.com/t/anyone-who-wants-to-speculate-abou...
> Nx = Project for a collection of libraries. Nx is the core library, the other libraries depend on this core library
> If you come from Python, it can be though of as kind of like Numpy. Long way to go but working on that.
> “Slowness in Elixir” due to immutability and copying etc. Performance comes from module that is part of Nx called Numerical Definitions
> In the definition you write with a subset of Elixir. Elixir kernel is replaced with Numerical kernel.
> Based on Google XLA (accelerated linear algebra)
> You can give it a computation graph and exla compiles it to run efficiently on CPU or GPU
That's actually one of the things I am really looking forward to: see what other compilers people will integrate with. I am aware some of the neural network libs have pluggable compilers but it will be interesting to see it done at the tensor level. :)