When we started the Numerical Elixir effort, we were excited about
the possibilities of mixing projects like Google XLA's (from Tensorflow)
and LibTorch (from PyTorch) with the Erlang VM abilities to run concurrent,
distributed, and fault-tolerant software.
I am very glad we are at a point where those ideas are coming to life
and I explore part of it in the video. My favorite bit: making the tensor
serving implementation cluster distributed took only 400 LOC
(including docs and tests!): https://github.com/elixir-nx/nx/pull/1090
I'll be glad to answer questions about Nx or anything from Livebook's launch week!
When we started the Numerical Elixir effort, we were excited about the possibilities of mixing projects like Google XLA's (from Tensorflow) and LibTorch (from PyTorch) with the Erlang VM abilities to run concurrent, distributed, and fault-tolerant software.
I am very glad we are at a point where those ideas are coming to life and I explore part of it in the video. My favorite bit: making the tensor serving implementation cluster distributed took only 400 LOC (including docs and tests!): https://github.com/elixir-nx/nx/pull/1090
I'll be glad to answer questions about Nx or anything from Livebook's launch week!