As someone who uses ML on embedded devices, it is great to see good alternatives in compiled languages. Nim seems like a very useful and pragmatic language in this regard. Certainly a huge step up from the C and C++ which is still very entrenched.
I think that solid libraries for deep learning is something we will see in practically all programming languages. In 10 years a library covering core usecase (of today) will be as standard as a JSON parser and a web sever, for almost any ecosystem.
Nim is also great on embedded devices, both Linux, RTOS, and barebone! Though ML on embedded would require the "Lazer" pure Nim backend the author has been working on. Well unless you can compile Blas for the embedded device.
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