←back to thread

Nvidia's Project Digits is a 'personal AI supercomputer'

(techcrunch.com)
623 points magicalhippo | 2 comments | 07 Jan 25 04:14 UTC | HN request time: 0s | source
Show context
Abishek_Muthian ◴[07 Jan 25 14:59 UTC] No.42623030[source]▶
I'm looking at my Jetson Nano in the corner which is fulfilling its post-retirement role as a paper weight because Nvidia abandoned it in 4 years.

Nvidia Jetson Nano, A SBC for "AI" debuted with already aging custom Ubuntu 18.04 and when 18.04 went EOL, Nvidia abandoned it completely without any further updates to its proprietary jet-pack or drivers and without them all of Machine Learning stack like CUDA, Pytorch etc. became useless.

I'll never buy a SBC from Nvidia unless all the SW support is up-streamed to Linux kernel.

replies(8): >>42623475 #>>42623488 #>>42623818 #>>42624449 #>>42624698 #>>42624923 #>>42625236 #>>42625420 #
1. nickpsecurity ◴[07 Jan 25 18:12 UTC] No.42625420[source]▶
If its stack still works, you might be able to sell or donate it to a student experimenting. They can still learn quite a few things with it. Maybe even use it for something.
replies(1): >>42625821 #
2. sangnoir ◴[07 Jan 25 18:47 UTC] No.42625821[source]▶
Using outdated tensorflow (v1 from 2018) or outdated PyTorch makes learning harder than it need to be, considering most resources online use much newer versions of the frameworks. If you're learning the fundamentals and working from first principle and creating the building blocks yourself, then it adds to the experience. However, most most people just want to build different types of nets, and it's hard to do when the code won't work for you.