←back to thread

623 points magicalhippo | 1 comments | | HN request time: 0s | source
Show context
Abishek_Muthian ◴[] 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 #
tcdent ◴[] No.42624698[source]
If you're expecting this device to stay relevant for 4 years you are not the target demographic.

Compute is evolving way too rapidly to be setting-and-forgetting anything at the moment.

replies(2): >>42624846 #>>42625088 #
1. tempoponet ◴[] No.42625088[source]
Today I'm using 2x 3090's which are over 4 years old at this point and still very usable. To get 48gb vram I would need 3x 5070ti - still over $2k.

In 4 years, you'll be able to combine 2 of these to get 256gb unified memory. I expect that to have many uses and still be in a favorable form factor and price.