Hacker News Reader

Comment by lytedev | Hacker News Reader

It seems to be squaring up directly against the mac studio with its efficient APU and big memory bandwidth use cases with a cheaper price tag. At least that's the loose sense that I got based on their keynote.

View on HN

Nvidia project Digits seems to fall in a similar category, no?

It is, and the keynote briefly mentioned it.

It's a bit different. Digits is based on the Tegra CPU, which is an ARM chip with integrated nvidia GPU. It's nearly COTS (commercial off the shelf), but not quite. Tegra CPU support isn't in mainline linux, so you have to run their fork of Ubuntu or build your own kernel. The integrated GPU is a special class in nvidia drivers, and some things just don't work on it (they only work on a discrete GPU) for seemingly no reason too.

Keep in mind the digits is part of their server line and server OS, not the random embedded dev kits often used for developers targeting car entertainment systems and often with abandoned kernel + driver.

The nvidia digits uses DGOS, same as their grace+hopper and similar enterprise/cloud products.

Can you expand on this? If I want to run open-weight LLMs and image generation models in the next few years, how likely is it that I will be able to run the "most popular" models (whatever they will be 12 months from now) if I buy Digits?

Yes, very, but so far they haven't mentioned the memory bandwidth.

Reply on news.ycombinator.com