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

(techcrunch.com)
623 points magicalhippo | 6 comments | 07 Jan 25 04:14 UTC | HN request time: 0.681s | source | bottom
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Karupan ◴[07 Jan 25 04:41 UTC] No.42619320[source]▶
I feel this is bigger than the 5x series GPUs. Given the craze around AI/LLMs, this can also potentially eat into Apple’s slice of the enthusiast AI dev segment once the M4 Max/Ultra Mac minis are released. I sure wished I held some Nvidia stocks, they seem to be doing everything right in the last few years!
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dagmx ◴[07 Jan 25 04:45 UTC] No.42619339[source]▶
I think the enthusiast side of things is a negligible part of the market.

That said, enthusiasts do help drive a lot of the improvements to the tech stack so if they start using this, it’ll entrench NVIDIA even more.

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Karupan ◴[07 Jan 25 05:20 UTC] No.42619510[source]▶
I’m not so sure it’s negligible. My anecdotal experience is that since Apple Silicon chips were found to be “ok” enough to run inference with MLX, more non-technical people in my circle have asked me how they can run LLMs on their macs.

Surely a smaller market than gamers or datacenters for sure.

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1. stuaxo ◴[07 Jan 25 09:36 UTC] No.42620854[source]▶
It's annoying I do LLMs for work and have a bit of an interest in them and doing stuff with GANS etc.

I have a bit of an interest in games too.

If I could get one platform for both, I could justify 2k maybe a bit more.

I can't justify that for just one half: running games on Mac, right now via Linux: no thanks.

And on the PC side, nvidia consumer cards only go to 24gb which is a bit limiting for LLMs, while being very expensive - I only play games every few months.

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2. ◴[07 Jan 25 12:08 UTC] No.42621585[source]▶
3. wkat4242 ◴[07 Jan 25 14:12 UTC] No.42622473[source]▶
32gb as of last night :)
4. WaxProlix ◴[07 Jan 25 14:15 UTC] No.42622505[source]▶
The new $2k card from Nvidia will be 32GB but your point stands. AMD is planning a unified chiplet based GPU architecture (AI/data center/workstation/gaming) called UDNA, which might alleviate some of these issues. It's been delayed and delayed though - hence the lackluster GPU offerings from team Red this cycle - so I haven't been getting my hopes up.

Maybe (LP)CAMM2 memory will make model usage just cheap enough that I can have a hosting server for it and do my usual midrange gaming GPU thing before then.

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5. FuriouslyAdrift ◴[07 Jan 25 19:46 UTC] No.42626549[source]▶
Unified architecture is still on track for 2026-ish.
6. sliken ◴[07 Jan 25 20:57 UTC] No.42627370[source]▶
Grace + Hopper, Grace + blackwell, and discussed GB10 are much like the currently shipping AMD MI300A.

I do hope that a AMD Strix Halo ships with 2 LPCAMM2 slots for a total width of 256 bits.