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

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

#301

Post by lolinder »

Abishek_Muthian wrote: post #283

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 et…

This is a very important point.

In general, Nvidia's relationship with Linux has been... complicated. On the one hand, at least they offer drivers for it. On the other, I have found few more reliable ways to irreparably break a Linux installation than trying to install or upgrade those drivers. They don't seem to prioritize it as a first class citizen, more just tolerate it the bare minimum required to claim it works.

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

#302

Post by tsimionescu »

diggan wrote: post #254
gavi wrote: post #243

this image seems to be AI Generated - :-) https://s3.amazonaws.com/cms.ipressroom.com/219/files/20250/... Source: https://nvidianews.nvidia.com/news/nvidia-puts-grace-blackwe...

Agree, unless I've missed some recent invention where keyboards now have two of either Enter/Backspace/Shift keys on the right side. Not sure if that isn't expected though? Likely most people wouldn't even notice, and the company can say they're dogfooding some product I guess.

The keyboard layout seems perfectly reasonable, and rather common: from top to bottom, the rightmost column of keys after the letters would be backspace, |\, enter, shift, ctrl. On the left, mirrored, you have ~`, tab, caps lock, shift, ctrl. The sizes and shapes match many common keyboard layouts I've seen.

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

#303

Post by vladslav »

Abishek_Muthian wrote: post #283

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 et…

I've had a similar experience, my Xavier NX stopped working after the last update and now it's just collecting dust. To be honest, I've found the Nvidia SBC to be more of a hassle than it's worth.

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

#304

Post by yoyohello13 »

neom wrote: post #276

In case you're curious, I googled. It runs this thing called "DGX OS": "DGX OS 6 Features The following are the key features of DGX OS Release 6: Based on Ubuntu 22.04 with the latest long-term Linux kernel version 5.15 for the recent hardware and security updates and updates to software packages, such as Python and GCC. Includes the NVIDIA-optimized Linux kernel, which supports GPU Direct Storage (GDS) without addit…

I wonder what kind of spyware is loaded onto DGX OS. Oh, sorry I mean telemetry.

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

#305

Post by stabbles »

lolinder wrote: post #301
Abishek_Muthian wrote: post #283

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 et…

This is a very important point. In general, Nvidia's relationship with Linux has been... complicated. On the one hand, at least they offer drivers for it. On the other, I have found few more reliable ways to irreparably break a Linux installation than trying to install or upgrade those drivers. They don't seem to prioritize it as a first class citizen, more just tolerate it the bare minimum required to claim it works…

Now that the majority of their revenue is from data centers instead of Windows gaming PCs, you'd think their relationship with Linux should improve or already has.

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

#306

Post by fragmede »

motoxpro wrote: post #186
spaceman_2020 wrote: post #163

Earlier quoted context omitted.

I keep thinking about stocks that have 100xd, and most seemed like obscure names to me as a layman. But man, Nvidia was a household name to anyone that ever played any game. And still so many of us never bothered buying the stock Incredible fumble for me personally as an investor

Unless you predicted AI and Crypto then it was just really good, not 100x. It 20x from 2005-2020 but ~500x from 2005-2025 And if you truly did predict that Nvidia would own those markets and those markets would be massive, you could have also bought Amazon, Google or heck even Bitcoin. Anything you touched in tech really would have made you a millionaire really.

Survivors bias though. It's hard to name all the companies that failed in the dot com bust, but even among the ones that made it through, because they're not around any more, they're harder to remember than the winners. But MCI, Palm, RIM, Nortel, Compaq, Pets.com, Webvan all failed and went to zero. There's an uncountable number of ICOs and NFTs that ended up nowhere. SVB isn't exactly an tech stock but they were strongly connected to it and they failed.

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

#307

Post by lolinder »

stabbles wrote: post #305
lolinder wrote: post #301

Earlier quoted context omitted.

This is a very important point. In general, Nvidia's relationship with Linux has been... complicated. On the one hand, at least they offer drivers for it. On the other, I have found few more reliable ways to irreparably break a Linux installation than trying to install or upgrade those drivers. They don't seem to prioritize it as a first class citizen, more just tolerate it the bare minimum required to claim it works…

Now that the majority of their revenue is from data centers instead of Windows gaming PCs, you'd think their relationship with Linux should improve or already has.

It's possible. I haven't had a system completely destroyed by Nvidia in the last few years, but I've been assuming that's because I've gotten in the habit of just not touching it once I get it working...

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

#308

Post by com2kid »

Cumpiler69 wrote: post #291
TeMPOraL wrote: post #270

Earlier quoted context omitted.

> Gaming fatigues is not. It is. You may know it as the "I prefer to play board games (and feel smugly superior about it) because they're ${more social, require imagination, $whatever}" crowd.

The market heavily disagrees with you. "The global gaming market size was valued at approximately USD 221.24 billion in 2024. It is forecasted to reach USD 424.23 billion by 2033, growing at a CAGR of around 6.50% during the forecast period (2025-2033)"

Farmville style games underwent similar explosive estimates of growth, up until they collapsed.

Much of the growth in gaming of late has come from exploitive dark patterns, and those dark patterns eventually stop working because users become immune to them.

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

#309

Post by ynniv »

lolinder wrote: post #244
derbaum wrote: post #140

I'm a bit surprised by the amount of comments comparing the cost to (often cheap) cloud solutions. Nvidia's value proposition is completely different in my opinion. Say I have a startup in the EU that handles personal data or some company secrets and wants to use an LLM to analyse it (like using RAG). Having that data never leave your basement sure can be worth more than $3000 if performance is not a bottleneck.

Heck, I'm willing to pay $3000 for one of these to get a good model that runs my requests locally. It's probably just my stupid ape brain trying to do finance, but I'm infinitely more likely to run dumb experiments with LLMs on hardware I own than I am while paying per token (to the point where I currently spend way more time with small local llamas than with Claude), and even though I don't do anything sensitive I'm…

I'm pretty frugal, but my first thought is to get two to run 405B models. Building out 128GB of VRAM isn't easy, and will likely cost twice this.
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