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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'

#281
post #257

Nvidia releases a Linux desktop supercomputer that's better price/performance wise than anything Wintel is doing and their whole new software stack will only run on WSL2. They aren't porting to Win32. Wow, it may actually be the year of Linux on the Desktop.

> their whole new software stack will only run on WSL2. They aren't porting to Win32 Wait, what do you mean exactly? Isn't WSL2 just a VM essentially? Don't you mean it'll run on Linux (which you also can run on WSL2)? Or will it really only work with WSL2? I was excited as I thought it was just a Linux Workstation, but if WSL2 gets involved/is required somehow, then I need to run the other direction.

Yes, WSL2 is essentially a highly integrated VM. I think it's a bit of a joke to call Ubuntu WSL2, because it seems like most Ubuntu installs are either VMs for Windows PCs or on Azure Cloud.

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

#282

Earlier quoted context omitted.

The memory is LPDDR accordning to the specs graphic on the NV product page: https://www.nvidia.com/en-us/project-digits/ Anyone willing to guess how wide?

I've seen some claims that it can do 512 GB/s on Reddit (not sure where they got that from), which would imply a ~300 bit bus with LPDDR5X depending on the frequency.

probably:

"According to the Grace Blackwell's datasheet- Up to 480 gigabytes (GB) of LPDDR5X memory with up to 512GB/s of memory bandwidth. It also says it comes in a 120 gb config that does have the full fat 512 GB/s."

via https://www.reddit.com/r/LocalLLaMA/comments/1hvj1f4/comment...

"up to 512GB/s of memory bandwidth per Grace CPU"

https://resources.nvidia.com/en-us-data-center-overview/hpc-...

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

#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 etc. became useless.

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

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

#286
post #267
post #260

Earlier quoted context omitted.

The text on the screen is an obvious giveaway.

Damn, you're right. I didn't even consider looking at the monitor itself as "They can't be so lazy they don't even use a real screenshot" while faking the rest kind of makes sense, otherwise you need a studio setup. Never underestimate how lazy companies with a ~$3 trillion market cap can be.

I mean the whole company is betting on AI, why wouldn’t they use AI to generate the image?? Fundamentally it doesn’t matter if it was AI generated or not, most people don’t care and the people that do won’t impact their bottom line

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

#287
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...

Prompt: something with some splashy graph on screen.

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

#288
post #149

How about “We sell a computer called the tinybox. It comes in two colors + pro. tinybox red and green are for people looking for a quiet home/office machine. tinybox pro is for people looking for a loud compact rack machine.” [0] [0] https://tinygrad.org/#tinybox

These look terrible. For 5 times the price you get worse performance.

Are you comparing tinybox red with 738 FP16 TFLOPS at $15K to Project Digits with 1 FP4 PFLOP at $3K? Or did they announce the Project Digits FP16 performance somewhere?

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

#289

If they end up actually shipping this, lots of people will buy these machines to get an AArch64 Linux workstation—even if they are not interested in AI or Nvidia GPUs. At $3,000, it will be considerably cheaper than alternatives available today (except for SoC boards with extremely poor performance, obviously). I also expect that Nvidia will use its existing distribution channels for this, giving consumers a shot at…

> At $3,000, it will be considerably cheaper than alternatives available today $3000 gets me a 64-core Altra Q64-22 from a major-enough SI today: https://system76.com/desktops/thelio-astra-a1-n1/configure And of course if you don't care about the SI part, then you can just buy that motherboard & CPU directly for $1400 https://www.newegg.com/asrock-rack-altrad8ud-1l2t-q64-22-amp... with the 128-core variant being $240…

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