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

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 buying the hardware (without first creating a company and losing consumer protections along the way).

$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 $2400 https://www.newegg.com/asrock-rack-altrad8ud-1l2t-q64-22-amp...

For certain applications, e.g. for those with many array operations, the 20 cores of Digits might match 40 cores of Altra at equal clock frequency, but the cores of Digits are likely to also have a higher clock frequency, so for some applications the 20 Arm cores of Digits may provide a higher throughput than 64 Altra cores, while also having a much higher single-thread performance, perhaps about double.

So at equal price, NVIDIA Digits is certainly preferable as a workstation instead of a 64-core Altra. As a server, the latter should be better.

There have not been any published benchmarks demonstrating the speed of Cortex-X925 in a laptop/mini-PC environment.

In smartphones, Cortex-X925 and Snapdragon Elite have very similar speeds in single thread.

For multithreaded applications, 10 big + 10 medium Arm cores should be somewhat faster than 12 Snapdragon Elite.

The fact that NVIDIA Digits has a wider memory interface should give it even more advantages in some applications.

The Blackwell GPU should have much better software support in graphics applications, not only in ML/AI, in comparison with the Qualcomm GPU.

So NVIDIA Digits should be faster than a Qualcomm laptop, but unless one is interested in ML/AI applications the speed difference should not be worth the more than double price of NVIDIA.