numba888

well, "RTX Pro Blackwell" desktop and workstation version looks to be the answer for midrange. Some should be available starting in April.

Edge inference most likely. Its FP4 performance is about 1/3 of 5090, power 170W for the whole thing. It can run big model or several small. Shifting balance to memory favors MoE. Would be nice to see FP32 numbers, they are used in training. My guess about 20 TFLOP, may be more, but 5090 is still times better.

> glad to hear about DGX Station

how much is it expected, my guess barely fits in 5 digits. Would be nice to have something in between Spark and Station. I.e. some desktop withing $20K.

what's the better alternative, DIY AMD? No, thanks. I'm interested in the result, not the process. In terms of robotic software there is just nobody close. Any attempt to port it to different hardware will be just a big pain and limited result at best. So NVidia looks to be the way to go till China catches up.

cool robot at the end ;)

It looks to be the whole line with different performance. But no dates and times

2 hours in, don't see anything about Digits, their 'personal supercomputer'. Did I miss something?

It doesn't mean it's wrong. Like partial derivatives are centuries old. But we are moving on. Just recently I've seen a book on image recognition. While recent it was focused on math and not a word about NN. That looked so outdated. Someone spent the whole carer on this way. Another example would be linguistic approach to text translation. 'Stupid' LLM does it way better today. I can only guess how pro linguists feel about it.

2000-2003, both are pre-historic. We have neural networks now to do things like upscaling and colorization.

> At almost three pounds (.4 kilograms), Mixodectes was quite large

Something is wrong here with the numbers..

I did it some time ago. It works at low levels. Doing it in hard cases is non-trivial but possible. It's difficult to monetize that's why nobody is doing it seriously.

That would require keeping a library of 'given facts'. Which would include reproducible copyrighted materials or their derivatives.

That would mean with current resources AI can get so much more intelligent than humans, right? Aren't you scared?

In some cases it doesn't recover even without physical or chemical damage. Psychiatric clinics are full of this stories.