This is the first thing you have to know about supervised learning:Both of those already have hardware acceleration available as of the 2010s.
- training is when you learn model parameters from input. This literally means learning the best value we can for a bunch of number input numbers of the model. This can easily be on the hundreds of thousands.
- inference is when we take a trained model (i.e. with the parameters determined), and apply it to new inputs
Wikipedia mentions that it is completely analogous to Planck's law.
Applied Materials by Asianometry (2021)
Source. They are chemical vapor deposition fanatics basically.This company is a bit like Sun Microsystems, you can hear a note of awe in the voice of those who knew it at its peak. This was a bit before Ciro Santilli's awakening.
Both of them and Sun kind of died in the same way, unable to move from the workstation to the personal computer fast enough, and just got killed by the scale of competitors who did, notably Nvidia for graphics cards.
Some/all Nintendo 64 games were developed on it, e.g. it is well known that this was the case for Super Mario 64.
Silicon Graphics Promo (1987)
Source. Highlights that this was one of the first widely available options for professional engineers/designers to do real-time 3D rendering for their designs. Presumably before it, you had to do use scripting to CPU render and do any changes incrementally by modifying the script. Scientific Autobiography and Other Papers by Max Planck translated by Frank Gaynor (1949) by 
Ciro Santilli 35 Updated 2025-04-24 +Created 1970-01-01
Ciro Santilli 35 Updated 2025-04-24 +Created 1970-01-01 Unlisted articles are being shown, click here to show only listed articles.