This is a server chip that excels at virtualization.
Also there are plenty of embarrassingly parallel operations like 3D rendering, video editing, password cracking, and so on that would benefits. Ok usually you can use GPUs for that sort of thing but not always.
This is the advantage of a cloud host. Sure you pay a premium, but you're paying not to pay for it when you're not using it (and networking and power and updates and security etc.).
(Disclaimer: I work on Google Cloud)
It doesn't take much usage for those lines to cross.
I think I'd save money by renting a RPi for even $20/day, for instance. :)
>first photo is a 2000x1489px PNG (4.5MB) and it is scaled to just 451x335px.
had on his desk?
Now back to your question on why these are needed, parallelized simulations. I do computational fluid dynamics (CFD) for designing, fixing, troubleshooting, and optimizing processes and products. They solve large systems of equations that need many cores for meshing and solving and then we need high CPU/GPU core counts just to handle and process the data. In my case at least, the average industrial/manufacturing piece of equipment needs about 1000 cores to recreate as a digital twin due to the amount of multiphysics, complicated geometry, etc.
Aside from that let me just remind that pretty much everyone in here is an edge case user. We're not the norm so my guess is that your question should be addressed to the general public. In that context I doubt anyone would need such processing power. It's no surprise that Apple is investing heavily in the iPad Pro product line. Most users could be fine with just a tablet.
