that's a pretty good memory load. PLus, with all the crap MS is pulling these days, I'll stick with NTFS. Charlie Gilley “They who can give up essential liberty to obtain a little temporary safety deserve neither liberty nor safety.” BF, 1759 Has never been more appropriate.

This was my thinking. CAD and 3D modelling stuff, rendering, real-time physics simulation, maybe some specific types of AI (probably not very good for ML stuff - most of that targets GPUs), they're workhorses for sure. They're just not real cost efficient except for a pretty small subset of people with lots of massively parallelizable workloads they're constantly running. Someone built a crazy one and posted pics to Reddit awhile back. I think that behemoth sported 2xthreadrippers and something like 1 TB of RAM. People pressed him for wtf he did with that thing. He designs/prints custom anime waifu pillows. P.S. do not get if you want to game - they can totally do it, but as you can imagine, this is not a setup developers test or care about if it does not work

Checks? I remember those. There are no solutions, only trade-offs.    - Thomas Sowell A day can really slip by when you're deliberately avoiding what you're supposed to do.    - Calvin (Bill Watterson, Calvin & Hobbes)

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If you want people to appreciate the benefits of this approach, write an article, hosted here on Code Project showing a non-trivial application created using these techniques. I find myself deeply distrustful of prescriptive ways of working when they are presented as absolutes (e.g. "Functional dependencies are evil!"). No approach is 100% perfect and, generally, there are always be exceptions to the absolutes that are the driving reason for a new way of working. Advanced TypeScript Programming Projects

I agree even though it was submitted as a Tip/Trick. And it's embarrassingly fawning. Robust Services Core | Software Techniques for Lemmings | Articles The fox knows many things, but the hedgehog knows one big thing.

Constraint-Based Scheduling is the discipline that studies how to solve scheduling problems by using Constraint Programming (CP).