The names tell you nothing. You can't tell which one came before which, or even what they are. You just have to KNOW that information. A good naming scheme tells you information about the thing named.
The names tell you nothing. You can't tell which one came before which, or even what they are. You just have to KNOW that information. A good naming scheme tells you information about the thing named.
So if you work daily with server you know by heart what is on it, if not any "descriptive" name would only mislead you, because probably stuff changed a lot since naming.
I think the same for hw components, you have to look it up anyway in documentation, because some dimension could be changed after a year.
Never understood what was wrong with 16.04.2 vs Xenial Xerus (had go google the xerus part just now).
We already have a well developed and widely understood system for naming items in a sequence, it's called "numbers." I suggest people stop trying to be clever and use it.
> Big Basin can train models that are 30 percent larger because of the availability of greater arithmetic throughput and a memory size increase from 12 GB to 16 GB. In tests with popular image classification models like ResNet-50, we were able to reach almost 100 percent improvement in throughput compared with Big Sur
Mk 2 is better than the Mk 1 in several important ways. They're not creating Mk 2 for no reason!
These days, CPU speed matters less than it did back then, but there still are CPU-hungry applications (I'm looking at you, Autodesk Inventor!), and if I had to put together a PC from scratch (which I think I'll actually sometime this year), I would be kind of lost.
But that does make the decision what CPU is best for a given use case and budget much more complex, too.
(Like I said, the impact of the CPU on overall system performance is less today than twenty years ago for many use cases, so it is not that much of a problem.)