For the same reason you count square footage on a home or horsepower on a sports car. How else would you compare entirely different chips? If transistors are too raw a metric for you, we can use performance instead -- that would demolish your comparison even worse.
By cost? Since that's what we were comparing in the first place.
Suddenly pulling in a metric like transistor count makes no sense, that transistor count has increased is a given since that's pretty much the one driving factor behind the entire chip industry, squeezing more transistors into less space to increase performance/reduce costs.
Not just lower yields and high wafer costs, but far higher costs for the manufacturing facilities used to build these chips. The 8800 was built in 65nm fabs that cost under $1B, the 5090 in 4nm fabs that cost fifty times as much. Oh, and 4nm manufacturing also requires far more steps than 65nm, and is correspondingly slower.
We were talking about the 8800 ultra, not the 8800. Ultra is on 90nm, not 65nm.
Also the RTX 5090 is on 5nm, not 4nm. Doesn't take away from it taking longer, there being more steps though.
90nm fab back then cost ~$2.5b, not $1b (~$4.1b compensating for inflation)
Fab for the RTX 5090 isn't as you're trying to phrase it a x50 = $50b either. Not sure how you ended up there, I guess the 4 vs 5nm is part of it. IT's about $21.8b, so x5.3 (rather than x50).
The fabs back then are also much smaller compared to their more current counterparts processing far fewer wafers a month.
You're also ignoring the fact that 4nm design tools cost far more, and, despite the die size being only 50% larger, it contains 100X as many working parts -- all of which must be designed, validated, and tested by engineers.
Imo if you start getting that far into the nitty gritty, those design and validation tools have made massive headway since then greatly simplifying things.
Although for NVIDIA in particular they have been bragging for a long time that adding AI into every step of the workflow has greatly reduced costs/time needed. Dunno how much the RTX 5090 was affected by that but their latest claims:
What took "eight people about 10 months" is down to one GPU doing it overnight.
NVIDIA trained an internal LLM on decades of GPU design data, says Bill Dally NVIDIA is already using AI across several parts of its internal chip design
videocardz.com
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Anyway, way too far into the nitty gritty.
Point is, stuff has gotten expensive and as someone with limited means - I'm not a fan
I wasn't the target audience for the 8800 ultra, think back then I went from a Radeon 9800SE unlocked to 9800 Pro to NVIDIA 6600 GT to Radeon HD 4850. I'm not the target audience for the RTX 5090 either, at this point I'll likely be using my Radeon 6700 XT for many years to come still (bought 2nd hand at the end of the Ethereum farming boom). I'm a fan of bang-a-buck, hence my negative view on the current and future market.