They are, but training models is hard and inference (actually using them) is (relatively) cheap. If you make a a GPT-3 size model you don't always need the full H100 with 80+ gb to run it when things like quantization show that you can get 99% of its performance at >1/4 the size.

Thus NVIDIA selling this at 3k as an 'AI' card, even though it wont be as fast. If they need top speed for inference though, yea, H100 is still the way they would go.

That's the thing, companies (especially startups) have seen the price difference and many have elected to buy up consumer-grade cards.

I'm not an expert just parroting info from Jayz2cents (YouTuber), but the big AI groups are using $10,000 cards for their stuff. Individuals or smaller companies are taking/going to take what's left with GPUs to do their own development. This could mean another GPU shortage like the mining shortage andi would assume another bust would result in a flooded used market when it happens. Could be wrong, but he's been correct pretty consistently with his predictions of other computer related stuff. Although, 10K is a little bit less than your fully loaded SUV example.