R9700 has 32GB and is cheaper than most NVidia consumer GPUs, even though it's a "pro".
5090 has 1.8 TB/s?
5090s are certainly expensive compared to most other GPUs, but not expensive enough to be unobtanium for nearly any professional who could utilize one as part of their job
Even a RTX 5080 has a lower memory throughput than a Radeon VII from 2019, 7 years ago, while being much more expensive.
The memory throughput of GPUs per dollar has regressed greatly during the last 5 years, despite the fact that the widths of the GPU memory interfaces have been reduced, in order to decrease the production costs.
RTX 5080 has a 256-bit memory interface, while the much cheaper Radeon VII had an 1024-bit memory interface. RTX 5080 has almost 4-times faster memories than Radeon VII, but it has not used this to increase the memory throughput, but only to reduce the production costs, while simultaneously increasing the product price.
And it's faster for gaming, I guess? Which is what matters for the typical user.
Anyway you can buy much faster GPUs now than in 2019. They are also much more expensive, yes.
I suppose that most games are limited by computation, so they are indeed much faster on modern GPUs.
However, there are applications that are limited by memory throughput, not by computation, including AI inference and many scientific/technical computing applications.
For such applications, old GPUs with higher memory throughput are still faster.
This is why I am still using an old Radeon VII and a couple of other ancient AMD GPUs with high memory throughput.
Last year I have bought an Intel GPU, which is still slower than my old GPUs, but it at least had very good performance per dollar, competitive with that of the old GPUs, because it was very cheap, while the current AMD and especially NVIDIA GPUs have poor performance per dollar.
That's correct if you're targeting gamers, but local AI inference changes this picture substantially.
Heck, I have a phone with a 16bit memory bus for instance. The high(ish) clock rate only makes up the difference slightly.
But with general prices on all components going up, it might not be such a big factor any more.
HBM migght make sense for higher end products which can free up space for the lower end that will never use the tech.
Designing a part with a wide bus and putting the traces down on the board is what I would expect to be the easy part these days (surely).
But yield, yield comes for us all.
AMD Hawaii GPUs still had 1:2 FP64:FP32, while the consumer variant of Radeon VII dropped to 1:4. The following AMD consumer GPUs dropped the FP64 performance to levels that are not competitive with CPUs.
Nowadays the only consumer GPUs with decent FP64 performance are the Intel Battlemage GPUs, which have a 1:8 performance ratio, which provides very good performance per dollar.
Reason number 7,322 why US-style ultracapitalism is self-destructive, anti-social, and dystopian.
because the gods want it all and are willing to pay top dollar.
I wonder whether this is some kind of a racket.
No.
The GB202 die that's in the GDDR7 based RTX 5090 and RTX 6000 Pro literally needed to be this big to support the 512bit memory bus. It's probably only getting worse with smaller node sizes. (see https://www.youtube.com/watch?v=rCwgAGG2sZQ&t=65s).
BTW: The 1TB/s is matched by RTX4090 and surpassed by the RTX5090 (1,79 TB/s).
I'd absolutely buy another hbm consumer GPU if it had at least 8gb (and if I got the vibe/hope AMD will actually support for a couple years...)
If they could make this stuff and sell it to regular people a decade ago for very palatable prices, why do they come up with the idea that this is the technology of the gods, unaffordable by mere mortals?