* Quadro RTX 8000 with 48GB memory: $10,000 estimated street price
* Quadro RTX 6000 with 24GB memory: $6,300 ESP
* Quadro RTX 5000 with 16GB memory: $2,300 ESP
[1] https://nvidianews.nvidia.com/news/nvidia-unveils-quadro-rtx...
It looks like their entire website is a huge legacy mess.
"news.nvidia.com" leads nowhere.
"nvidia.com/news/" leads to "nvidia.com/content/redirects/news.asp" and produces "Corrupted Content Error"
The page you are trying to view cannot be shown because an error in the data transmission was detected.
Is this just routine new cycle stuff that amazon and microsoft are going to buy en masse like they already would have no matter what Nvidia came out with?
Or is this a big deal for reasons that you will explain and the stock market is going to go wild attempting to "price this in"?
For reference, I purchased my first 3D card from Evan's and Sutherland to run Softimage with 32MB Ram in ~1996 for $1,800.
But the amount of actual capability one gets from one of these cards is thousands of times more than what one could do in 1996.
YES! I was at intel when they were doing the initial research to even see if a <$1,000 machine was feasible. With the celeron... and this is when they were literally paying millions to companies to optimize to the intel processors so they had software that would be subjectively digestible by the market to purchase software and machines thinking that they were getting compute power for their buck.
/lawn.
I won an AT&T Safari NSX/20 laptop [1] in 1992 in the ACM Programming Competition. RRP was $5749 then, for a 386SX processor running at 20MHz, 4MB RAM and a monochrome screen. $10,200 in today's money. It was actually a beautifully made machine.
A year later, I switched to a Dell with 386DX and a 387 math coprocessor because my PhD needed the number crunching. That cost twice as much (i.e. around $20k in today's money), paid by the military lab sponsoring my research.
In our current times of cheap compute, it is easy to forget how much top-end computers cost 25-30 years ago.
[1] https://books.google.co.uk/books?id=AoKUhNoOys4C&lpg=PP142&o...
I sometimes laugh to myself when people complain about the price of GPUs. Yes, $10,000 is a lot, but in historical context, it's pretty reasonable for top of the line technology.
The same thing has happened with RAM and storage. My first Linux PC had 20 MB of RAM and 80 MB of disk and was sufficient to do most of my CS projects at university in the early-mid 1990s. Now, a sub $200 smartphone has over 100x the space, while desktops are commonly 2000x.
The research side not only moved on 1000x to "petascale" but that's now boring and there is real talk of "exascale" with the same gleam in the eye. One million times the performance we dreamed of at the beginning of my career, though I think this is partly by expanding the scope of one machine to larger and larger distributed systems as well as scaling up the capacity of individual elements.
Previously those cards have been the ~$8k-$10k P100 or V100. Not any more.