For context, my understanding is that companies have recently moved to mark their expected GPU deprecation cycles from 3 years to as high as 6 which has huge impacts on projected expenditures.
I wonder what the step was for the Blackwell platform from the previous. Is this slower which might indicate that the slower deprecation cycle is warranted, or faster?
Also: Tim Cook / Apple is noticeably absent.
As a software guy who follows chip evolution more at a macro level like: new design + process node enabling better cores/tiles/units/clocks + new architecture enabling better caches, busses, I/O == better IPC, bandwidth, latency and throughput at given budget (cost, watts, heat, space) - I've yet to find anything which gives a sense of Rubin's likely lift vs the prior generation that's grounded in macro-but-concrete specs (such as cores, tiles, units, clocks, caches, busses, IPC, bandwidth, latency, throughput).
Edit: I found something a bit closer after scrolling down on a sub-link from the page you linked (https://developer.nvidia.com/blog/inside-the-nvidia-rubin-pl...).
So it's an all-NVidia solution - CPU, interconnects, AI GPUs.
Technical details available here https://developer.nvidia.com/blog/inside-the-nvidia-rubin-pl...
I know that memory bandwidth tends to be a big limiting factor, but I'm trying to understand how this factors into it its overall perf, compared to blackwell.
