Personally, this will be good for me because everything I do is bandwidth-starved.
I'm not a radar scientist but I am a systems engineer supporting radar scientists working on air- and space-based Synthetic Aperture Radar (SAR) systems. We use GPUs, FPGAs, and other accelerators to generate images from SAR data.
Here's an "old and busted" image made from SAR data: https://hackadaycom.files.wordpress.com/2014/02/image-from-s...
In 2002, it took more than 24 hours to generate a single low-resolution picture from low-bandwidth SAR data on a $1.5 million Sunfire 15K cluster with 70-ish SPARC CPUs. Today, on a single 3U server with two Xeons and four Tesla V100s it takes about 15 seconds-- and that's an extremely high resolution image from very high data rate SAR data.
But our goal is real-time VIDEO from SAR data, so everything needs to be faster. Network speeds need to be faster, CPUs need to be faster, GPUs need to be faster and we need more of them, storage needs to be faster, everything needs to be faster.
I could see a 3/4U box with 16+ 16x PCIe slots each stuffed with a 1-slot GPU with an NVMe (4x PCIe lanes each!) storage array and a couple of 100GBe dual-port NICs blasting through SAR data like a hungry hungry hippo.
As far as PCIe lanes go, if I have a 24-drive NVMe array that's 96 PCIe lanes all by itself.