Google researcher @lauriewired explains how CXL could unlock the massive amount of compute sitting idle inside hyperscale data centers: "The real key comes down to when you're working in really hyper-specific fields, like high-frequency trading or game development. If you do not have these fundamentals in these hyper-specific areas, then you're going to have difficulty." "Debugging memory accesses could be data on a different system, swapped to disk, or refreshes with the memory controller causing unexpected delays. New hardware is really going to emphasize people's fundamentals here, because I'm gonna be talking over at CppCon and giving a keynote on C++ and heterogeneous memory architectures." "If you're sitting there on your computer, most of the time you're not using the majority of your compute. You have a lot of your machine sitting there idle. But put this on a really large scale hyperscalers or data centers. This wasted compute, if you multiply it over and over again, grows exponentially." "One technology I'm really excited about is CXL, Compute Express Link. Older versions was allowing you to just extend memory for a local device. But newer versions open this door to have shared memory pools that you can access between a ton of different hosts, and you can do this cache coherently." "It allows you to have read-only sections that are shared with quite low latency between multiple different hosts." @Google