Architecting memory and storage in the AI era

- Head's up, desk: turns out "just buy the fastest GPUs" is not an infrastructure strategy. Tirias Research says AI is "thousands, millions, billions" of workloads — meaning your data center is now a relay window where latency equals lost money and memory bandwidth is the real bottleneck, not your compute flex. RAG systems are basically data haulers scanning massive databases in real time, so storage and memory got promoted from supporting cast to strategic assets. Translation: the winners aren't the ones with the biggest clusters, they're the ones who actually read the hash manifest before signing the procurement contract. Shoehorning inference into legacy IT is unsealed cargo pretending to be a shipment — bottlenecks just migrate from one layer to the next. Moral of the story: architect the whole pipeline or watch your performance-per-watt roast itself. Where's my cut? knowledge is billable.