Building AI Infrastructure For Greater Choice And Flexibility

AI infrastructure is changing fast. Training and inference are putting different demands on compute, memory, connectivity, and networking, and there is no single architecture that fits every workload. For system architects, this opens up an important question: How much flexibility can be built into the system from the start? The answer increasingly involves giving designers more choices across memory, compute, connectivity, and packaging, while making sure those technologies work together. Diffe