
The physical architecture of modern computing is currently being pushed to its breaking point as high-performance artificial intelligence models demand memory speeds and capacities that traditional hardware was never designed to provide. While the industry has celebrated the exponential growth of Large Language Models, a silent crisis has emerged: the “memory wall” is preventing these neural networks from reaching their










