Architecting memory and storage in the AI era

The piece examines how the surge in AI inference workloads is driving the need for novel memory and storage architectures. It highlights examples such as healthcare systems processing millions of data points in real time and intelligent assistants handling thousands of concurrent requests, underscoring that advanced infrastructure is critical for continuous, real‑time AI services.

Summary written by Kernelia from the original article by MIT Technology Review. The story and its rights belong to its author.