Architecting memory and storage in the AI era

Explain Like I'm Normal

As AI moves from training to real-world inference, the bottleneck has shifted from raw compute to memory bandwidth and storage speed. This overview details how high-bandwidth memory and new storage architectures are required to handle the massive data throughput of real-time agents. For builders, it highlights why picking the right hardware stack is now just as critical as the model weights.