As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...

This year, there won't be enough memory to meet worldwide demand because powerful AI chips made by the likes of Nvidia, AMD and Google need so much of it. Prices for computer memory, or RAM, are ...