The rapid construction of AI infrastructure is causing a shortage in high bandwidth memory. Tom Mainelli, vice president of ...

The artificial intelligence buildout is quietly rewriting the semiconductor pecking order, shifting pricing power from headline-grabbing compute chips to the memory and storage that feed them. As ...

AI has turned computer memory from a cheap commodity into the hottest ticket in the chip world, and the shelves are starting to look bare. As data centers race to feed ever larger models, the supply ...

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

The evolution of DDR5 and DDR6 represents a inflexion point in AI system architecture, delivering enhanced memory bandwidth, lower latency, and greater scalability.

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 ...

In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...

Shares in this computer memory giant are trading for a rock-bottom valuation despite solid growth.

Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.

The next frontier for artificial intelligence is at the edge. This is a different place from the frontier of the recent past. By now, we’ve all grown used to sending data to the cloud to query a voice ...