High-bandwidth memory keeps powerful AI chips fed with data, and demand for it helped Boise, Idaho–based Micron briefly top ...

Korean chip startup XCENA raised $135M at a $570M valuation to solve the AI memory bottleneck. Learn how their CXL-based MX1 ...

For years, the PC industry has been stuck in a rut. Consumers stretched upgrade cycles from three years to five or more, ...

Don't let the most expensive component in your computer die without warning. Here is how to spot the hidden red flags of ...

Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for ...

The GPUs powering today's models carry limited high-bandwidth memory (HBM) before external memory is required—that's the memory wall, and at inference scale, every model hits it. As the industry ...

Most infrastructure decisions look fine on paper until real AI workloads begin running at scale. Then performance issues ...

Enterprises locked in GPU capacity during the AI scramble. Now utilization sits at 5% and the bill is due. Here's what the data says about where the market is heading.

Privacy-preserving AI workloads can make expensive GPUs look underused. CIOs should understand the bottleneck before ...

Information leaves memory, passes through a CPU for preprocessing, travels to a GPU for heavy computation, and then makes its ...

XCENA secures $135M Series B financing to drive growth, innovation, and deployment of advanced memory-centric computing ...