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.

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Korean chip startup XCENA raised $135M at a $570M valuation to solve the AI memory bottleneck. Learn how their CXL-based MX1 chip changes AI infrastructure in 2026.

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 ...

If you've ever watched your games or rendering processes struggle to run out of nowhere, despite Task Manager telling you your GPU is well below max capacity, you've been lied to. Windows Task Manager ...

Nvidia CEO Jensen Huang recently declared that artificial intelligence (AI) is in its third wave, moving from perception and generation to reasoning. With the rise of agentic AI, now powered by ...

Training AI demands raw GPU compute. Inference demands something else entirely: memory. The GPUs powering today's models carry limited high-bandwidth memory (HBM) before external memory is ...