Last Friday, we published a report that the GTX 970 could suffer crippling performance slowdowns thanks to an asymmetric memory configuration. Here, we examine that issue in more detail -- and whether ...

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

If you've spent any time running local LLMs, you've probably hit the same wall I have. You find the perfect model quantized to 4-bits, just small enough to fit in your GPU's context window. You then ...

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 ...

A new attack, dubbed GPUBreach, can induce Rowhammer bit-flips on GPU GDDR6 memories to escalate privileges and lead to a full system compromise. GPUBreach was developed by a team of researchers at ...

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 ...

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 ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

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

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.

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