Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises moved from experimentation to production, that prediction quickly became ...

Forbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...

Before Adam Sharples became a molecular physiologist studying muscle memory, he played professional rugby. Over his years as an athlete, he noticed that he and his teammates seemed to return to form ...

The world needs a lot more memory chips and hard drives. The companies making those products have very good reasons not to rush the job. The boom-and-bust memory business has been enjoying its biggest ...

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 ...

NVIDIA introduces a novel approach to LLM memory using Test-Time Training (TTT-E2E), offering efficient long-context processing with reduced latency and loss, paving the way for future AI advancements ...

The world has a memory problem, thanks to artificial intelligence. The explosion in AI-related cloud computing and data centers has led to so much demand for certain types of memory chips that now ...

PCWorld reports that AI data center demand is driving a global memory chip shortage, causing RAM and NAND storage prices to spike by hundreds of percent. Major tech companies including Dell, Lenovo, ...