The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most often arises not from flawed components, but from misalignment between a ...

If you had put all your savings into a few pallets of computer memory chips a year ago, you’d have at least doubled your money by now. And prices are projected to continue their meteoric rise.

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 ...

For this week’s Ask An SEO, a reader asked: “Is there any difference between how AI systems handle JavaScript-rendered or interactively hidden content compared to traditional Google indexing? What ...

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 ...

Micron said on Wednesday that it plans to stop selling memory to consumers to focus on providing enough memory for high-powered AI chips. "Micron has made the difficult decision to exit the Crucial ...

On Wednesday, Micron Technology announced it will exit the consumer RAM business in 2026, ending 29 years of selling RAM and SSDs to PC builders and enthusiasts under the Crucial brand. The company ...

Memory shortage could delay AI projects, productivity gains SK Hynix predicts memory shortage to last through late 2027 Smartphone makers warn of price rises due to soaring memory costs Dec 3 (Reuters ...

Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...