Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

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), ...

This morning, shares of two of the largest computer memory companies that trade on U.S. markets are up yet again. The stock prices of Micron Technology, Inc. (Nasdaq: MU) and Sandisk Corporation ...

Processors Best CPU for gaming in 2026: These are the chips I recommend for gaming, productivity, and peace of mind Processors Qualcomm's new Snapdragon X2 Arm CPU pops up in Geekbench and wallops the ...

In an effort to work faster, our devices store data from things we access often so they don’t have to work as hard to load that information. This data is stored in the cache. Instead of loading every ...

Say you’ve been tasked with memorizing the U.S. presidents in order. Your mind turns to an unlikely place: your childhood bedroom. A beloved stuffed bear sits on a bookshelf—its tiny shirt sports the ...

AMD recently published a new patent that reveals that the company is working on making its 3D V-cache tech even better. Back in early 2021, we started hearing the first whispers and murmurs of a new ...

A massive international brain study has revealed that memory decline with age isn’t driven by a single brain region or gene, but by widespread structural changes across the brain that build up over ...

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 ...