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.

Recent psychological research reveals that certain forms of strong memory can make people more prone to distortion, anxiety, and poor decisions, all while making them feel smarter and more accurate ...

Langsmart, the enterprise AI governance company, today announced the successful completion of a rigorous enterprise evaluation with a Fortune 200 financial institution. The testing confirms that ...

The SSD that cosplayed as RAM—the bizarre reality of the DIMM SSD ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

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 ...

The AI hardware boom is sending memory prices sky-high, so knowing exactly how much you need is more critical than ever. I've worked out the most realistic RAM goals for every type of PC. I’ve been a ...

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 ...

Abstract: Memory latency, density, and power efficiency are key bottlenecks in a variety of computing systems, and the need for efficient and dense memory solutions is exacerbated by the continued ...

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 ...

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 ...