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.

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 ...

There's a RAM shortage at the moment. RAM, as in random access memory. The memory computer keeps immediately at hand, so it can perform tasks quickly. How can that be? Well, as with so much these days ...

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), ...

Rohan Naahar is a Weekend News Writer for Collider. From Francois Ozon to David Fincher, he'll watch anything once. He has covered everything from Marvel to the Oscars, and Marvel at the Oscars. He ...

It’s boom times for meal-replacement products that cater to the overwhelmed (and wellness-obsessed) millennial. But Soylent they are not. Aspirationally branded meal replacements — like salads you can ...

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 ...

Memory chips are a key component of artificial intelligence data centers. The boom in AI data center construction has caused a shortage of semiconductors, which are also crucial for electronics like ...

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 ...