If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

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 ...

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 ...

Tech companies have raced to build out compute capacity to fuel their AI ambitions but are now faced with a new bottleneck: memory capacity. The crunch comes as workloads shift from training models to ...

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 ...