Abstract: The rapid advancement in semiconductor technology has led to a significant gap between the processing capabilities of CPUs and the access speeds of memory, presenting a formidable challenge ...

Abstract: Cache memory has been introduced to accelerate embedded system performance and is automatically managed without programmer intervention through hardware-based cache controllers. However, ...

As a clear sign of how desperate these RAMpocalypse times are becoming, we have [PortalRunner] over on YouTube contemplating how to run modern-day software on a PC that has no sticks of that most ...

TL;DR: Google developed three AI compression algorithms-TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss-that reduce large language models' KV cache memory by at least six times without ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Memory-augmented Large Language Models (LLMs) have demonstrated remarkable capability for complex and long-horizon embodied planning. By keeping track of past experiences and environmental states, ...

We often treat memory like a mental hard drive, assuming that the better we remember details, the better we’re doing in life. We praise people who can ace trivia, recall minute details from decades ...

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 ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

A landmark international study that pooled brain scans and memory tests from thousands of adults has shed new light on how structural brain changes are tied to memory decline as people age. The ...