Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

A paper from Google could make local LLMs even easier to run.

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

Sandisk Corp.’s NAND thesis stays strong. Learn why the SNDK stock dip may be headline-driven and why it could retest highs.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

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 ...

Morgan Stanley maintains Overweight ratings on Micron and Sandisk after memory chip selloff, dismissing concerns over Google's TurboQuant technology.

Modern multicore systems demand sophisticated strategies to manage shared cache resources. As multiple cores execute diverse workloads concurrently, cache interference can lead to significant ...