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

Micron (MU) looked infallible just days ago, until Alphabet (GOOGL) broke the news that memory may no longer be in extreme ...

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

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

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

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.

A sharp selloff in memory names following the debut of Google’s TurboQuant technology is creating an opportunity for investors, according to Bank of America.

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 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 ...

If you're having PC memory issues, you might assume clearing your RAM's cache might sound like it'll make your PC run faster. But be careful, because it can actually slow it down and is unlikely to ...