Tom's Hardware on MSN

Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times

The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

How to clear your Windows 11 PC cache (and why you shouldn't wait to do it)

Also: Hate Windows 11? You're gonna hate Windows 12 even more. Windows has a few helpful utilities that can free up some ...

Nvidia says it can shrink LLM memory 20x without changing model weights

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

Cache Performance and Memory Hierarchy Optimization

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 ...