Morning Overview on MSN

Google says TurboQuant cuts LLM KV-cache memory use 6x, boosts speed

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

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 ...
DIGITIMES

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...

Google develops TurboQuant compression technology for AI models

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

Google AI breakthrough shows why we don't need more data centers

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when ...

Google’s TurboQuant algorithm aims to slash AI memory usage.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...
Tech Xplore on MSN

Holographic storage approach packs more data into the same space by encoding three properties of light

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...