Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

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

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

Google’s new AI memory compression algorithm sent memory chip stocks sliding this week, raising concerns over potential ...

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of ...

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

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. Shares of major memory and storage ...

Micron's shares are down after a new algorithm from Google spurred fears that memory demand could slow.

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.” [ ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...