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 ...

Micron Technology and Sandisk stocks have been dented and TurboQuant could be one of the reasons.

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

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

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

Some investors panicked over a new Google AI compression algorithm.

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

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

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.” [ ...

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

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