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

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

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

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

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

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Google released its TurboQuant AI memory compression algorithm, which is designed to reduce the memory requirements of large ...

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

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

Meanwhile, the company is also at the forefront of custom AI chips with its tensor processing units (TPUs). It developed ...