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.” [ ...

See Credo Technology Group Holding Ltd’s AI infrastructure upside: memory connectivity and high-bandwidth networking ...

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

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

Shares of memory chip makers fell Wednesday after Google unveiled a compression technology that could reduce memory requirements for artificial intelligence systems. Google's TurboQuant algorithm ...

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

Google has unveiled a new AI memory compression technology called TurboQuant, and the announcement has already had a ...

Google said TurboQuant is designed to improve how data is stored in key-value cache, which helps systems run more efficiently ...

Google, which has been at the forefront of artificial intelligence (AI) innovation, has presented a solution to the ongoing ...

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

According to foreign media reports, Google Research released the TurboQuant compression algorithm on Tuesday (24th), which ...