Alphabet is now ~17% off its high, as investors are worried about its CapEx spending. Click here to find out why GOOGL is a ...

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

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 ...

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 ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

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