Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

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 ...

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

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

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.” [ ...

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 ...

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

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even ...

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