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

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

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

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.” [ ...

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

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

TurboQuant is part of Google’s efforts to create an algorithm capable of reducing the memory footprint of AI systems by ...

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

Google announced a major quantum breakthrough using its Willow chip and the Quantum Echoes algorithm. The new method performed a complex physics task 13,000 times faster than the world’s fastest ...

Google claims to have developed a quantum computer algorithm that is 13,000 times faster than the most powerful supercomputers. This would bring the technology another step closer to real-world ...