A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

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

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

Memory stocks declined Wednesday as investors reacted to Google’s announcement of TurboQuant, a new compression algorithm designed to reduce memory requirements for AI systems, even as the broader ...

Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...