Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...
Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled ...
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.
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...
Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...