That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

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, ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

With TurboQuant, Google promises 'massive compression for large language models.' ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

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

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

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

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