Google’s AI surprise puts Micron and Sandisk in focus.

What Google's TurboQuant can and can't do for AI's spiraling cost ...

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

Learn why Google’s TurboQuant may mark a major shift in search, from indexing speed to AI-driven relevance and content discovery.

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

Google has unveiled a new AI memory compression technology called TurboQuant, and the announcement has already had a ...

Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications SAN FRANCISCO, July 30, ...

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

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