New Google TurboQuant algorithm improves vector search speed

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

LZHV: Accelerating LZ77 Compression Algorithm with Hash Verification

Abstract: The longest match strategy in LZ77, a major bottleneck in the compression process, is accelerated in enhanced algorithms such as LZ4 and ZSTD by using a hash table. However, it may results ...
Morning Overview on MSN

Google’s TurboQuant claims 6x lower memory use for large AI models

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...
SDxCentral

TurboQuant: Did Google just drop a compression algorithm capable of stemming RAMageddon?

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

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

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