Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

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

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

Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not ...

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

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

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

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

According to foreign media reports, Google Research released the TurboQuant compression algorithm on Tuesday (24th), which ...

The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.