A paper from Google could make local LLMs even easier to run.
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...
This is really where TurboQuant's innovations lie. Google claims that it can achieve quality similar to BF16 using just 3.5 ...
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
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 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 ...
The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...