Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not available yet, but it points to where AI efficiency is headed.
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab ...
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.
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