Artificial intelligence model compression startup Refiant AI said today it has raised $5 million in seed funding from VoLo Earth Ventures to try to put an end to the “arms race” that has ignited a ...

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

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

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

With TurboQuant, Google promises 'massive compression for large language models.' ...

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “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 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...