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

Google introduced an algorithm that it says improves memory usage in AI models. Whether that will actually eat into business for Micron and rivals is unclear. Micron's stock was down about 3% on ...

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

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

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.

Overview AI systems are accelerating targeting, shrinking decision timelines from days to minutes.Autonomous drones and cyber ...

Shares of memory and storage-related companies, including Micron Technology Inc MU and SanDisk Corp SNDK, are trading lower ...

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 ...

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

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

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