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

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

Google’s newly released “Turbo Quant” paper has become a hot topic in the semiconductor industry. This algorithm maximizes AI ...

Trail ...

Researchers at Argonne National Laboratory and SLAC have designed a detector chip that compresses X-ray data by factors of ...

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

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

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

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

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

Broadcom is padding post-quantum security with its Emulex SecureHBA adapters now integrated into Everpure’s FlashArray ...

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