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

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

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs ...

SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

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

Windows 11 is getting a major performance boost in 2026 with lower RAM usage, faster UI, better stability, and File Explorer ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

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.” [ ...