A paper from Google could make local LLMs even easier to run.

Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can ...