Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

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

Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...

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