The expansion of AI in the latest application spaces is creating problems at the board and chip level, as over 90% of the power consumption in AI workloads is from the movement of data. The ability to shorten data paths by moving the compute element closer to where the data is stored can reduce power consumption significantly.

This would also enable an unprecedented increase in compute density. In this podcast we talk to Robert Beachler, Vice President of Product at Untether AI, a company launched with the goal of addressing the major compute and efficiency bottleneck, memory access and data management.