Arm is partnering with MIT Technology Review to highlight the challenges of managing system complexity in ensuring current architectures can adapt to future needs in the AI space.
As AI makes the move to inference at the edge, organisations must adopt a heterogeneous compute approach to decide which hardware is best suited to which purposes.
While this can balance latency, security and energy efficiency, there are downsides in terms of complexity that need to be considered.
To prepare for the future of distributed AI, heterogeneous compute offers a reliable, efficient and secure approach, but trade-offs between cloud and edge computing must be carefully considered on a case-by-case basis.
MIT Technology Review’s full report can be accessed here.