Conventional DNN inference accelerators are designed with a few (up to four) large systolic arrays. As such a scale-up architecture often suffers from low utilization. a scale-out architecture. in which a single accelerator has tens of pods and each pod has a small systolic array. https://poolsproductscanadas.shop/product-category/pro-series-filter-parts/