Coming this fall. Google will offer small, portable versions of its custom machine learning chips, embedded in boards or USB devices. “The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing for low-power devices. For example, it can concurrently execute multiple state-of-the-art vision models on high-res video at 30+ fps, in a power efficient manner.” Here is what Benedict Evans from Andreessen Horowitz wrote about it: “Edge ML: embeddable in points of sale, kiosks or industrial machinery of all kinds, recognizing things that previously needed a mammal brain. Coming soon to Pixel phones, I suspect (note that the newest iPhones have dedicated ML silicon).”