One problem with the SETI model is that a lot of the increase in available compute capacity is due to specialized GPU or TPU processors, which aren't widely ava

One problem with the SETI model is that a lot of the increase in available compute capacity is due to specialized GPU or TPU processors, which aren't widely available outside of purpose-built data centers. Trying to offload ML workloads to general purpose CPUs would likely be quite wasteful in terms of power consumption unless you can somehow get access to graphics processors.