We do the learning on GPU and efficiency is not a concern because the learning result goes out as a firmware update. Let's say it takes 2 weeks to train a neura

We do the learning on GPU and efficiency is not a concern because the learning result goes out as a firmware update. Let's say it takes 2 weeks to train a neural network - the customer never sees that, they just get the firmware update. Similarly, we can use a lot of GPUs to train one network because that training result goes out to many chips.