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They are not able learn on chip - that is a non-starter and not particularly useful anyway. Customers dont want self-driving cars that need to learn how to driv
by p1esk 11y ago
They are not able learn on chip - that is a non-starter and not particularly useful anyway. Customers dont want self-driving cars that need to learn how to drive, they want self-driving cars that already know how to drive.
1. Learning does not have to happen inside a car. But it does have to happen somewhere, and that's where the learning in hardware will be much more efficient/faster than learning on a GPU.
2. There are scenarios where local learning would be necessary/preferable to remote learning (e.g. one shot learning or continuous online learning).
- Quanticles 11y agoWe 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.