Translation: you don’t need to serve 96 layer transformers for ranking and recommendation. You’re probably using a neural net with around 10-20 million parameters. But it needs to be fast and highly parallelizable, and perhaps perform well in lower precisions like f16. And it would be great to have a very large vector LUT on the same chip.