So, we're roughly at the point this year where you don't have to physically concentrate everything in one place for inference — especially at the scale we just talked about, raising your own lobster, roughly 70 billion, maybe a few hundred billion parameters, not trillion-parameter models — through this distributed approach, fine-tuning and inference are both very easy. Pre-training is still early, but it's catching up.