Inference costs per invocation aren’t high. Scale it out to billions of users and it’s a different story. Training is amortized over each inference, so the cos

Inference costs per invocation aren’t high. Scale it out to billions of users and it’s a different story. Training is amortized over each inference, so the cost of inference also needs to include the cost of training to break even unless made up elsewhere