How do you track which specific feature or user in your app is driving the most "Token Spend"?

How does reducing the precision of model weights from 16-bit to 4-bit impact your infrastructure costs?

If you have 100 different customers, each with a custom-tuned LoRA adapter, do you need 100 different GPU clusters? How would you serve them efficiently on one cluster?

In a high-concurrency environment, how does PagedAttention prevent the GPU from running out of memory (OOM) when multiple users are chatting simultaneously?