Field notes / GPU Cloud
Notes from the control plane.
Short arguments about running accelerators responsibly: capacity, spend, model policy, and the small decisions that keep systems dependable.
The hidden cost of an unbounded GPU job
A practical argument for putting a maximum charge next to every launch button.
Capacity is a product surface
Why a list of GPUs is not enough when the decision is production-shaped.
Licenses belong next to the model
Serving policy is infrastructure policy when an endpoint can become a product overnight.