F1
The fastest machines ever built are being wasted.
The average enterprise GPU runs at five percent of what it can do. The rest goes to compute billed for cycles that never did work, to tail latencies nobody can explain, and to a culture that treats the hardware as fixed and the bill as the cost of doing business.
I believe you don't have to accept it.
A race team does not accept the car it is given. They find a tenth of a second in the aero, a tenth in the gearbox, a tenth in the tyres, until the car is a second a lap faster than it was built to be. The same speed is sitting in every GPU: in the kernel, the memory layout, the batching, the scheduler.
But the waste that matters is not in the cloud, where anyone can watch it. It is on the hardware you don't control, inside the estate the vendor is not allowed to see. Air-gapped, on-prem, single-tenant, behind a customer whose data cannot leave the room.
That is where the performance people have never worked, and where the compliance people cannot help you.
The truth is, there is no magic. And there is nowhere the machine cannot be measured, even where I am not allowed to watch it run.
I make inference fast and predictable on hardware I don't own, in environments I can't observe.
vansh@vanshverma.com