A console where a product team launches its AI model by choosing a clear speed ↔ cost balance instead of GPUs and settings.
To run an LLM in production you have to choose hardware, batching and quantization, and keep an eye on latency. These decisions drive the bill directly, yet only specialists understand them.
The idea of the concept is to translate technical parameters into business language: one slider between speed and price, with a live estimate of what each choice means.
Wants control and numbers: p50/p95 latency, GPU utilization, model versions. Can’t stand “magic” without explanations.
Needs to test an idea fast: plug the model into the product and see what it will cost on real traffic.
They look at the bill and the savings. They need one number and its trend, not latency charts.
From the catalog, or your own from a private registry
A speed ↔ cost slider; the hardware is chosen automatically
A ready OpenAI-compatible endpoint and code to paste
Traffic, latency, GPUs and cost in real time
Technical parameters are still there, but the headline number is the one that ends up on the bill.
A red dashed line shows what running the model “as is” would cost. The value of the service speaks for itself.
An OpenAI-compatible snippet right in the wizard: copy, paste, and it’s already running in your product.
The green from the identity became the color of “running and saving”, the dark theme reduces eye strain in long sessions, and the monospace font keeps numbers aligned in columns.
Evgenii Leonov