How many KitKats to run your AI?
Last week, 12T of KitKat products disappeared somewhere between Italy and Poland. Following a thorough internal investigation, we have reason to believe our Deepnote Agent was responsible.
In its defense, AI is an energy-intensive process, and 413,793 KitKat bars amount to fewer than one bar per Deepnote user.
To take full accountability, your AI usage in Deepnote is now measured and visible to your workspace admins. Both in KitKat bars, and USD ($).
To view the usage, head to Settings → AI.
You’ll find a new subsection detailing feature usage, models called (remember, you can always bring your own custom model if you’re on our enterprise tiers), and how much the run costs you. Alongside these, you’ll find the new metric: KitKats consumed. The conversion is based on actual energy-per-token estimates for each model, mapped to the caloric content of a standard 4-finger KitKat bar (210 kcal, or 878,640 joules).
A single Deepnote Agent session burns roughly 1/50th of a KitKat. Across 500,000 users, it adds up. A more detailed breakdown:
| Energy | KitKat equivalent | |
|---|---|---|
| 1 KitKat bar | 912 kJ | 1.0 |
| 1 simple AI query | ~1 kJ | ~0.001 |
| 1 agent session (20K tokens) | ~20 kJ | ~0.02 |
| 1 heavy agent session (100K tokens) | ~100 kJ | ~0.11 |
For folks who care about the dollar equivalent, we offer a separate measure:
On another note, we believe that AI energy consumption deserves more visibility, and that the best unit of measurement is one everyone understands. It’s a KitKat.
Take a break and review your org’s AI usage in your workspace’s AI settings.