Energy-aware orchestration
Sarv schedules work when power is cheaper, cleaner, and locally available. Energy isn't the product — it's the intelligence underneath everything the Grid does, improving the economics and the footprint of every job.
How scheduling works
Delay-tolerant compute has a superpower: it can wait. The Grid's scheduler reads live signals from every Vault and from the energy system, then places work where it costs least — in money and in carbon.
Agile tariffs swing through the day. Work runs when electricity is cheapest — sometimes nearly free overnight.
Grid carbon intensity varies hour to hour. The scheduler prefers low-carbon windows automatically.
Vaults with solar or home batteries run jobs on their own clean power first — compute behind the meter.
A network that can pause or ramp thousands of small loads is, at scale, a flexible asset the energy system values.
What a Vault sees
Every Vault understands its own energy context — generation, storage, carbon, price — and the owner can see exactly when and why it works. Nothing about your Vault's schedule is a black box.
Illustrative example of a live Vault readout:
| Energy signal | Example* |
|---|---|
| Solar generation | High |
| Battery | 73% |
| Grid carbon | Low |
| Price | 8.4p / kWh |
| Scheduler decision | RUN |
* Illustrative. The pilot measures real electricity cost per job — one of the numbers that decides whether the Grid's economics work. See the experiment →
Why it matters
We're careful not to overclaim: a distributed network is not automatically greener — inefficient devices could make it worse. That's precisely why energy-aware orchestration sits at the core of the design, and why true electricity cost per job is a pilot measurement, not an assumption.
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