The environmental case
Better than a data center, by design.
The greenest data center is the one you never had to build. Every result Warppool returns is scientific compute that didn't require pouring concrete, manufacturing new servers, or evaporating cooling water — because it runs on hundreds of millions of GPUs that already exist, already powered on, already cooled by their own fans. A data center does a unit of work by adding new demand to the world. Warppool does the same unit on hardware the world already built.
Cooling water
≈ 0 liters
Personal devices are air-cooled by fans that are already spinning. A single hyperscale data center can evaporate millions of gallons of water a day; cloud compute consumes roughly 1.8–2 liters of water per kWh directly — and several times that once you count the water used to generate the electricity. Warppool adds none.
Energy overhead
~1.0 PUE
Data centers spend an extra 10–50% of their electricity just on cooling and power conversion (a PUE of 1.1–1.5). Warppool's compute piggybacks on hardware that's already running and already cooled, so almost every watt goes to the actual science instead of to overhead.
New hardware built
None
A large share of computing's lifetime carbon is embodied — locked into manufacturing the chips, racks, and buildings before a single calculation runs. Warppool manufactures nothing. It reuses devices already made for everyday use, so the embodied carbon of its "fleet" is effectively zero.
Added draw per device
A few watts
At idle priority a contributing device sips only the marginal watts above what it was already using — no new grid load for a new building, no diesel backup generators, no land cleared, no transformers, no fleet of trucks hauling water.
The comparison in one line. To do a unit of compute, a data center adds new buildings, new servers, megawatts of new demand, and millions of gallons of cooling water. Warppool does the same unit on silicon the world already built and already powers — turning idle GPUs and waste heat into climate models and protein research instead. Figures above are industry-typical ranges; real numbers vary by facility, workload, and region.