Infrastructure potential calculator
Calculate your Physical AI Infrastructure potential.
Estimate the distributed storage, edge compute, grid flexibility and AI inference capacity that already exist within a fleet, charging network or city. Every output shows its formula and the source for its underlying assumption.
Inputs
18%
Time vehicles are actively driving. The rest is addressable for storage & compute.
TOPS means trillions of operations per second. This is a comparative modelling input, not detected or guaranteed compute available from a vehicle.
Scenario estimate. Results use fixed assumptions and are directional indicators, not operational forecasts. Actual performance depends on vehicle availability, hardware access, network conditions, regulation, charging infrastructure, and deployment constraints.
Available distributed storage
369.0 MWh
vehicles × kWh × (1 − utilization) × V2G availability
V2G availability factor = 0.6. Only a fraction of idle vehicles are simultaneously plugged in and dispatchable.
Source: Lund & Kempton, 2008; ENTSO-E V2G integration studies
Edge compute capacity
2.0 kPFLOPS (FP16)
vehicles × TOPS/vehicle × 2 (INT8→FP16)
Per-vehicle TOPS comes from the selected modelling assumption. Total raw: 1000.0 TTOPS.
Source: NVIDIA DRIVE / Tesla HW datasheets
Grid flexibility
52.5 MW
chargers × kW × bidirectional duty
Bidirectional duty = 0.7. This is the fraction of nameplate effectively usable for V2G after scheduling and SoC constraints.
Source: IEA Global EV Outlook 2024; Fraunhofer ISE
AI inference throughput
35.00 tok/s
total TOPS × 35 tok/s/TOPS
The 35 tok/s/TOPS factor is a benchmark conversion used for comparative scenario modelling, not a prediction or guarantee of real-world throughput. Reference workload: Llama-3-8B INT8, batched and network-distributed.
Source: Llama.cpp + TensorRT benchmarks, 2024
Annual CO₂-eq offset vs equivalent datacenter energy
31.0 ktCO₂e / yr
distributed_storage × 365 cycles × EU grid intensity
EU-27 grid intensity = 0.23 kgCO₂/kWh. Indicative, assumes daily cycling.
Source: EEA EU-27 grid carbon intensity, 2023
Save scenario
Your email identifies the saved record. Saving does not send an email.