We build solar-powered satellites that run AI inference beyond terrestrial power, land, and water limits.
Infernode Labs designs spacecraft that function as distributed AI compute nodes. Each satellite carries its own solar arrays and rejects heat by radiating into space, so the payload can run inference workloads without drawing on a ground grid.
Workloads are split across independent satellites rather than one tightly coupled ground cluster. That architecture fits AI inference, which can run node by node instead of requiring a single synchronized training fabric.
The goal is commercial AI compute infrastructure in space for organizations that need capacity the terrestrial grid cannot reasonably supply.
A first hosted GPU demonstration flight is planned within about two years to validate GPU operation, radiation tolerance, thermal performance, and data downlink in space. A first purpose-built compute satellite is planned to follow. Production satellites are being designed for high tens of kilowatts of compute power per spacecraft, with a longer-term vision of a distributed constellation.
Each spacecraft generates its own power from continuous sunlight, reducing dependence on terrestrial electricity and permitting timelines.
Heat is rejected passively into space, avoiding the water and site constraints that limit ground data centers.
AI inference workloads can be partitioned across many independent satellites instead of one tightly coupled cluster.
Systems are engineered for radiation, thermal performance, and data downlink under flight conditions.
A hosted GPU demonstration flight is planned within about two years; a purpose-built satellite is planned to follow. Commercial inference is not flying yet.
Build commercial AI compute infrastructure in space so inference workloads can scale without drawing on terrestrial electricity, land, or water.
Move data-center growth off constrained ground grids by using continuous solar power and passive radiative cooling.