OrbitRoute orchestrates AI inference and training jobs across orbital GPU clusters and terrestrial cloud, optimizing for latency, cost, and availability in real-time.
No credit card required. 14-day Pro trial included.
Orbital GPUs deliver massive throughput on free solar power, but without intelligent orchestration, utilization stays low and costs stay high.
SGP4 orbital propagation using live TLE data. Precise position tracking of every orbital GPU, ground station visibility windows, and pre-scheduled job allocation.
Live weather monitoring at every ground station. Automatic switching between optical and RF uplinks based on atmospheric conditions to maximize bandwidth.
Every routing decision weighs latency, cost, queue depth, power availability, and ground station windows. Configurable weight profiles per workload type.
Orbital compute runs on free solar power. The routing engine targets 35% average cost savings vs. AWS, GCP, and Azure for GPU-intensive inference jobs.
One endpoint abstracts hybrid terrestrial and orbital infrastructure. Submit a job, receive optimal routing. No re-architecture of existing systems required.
Real-time visualization of orbital positions, ground stations, routing decisions, and cost savings. Built for infrastructure teams and executive stakeholders.
Production-ready API integration in under an hour.
POST your inference or training job to the /route endpoint with model specifications, latency requirements, and priority level. Standard REST API with full SDK support.
The routing engine evaluates orbital vs. terrestrial targets across 5 dimensions in real-time -- factoring live satellite positions, weather conditions, queue depth, and cost.
Get the routing decision with confidence score, cost comparison breakdown, and execution target. The job is dispatched automatically to the optimal compute node.
Start with a pilot. Scale to enterprise. All plans include a 14-day Pro trial.
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