Feasibility Analysis
Determine whether your workload is suitable for orbital deployment and get recommendations for optimal configuration.Status: Early Access — Request API key
Overview
Feasibility analysis evaluates:- Technical viability — Can this workload run in space?
- Optimal orbit — Which orbital regime best fits your requirements?
- Cost estimation — What will deployment and operation cost?
- Risk assessment — What are the key challenges?
Quick Start
Parameters
Required
string
required
Type of workload. Options:
ai_inference— ML model inferenceai_training— ML model trainingdata_processing— General data processingedge_compute— Edge computing workloadsstorage— Data storage and retrieval
number
required
Required compute capacity in TFLOPS (FP16 equivalent)
Optional
number
Required storage in terabytes
number
Required bandwidth to/from ground in Gbps
number
Maximum acceptable latency in milliseconds
number
Required availability (e.g., 0.999 for 99.9%)
string
Geographic region for ground connectivity. Options:
global, north-america, europe, asia-pacificResponse
Workload Types
AI Inference
Best for models that need low-latency inference close to data sources.AI Training
For training models on orbital data (e.g., Earth observation).Data Processing
General-purpose compute for data transformation and analysis.Cost Factors
Next Steps
Thermal Simulation
Model heat management for your configuration
Latency Simulation
Detailed latency modeling for your use case

