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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 inference
  • ai_training — ML model training
  • data_processing — General data processing
  • edge_compute — Edge computing workloads
  • storage — 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-pacific

Response

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