Demo

Sample workflow.

Interactive demo

Orbital Workload Planner

Adjust mission parameters—outputs update instantly. Commit to persist a snapshot in the compute console.

Orbital workload planner

Define the edge layer before it hits the ground

Tune bus class, sensors, and link budget—SpaceCompute Cloud simulates orbital compute, downlink pressure, and promotion policy.

Downlink reduction

79%

~1.6 TB/day edge-filtered vs raw 2.0 TB/day

S-bandmeter

Bottleneck score

100/100

Post-filter egress

~13 TB/mo

Orbital compute plan

  • Stage Object Detection on SmallSat Bus with 32 TOPS budget.
  • Target 79% downlink reduction vs raw 2.0 TB/day sensor-adjacent load.
  • Align scheduler to Balanced priorities with seconds latency class.
  • Reserve 0.45 TB/day link-shaped egress after edge filtering.
Tier · Mission OpsSC-Edge Compact

Workload routing graph

util 67%
decode + normalize63.45%Object Detection71.75%prioritized frames56.8%OPLEPODO

Inference schedule

  • T1Burst inference after each capture sequence with thermal cooldown gaps.
  • T2Policy router elevates tier-1 events ahead of calibration batches.
  • T3Eclipse-side batch compaction for low-priority archive streams.
Jobs/day ~3,400 · Avg onboard latency 275 ms

Model deployment timeline

  1. Artifact ingest

    complete

    12 min window · stage 1

  2. Bus compatibility matrix

    complete

    28 min window · stage 2

  3. Shadow inference

    active

    45 min window · stage 3

  4. Fleet promotion

    queued

    60 min window · stage 4

Mission data priority queue

  • #1

    High-confidence detections

    immediate promotion

    18%
  • #2

    Thermal excursions

    rolling 3-orbit window

    12%
  • #3

    SAR change chips

    diff against last downlink

    22%
  • #4

    Calibration ladders

    batched nightly

    8%
  • #5

    Full-frame archive

    ground recall only

    40%

Cost & fit

Modeled $85.3k / month downlink avoidance · Mission fit 78/100 · Runtime 364h edge/mo

For SmallSat Bus streaming Optical Imagery at ~2.0 TB/day (adjacent), SpaceCompute Cloud plans Object Detection on SC-Edge Compact. Expect ~79% less data on the wire, ~$85.3k/month avoided downlink spend at modeled rates, and mission-fit 78/100.