AI IN SPACE
On-Orbit Edge Compute Hosting
On-orbit compute hosting enables low-latency processing, reduced downlink volume, and faster decision cycles—but procurement must specify power/thermal, workload patterns, update cadence, and security boundaries.
Power + thermal are the real limits
Compute capability is governed by watts, dissipation, and duty cycle.
Workload model matters
Containerized workloads, task queues, and deployment cadence must be specified.
Delivered outcomes > FLOPS
Define what outputs are delivered and how they integrate into your pipeline.
Answer a few specs and get a quote-grade procurement brief you can send to vendors. You will even be able to save it as a PDF to share with others.
AI inference / video processing / analytics / other
Avg/peak W + duty cycle + thermal dissipation
Containerized apps / managed pipeline / API tasking
Daily / weekly / monthly / on-demand
Isolation + IAM + audit + key management
API outputs / direct-to-cloud / secure endpoint
What on-orbit edge compute hosting provides
On-orbit edge compute hosting is a payload-as-a-service model where the hosted payload is compute: you deploy workloads, run inference/processing in space, and receive delivered outputs via an API/portal or secure endpoint. The procurement challenge is specifying the operational model: workload scheduling, update cadence, isolation/security, and delivery semantics.
Compute power profile
Thermal dissipation
Workload deployment model
Tasking + scheduling
Isolation + security
Delivered outputs + APIs
Update cadence
Ops tier
HOW IT WORKS
Buy compute hosting like a platform.
Treat on-orbit compute like a managed platform: define workloads, resource budgets, update paths, and delivered outputs.
1
Define workload and outputs
What runs on orbit and what outputs you need delivered.
2
Define power/thermal budgets
Avg/peak power, duty cycle, and dissipation constraints.
3
Choose deployment model
Containerized workloads, managed pipelines, or API-only tasking.
4
Set update cadence + governance
How models/apps are updated and how changes are approved/audited.
5
Integrate delivery
API endpoints, event hooks, monitoring, and SLA semantics.
Compute hosting vendor types.
Some providers host “compute-enabled experiments,” others provide a platform with APIs and governance. Match to your delivery and security needs.
Compute-enabled hosted payload programs
Best for
Tech demos and early adoption workloads
Typical pricing
Program fee + usage tiers
What you'll need to provide
Workload definition, power/thermal budget, outputs
Platform/API-first compute hosting
Best for
Repeatable deployments, governance, and automation
Typical pricing
Platform tiers + usage + SLA add-ons
What you'll need to provide
API requirements, audit/retention, update governance
Customer-managed secure compute models
Best for
Workloads requiring strict isolation and control
Typical pricing
Higher integration/security scope
What you'll need to provide
Isolation model and key management requirements
Mission-ops-forward compute hosting
Best for
24/7 monitoring and operational rigor
Typical pricing
Ops tier + incident response add-ons
What you'll need to provide
Coverage hours, response tiers, runbooks
THE CHECKLIST
On-orbit compute procurement checklist.
These fields convert “we want AI in space” into a quoteable hosting request.
Workload
• Inference vs analytics vs video
• Inputs and data sources
• Output format
• Latency requirements
Resource budgets
• Avg/peak power (W)
• Duty cycle
• Thermal dissipation
• Storage needs
• Throughput needs
Deployment model
• Containerization requirements
• Task queue model
• Scheduling cutoffs
• Rollback behavior
Update cadence
• Model update frequency
• Deployment approvals
• Validation/testing expectations
• Versioning and audit
Security + isolation
• Tenant isolation
• IAM/roles
• Key management
• Audit logs and retention
Delivery
• API endpoints
• Direct-to-cloud delivery
• Monitoring/alerts
• Availability semantics
Compute hosting use cases.
On-orbit video analytics
Process video in orbit, downlink only events or compressed outputs.
Model-in-the-loop experiments
Deploy and iterate models with defined update cadence and evidence capture.
Low-latency detection
Run inference close to the sensor and deliver alerts quickly.
Bandwidth reduction
Preprocess data on orbit to reduce downlink volume and costs.
How compute hosting is priced.
Pilot / best-effort compute hosting
Lower cost
Limited governance
Good for demos
MOST POPULAR
Platform tiers (API + governance)
Automation + auditability
Better repeatability and controls
High-assurance isolation
Stronger security model
Higher integration and ops overhead
Mission-critical ops tier
24/7 monitoring
Faster response
Defined SLAs
Compute hosting is priced like power+ops+delivery. If you need strict isolation and 24/7 response, price increases accordingly.
On-Orbit Compute Hosting FAQs
What’s the #1 constraint for on-orbit compute?
Power and thermal dissipation. Your compute capability is governed by watts, duty cycle, and heat rejection.
Do providers support containerized workloads?
Some do. Procurement should specify containerization, deployment/rollback behavior, and update governance to ensure compatibility.
How do model updates work?
Typically via controlled deployment pipelines with versioning and approvals. Specify update cadence, validation requirements, and audit retention.
What outputs should I request?
Request delivered outputs that match your pipeline: alerts, embeddings, metadata, compressed products, and logs—not just raw compute availability.
How do I compare vendors?
Compare on power/thermal budgets, deployment model, governance/audit, isolation/security, and delivery semantics—not peak marketing numbers.
How does Full Orbit help?
We translate workloads into a quote-grade compute hosting brief and return 2–3 offers aligned to your operational model and delivery needs.
Is on-orbit compute only for defense?
No. Commercial programs use it to reduce bandwidth, speed insights, and build differentiated data products.
Can I start small and scale?
Yes—start with a pilot tier to validate value, then upgrade governance, isolation, and ops tiers as requirements mature.