Generate your deployment BOM
The production view over one architecture. Define your deployment scenario and this page takes the platform, the node count and the per-node camera split from the Architecture Designer — unchanged, never re-picked — and turns them into a bill of materials with commissioning, a business case, the compliance checklist, costed certification pathways and the monitoring config. Every BOM line says which engine produced it and how well evidenced it is.
01 · Define Deployment
Mains and PoE are the modelled power sources. Battery and UPS runtime are not modelled; see Jetson Power & PSU for supply sizing.
Optimize is a ranking goal (lowest cost → cost, highest performance → headroom): it re-weights how the platforms are ranked and can change the pick where the goals disagree; it never removes a platform. The scenario sets the compliance checklist, certification pathways and ROI benchmarks; it does not change the platform.
The environment sets the planning ambient the thermal checks run at — 25, 35, 40, 50 and 55 °C in the order shown (class E planning bands, stated in the plan’s assumptions).
02 · Bill of Materials
What this Full Deployment Planner decides
This planner is the deployment-level decision layer for EdgeAIStack. It combines compute selection, power infrastructure, network sizing, storage retention, enclosure requirements, and installation cost into a single deployment specification. The goal is to turn a scenario description into a practical, machine-readable bill of materials for real edge AI deployments.
Scenario + Model
Use case and AI model type determine the practical compute profile and deployment shape.
Cameras + Resolution
Stream count and resolution drive compute demand, network bandwidth, and storage growth.
Power + Retention + Environment
Power method, storage retention, and deployment environment shape the infrastructure bill of materials and total project cost.
The planner takes the selected deployment inputs and generates a full-system estimate across the major infrastructure layers needed for edge AI: compute hardware, network switching, power delivery, storage media, enclosures, and installation. The result is designed to help engineers and buyers move from idea to deployment specification faster.
- Compute platform recommendation and quantity
- Network switch and cabling estimate
- Power infrastructure class and load planning
- Storage capacity and endurance fit
- Environmental enclosure guidance
- Installation and project-level cost estimate
The output groups costs and components into deployment sections so the result is readable by both humans and downstream systems. It is intended as a planning BOM rather than a final quote.
- Architecture layer: platform, node count, per-node camera split, verdict and primary bottleneck — the Architecture Designer's answer, copied without change
- Summary layer: project cost, hardware cost, power draw, network bandwidth, storage requirement, and selected accelerator
- BOM lines: compute, storage, network, power, enclosure, cabling, cameras, sensors and commissioning — each stamped with the engine that produced it and its evidence class, so a sourced vendor price is never mistaken for a planning allowance
- Gap layer: what the BOM could not price, named rather than padded out
- Business case, compliance and monitoring layers: 3-year total, cloud comparison, financing, the regulatory checklist, costed certification pathways and the production monitoring config
- Risk layer: every constraint at or past its published ceiling, with the engine that asserted it
- Machine-readable layer: exportable JSON for configuration reuse, sharing, or API-based workflows
{
"tool": "full-deployment-planner",
"schema_version": "v1",
"inputs": {
"scenario": "security",
"cameras": 8,
"resolution": "1080p",
"model": "detection",
"power_infra": "poe",
"retention": 30,
"environment": "outdoor_sheltered"
},
"outputs": {
"platform": "jetson_orin_nano_super",
"node_count": 2,
"per_node_assignment": [4, 4],
"verdict": "FIT_WITH_RISKS",
"summary": {
"total_project_cost": 4250,
"hardware_cost": 3542,
"total_power_w": 140,
"network_mbps": 48,
"storage_tb": 15.4,
"accelerator": "Jetson Orin Nano Super"
},
"bill_of_materials": [
{
"section": "compute",
"item": "Jetson Orin Nano Super × 2 nodes",
"qty": 2,
"unit_usd": 249,
"est_cost_usd": 498,
"evidence_class": "B",
"engine": "hardware_match"
},
{
"section": "network",
"item": "PoE switch (unmanaged)",
"qty": 1,
"unit_usd": 136,
"est_cost_usd": 136,
"evidence_class": "E",
"engine": "deployment_cost"
},
{
"section": "services",
"item": "Installation & commissioning",
"qty": 1,
"unit_usd": 708,
"est_cost_usd": 708,
"evidence_class": "E",
"engine": "full_deployment_planner"
}
]
}
}
03 · Common questions
Is this the main planning tool on the site?
Yes. This is the deployment-level tool that brings together the reasoning from the individual hardware, power, network, and storage calculators into one consolidated planning output.
Does the bill of materials include installation?
Yes. The planner includes an installation estimate as part of the deployment-level total, though it should be treated as a planning-grade estimate rather than a final services quote.
Can the output be shared or reused?
Yes. The planner produces machine-readable JSON output and supports shareable configurations so the deployment can be reviewed, exported, or reused in downstream workflows.
Should I send the second file too?
If the slug has an additional file that renders saved configurations, print views, or deployment-specific output pages, that file is worth reviewing too because it likely affects crawlability and how AI systems interpret saved deployment specs.
What does the Full Deployment Planner decide?
The Full Deployment Planner estimates the hardware, power, network, storage, enclosure, and installation requirements for a complete edge AI deployment and returns a bill of materials with projected cost and configuration guidance.
Who is this deployment planner for?
This tool is intended for engineers, systems integrators, and technical buyers planning edge AI camera deployments across retail, industrial, security, traffic, robotics, and remote monitoring use cases.
Does the planner include power, network, and storage together?
Yes. The planner combines compute selection, power infrastructure, network bandwidth, storage retention, enclosure requirements, and estimated installation cost into a single deployment-level output.
Is the bill of materials a final procurement quote?
No. The output is a planning-grade estimate intended to accelerate sizing and specification work. Final procurement pricing depends on exact vendors, regional availability, and deployment-specific engineering constraints.