The decision layer for
Edge AI deployments
Jetson power sizing, PoE camera power budgets, SSD endurance validation, and hardware comparison tools. Input your deployment constraints → get sized infrastructure with confidence scores and machine-readable output.
Power budget · Environment
Define deployment scenario, model type, stream count, power budget, and environment. Every parameter has a direct effect on scoring.
The engine weights each platform against your requirements across stream capacity, power envelope, thermal constraints, and ecosystem fit.
Primary recommendation with match confidence, ranked alternatives, rationale, purchase links, and a shareable machine-readable JSON result.
Every result exports as JSON
Each recommendation serializes to a versioned JSON schema. Embed results in deployment pipelines, configuration management, procurement systems, or feed them directly to AI agents building deployment specifications.
Schema includes: inputs, selected device ID, match confidence, compute TOPS, power range, max streams, and ranked alternative device IDs.
Results are shareable via URL params — useful for passing decisions between engineering and procurement teams.
{
"schema": "edgeaistack/decision/v1",
"inputs": {
"scenario": "multi_camera",
"model": "object_detection",
"streams": 4,
"power_constraint": "moderate",
"environment": "active_cooled"
},
"recommendation": {
"device": "Jetson Orin Nano",
"device_id": "jetson_orin_nano",
"compute_tops": 40,
"match_confidence": 87,
"alternatives": [
"hailo8", "rk3588"
]
}
}
Start with the highest-signal deployment guides: Jetson power sizing, storage endurance, PoE budgeting, NVMe selection, and hardware comparisons.
Deployment guides and hardware deep dives
The tools surface quick decisions. For detailed context on Jetson deployment, power budgeting, storage endurance, and network sizing, read the hardware guide or browse all guides.