Edge Architect

Select the optimal edge AI hardware for your project. Define your workload, constraints, and budget, and our scoring engine will rank the best platforms across NVIDIA Jetson, Google Coral, Hailo, and Raspberry Pi ecosystems.

Project Configuration
1. Architecture
ConstraintsNone
Workloadobject detection
Complexitysmall
Sensors1 total
Latencysoft realtime
2. Environment
Locationindoor lab
Powerplugged in
Networkalways connected
3. Constraints
Budgetunder 500
Ecosystemany
Experienceintermediate
Step 1 of 3: Project Definition

Architecture Profile

Define the primary workload, commercial constraints, and physical sensor payload.

Primary Workload
Object DetectionYOLO, SSD
Multi-Cam Analytics4+ streams
Industrial InspectionHigh accuracy/res
Robotics / NavROS2, SLAM
Sensor FusionThermal + RGB + LiDAR
UAV / DroneLow weight/power
Pose EstimationHuman tracking
Edge LLMPhi, LLaMA, RAG
Prototype / LearningStudent, hobbyist
Compliance & Environment (Hard Limits)
NDAA Compliant
Eliminate restricted foreign silicon
Industrial Rated
Require -40°C to 85°C operating range
Long Lifecycle
Prioritize 10+ year availability guarantees
Fanless / Passive
Eliminate active cooling (required for sealed NEMA boxes)
Sensor Payload Builder
Quantity
1
Resolution
Framerate (FPS)
Model Complexity
Tiny (MobileNet/TinyML)
Small (YOLOv8s)
Medium (ResNet50)
Large (ViT)
LLM (Generative AI)
Latency Target
< 33ms
< 100ms
< 500ms
Batch / Async