// Edge AI Hardware Guides

Edge AI Guides & Hardware Intelligence

Engineering-focused articles on selecting hardware, configuring infrastructure, and solving the real constraints that define edge AI deployments — power, thermals, storage endurance, latency, and long-term maintainability. No sponsored rankings. No cloud-first assumptions.

Jetson
PoE
Storage Endurance
Deployment Architecture

Start here

New to Edge AI infrastructure? Start with the Edge AI Hardware Guide and then work through Jetson power sizing, NVMe storage, PoE budgeting, and deployment architecture in a structured reading path.

// START HERE
// Edge AI Deployment Tools
01
Hardware Selector

Find the right chip for your scenario, model complexity, and thermal envelope.

02
GPU, Power, Network

Size compute, plan power, and estimate bandwidth from deployment inputs.

03
Storage + Full Planner

Validate SSD lifespan and use the Full Deployment Planner for system-level BOM planning.

// JETSON POWER, THERMALS & PERFORMANCE
// STORAGE, NVME & ENDURANCE
// POE POWER & CAMERA INFRASTRUCTURE
// HARDWARE COMPARISONS & PLATFORM SELECTION
Best Hardware for Frigate NVR (2026)
Detector buying guide: Coral, Hailo-8/8L, Jetson, Intel iGPU/NPU, and RK3588 sized by inference time, not TOPS.
Jetson Thor vs AGX Orin (2026)
When the AGX Thor's $3,499 price is justified. FP4 quantization, 128GB memory, and edge LLM workloads.
Edge LLM Runtime Stack (2026)
llama.cpp vs Ollama vs TensorRT Edge-LLM vs ExecuTorch vs vLLM vs MLX vs LiteRT-LM — with a hardware pairing matrix.
vLLM on Jetson Orin: Unified-Memory Traps
x86-only wheels, 15GB+ containers, and a silent CPU fallback that costs 100× throughput. The 2026 field guide.
Which Jetson Runs Which VLM (2026)
Memory-first sizing for vision-language models across Orin Nano, NX, AGX Orin, and Thor — with throughput numbers.
Multi-Model Inference on Jetson (2026)
Running detection + classification + pose at once: why unified memory (not TOPS) is the ceiling, DLA offload, and which Jetson fits.
Best Edge AI Starter Kits (2026)
Curated buyer's guide for complete edge AI platform kits.
Recommended Edge AI Builds 2026
Reference builds for common deployment scenarios.
Jetson vs Coral TPU
Core architecture trade-offs between NVIDIA Jetson and Google Coral for edge inference.
Jetson Orin Nano vs Hailo-8
Which accelerator wins for common deployment patterns.
Jetson Orin Nano vs Jetson Orin NX
Upgrade decision guidance for deployment planning.
Jetson Orin Nano vs Nano Super
Performance gains, power impact, and upgrade fit.
Jetson Orin Nano vs Raspberry Pi 5
Practical platform comparison for edge workloads.
// DEPLOYMENT ARCHITECTURE & NETWORKING
// REFERENCE