Edge Computing and Data Analytics
Edge architecture, local inference, telemetry pipelines, data quality, diagnostics, and low-latency processing for field systems.
Edge Computing and Data Analytics articles · Page 2
Why Local Architecture Matters More Than Device Count in Home Assistant Energy Management
Many Home Assistant energy projects start with the same instinct: add more devices. Add the smart meter, inverter, battery, EV charger, HVAC controller, smart plugs.
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Edge Gateway vs IoT Platform vs Serial Converter
In device connectivity projects, serial converters, edge gateways, and IoT platforms often appear in the same bill of materials.
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Ollama for Local AI and Private Deployment: Enterprise Use Cases and Limits
Ollama is not the answer to "move all AI workloads on-premises." It is a practical fit when data needs to stay inside a controlled environment.
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LTE-M, NB-IoT, or Cat-1 bis: How to Choose for Global Rollouts
Many global IoT projects reduce cellular module selection to a simple price question: should the device use LTE-M, NB-IoT, or Cat-1 bis?
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The Hard Part of Multimodal Edge Systems Is Latency, Sync, and Operations
When teams build multimodal edge terminals, they often focus on the models first. They ask whether speech recognition is accurate enough.
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How to Separate Model, Firmware, and Config Versioning in Edge AI
Many teams treat versioning in edge devices as a simple software-management task. There is one version number, the device upgrades once.
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ESP32-S3 Edge AI in Practice: Deep Optimization of TensorFlow Lite Micro Inference Performance
Deep dive into ESP32-S3 TinyML optimization, covering TFLM setup, INT8 quantization, memory tuning, PSRAM trade-offs, and real-world performance limits.
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ESP32 Edge AI Architecture: OTA, INT8, and Inference Guide
A deep dive into ESP32 edge AI architecture, covering OTA design, INT8 inference, memory constraints, and production considerations for long-running devices.
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ESP32 Chip Series: Best Use Cases and Model Comparison 2026
Struggling with ESP32 chip series comparison? This clear 2026 guide maps versions to real IoT and edge AI use—save power, avoid feature bloat.
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RK3566 Can Run YOLOv8 INT8 — But Only Within These Limits
Real-time YOLOv8 INT8 on RK3566 is possible—if you manage execution paths, quantization effects, and model limits.
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RKNN ONNX Opset Compatibility Guide: Constraints, Failures, and Baselines for Edge NPU Deployment
RKNN ONNX opset compatibility guide: static shape, post-process outside model, fix opset for YOLOv8 NPU stability and operator mapping.
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From Wake Word Detection to Edge Intelligence: The Technical Potential of ESP32-S3 TensorFlow Lite Micro
Learn how ESP32-S3 TensorFlow Lite Micro enables edge AI and wake word detection with on-device inference for embedded and IoT devices.
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