Edge Computing and Data Analytics
A category dedicated to topics like edge computing, AI analytics, and how data processing is handled on IoT devices and platforms. This would also include the benefits...
Edge Computing and Data Analytics articles
Historian vs Time-Series Database for Industrial IoT
Plant historians and general time-series databases are not simple replacements for one another. This guide compares them by data quality, compression, tag governance, ...
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MQTT Sparkplug B vs Custom Topics in Industrial IoT
Sparkplug B fits industrial MQTT systems that need device discovery, lifecycle state, and consistent metric semantics. Custom MQTT topics fit lightweight telemetry, bu...
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Why Local Architecture Matters More Than Device Count in Home Assistant Energy Management
Home Assistant energy management works best when local data, control boundaries, fallback behavior, and manual override are designed before adding more meters, solar, ...
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Edge Gateway vs IoT Platform vs Serial Converter
Edge gateway vs IoT platform vs serial converter: learn how each layer works in device connectivity projects, when to use each one, how to combine them, and when not t...
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Ollama for Local AI and Private Deployment: Enterprise Use Cases and Limits
Ollama is useful for local prototypes, private knowledge-base validation, offline assistants, and low-concurrency edge inference, but it should not be treated as a ful...
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LTE-M, NB-IoT, or Cat-1 bis: How to Choose for Global Rollouts
LTE-M, NB-IoT, and Cat-1 bis should not be selected by module price alone. Global IoT rollouts must evaluate coverage, mobility, FOTA, power behavior, module certifica...
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The Hard Part of Multimodal Edge Systems Is Latency, Sync, and Operations
In multimodal edge systems, the hardest part is rarely whether a model can run. It is whether voice, video, and event streams stay aligned, low-latency, diagnosable, a...
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How to Separate Model, Firmware, and Config Versioning in Edge AI
Edge AI fleets become hard to operate when firmware, model, and config are hidden behind one bundle version. This article explains how to separate those version planes...
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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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