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 · Page 2
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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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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How to Deploy YOLOv8 on RK3566: Build Efficient Edge AI Inference from Scratch
Learn how to deploy YOLOv8 on RK3566 step by step. This complete edge inference tutorial covers model conversion, optimization, and real-time detection setup for embed...
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OpenMQTTGateway: Unifying Multi-Protocol IoT Devices with an ESP32-Based MQTT Framework
OpenMQTTGateway is an open-source ESP32 MQTT gateway bridging BLE, RF, and IR for scalable IoT integration. Explore enterprise IoT solutions.
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