[Practical Guide] Leave the Cloud Behind: Deploying Edge AI Models with TFLite and ONNX
Feeling the limits of cloud-based AI? This guide lays out a practical roadmap for actually deploying trained models to edge devices like Raspberry Pi and Jetson, covering the A-to-Z process of compressing and optimizing models with TFLite a
Designing a Real-Time Streaming Pipeline for Edge AI: Ingestion, Transport, and Edge Inference
A complete architecture blueprint for running AI in ultra-low-latency settings such as autonomous driving and smart factories, without depending on the cloud. From MQTT and model compression to smart data-sync strategies, it covers practica
Beyond the Cloud to Smartphones: A Complete Guide to Edge AI for On-Device LLM Implementation
Tired of API call costs and latency? This article provides a complete, step-by-step guide to the full architecture and model lightweighting techniques for implementing Edge AI and on-device LLMs, so you can master practical deployment metho
Industrial AI Integration Architecture Guide, Part 3: Edge-Cloud Hybrid Deployment
Shop-floor manufacturing AI cannot wait for a response: it needs <50ms inference, offline operation, and drift detection. This part covers low-latency ONNX inference, batching for 10–20× throughput, Isolation Forest predictive maintenance,
Beyond the Cloud to the Edge: An Essential Tool Comparison Guide for Embedded AI (TFLite vs. ONNX Runtime)
Does deploying AI models onto real hardware (Raspberry Pi, Jetson, and similar devices) feel harder than training them? This guide compares TensorFlow Lite and ONNX Runtime—the core runtimes for edge computing—and walks through deployment w
Serverless vs. Edge Computing: A System Architect's Guide to Choosing the Optimal Distributed Computing Architecture
This article analyzes the fundamental differences between serverless and edge computing in addressing latency and data sovereignty problems that the cloud alone cannot solve. It presents a practical framework for designing the optimal hybri
Practical Guide: Scenario-Based Edge Computing Architecture Design from Smart Factories to Autonomous Driving
Going beyond conceptual overviews, this post shows how to design edge computing architectures optimized for real industrial scenarios such as smart factories and autonomous driving. It offers an in-depth architect-level comparison of techno