#edge-computing articles

VoxRT1d ago · 14 min read

Building a fully offline voice assistant on Raspberry Pi 4

What we are building A voice assistant that runs entirely on a Raspberry Pi 4. No cloud, no API keys, no per-minute pricing. The user says "Hey Assistant", the device wakes up, and then handles whatev

voxrt.hashnode.dev

perchdarbinyan2d ago · 8 min read

Designing Offline-First Industrial Edge Applications: Local Rules, Buffering and Cloud Recovery

An industrial gateway loses its cloud connection. Sensors continue producing measurements, operators still need local visibility, and previously downloaded rules must behave predictably. When connecti

iotforall.hashnode.dev

stamp IQ3d ago · 4 min read

Automating Exhibitor Lead Tracking with RFID at Saudi Events

When engineering an event analytics platform for Saudi Vision 2030 mega-exhibitions, relying on manual data entry or cloud-dependent QR code scanning creates a severe bottleneck. For corporate sponsor

stampiqhashnodedev.hashnode.dev

stamp IQ4d ago · 4 min read

Engineering Edge-Resilient Event Registration for Saudi Mega-Events

When engineering an event registration platform for Saudi Vision 2030 mega-exhibitions, standard cloud-native architecture becomes a critical liability. If you are deploying check-in infrastructure at

stampiqhashnodedev.hashnode.dev

Praise James5d ago · 15 min read

Build a local AI agent on a Raspberry Pi 5 with VectorAI DB

This article was originally published on the Actian blog. Agents on edge hardware usually lose their memory twice. The context window resets when a session ends, and any in-process store disappears w

actiandev.hashnode.dev

VoxRTOct 23 · 10 min read

On-device streaming ASR in 2026: five approaches and when to pick what

Why this topic right now In 2023 there were two options. Take OpenAI Whisper and live with offline batch inference (3+ GB large-v3, not streaming), or wait for cloud ASR with its privacy, cost, and la

voxrt.hashnode.dev

Yunus Emre VurgunOct 18 · 13 min read

Your 256-byte Q-table is lying to you: rounding, not memory, is what breaks RL on microcontrollers

Disclosure: this article was written for Yunus Emre Vurgun, who wrote Fringe Learning: Resource-Efficient RL for Edge ML, a short practical guide linked at the end. The experiment below is small, runs

yunusemrevurgun.hashnode.dev

NPOD-Edge Data CenterOct 13 · 9 min read

Micro Data Center Design: A Practical Sizing Method for Edge Workloads

A micro data center should be sized around the workload it must support, not the number of servers that fit inside its enclosure. A system running a few network services has different requirements fro

data-center-journal.hashnode.dev

NPOD-Edge Data CenterSep 29 · 5 min read

Micro Data Center Solutions: Why Businesses Are Moving Critical IT Closer to the Edge

For years, centralizing IT was the obvious choice. One primary data center handled most workloads, branch offices connected back to headquarters, and that model worked well for businesses with predict

data-center-journal.hashnode.dev

Sarmeet SinghSep 29 · 55 min read

The Copy at the Doorstep: CDNs and Edge Computing, Explained Like You're New

The idempotency post (#6) ended with a promise: next, what happens when the copy moves to the user's doorstep. This is that post. The caching post (#1) taught you to keep a copy close so you don't wal

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