--- title: "#edge-computing articles | Hashnode" description: "Explore 198 articles tagged #edge-computing on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/edge-computing" --- Tag # #edge-computing 198 posts · 13 followers [NPOD-Edge Data Center](https://hashnode.com/@npod) · [2h ago](https://hashnode.com/posts/edge-micro-data-center-industrial-sites/6af559f5eed7b83cbe72555f) ### [Edge Micro Data Center for Industrial Sites: Planning Reliable Local Computing](https://data-center-journal.hashnode.dev/edge-micro-data-center-industrial-sites?utm_source=hashnode&utm_medium=feed) Learn how localized computing, integrated cooling and remote monitoring help industrial facilities manage IT infrastructure at remote sites. 6 min read · [data-center-journal.hashnode.dev](https://data-center-journal.hashnode.dev/edge-micro-data-center-industrial-sites?utm_source=hashnode&utm_medium=feed) [stamp IQ](https://hashnode.com/@stampiqevent) · [1d ago](https://hashnode.com/posts/smart-event-management-in-saudi-arabia-the-shift-to-rfid-delegate-tracking/6af41118638c202bdf5d84f7) ### [Smart Event Management in Saudi Arabia: The Shift to RFID Delegate Tracking](https://stampiqhashnodedev.hashnode.dev/smart-event-management-in-saudi-arabia-the-shift-to-rfid-delegate-tracking?utm_source=hashnode&utm_medium=feed) Architecting low-latency, edge-computed hardware integrations for enterprise exhibitions in the GCC. 2 min read · [stampiqhashnodedev.hashnode.dev](https://stampiqhashnodedev.hashnode.dev/smart-event-management-in-saudi-arabia-the-shift-to-rfid-delegate-tracking?utm_source=hashnode&utm_medium=feed) [mihalykrich](https://hashnode.com/@mkrich) · [1d ago](https://hashnode.com/posts/building-krxy-five-models-qwen35-holdout-evaluation-part-9/6af384ceda469ff418676135) ### [Building KRXY — Part 9: Five Models, One Benchmark — What Do the Numbers Say?](https://krxy.hashnode.dev/building-krxy-five-models-qwen35-holdout-evaluation-part-9?utm_source=hashnode&utm_medium=feed) 3–4 November 2026: repairing the Qwen3.5 gateway, measuring context and timeout limits, and evaluating 72 responses across three CPU models. 14 min read · [krxy.hashnode.dev](https://krxy.hashnode.dev/building-krxy-five-models-qwen35-holdout-evaluation-part-9?utm_source=hashnode&utm_medium=feed) [mihalykrich](https://hashnode.com/@mkrich) · [2d ago](https://hashnode.com/posts/building-krxy-network-outage-qwen35-model-library-part-8/6af2d93c1d0be502ac51a1cb) ### [Building KRXY — Part 8: When the Network Slows Down — and the Model Library Grows](https://krxy.hashnode.dev/building-krxy-network-outage-qwen35-model-library-part-8?utm_source=hashnode&utm_medium=feed) 1–2 November 2026: two-Pi learning through bandwidth limits and a two-minute outage, followed by the first Qwen3.5 2B and 4B installations. 13 min read · [krxy.hashnode.dev](https://krxy.hashnode.dev/building-krxy-network-outage-qwen35-model-library-part-8?utm_source=hashnode&utm_medium=feed) [NPOD-Edge Data Center](https://hashnode.com/@npod) · [2d ago](https://hashnode.com/posts/how-edge-computing-data-centers-help-industrial-iot-systems-process-data-in-real-time/6af2b0499b256dacafb035e2) ### [How Edge Computing Data Centers Help Industrial IoT Systems Process Data in Real Time](https://data-center-journal.hashnode.dev/how-edge-computing-data-centers-help-industrial-iot-systems-process-data-in-real-time?utm_source=hashnode&utm_medium=feed) Discover how edge computing data centers process industrial IoT data locally to support faster machine monitoring and automation. 6 min read · [data-center-journal.hashnode.dev](https://data-center-journal.hashnode.dev/how-edge-computing-data-centers-help-industrial-iot-systems-process-data-in-real-time?utm_source=hashnode&utm_medium=feed) [mihalykrich](https://hashnode.com/@mkrich) · [2d ago](https://hashnode.com/posts/building-krxy-two-nodes-distributed-learning-part-7/6af23955a301acb1ee2cc391) ### [Building KRXY — Part 7: From Two AI Nodes to Distributed Learning](https://krxy.hashnode.dev/building-krxy-two-nodes-distributed-learning-part-7?utm_source=hashnode&utm_medium=feed) 30–31 October 2026: safer node recovery, more reliable serving, and the first measured two-Pi learning and rejoin experiments. 12 min read · [krxy.hashnode.dev](https://krxy.hashnode.dev/building-krxy-two-nodes-distributed-learning-part-7?utm_source=hashnode&utm_medium=feed) [mihalykrich](https://hashnode.com/@mkrich) · [4d ago](https://hashnode.com/posts/building-krxy-two-raspberry-pi-nodes-parallel-inference-part-6/6aeef1500cff82bbdea1ea36) ### [Building KRXY — Part 6: Two Raspberry Pis, One Network — What Actually Gets Faster?](https://krxy.hashnode.dev/building-krxy-two-raspberry-pi-nodes-parallel-inference-part-6?utm_source=hashnode&utm_medium=feed) 28–29 October 2026: adding a CPU-only node, measuring parallel inference, tracking thermal limits and learning why two workers do not make one answer faster. 10 min read · [krxy.hashnode.dev](https://krxy.hashnode.dev/building-krxy-two-raspberry-pi-nodes-parallel-inference-part-6?utm_source=hashnode&utm_medium=feed) [3](https://hashnode.com/posts/building-krxy-two-raspberry-pi-nodes-parallel-inference-part-6/6aeef1500cff82bbdea1ea36) [stamp IQ](https://hashnode.com/@stampiqevent) · [5d ago](https://hashnode.com/posts/scaling-saudi-mega-events-rfid-attendee-tracking-real-time-event-analytics-dashboards/6aeda6d162512e95120f3f64) ### [Scaling Saudi Mega-Events: RFID Attendee Tracking & Real-Time Event Analytics Dashboards](https://stampiqhashnodedev.hashnode.dev/scaling-saudi-mega-events-rfid-attendee-tracking-real-time-event-analytics-dashboards?utm_source=hashnode&utm_medium=feed) The system architecture behind massive Saudi Vision 2030 exhibitions. 3 min read · [stampiqhashnodedev.hashnode.dev](https://stampiqhashnodedev.hashnode.dev/scaling-saudi-mega-events-rfid-attendee-tracking-real-time-event-analytics-dashboards?utm_source=hashnode&utm_medium=feed) [mihalykrich](https://hashnode.com/@mkrich) · [6d ago](https://hashnode.com/posts/building-krxy-measuring-answers-model-evaluations-part-5/6aece058c796338b8ff2fa6b) ### [Building KRXY — Part 5: Measuring Answers Before Choosing a Model](https://krxy.hashnode.dev/building-krxy-measuring-answers-model-evaluations-part-5?utm_source=hashnode&utm_medium=feed) 26–27 October 2026: model evaluations, a 3B hold-out, the node model library, and an incomplete response that exposed the output limit. 10 min read · [krxy.hashnode.dev](https://krxy.hashnode.dev/building-krxy-measuring-answers-model-evaluations-part-5?utm_source=hashnode&utm_medium=feed) [Shivam Kumar](https://hashnode.com/@shivaysinghrajput) · [Nov 4](https://hashnode.com/posts/the-suncatcher-playbook-what-google-s-orbital-ai-test-teaches-builders-about-compute-at-the-edge/6aeab4db244464a2fc843a6b) ### [The Suncatcher Playbook: What Google's Orbital AI Test Teaches Builders About Compute at the Edge](https://shivaysinghrajput.hashnode.dev/the-suncatcher-playbook-what-google-s-orbital-ai-test-teaches-builders-about-compute-at-the-edge?utm_source=hashnode&utm_medium=feed) Google just ran an AI model in space and got a poem back. Strip away the romance and you get a playbook — because Project Suncatcher is, at heart, an edge-computing experiment wearing a spacesuit. Her 3 min read · [shivaysinghrajput.hashnode.dev](https://shivaysinghrajput.hashnode.dev/the-suncatcher-playbook-what-google-s-orbital-ai-test-teaches-builders-about-compute-at-the-edge?utm_source=hashnode&utm_medium=feed)