A factory floor sensor generating 1000 readings/second cannot wait 100ms for cloud processing. A fleet of 10K devices sending raw data costs $50K/month in bandwidth alone. Edge computing solves both: process locally, send summaries.
Filter, aggregate, forward pattern.| Raspberry Pi 5 | Prototyping, light processing | Limited | $80 |
| NVIDIA Jetson Orin | AI inference, vision | Yes, 275 TOPS | $500-2000 |
| Intel NUC | Gateway, multi-protocol | CPU inference | $300-700 |
| Industrial PLC | Manufacturing, harsh env | No | $500-3000 |
The future is distributed. Process at the edge, analyze in the cloud. This hybrid maximizes speed, minimizes cost, and ensures reliability.
Edge computing for IoT processes data locally at the source rather than sending everything to the cloud, reducing latency from over 100ms to under 10ms for local decisions and cutting bandwidth costs by 60-80%. Hybrid edge-cloud architectures combine the speed of local processing with the scalability of cloud analytics, while edge AI enables real-time machine learning inference without cloud roundtrips.
Key Takeaways
- Edge reduces latency from 100ms+ to <10ms for local decisions
- Bandwidth savings of 60-80% by filtering data at the edge
- Edge AI enables real-time inference without cloud roundtrips
- Offline capability ensures IoT systems work during connectivity loss
- Hybrid edge-cloud architectures combine local speed with cloud scale
Frequently Asked Questions
Key Terms
- Edge Computing
- Processing data near the source rather than in a centralized cloud.
- Fog Computing
- Distributed computing layer between edge devices and cloud.
- Edge AI
- Running ML models on edge devices for local inference.
How does this apply to what you are building?
Every project has its own context. If any of this sparked questions about your stack, team or next decision, we are happy to think through it together.
Start a ConversationSummary
Sending all IoT data to the cloud is expensive and slow. Edge computing processes data locally, reducing latency 10-100x and bandwidth costs 60-80%.