Google Cloud IoT Edge
Extend data processing and machine learning to edge devices.
Overview
Google Cloud IoT Edge is a software stack that extends Google Cloud's powerful data processing and machine learning capabilities to gateways and edge devices. It allows you to build and deploy applications that can collect, process, and analyze data at the edge. The software is composed of two main components: the Edge IoT Core runtime for secure connectivity to the cloud, and Edge ML for running TensorFlow Lite machine learning models locally.
✨ Key Features
- Edge ML inference with TensorFlow Lite
- Secure connectivity to Google Cloud IoT Core
- Local data processing and filtering
- Hardware root of trust security
- Protocol bridging (e.g., Modbus, OPC UA)
- Managed over-the-air (OTA) updates
🎯 Key Differentiators
- Superior integration with Google's AI and ML ecosystem (TensorFlow, AI Platform).
- Strong data analytics capabilities with BigQuery integration.
- Leverages Google's robust and secure global network.
Unique Value: Brings Google's world-class AI, machine learning, and data analytics capabilities to the edge, enabling powerful, real-time intelligence in industrial environments.
🎯 Use Cases (5)
✅ Best For
- Running ML models on camera feeds to detect product defects on an assembly line.
- Analyzing vibration data from industrial motors to predict failures.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using or planning to use the Google Cloud Platform.
🏆 Alternatives
Offers best-in-class machine learning capabilities at the edge, making it ideal for AI-driven use cases.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Production, Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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