Edge Computing
SWIFT-EDGE-BOX
Industrial AI at the Edge
Process data where it's created — low latency computing with AI inference, containerized applications, and real-time analytics for Industry 4.0.
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Process data where it's created — low latency computing with AI inference, containerized applications, and real-time analytics for Industry 4.0.
Illustrative 3D rendering showing a typical SWIFT-EDGE-BOX setup
Enterprise-grade AI and analytics running locally, without cloud dependencies
Run machine learning models directly on-site for real-time predictions and anomaly detection without cloud latency.
Sub-millisecond response times for critical industrial applications where every moment counts.
Deploy and update applications using Docker containers for maximum flexibility and portability.
Everything you need for demanding edge computing applications
Run TensorFlow, PyTorch, and ONNX models locally for predictive maintenance and quality control
Process and analyze sensor data on-site, only sending relevant insights to the cloud
Collect, filter, and transform data from multiple sources before transmission
Keep sensitive production data on-premises while still leveraging cloud capabilities
Multi-core processing with GPU acceleration options for demanding workloads
Bridge legacy protocols to modern standards like OPC UA and MQTT
Proven solutions across manufacturing and industrial automation
AI-powered failure prediction before breakdowns occur, reducing downtime by up to 50%
Real-time quality control with computer vision detecting defects at line speed
Continuous improvement through ML-driven insights and automated optimization
Identify unusual patterns in real-time for both operational and security monitoring
Low-latency decision making for collaborative robots and automated systems
ML-based energy demand prediction for smart grid optimization
Enterprise-grade hardware for industrial edge computing
Multi-core ARM/x86 processors with optional GPU acceleration for ML workloads
Up to 32GB RAM with NVMe storage for fast data access and model loading
Dual Gigabit Ethernet, WiFi, optional LTE for flexible network integration
OPC UA, MQTT, Modbus TCP/RTU, REST API, Sparkplug B / UNS
Docker containers, Kubernetes-ready, Node-RED, Python, .NET
TPM 2.0, encrypted storage, VPN, certificate management
Let's discuss how SWIFT-EDGE-BOX can accelerate your digital transformation and bring AI to your production floor.