Edge Computing Solutions
High-performance edge platforms supporting AI inference and real-time processing for intelligent networks.
Design Philosophy
Distributed Architecture
Distributed edge nodes process data locally to reduce network latency and bandwidth consumption.
Intelligent Processing
Integrated AI inference engines support local decision-making, reducing cloud dependency.
Cloud-Edge Collaboration
Seamless coordination between cloud and edge for local processing and cloud-based training.
Secure & Reliable
Built-in multi-layered security mechanisms and encrypted transmission ensure a safe environment.
Edge Platform Solutions
Specialized hardware for high-concurrency edge analytics and intelligent decision making.
TP-EDGE Specialized Node
Designed for heavy data throughput and complex AI model local execution, significantly reducing cloud dependency and improving system responsiveness.
High-performance AI inference modules supporting TensorFlow, PyTorch frameworks.
Integrated 5G/4G, WiFi6, and redundant Gigabit Ethernet for multi-network fusion.
Rich industrial I/O: USB 3.0, HDMI, Isolated Serial ports, and High-speed GPIO.
Supports containerized deployment (Docker/Kubernetes) for simplified management.
Wide operating temp (-40°C~+70°C) and IP65 ruggedized protection.
Success Stories
Proven results in transforming industrial networks with intelligent edge systems.
Smart Factory Predictive Maintenance
Challenge
High latency in centralized cloud processing prevented real-time control and accurate failure prediction.
Custom Solution
Customized industrial edge hosts with AI modules and fanless design supporting wide temp operation.
Measurable Results
Smart Campus Edge Computing Platform
Challenge
Bandwidth bottlenecks due to massive IoT device density and high cloud storage costs.
Custom Solution
Distributed edge nodes with 5G connectivity and multi-protocol support for various IoT sensors.
Measurable Results
Core Edge Advantages
Ultra-low Latency
Millisecond response times to meet strict real-time requirements of industrial applications.
Local Processing
Proximity data handling reduces traffic and improves overall processing efficiency.
AI Acceleration
Hardware-level AI engines for local deployment and inference of deep learning models.
Expert Support
Dedicated edge computing engineering team providing full technical lifecycle support.
Technical Specifications
Designed to industry standards for high-reliability industrial deployment.
Computing Power
- CPU: Intel Core i7/i5 or ARM Cortex-A78
- GPU: NVIDIA RTX or Integrated AI Accel
- Memory: 8GB-64GB Industrial DDR4
- Storage: 256GB-2TB NVMe SSD
Connectivity
- Ethernet: 2-8x Gigabit LAN (POE opt)
- Wireless: 5G NR / WiFi 6 / BT 5.2
- I/O: USB 3.2, HDMI 2.0, Isolated Serial
- Expansion: PCIe, M.2 Expansion slots
Industrial Design
- -40°C ~ +70°C Operating Temperature
- IP65 Rated Protection Level
- IEC 60068-2-6 Vibration Resistant
- DC 12V-48V Wide Voltage Input
Ready for the Edge Revolution?
Join 500+ global enterprises optimizing their systems with our specialized edge hardware.