AI Edge Inference Computer
The AI Edge Inference Computer exploits NVMe’s rapid efficiency and storage scalability for dynamic, hyperintelligent IoT deployments. Four hot-swappable NVMe trays offer the reflexive data support for complex AI and machine learning applications. The first-of-its-kind solution grants data immediacy to maximize GPU throughput for more holistic AI and machine learning in trying industrial settings
Rugged Edge Computer
Rugged edge computers are ideal for edge deployments needing IoT integration and real-time data analytics in harsh usage conditions. Featured in deployments for agriculture technology, in-vehicle computing, factory automation and advanced security.
Military And Defense
In-Vehicle Fanless Computer
In-vehicle fanless computers are built for edge computing applications needing to integrate with the CAN bus sensor network of a transport vehicle. Specifically designed for in-vehicle applications, these edge computers feature high shock and vibration resistance, lockable M12 connectors and power ignition management.
Industrial GPU Computer
Industrial GPU computers are designed for computation intensive applications in rugged environments. They are ideal for advanced machine vision, image processing, facial recognition, intelligent control or machine learning.
Fast Response Time
Reduce Network Traffic
Less Cloud Reliance
Accelerate Control Time
IP65/IP67 Waterproof Computer
The WCO series are ideal for deployments where risk of water exposure is constant such as food processing, outdoor digital signage, water treatment plants, natural resources, healthcare and military and defense.
According to Gartner, a leading IT research company "estimates that by 2025, 75% of data will be processed outside the centralized data center or cloud."
What is an Edge Computer?
A edge computer is a computing platform physically located at or near the source of data generation. Compared to the traditional cloud computing, edge computers benefits business operations with faster and more efficient services by processing data on-site without having to send it through the cloud network. This results in real-time decision making and less bandwidth latency for time-sensitive applications. As edge computing expands into more challenging environments, it is necessary to ruggedize the system for successful deployments. Rugged edge computers are key factors in enabling future technologies in industrial automation, smart cities, healthcare, natural resources, defense and telecommunications. Learn more about Edge Computing
5 Key Features Of Edge Computing
Access to Wifi, 4G LTE, Bluetooth and future 5G networks including GPS/GNSS location tracking allows more flexibility and possibilities for devices to gather important data points for new IoT Technologies
Mobility and Remote Deployment
Capability to be deployed in various mobile and remote locations decentralized from resources in the cloud.
Increase in processor performance, GPU based inference analysis, and large capacity data drives to manage local analytics without having to move data over the network to the cloud
Variety of I/O Ports and PCIe and PCI Expansion Slots
Capability to connect to various legacy and modern devices for data gathering in analog and digital IoT signals.
Ruggedness and Hardware Security
Protections against environmental elements and factors that are harmful to sensitive computer components. Edge computers feature fanless designs, wide operating temperatures, wide voltage input ranges and high shock and vibration resistance