Overview
Edge computing is a distributed computing paradigm that brings data processing and storage closer to the data source or edge of the network, rather than relying on centralized cloud systems. This reduces latency and improves response times, which is critical for real-time applications such as IoT devices, autonomous vehicles, and industrial automation.
Unlike cloud computing, where data is sent to remote servers for processing, edge computing allows for immediate data analysis near the point of origin. This results in faster decision-making and minimizes bandwidth usage, as less data needs to travel back and forth between devices and the cloud.
Edge computing is widely adopted in industries such as healthcare, manufacturing, and telecommunications, where timely data processing is essential. It is also highly scalable, allowing organizations to deploy additional edge devices as their needs grow. Moreover, it enhances security by processing sensitive data locally, reducing the risk of data breaches during transmission.
GAO Tek’s edge computing solutions deliver the performance, scalability, and security needed for mission-critical applications. With our products, businesses can optimize their data infrastructure for faster, more efficient processing. We provide expert support to help with deployment, ensuring smooth integration into existing networks.
Below are listed all of GAO Tek’s edge computing products.
4G Cellular IoT Router for Tunnel Remote Monitoring Modbus MQTT-GAOTek
4U Server With Excellent Computing Capacity – GAOTek
AI Intelligent Computing Empowerment Platform with 32CH Video Decoding -GAOTek
C8300-2N2S-4T2X Industrial Ethernet Router with 19.7 Gbps Throughput -GAOTek
Compact Dual-Core Edge Router with QoS, WiFi, Ethernet LAN, 256MB RAM-GAOTek
Compact Gigabit Router with 600Mbps 2.4G Wi-Fi, PoE & Dual-Core CPU-GAOTek
Compact Single Board Edge Computer with Rockchip RK3399, and 32GB eMMC -GAOTek
Computing Box With Android 12.0 – GAOTek
Desktop Industrial Server with Intel Core i Series, and Expansion Slots -GAOTek
Digital Signage And Displays Shelf Edge Cloud–Contrast Ratio 1200:1-GAOTek
Edge AI Box With Industrial Desktop PC – GAOTek
GAO Tek’s products of Edge Computing are organized as follows:
Device Edges
Device edge, often referred to as edge computing or edge devices, represents a computing paradigm that brings computation and data storage closer to the location where it is needed, improving response times and saving bandwidth. In this model, data is processed by the device itself or by a local computer or server, rather than being transmitted to a centralized data center. This approach enhances the performance and reliability of applications that require real-time data processing.
GAO Tek’s Device edge solutions play a crucial role in various applications. In industrial IoT, they enable real-time monitoring and control of machinery, improving operational efficiency and reducing downtime. In smart cities, edge devices process data from sensors in real-time to manage traffic, optimize energy usage, and enhance public safety. In healthcare, they allow for the immediate analysis of patient data from wearable devices, facilitating timely medical interventions. Additionally, in retail, edge computing supports personalized customer experiences and efficient inventory management.
Alternative names for Device edge include edge computing, edge devices, and edge nodes. These terms highlight the proximity of computational resources to the data source, underscoring the benefits of reduced latency, increased security, and enhanced data processing capabilities at the network's edge..
On-premises Edges
On-premises edge, also known as on-prem edge computing or local edge, refers to the deployment of edge computing resources within an organization's own physical infrastructure. This approach enables data processing and storage to occur on-site, closer to where the data is generated, rather than relying on remote cloud data centers. On-premises edge solutions provide lower latency, enhanced security, and greater control over data and computational resources.
GAO Tek’s on-premises edge solutions offer significant benefits across various applications. In manufacturing, they facilitate real-time monitoring and control of production lines, leading to improved efficiency and reduced downtime. In healthcare, on-premises edge computing supports the rapid analysis of medical data from diagnostic devices, enhancing patient care through timely interventions. In retail environments, local edge solutions enable personalized customer experiences and efficient inventory management by processing data from point-of-sale systems and sensors in real-time. Additionally, in smart buildings, on-prem edge computing optimizes energy management, security systems, and overall building operations.
Alternative names for on-premises edge include local edge computing, on-site edge, and private edge. These terms emphasize the deployment of computational resources within an organization's premises, highlighting the advantages of reduced latency, enhanced data privacy, and improved control over the IT infrastructure.
Data Center Edges
Data Center Edge, often referred to as edge data centers or micro data centers, represents a computing paradigm where smaller, distributed data centers are positioned closer to the end users and devices that generate and consume data. These edge facilities are designed to reduce latency and provide faster data processing, improving the performance and reliability of applications that require real-time or near-real-time interactions.
GAO Tek’s Data Center Edge solutions offer significant benefits across a range of applications. In telecommunications, edge data centers support 5G networks by providing local processing power for high-bandwidth, low-latency services such as augmented reality (AR) and virtual reality (VR). In retail, they enhance the customer experience by processing transactions and managing inventory in real-time, directly at the store location. In autonomous vehicles, edge data centers process vast amounts of sensor data locally, enabling faster decision-making and improving safety. Additionally, in smart cities, they facilitate real-time data processing for traffic management, public safety, and energy optimization.
Alternative names for Data Center Edge include edge computing data centers, edge facilities, and micro data centers. These terms highlight the deployment of computing resources closer to the source of data generation, emphasizing the benefits of reduced latency, improved data processing speed, and enhanced reliability for mission-critical applications.
Working with its sister companies, GAO RFID Inc. and GAO Research Inc. and with our corporate partners, GAO Tek Inc. is offering a comprehensive selection of Edge Computing. We have products in stock, and ship overnight to most parts of the U.S. and Canada. We provide 24/7 support. If you have any questions, our technical experts can help you. Please fill out this form or email us.