5G EDGE COMPUTING
MEC or Multi-access Edge Computing means delivering resources close to the end-user and device endpoints. 5G + MEC provides low latency, high bandwidth, device processing, and data offloading capabilities with efficiency.
Our Edge Intelligence Server establishes wired and wireless edge-to-cloud connectivity while providing protocol conversion, edge intelligence, and equipment status management dashboard. This solution facilitates data visualization, remote monitoring, alarm notification, and asset management.
Our all-in-one platforms with an open standard structure have Kubernetes built-in, platform management software, and self-health management. Our servers facilitate IoT connectivity, light edge analytics, and cloud integration, thus simplifying IIoT application deployment, visualization, and predictive maintenance for IIoT applications.
Data security
Zero downtime
Low latancy
High bandwidth
Cost Efficiency
ABOUT
Powering Organizational Sustainability with Real-time lnsights on data
At EDGEvGO, we build and deploy Edge AI solutions to connect people, places, and things faster. Our leading-edge software, hardware, and services have been at the cutting edge of installed computing and innovative technology for over 25 years, helping you to remain competitive.
Data is created at the edge; hence, using AIoT, the intelligence and action all occur in the same location. This is important because some applications can’t spare the time to wait for data to go back and forth to the cloud. If the data doesn’t need to travel anywhere, prompter responses can be delivered. 5G makes this far more maintainable but not fundamentally fast enough for applications like autonomous vehicles or medical devices.
We are offering a combination of hardware and software services programmed with your existing platform. Manageable and scalable with a simple click. Keeping your platform – Faster, smarter, cheaper, and more reliable. Future-proofed by design and Scalable at the push of a button.
We at edgevgo enable you to
measure
energy usage
LIVING ON THE EDGE
Why On-Device ML is Here to Stay
Advances in Machine Learning mean that more processing and preprocessing can now be done on-device than ever before. There are notable benefits for doing so, especially the sizable cost and power savings. Sending the world’s data back and forth to the cloud doesn’t come cheap, and the more data you share, the more costly it becomes – so the more processing done on-device, the better.
Data Is More Valuable at the Edge
IoT sensors are already generating massive amounts of data, the volume of that data is set to grow exponentially. Much of that data is remarkably valuable in the seconds after it is created – especially in emergencies – but would lose a lot of its worth transported to the cloud and back. Edge processing can provide the near-instant intelligence needed to make swift decisions to avert a crisis quickly.
Edge Compute in our Hands
The edge is where we live, work, learn, and relax. As edge devices become more intelligent, more robust, and increasingly capable, real-time decision-making will increase – unhindered by latency and, in many cases, connectivity. This will enhance our lives in countless – as yet unthinkable – ways, unleashing a new generation of smart, edge-based applications that drive performance, reduce cost and bandwidth, and safeguard our privacy.