OnLogic
Canvas Category Machinery : Operational Technology : IIoT
At OnLogic, we’re creating advanced, powerful, highly-configurable small form factor computers that thrive where others fail. We empower innovative companies around the world to solve their most complex technology challenges, making the seemingly impossible, possible. We’re a global industrial computer manufacturer that designs highly-configurable, solution-focused computers engineered for reliability at the IoT edge. Our systems operate in the world’s harshest environments, empowering our customers to solve their most complex computing challenges, no matter the industry.
Assembly Line
ZEDEDA and OnLogic Partner to Build Integrated Edge Computing Solution for Industrial Environments
ZEDEDA, the leader in edge management and orchestration, and OnLogic, a global leader in industrial computing hardware and solutions, announced a strategic partnership to launch OnLogic Powered by ZEDEDA. This offering combines OnLogic’s rugged, industrial-grade hardware with ZEDEDA’s cloud-native edge orchestration software, providing enterprises with a comprehensive platform to easily and securely deploy, manage and scale edge computing workloads. The companies are committing product and engineering teams to co-design a solution that will streamline edge computing deployments and accelerate time to value.
The OnLogic and ZEDEDA partnership addresses the growing demand for robust edge computing solutions in industrial environments. It enables customers to easily manage, monitor and update edge devices and application workloads, significantly reducing the time and cost associated with deploying and maintaining distributed edge infrastructure. The zero-trust security model begins in the factory and guarantees that devices haven’t been tampered with in transit.
What's Actually Inside a Fanless Industrial Edge Computer?
What is Spatial Computing?
Spatial computing uses cameras and sensors to create a digital model or digital twin of people, objects, machines, and the environments they’re in, to enable users to interact with them. Interaction and control in spatial computing often uses gestures, body movements and/or voice commands. Spatial computing combines, and builds upon, elements of virtual reality (VR), augmented reality (AR), mixed reality (MR) and digital twin technologies.
Spatial computing is a broad concept addressing the ways people and technology interact, but in this specific case it’s also the latest interface technology being promoted as the future of Human Machine Interface (HMI).
How to Leverage a GPU Server for AI and Automation Workloads
When it comes to automation workloads such as a SCADA system server, you can leverage an edge server with a GPU to process even more tags and connect more HMI clients than you previously could. Not only do these high performance edge servers offer you the ability to run SCADA solutions such as Inductive Automation’s Ignition platform, you also have the ability to enhance these applications further because of the increased GPU compute.
For example, you could take time series PLC tag data directly from the historian database and feed it into an AI driven predictive maintenance program taking advantage of the onboard GPU. That also has the added benefit of reducing cloud transmission costs and keeping confidential data on-site.
You also have the option for additional management tools such as creating a highly available Kubernetes cluster for critical operations.