From image correction and enhancement to number plate recognition, facial recognition, machine vision-based factory automation, proximity to compute can significantly improve performance. As image resolution continues to increase and complex systems assume real-time response, many applications can not tolerate the transit times and throughput constraints associated with connecting with a small number of public cloud regions from all over the world.
The Ridge Cloud offers points of presence worldwide, ensuring that workloads are processed rapidly and reliably. Highly distributed cloud infrastructure obviates the need for on-premises deployments of hardware, reducing operational complexity, and enabling a cloud services business model.
If your existing deployment is undersized and cumbersome, Ridge Cloud can bring your infrastructure up to speed seamlessly. If you are designing a new image processing system from scratch, you can use Ridge to optimize for massive distribution so that your resources are absolutely everywhere. All of this means that you can shift these systems’ operational burden from your customer’s IT department to a global public cloud.