Certain conventional compute solutions are restricted to resources present in the networking hardware (e.g., routers/switches). However, increasing numbers of edge compute workloads are demanding special requirements with Graphical processing unit (GPU)/tensor processing unit (TPU) support, various in-built Internet of Things (IoT) protocol requirements, high system resources, etc. The techniques presented herein address the market of those specialized edge compute workloads while also extending IoT container orchestration to off-the-shelf devices.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.