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Authors: Larry Carvalho, Stu Miniman, Marilyn Basanta, Muneyb Minhazuddin
2022-10-26

tldr - powered by Generative AI

The presentation discusses the challenges and solutions for deploying applications at the edge, with a focus on Edge native and data handling. The use of Kubernetes and OpenShift is highlighted as a way to achieve consistency across different environments.
  • The challenge of deploying applications at the edge is to have a consistent operational and management model across different environments
  • Edge native applications need to take into account the different attributes of the edge, such as data handling and networking
  • Efficient data handling at the edge is crucial, with the need to balance processing at the edge and sending training bits back to the central model
  • Kubernetes and OpenShift can provide consistency across different environments, with the use of single node OpenShift allowing for deployment in disconnected environments
  • The use of ML/AI, 5G networking, and hardware acceleration are improving the evolution of edge technology