How To Migrate Intelligence From the Cloud To Embedded Devices At the Edge

August 21, 2019 //By arm
How To Migrate Intelligence From the Cloud To Embedded Devices At the Edge

Read this white paper to learn:

  • How Arm and its partners are enabling a step-change increase in edge compute capability, whether that’s microcontrollers or multicore gateways
  • How to provide a unique combination of compute scalability, power efficiency, determinism, and interface options
  • How to do the tactical action-taking away from the center, relieving pressure on bandwidth, increasing security, reducing latency and improving reliability
Traditionally, decision making has been concentrated in the cloud, at the center, moving all the data and intelligence inwards. This places huge strain on the technical and commercial model of the network. Therefore, we need to deliberately shift much of the “thinking” to endpoint devices on the field, leaving the central systems to make longer-term strategic decisions
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