Capabilities of the Pratexo Studio

Sample screenshot of the Pratexo Design Studio showing an architectural design for edge nodes and micro clouds for a smart electrical grid:

Pratexo Studio

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Modes of Edge Computing
Supported by Pratexo

Stand Alone Edge Computing
Stand Alone Edge Computing
  • IoT devices connect to individual edge nodes
  • Nodes communicate and coordinate directly with centralized systems
Advantages
  • Security
  • Latency
  • Privacy/Compliance

  • Cost Reduction

Distributed Edge Computing
Distributed Edge Computing
  • Nodes share the compute load between them – forming a local micro cloud
  • IoT data streams are shared across the micro cloud
Advantages
  • Reliability
  • Scalability
  • Data Democratization

Swarm Edge Computing
Swarm Edge Computing
  • Ad-hoc connections between nodes based on real time situational needs
  • May or may not be distributing the computing load between the. nodes
Advantages
  • Flexibility
  • Efficiency

Pratexo Micro Clouds Enable the Disconnected Edge

Enabling the Disconnected Edge
  • Industrial systems may be occasionally or permanently disconnected from central systems or the public Internet
  • Software and ML models at the edge must still be installed, maintained, enhanced
Disconnected EdgeConnected Edge

Applications and analytics hosted on Pratexo micro clouds continue to run, even if they are disconnected from central servers or clouds.

For more information, download the Pratexo White Paper
Download White Paper