Capabilities of the Pratexo Studio

Short video showing the rapid design and deployment of a virtual power plant including edge nodes and a micro cloud running locally:

For a deeper dive, download the new White Paper:
Architecting Edge Solutions Using Pratexo

Modes of Edge Computing
Supported by Pratexo

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

  • Cost Reduction

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

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
  • Flexibility
  • Efficiency

Micro Clouds at the Electrification Edge

Micro Clouds at the Electrification Edge

Benefits of Pratexo Micro Clouds at the Electrification Edge

  • Resilient, Scalable, and Elastic

    All the advantages of central clouds – but at the local edge

  • Real Time, Secure, and Private

    Minimize the cost, exposure, and lag of distant clouds

  • Disconnected Operation

    Apps and analytics can operate even if disconnected from central systems

  • Agility and Innovation

    Rapidly add apps and analytics over time and break data silos

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.

When to Use Pratexo

Pratexo micro clouds are likely to be required in any of the following scenarios: