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And automatically loads the editor directory tree where we can choose any file to edit:
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More info here.
THINGS
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This platform distribution supports the development of IoT systems, both in the Cloud and Edge environments. |
Ansible-based deployment
The deployment of services in the field is a main pillar in node management. Therefore, new remote orchestration systems have been included, improving and extending the capabilities of Onesait Edge. Until now, remote deployment was based on the use of docker-compose as orchestrator of Edge services, in this release Onesait Edge incorporates deployment methods by updating the IoT agent (iota), allowing installation using Ansible.
Red Hat Operating Systems Certification
Worked with the Red Hat team to certify the deployment of Onesait Edge on their operating systems, both Cloud and Edge.
Deployment on Openshift:
The deployment of Onesait Edge on Openshift has been validated, making some changes with the Helm used in Kubernetes, adapting them to the peculiarities of Openshift, some of the images used have been modified for the use of systems certified by Red Hat (OpenJDK, Node.js, etc).
RHEL for Edge Support
Red Hat has a lightweight operating system for remote field deployment.
Onesait Edge has carried out the complete integration and validation with Rhel for Edge: installation of base image with IoT agent (iota), orchestration through Podman, hardware and software validation (specific programs, modems from different manufacturers).
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Field accelerators
The ability to perform complex operations in the field and implement artificial intelligence is an essential requirement for Onesait Edge, which is why the system has been integrated with Nvidia Jetson accelerators. Each Nvidia Jetson is a complete system on module (SOM) that includes GPU, CPU, memory, power management, high-speed interfaces, sensors, etc.
These Jetson machines are compatible with the most popular AI frameworks on the market: TensorFlow, PyTorch, Caffe, Keras, MXNet and with SDKs for new developments. This integration with Jetson systems allows Onesait Edge not only to execute more complex AI in the field, but also to evolve it.
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The equipment used was the Jetson Nano, whose main capabilities are:
NVIDIA CUDA® architecture: Maxwell™ GPU 128 cores
Quad-core ARM® Cortex® Cortex®-A57 MPCore CPU
AI: High performance AI computing with GPU processing
Ideal for smart city applications with perimeter AI
GbE 15W PoE support for cameras
DEMOS
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Here we tell you about the latest demonstrators we have developed on the platform, which have been used to show customers some of the platform capabilities. If you would like us to show you live some of these demos, do not hesitate to contact us to arrange a meeting with us at contact@onesaitplatform.com |
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