Barbara platform release 3.0.0: From Legacy to Full Edge AI - VMs and Stronger AI Native Integration Now Available

Go Beyond Containers: Deploy Virtual Machines on Edge Nodes^*

As a user, there are certain legacy applications, compatible with certain Operating Systems only, that you may want to keep using in your edge devices. Now you can! Barbara now enables the deployment of full virtual machines (VMs) on edge nodes, supporting:

• Windows XP – Maintain and operate legacy industrial software with modern orchestration.
  
  
• Windows 10 – Deploy modern Windows-based applications on your edge nodes.
  
  
• Ubuntu – A lightweight and powerful Linux environment for edge computing needs.
  

This revolutionary feature allows industries to modernize their infrastructure without abandoning critical legacy software, providing seamless integration of old and new technologies within the Barbara ecosystem.

Experience a Stronger Edge AI Infrastructure

On this new version, Barbara includes a set of powerful improvements that will make your Edge infrastructure fully integrated with your AI strategy:

Deploy Any AI Model: New Model Frameworks Supported

Barbara continues to push the boundaries of AI at the edge by expanding its model framework support. With the addition of Scikit-Learn and XGBoost, our platform now supports five of the most widely adopted AI frameworks in the industry:

• TensorFlow – A robust and scalable deep learning framework.
  
  
• PyTorch – A flexible and efficient framework for AI research and production.
  
  
• ONNX – A powerful open format for AI model interoperability.
  
  
• Scikit-Learn – The go-to choice for traditional machine learning applications.
  
  
• XGBoost – A high-performance gradient boosting framework for structured data.
  
  

With these additions, Barbara empowers users with the flexibility to deploy the best AI model for their needs, ensuring seamless edge computing performance across various industries.

Choose your Inference Engine: MLflow now available

Deploying AI models at the edge has never been easier! Barbara now integrates MLflow, one of the most advanced machine learning lifecycle platforms, into its suite of inference engines. Users can now leverage:

• TFX – Ideal for high-performance TensorFlow model serving.
  
  
• Triton – A powerful inference server optimized for large-scale AI applications.
  
  
• MLflow – A versatile framework designed to simplify and streamline model deployment.
  
  

With MLflow integration, Barbara enables organizations to standardize, track, and deploy AI models more efficiently, ensuring that their edge AI solutions are always running at peak performance.

Monitor your Models Running at the Edge

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In combination with this new version of the platform, we have launched “ML Monitoring”, a new app available in Barbara Marketplace that unlocks unprecedented real-time visibility into the performance of your AI models. This app provides critical insights, including:

• System resource usage, ensuring models operate efficiently without straining hardware.
  
  
• Inference performance metrics, enabling optimization for faster decision-making.
  
  
• Automated retraining triggers, ensuring models remain accurate over time.
  
  

With ML Monitoring, businesses can proactively manage their AI deployments, reducing downtime, optimizing resource utilization, and improving model reliability.

Get More Control on your Network: IP Tables Configuration now supported^*

Take full control over your edge network with Barbara’s enhanced IP Tables configuration. This new feature allows users to:

• Define custom firewall rules, ensuring secure and efficient communication between nodes.
  
  
• Manage traffic flow, optimizing performance across distributed environments.
  
  
• Enhance security, restricting unauthorized access and minimizing potential vulnerabilities.
  
  

With Barbara’s advanced networking capabilities, businesses can create secure, scalable, and efficient edge computing infrastructures tailored to their specific needs.

A Straightforward and Easy-to-use Interface: New UI/UX Improvements

Application View Redesign

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Navigating through your applications is now more intuitive than ever. The redesigned application list in the Barbara Panel’s Library offers:

• A cleaner, more organized interface for quick access.
  
  
• Enhanced filtering and search functionalities for efficiency.
  
  
• Improved visual hierarchy, making application management seamless.
  
  

AI Model View Redesign

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Managing AI models should be as simple and efficient as deploying them. The updated AI model view includes:

• A refreshed UI, making it easier to find and manage models.
  
  
• Better categorization and sorting options, enabling rapid navigation.
  
  
• A more intuitive layout, streamlining AI workflow management.
  
  

Additional Enhancements

• Real-Time Edge Node Status: The edge node list now features an intuitive real-time status indicator, offering users immediate visibility into node health and performance.
  
  
• Streamlined Application Updates: The Application Wizard now showcases applied configuration settings during updates, ensuring a smoother, error-free update experience.
  
  
• Strengthened Security: A comprehensive security update has been implemented to safeguard against vulnerabilities, ensuring a secure and resilient environment.
  
  
• Bug Fixes & Performance Boosts: Minor issues have been resolved, driving improved stability and optimized performance across the platform.

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^* To enjoy this new feature, you must update the firmware of your edge node to the latest available version.