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Take your models to production with open source AI Build enterprise-grade AI projects with secure and supported Canonical MLOps. Develop on your Ubuntu workstation using Charmed Kubeflow or Charmed MLFlow and scale up quickly with open source tooling in every part of your stack.

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Product details

Overview

Ubuntu's AI/ML solutions provide a robust and flexible platform designed to accelerate artificial intelligence and machine learning development. With tools like Charmed Kubeflow, NVIDIA AI Workbench, and integration with MLOps frameworks, Ubuntu delivers scalability, security, and simplicity for AI-driven innovation. Leveraging Canonical's Long-Term Support (LTS) and Ubuntu Pro, the solutions ensure a secure and optimized environment for deploying AI workloads across cloud, edge, and on-premise infrastructures. Ideal for enterprises, Ubuntu simplifies building, training, and deploying AI models at scale, catering to developers and organizations worldwide.

Features and Capabilities

  • Comprehensive AI Development Tools: Includes Charmed Kubeflow and NVIDIA AI Workbench for seamless AI workflows.
  • MLOps Integration: Offers compatibility with Kubeflow, MLflow, and CI/CD pipelines for model lifecycle management.
  • Cross-Platform Scalability: Supports cloud, edge, and on-premises environments with optimized configurations.
  • Enhanced Security: Leverages Ubuntu Pro for extended security updates and compliance features.
  • High-Performance AI Hardware Support: Optimized for NVIDIA DGX and similar hardware.
  • Simplified AI Deployment: Enables streamlined deployment of generative AI and machine learning applications.
  • Open-Source Solutions: Built on open-source frameworks to ensure transparency and flexibility.
  • LTS Support: Offers up to 10 years of support with Canonical's expertise in maintaining stability.
  • Custom Consulting Services: Provides tailored solutions for enterprise AI/ML needs.
  • Developer-Friendly Environment: Features tools and documentation to support AI/ML developers at all levels.