Overview

Canonical's data solutions provide enterprises with comprehensive open-source tools and infrastructure for managing data and deploying AI/ML models. Leveraging the Ubuntu operating system, Canonical's platform supports data scientists across the entire AI lifecycle—from development on workstations to scaling in edge and multi-cloud environments. The solution includes optimized infrastructure for big data analytics, secure and compliant AI software, and cost-effective pricing with no licensing fees. By integrating Kubernetes, GPUs, and other technologies, Canonical delivers an adaptable and unified platform for enterprises aiming to innovate with data and AI.

Features and Capabilities

• End-to-End AI/ML Lifecycle Support: Unified platform for development, deployment, and scaling of machine learning models.
• Full-Stack AI Infrastructure: Includes operating system, Kubernetes, and cloud integration for comprehensive support.
• Secure Open-Source Software: Rapid resolution of critical vulnerabilities for streamlined compliance.
• Multi-Cloud Flexibility: Compatible with hybrid, public, and private cloud environments, including AWS, Azure, and IBM Cloud.
• Optimized for GPUs: Infrastructure tailored to AI and machine learning use cases.
• MLOps Integration: Modular tools for workflow automation and large-scale deployments.
• Predictable Pricing: No software licensing fees; transparent, node-based costs.
• Edge Deployments: Scalable infrastructure extending from data centers to edge environments.
• Familiar Ubuntu Ecosystem: Seamless experience across workstations, servers, and clouds.
• Big Data Analytics: Tools for processing and analyzing large data volumes effectively.