Open source on Azure

Innovate rapidly using cloud-native architectures. Modernize apps faster with a fully managed Kubernetes service. Build apps without provisioning and managing infrastructure using Azure Functions. Combine fully integrated DevOps capabilities and microservices to increase agility.

Focus on building apps, not managing databases, with fully managed open-source databases. Effortlessly process massive amounts of data with Azure HDInsight, an easy, cost-effective service for open-source analytics.

Accelerate model training and inference using Azure Machine Learning—with built-in support for popular open-source frameworks such as PyTorch on Azure, ONNX Runtime, and DeepSpeed. Use foundation models in Azure Machine Learning to fine-tune and deploy large language models from multiple open-source repositories, including Hugging Face. Assess and evaluate the fairness, transparency, and explainability of AI models with the responsible AI dashboard and open-source toolkits.

Take advantage of the latest OpenAI and open-source foundation model advancements in your apps. Easily orchestrate templated prompts alongside native code to engineer more deterministic outcomes. Build smart and save time with prebuilt plugins and planner examples in multiple languages.

Build, test, and deploy the code from your GitHub repository to Azure to create reliable and more secure applications faster—and distribute them globally. Save time by automating the release pipeline through continuous integration and continuous deployment (CI/CD). Create automated workflows with native support for common scenarios—such as containerized applications on Azure Kubernetes Service (AKS), websites on Azure App Service, relational data on Azure SQL Database, or event-driven applications on Azure Functions—all with GitHub Actions for Azure.