A comprehensive set of AI services aimed at developers and data scientists. With Azure AI, you can build and deploy your own AI solutions based on decades of breakthrough research, responsible AI practices, and flexibility. Make use of high-quality vision, speech, language, and decision-making AI models with simple API calls, and create your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code, and open-source frameworks such as TensorFlow and PyTorch.
Specialized AI services for specific business scenarios
The use of AI in business can be a powerful tool for modernizing processes.
Launch solutions in days, not months, with built-in business logic.
With cloud-based and intelligent edge security, you can run responsibly anywhere.
A comprehensive family of customizable cognitive APIs for vision, speech, language, and decision making
AI models with the most comprehensive portfolio of AI capabilities, including OpenAI models, are easily accessible.
Create confidently with the first AI services that achieve human parity in computer vision, speech, and language.
With containers, you can deploy anywhere from the cloud to the edge.
Make your own unique solutions and get started quickly.
An end-to-end platform for building, training, and deploying machine learning models
Choose from Jupyter Notebook, drag-and-drop designer, and automated machine learning tools to develop your project.
Utilize automated and reproducible machine learning workflows to build and deploy models at scale.
With built-in responsibility capabilities, you can understand, protect, and manage data, models, and processes responsibly.
Take advantage of the best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
Advanced, large-scale AI infrastructures and innovative training tools
Take advantage of large-scale infrastructure with hyper-clusters containing thousands of state-of-the-art GPUs, interconnected with the latest high-bandwidth networks inside every server, to accelerate AI.
The Azure Arc-enabled Kubernetes platform enables hybrid and multi-cloud deployments.
With specialized hardware, such as FPGAs, GPUs, and general-purpose CPUs, you can access the most comprehensive AI hardware portfolio.