Overview of Azure AI

What is Azure? Introduction

Introduction to Azure

Azure is Microsoft's cloud computing platform, a vast collection of integrated services that includes computing power, storage, databases, networking, analytics, and AI capabilities. Just as we established previously, that the cloud is essentially running your software on someone else's hardware, Azure provides the infrastructure, platform, and software services that make this possible at scale for non-technology focused individuals.

When researchers access Azure, they're connecting to one of Microsoft's global network of data centres. These data centres host the physical servers, compute hardware, and networking equipment that power your research computing needs.

Diagram showing how researchers connect to Azure data centres

Core Azure Services for Researchers

Virtual Machines (VMs)

  • On-demand computing power with your choice of operating system
  • Scale from small instances to GPU-accelerated powerhouses
  • Pay only for what you use, with the ability to shut down when not needed

Storage Solutions

  • Secure data management for both structured and unstructured research data
  • Built-in redundancy to protect your valuable datasets
  • Flexible access options to share with collaborators around the world

Azure ML Studio

  • Collaborative environment for developing machine learning models
  • Integration with popular frameworks like TensorFlow and PyTorch
  • Automated ML capabilities for researchers without extensive coding backgrounds

AI Services and Azure AI Foundry

  • Pre-built AI capabilities and custom model development
  • Tools for developing domain-specific AI assistants for research
  • Cognitive services for vision, language, and speech applications