Azure AI Foundry tools for changes to AI applications

Improving Azure’s AI infrastructure

Along with new software features, Azure is also adding more AI-specific infrastructure tools. AI applications hosted on Azure Container Apps can now use serverless GPUs for inference and scale Nvidia hardware to zero when not in use to help keep costs low. Other options increase container security to reduce risks associated with using LLMs on sensitive data, whether personally identifiable information or commercially sensitive data from line-of-business platforms.

Ignite is where Microsoft focuses on business software, so Azure AI is the right place to launch a developer product like Foundry. Azure AI Foundry is designed to embed AI across the entire software development lifecycle, from design and evaluation to coding and operations; It provides a common place where developers, AI experts, data scientists and business analysts can work together with tools to create the next. Creating AI applications.

With its agency AI applications, it’s clear that Microsoft thinks it’s time for businesses to move beyond the chatbot and use AI to reap the benefits of flexible, intelligent business process automation. Building on Azure AI Foundry and the Semantic Kernel, we can deliver the context-aware long-processing applications we want to build and ensure they are both reliable and compliant.