Azure Machine Learning

Use an enterprise-grade service for the end-to-end machine learning lifecycle.

Overview

Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps. You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.

Key Resources

Homepage: https://learn.microsoft.com/azure/machine-learning/
Pricing: https://azure.microsoft.com/pricing/details/machine-learning/
SLA: https://azure.microsoft.com/support/legal/sla/machine-learning-service/
Newsfeed: RSS

News

Date News
2/23/2024
Dr. Wolfgang De Salvador - EMEA GBB HPC/AI Infrastructure Senior Specialist Dr. Kai Neuffer - Principal Program Manager, Industry and Partner Sales - Energy Industry   Resources and references...
2/1/2024
Azure Machine Learning model monitoring is now generally available.
1/24/2024
Using Azure Load Testing to test Multi-Tenant services This article describes how to use Azure Load Testing to test a multi-tenant service based on Azure App Service. It also describes how to run...
1/24/2024
Load Testing Azure Event Hubs services with restricted public access   This article describes how to use Azure Load Testing to test a service based on Azure Event Hubs with a restricted public...
1/16/2024
  Introduction   GenAI applications are those that use large language models (LLMs) to generate natural language texts or perform natural language understanding tasks. LLMs are powerful tools...
11/21/2023
Three big events – .NET Conf, Microsoft Ignite, and GitHub Universe – took place in November and we’re highlighting news, announcements, and sessions from those events. .NET 8 is now generally...
11/15/2023
Three features now available in public preview enable you to choose which models/datasets are right for you without having to run any job, seamlessly read/write data from a Fabric datastore; and...
11/15/2023
Five features now available in GA enable you to search thousands of OSS LLMs, provide a feature set specification and let the system handle the rest, and lower. compute management overhead and...
11/13/2023
Microsoft Ignite starts November 15th. Register now to attend virtually.   Microsoft Ignite, the annual conference where developers can dive deep with the latest Microsoft technologies including...
10/27/2023
  Come visit Microsoft at Supercomputing 2023 (SC23) November 12 – 17 where we’ll deep dive into high-performance computing (HPC) and AI solutions during an exciting week of sessions, hands on...
10/16/2023
Three features now available in GA enable you to streamline your network isolation experience, deploy your model locally prior to production, and automate the ML lifecycle without accruing extra...
10/16/2023
Four features now available in Public Preview enable you to customize your compute instance experience by using curated or custom environments, collect all model dependencies in a single...
10/6/2023
The Explanation and Fairness Dashboard will be retired on 14 March 2025, please transition to the Responsible AI Dashboard (generally available) by that date.  The Responsible AI dashboard will...
9/14/2023
Three new features now available in Public Preview enable you to utilize vision-based models in the model catalog, enjoy seamless integration with LLMOps through the Prompt Flow SDK/CLI and VS...
8/16/2023
Two new features now available in PuPr enable you to work with improved data size and model support and generate a default Responsible AI dashboard for the best AutoML model.
7/24/2023
Azure Landing Zones provide a solid foundation for your cloud environment. When deploying complex AI services such as Azure OpenAI, using a Landing Zone approach helps you manage your resources...
7/19/2023
New features now available in Public Preview enable you to create AI workflows that connect to various language models and data sources and use prompt flow and Azure OpenAI models to build LLM...
7/19/2023
A new feature now available in GA enables you to create compute clusters in locations that are different from the location of the workspace.
6/19/2023
Table of Contents Abstract Introduction Target audience Solution overview Solution technology Cloud resources and services requirements Software requirements Distributed ML training for lane...
6/13/2023
New feature now available in Public Preview enables you to view job statuses without unnecessary compute cost accrual.