Use Azure Machine Learning with no extra cost. Charges apply only for the underlying compute resources utilized during model training or inference. You have the flexibility to select from a diverse range of machine types, spanning categories such as general-purpose CPUs and specialized GPUs.
Customers are innovating with Azure Machine Learning
“It’s been very valuable to us to work with Microsoft as we enhance and expand Pi because the reliability and scale of Azure AI infrastructure is among the best in the world.”
Mustafa Suleyman, Cofounder and Chief Executive Officer, Inflection AI?
“Our teams usually test [data], get results, and then use it to develop models and algorithms, which we then build into software products. This platform makes the entire process simpler, faster, and more streamlined.”
“Marks & Spencer has more than 30 million customers and large amounts of data that require systems that can scale to process it. Azure Machine Learning allows us to build machine learning solutions that can scale and give customers the right offers and better service overall.”
Luis Arnedo Martinez, Machine Learning Platform Product Manager, Marks & Spencer
“Microsoft Azure perfectly complements our digital ecosystem to help deliver the best possible fan experiences for the world's best sports league.”
Miguel ángel Leal, Chief Technology and Innovation Officer, LALIGA
“Using Azure Machine Learning, we can train a model on multiple distributed datasets. Rather than bringing the data to a central point, we do the opposite. We send the model for training to the participants’ local compute and datasets at the edge and fuse the training results in a foundation model.”
Johan Bryssinck, AI/ML Product and Program Management Lead, Swift
The SLA for Azure Machine Learning is 99.9 percent uptime.
Azure Machine Learning studio is the top-level resource for Azure Machine Learning. This capability provides a centralized place for data scientists and developers to work with all the artifacts for building, training, and deploying machine learning models.
Azure Machine Learning is a comprehensive machine learning platform that supports language model fine-tuning and deployment. Using the Azure Machine Learning model catalog, users can create an endpoint for Azure OpenAI Service and use RESI APIs to integrate models into applications.
There's no additional charge to use Azure Machine Learning. However, along with compute, you will incur separate charges for other Azure services consumed, including but not limited to Azure Blob Storage, Azure Key Vault, Azure Container Registry, and Azure Application Insights.?See pricing details.
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