Introducing Azure Percept The question is how to build and deploy a safety-oriented machine learning system quickly?

Developers can now build, test, and deploy applications powered by OpenAI’s gpt-oss models within the AI development platform ...

To spot faults quickly even if they take a month to show up, Azure feeds signals into a machine learning system: in the future, you will be able to do that for your own cloud workloads.

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

Microsoft debuts ND H200 v5 VMs in Azure ML, powered by NVIDIA H200 GPUs for faster AI training, larger models, and high-scale inference.

With the medical sector facing many challenges, Microsoft Azure offers a support network that can help teams plan for a ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

Available through Azure Machine Learning Services, Hugging Face Endpoints allows customers to tap Hugging Face models with a few clicks or lines of Microsoft Azure SDK code.

At its ongoing Ignite 2022 conference, Microsoft announced a bunch of new capabilities for its Azure cloud service and has also launched an employability program with LinkedIn integration.

Microsoft today introduced the ND H100 v5 VM on the Azure cloud, a virtual machine for development generative AI applications. The VM can scale from eight - Read more from Inside HPC & AI News.

At that time, Microsoft made available a preview of Azure Machine Learning Hardware Accelerated Models powered by Brainwave in the cloud -- a first step in making FPGA processing for AI workloads ...

Microsoft is integrating Nvidia’s AI Enterprise software suite with its Azure Machine Learning service to help enterprise developers build, deploy, and manage applications based on large ...