All of the major cloud services now offer machine learning and deep learning development environments. On AWS, that’s primarily Amazon SageMaker, which I reviewed in May 2018.On the Google Cloud ...

Attackers recently hijacked powerful machine-learning clusters inside Microsoft’s Azure cloud-computing service so that they could mine cryptocurrency at the expense of the customers who rented ...

Azure Arc-enabled Kubernetes, which launched in preview last May, is now generally available. And a new offering, Azure Arc-enabled Machine Learning, is entering preview starting today.

Azure brings GitOps to Kubernetes at scale with a preview of its new application operations ... Building Intelligent Apps with Azure Cognitive Services and Machine Learning. More from this author.

Frameworks that the Azure Machine Learning Kubernetes native agent supports include SciKit, TensorFlow, PyTorch, and MPI. The native agent smooths organizational gears, too.

Recently, Microsoft's Azure cloud experienced a similar situation, this one concerning misconfigurations from lazy users of the Kubeflow machine learning platform used with Kubernetes, the wildly ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

Users can deploy Azure Machine Learning to target any Kubernetes cluster for model training--whether it be located on-premises, in multi-cloud or at the edge, the company said.

This will allow users to run their machine learning (ML) training on Kubernetes clusters running in Azure, Google Cloud Platform (GCP), Amazon Web Services (AWS), in edge devices, and on-premises ...

Specifically, the attackers targeted Kubeflow, a machine learning platform for working with Kubernetes, the popular container orchestration system. "Kubeflow is an open-source project, started as a ...