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 ...

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 ...

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.

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.

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 ...

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

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 ...

Microsoft is adding some new incremental features to its hybrid Azure Stack Hub platform, and it's continuing its Azure Arc unified management push at Build 2020.

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 ...

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 ...