By having IT operators manage the clusters, data scientist do have to know much about Kubernetes and thus can focus on models and work with tools such as the Azure Machine Learning Studio, Azure ...

Burns is definitely optimistic about the future of Kubernetes on Azure, ... Mobile, and Edge: Building Intelligent Apps with Azure Cognitive Services and Machine Learning. More from this author.

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 ...

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.

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 ...

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 ...

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 ...

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 ...