Red Hat OpenShift Data Science managed cloud service allows data scientists to quickly develop, train, test and deploy machine learning models. Tune in to hear Christ Chase run through a tutorial demonstrating how easy it is to launch Jupyter notebooks to build a model in a TensorFlow framework and deploy the model in a container-ready format.
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Red Hat dévoile de nouveaux services de cloud gérés pour aider à stimuler les innovations en matière d applications natives du cloud, en réduisant la complexité et optimisant les investissements
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There is a new demand to run applications across different environments, whether it is bare metal, virtual machines, private-public cloud, edge computing, or even a combination of these.
This new demand is driving Red Hat Inc., a leader in open-source solutions for the enterprise, to create an open hybrid cloud strategy. In fact, Red Hat is already adding more fuel to the development of this technology.
“We’re donating more than half a billion dollars to open hybrid cloud research,” said Matt Hicks (pictured), executive vice president of products and technologies at Red Hat Inc. “And part of the reason is that running cloud native services is changing, and that research element of open source is incredibly powerful. We want to make sure that’s continuing. But we’re also going to evolve our portfolio to support this same drive.”
A tertiary OpenShift tier comes alongside three apps for businesses to build on their Kubernetes-based hybrid cloud strategy
Red Hat has launched an advanced tier of its OpenShift container application platform, with added tools designed to offer a complete Kubernetes stack out-of-the-box. This is in addition to launching three new managed cloud services.
Red Hat’s OpenShift Kubernetes Engine is the foundational layer of OpenShift, allowing customers to run containers across hybrid cloud deployments on the Red Hat Enterprise Linux (RHEL) OS. The OpenShift Container Platform adds developer and operations services, as well as advanced features for app development and modernisation.