Shooting The Machine Learning Rapids With Open Source
There are a lot of different kinds of machine learning, and some of them are not based exclusively on deep neural networks that learn from tagged text, audio, image, and video data to analyze and sometimes transpose that data into a different form. …
Shooting The Machine Learning Rapids With Open Source was written by Timothy Prickett Morgan at .
When full composability is achieved, data centers will be defined by the needs of applications. This will require simple, open, standards-based, and scalable solutions.
Contrail’s enterprise multi-cloud platform is integrated with Nutanix APIs to give enterprises better visibility into virtualized workloads. It also paves the way for more automation.
AirHop Communications joined the SK Telecom and TIP hosted accelerator center in Seoul to develop its self-organizing network platform for 5G NR use cases.
The application performance management (APM) platform provides native visibility into containers running on Kubernetes, Red Hat OpenShift, and Pivotal Cloud Foundry.
European test lab EANTC tested several SD-WAN vendors solutions and compared their scalability and performance.

Perhaps the biggest benefit of containers is that they can be managed by Kubernetes, which is a pre-defined operational model.