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Showing posts with the label cloud-native

Deploying Kubeflow everywhere: desktop, edge, and IoT devices

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Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! ? Data science workflows on Kubernetes Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow Cloud-native MLOps toolkit gets heavy To make Kubeflow the standard cloud-native tool for MLOps within the AI landscape, the open-source community has accomplished the aggregation and integration of many projects on top of Kubernetes. Unfortunately, this notable accomplishment also has a downside. Deploying Kubeflow on your laptop or edge device has become impractical. The very minimum memory necessary to deploy the full Kubeflow bundle is 12Gb of RAM. On top of that, it is Linux-based. This means that on Windows and macOS you need to allocate 12+ Gb of memory to a Linux VM. Last time I tried, my 16Gb of RAM MacBook Pro did not like the idea. Kubeflow lite to experiment on ...

MTS selects OpenStack and Canonical for next-generation cloud infrastructure

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5th November, 2020: MOSCOW, Russia – MTS (NYSE:MBT; MOEX:MTSS), Russia’s largest mobile operator and a leading provider of media and digital services, announces the selection of Canonical’s Charmed OpenStack to power the company’s next-generation cloud infrastructure. MTS plans to leverage Charmed OpenStack’s advanced lifecycle management capabilities and flexible cloud-native architecture to better enable multi-vendor and cross-platform integration. Serving over 77 million subscribers in Russia, MTS has chosen to partner with Canonical, the publisher of Ubuntu, to further its efforts in building out a full-fledged digital ecosystem based on an open source platform. The partnership is aimed at decreasing time-to-market and speeding up deployment of new services — including toward MTS’ expected future 5G deployment — as well as reducing the total cost of ownership (TCO) of cloud infrastructure. MTS also anticipates to enhance its core technology expertise and set up a competenc...