Wiredgorilla

According to leading independent researchers teknowlogy | PAC, open source platforms – and Kubernetes in particular – are central to the future of digital factories.  The PAC RADAR report offers a detailed market analysis of industrial digitalisation trends, and it predicts that Kubernetes-based platforms that bring together edge and cloud technologies will soon dominate the digital factory landscape. This blog will take a closer look at the report’s findings, and examine why Canonical was rated Excellent for industrial edge cloud through the strength of Charmed Kubernetes, MicroK8s and Ubuntu Core. “Kubernetes will be the next big thing at the edge” In recent years, various platforms have emerged to support agile digital factory DevOps, but most industrial edge platforms have been held back by limitations to application scaling and management – and this is where Kubernetes at the edge comes in. Kubernetes is a container orchestration system. Containers make it possible to ...

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 ...