Topic: kubeflow

Charmed Kubeflow 1.7 adds support for serverless ML workloads

Canonical, the publishers of the Ubuntu operating system, have announced the latest version of Charmed Kubeflow, its open-source MLOps platform. Charmed Kubeflow 1.7 adds the ability to run serverless ML workloads, which increases developer productivity by reducing routine tasks and handling infrastructure for them. Another win for developers is that new dashboards will improve user … continue reading

SD Times Open-Source Project of the Week: Kubeflow

Kubeflow is an MLOps toolkit originally created by Google that has integrated components for model development, model training, multi-step pipelines, AutoML, serving, monitoring, artifact management, and experiment tracking.  The project aims to reduce costs associated with Running production machine learning workflows at scale with new capabilities. The PyTorch training operator can now be scaled up … continue reading

Ubuntu 18.04 focuses on security and AI improvements

Canonical has announced the release of its open-source Linux operating system, Ubuntu 18.04, which features security, multi-cloud, containers, and AI improvements. “Multi-cloud operations are the new normal” said Mark Shuttleworth, CEO of Canonical and founder of Ubuntu, in a statement. “Boot-time and performance-optimized images of Ubuntu 18.04 LTS on every major public cloud make it … continue reading

Kubernetes releases machine learning toolkit KubeFlow

The Kubernetes project has announced the creation of a new project called Kubeflow, aimed at solving some of the challenges of deploying complicated workloads. Kubeflow is designed to make it easier to use machine learning stacks on Kubernetes. Since it relies on Kubernetes to run, it can run anywhere that Kubernetes runs, making it easy … continue reading

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