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Tag: Kubeflow

Lightweight Kubernetes Pushes Orchestrator to the Edge

Kubernetes, the evolving cluster orchestrator, has gone on a diet, stepping off the scales as a lightweight, resilient clustering tool that switches to autopilot once three or more nodes are clustered. The slimmed-dow Read more…

COVID Notebooks Aims to Speed Predictive Models

IBM’s new open source toolkit with AI extensions to the Jupyter notebooks data science development platform is being extended to a COVID notebooks platform designed to help analyze real-time data about the pandemic. Read more…

Growing Focus on MLOps as AI Projects Stall

As a growing percentage of enterprise AI projects stall, data science platform vendors are teaming with cloud and data management specialists to move AI projects from the model-building stage to production workloads. Read more…

IBM Extends Jupyter Notebooks for AI Development

IBM has released a new open source toolkit with AI extensions to the popular Jupyter Notebooks data science development platform. The Elyra AI Toolkit extends the industry standard JupyterLab user interface with the g Read more…

Kubeflow Emerges for ML Workflow Automation

Many data scientists today find it burdensome to manually execute all of the steps in a machine learning workflow. Moving and transforming data, training models, then promoting them into production – all of it requires Read more…

Intel Unveils Nauta, a DL Framework for Containerized Clusters

Intel today unveiled Nauta, a new distributed computing framework for running deep learning models in Kubernetes and Docker-based environments. The chip giant says Nauta will make it easier for data scientists to develop Read more…

Google Ups its AI Game

Google Cloud is rolling out an “AI Hub” supplying machine learning content ranging from data pipelines and TensorFlow modules. It also announced a new pipeline component for the Google-backed Kubeflow open-source pro Read more…

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