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Blog posts tagged
"MLOps"

aymen frikha
24 March 2021

AI on premise: benefits and a predictive-modeling use case

AI Article

Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of Juju, a charmed Operator Lifecycle Man ...

Maciej Mazur
5 February 2021

AI in telecom: an overview for data scientists

Kubeflow Article

AI in telecom is more complicated due to regulatory and security requirements. With containers setting up an environment for data scientists is much easier. ...

Rui Vasconcelos
4 November 2020

Deploying Kubeflow everywhere: desktop, edge, and IoT devices

AI Article

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 Kubeflo ...

Rui Vasconcelos
28 October 2020

Kubeflow operators: lifecycle management for data science

AI Article

Canonical, the publisher of Ubuntu, releases Charmed Kubeflow, a set of charm operators to deliver the 20+ applications that make up the latest version of Kubeflow, for easy consumption anywhere, from workstations to on-prem, public cloud, and edge. > Visit Charmed-kubeflow.io to learn more. Kubeflow, the ML toolkit on K8s Kubeflow provid ...

Rui Vasconcelos
2 July 2020

Building Kubeflow pipelines: Data science workflows on Kubernetes – Part 2

AI Article

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Introduction Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involv ...

Rui Vasconcelos
24 June 2020

Demystifying Kubeflow pipelines: Data science workflows on Kubernetes – Part 1

AI Article

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase this method to produce ...

Rui Vasconcelos
26 May 2020

Kubernetes for Data Science: meet Kubeflow

AI Article

Deep Learning is set to thrive Data science has exploded as a practice in the past decade and has become an undisputed driver of innovation. The forcing factors behind the rising interest in Machine Learning, a not so new concept, have consolidated and created an unparalleled capacity for Deep Learning, a subset of Artificial Neural ...

Eduardo Aguilar Pelaez
2 March 2020

Kubeflow 1.0 launches

AI Article

Kubeflow 1.0 has been released today and Canonical would like to take this opportunity to congratulate the community for their hard work and leadership (link). What is Kubeflow? Kubeflow is an open source artificial intelligence / machine learning (AI/ML) tool that helps improve deployment, portability and management of AI/ML models. This ...

Carmine Rimi
8 July 2019

Machine Learning: serving models with Kubeflow on Ubuntu, Part 1

Cloud and server Kubeflow

This article is the first in a series of machine learning articles focusing on model serving. I assume you’re reading this article because you’re excited about machine learning and quite possibly Kubeflow as well. You might have done some model training and are now trying to understand how to serve those models in production. There ...

Carmine Rimi
20 May 2019

Kubeflow at KubeCon Europe 2019 in Barcelona

AI Article

Kubeflow, the Kubernetes native application for AI and Machine Learning, continues to accelerate feature additions and community growth. The community has released two new versions since the last Kubecon – 0.4 in January and 0.5 in April – and is currently working on the 0.6 release, to be released in July. The key features in ...

Canonical
7 March 2019

Canonical at NVIDIA GTC 2019

Cloud and server Article

Canonical will be attending Nvidia’s GTC Conference in San Jose, California March 18 – 21, 2019. ...

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