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Blog posts tagged
"Kubeflow"


amber-charitos
21 April 2021

Deploying Mattermost and Kubeflow on Kubernetes with Juju 2.9

Charms Article

Since 2009, Juju has been enabling administrators to seamlessly deploy, integrate and operate complex applications across multiple cloud platforms. Juju has evolved significantly over time, but a testament to its original design is the fact that the approach Juju takes to operating workloads hasn’t fundamentally changed; Juju still provid ...


anastasiavalti
16 April 2021

KubeCon co-located events: Operator Day is back!

Kubernetes Article

RSVP What is Operator Day? Another KubeCon is just around the corner and, due to popular demand, we’re hosting Operator Day again! Designed for KubeCon, but free and open to all. Last year, thousands of you joined us to get hands-on training from Ubuntu’s experts, so this time around we’re making the workshop even more elaborate and inter ...


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 ...


Andreea Munteanu
5 March 2021

Code the future together using Ubuntu

Cloud and server Article

Where: CodeMotion 2021 – Italian edition When: March 23rd – 25th 2021 Location: virtual Italian space Get your ticket Described by the organisers as an event made by developers for developers, CodeMotion is an event that we love to attend. In November last year, we announced that Ubuntu wanted to code the future of Italy ...


Andreea Munteanu
11 February 2021

Can AI help redefine the future of finserv?

AI Article

The last few years has been a time of major disruption in the Finserv sector. Artificial Intelligence (AI) technology has emerged as an important tool for providers of financial products and services to deliver more personalised and more sophisticated services to customers faster. The financial services sector is at the beginning of an ex ...


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 ...


Andreea Munteanu
13 October 2020

Ubuntu wants to code the future of Italy

Ubuntu Article

When is CodeMotion Rome 2020: November 24th-26thLocation: virtual Italian spaceBooth: Canonical / Ubuntu Book a meeting In a year of challenges and changing times, the community gets closer and starts gathering in a different way.  From face to face meet-ups, we moved everything virtually and CodeMotion is not an exception. Made by develo ...


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 ...