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Blog posts tagged
"MLOps"


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. ...


Canonical
26 July 2018

AI, ML, & Ubuntu: Everything you need to know

Cloud and server Webinar

AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. One of the joys that come with new developer trends are a plethora of new technologies ...


Canonical
18 April 2018

KubeCon + CloudnativeCon Europe 2018

Cloud and server Events

Date: May 2-4 Location: Copenhagen, Denmark Venue: Bella Center Copenhagen Booth: G-C05 The Cloud Native Computing Foundation’s flagship conference will be taking place in Copenhagen from May 2-4. It will cover Kubernetes, Prometheus OpenTracing, Fluentd, Linkerd, gRPC, CoreDNS, and other key technologies in cloud native computing. The Ub ...


James Donner
28 March 2018

What can you do with Kubernetes?

Cloud and server Webinar

This is the first webinar in our Kubernetes Month series! Speaker: Vinod Kumar Date/Time: April 4, 2018 at 12PM EST / 5PM GMT Need to get up to speed with Kubernetes? This webinar will give you the primer to the Kubernetes platform that you need. You’ve probably heard that Kubernetes is great technology, but have ...


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