Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close
Thank you for contacting us. A member of our team will be in touch shortly. Close
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 ...
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 ...
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 ...
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 ...
Well, here it is! Ubuntu is the world’s most popular open-source desktop operating system, and we think this is our best release to date. Ubuntu 20.04 LTS is an enterprise-grade, secure, cost-effective operating system for organisations and home users. Before I summarise the changes in this release, let’s address something I’ve seen discu ...
AI/ML model training is becoming more time consuming due to the increase in data needed to achieve higher accuracy levels. This is compounded by growing business expectations to frequently re-train and tune models as new data is available. The two combined is resulting in heavier compute demands for AI/ML applications. This trend is set t ...
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 ...
KubeCon San Diego 2019 was a blast; lot’s of sun, beer, food, amazing projects and learning opportunities! It was great to see the community come together for the love of all things Kubernetes. The Canonical booth was buzzing with excitement around MicroK8s, Multipass and Kubernetes clustering on that DIY Raspberry Pi clusters running Ubu ...
Leveraging Kubernetes for AI deployments is becoming increasingly popular. Chances are if your business is involved in AI/ML with Kubernetes you are using tools like Kubeflow to reduce complexity, costs and deployment time. Or, you may be missing out! With AI/ML being the tech topics of the world, GPUs play a critical role in the ...
17th October 2019: Canonical today announced the release of Ubuntu 19.10 with a focus on accelerating developer productivity in AI/ML, new edge capabilities for MicroK8s and delivering the fastest GNOME desktop performance. “In the fifteen years since the first Ubuntu release, we have seen Ubuntu evolve from the desktop to become the pla ...
Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions. Following on from our webinar ‘Getting started with AI’, this webinar will dive into what succe ...
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 ...