Andreea Munteanu

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware. This architecture, built on Canonical’s MicroK8s and Charmed Kubeflow, ru

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. T

The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hu

Kubeflow is a cloud-native, open source machine learning operations (MLOps) platform designed for developing and deploying ML models on Kubernetes. Kubeflow helps data scientists and machine learning engineers run the entire ML lifecycle within one tool. Charmed Kubeflow is Canonical’s official distribution of Kubeflow. The key benefits o

As the number of organizations moving their ML projects to production is growing, the need to build reliable, scalable architecture has become a more pressing concern. According to BCG (Boston Consulting Group), only 6% of organizations are investing in upskilling their workforce in AI skills. For any organization seeking to reach AI matu

2024 was the GenAI year. With new and more performant LLMs and a higher number of projects rolled out to production, adoption of GenAI doubled compared to the previous year (source: Gartner). In the same report, organizations answered that they are using AI in more than one part of their business, with 65% of respondents

Why should you use an official distribution of Kubeflow? Kubeflow is an open source MLOps platform that is designed to enable organizations to scale their ML initiatives and automate their workloads. It is a cloud-native solution that helps developers run the entire machine learning lifecycle within a single solution on Kubernetes. It can

Canonical is committed to enabling organizations to secure and scale their AI/ML projects in production. This is why we are pleased to announce that we have joined the Open Platform for Enterprise AI (OPEA), a project community at the Linux Foundation focused on enterprise AI using open-source tooling. What is OPEA? OPEA is a project

Date: 9-10 October 2024 Booth: B8 After Data & AI Masters, we cross the North Sea to attend one of the leading AI events inEurope. Between the 9th and 10th of October, our team will be in Amsterdam at World Summit AI for the second year in a row. In 2023, we had a blast

Kubeflow 1.9. Kubeflow is a fully open source MLOps platform, part of the Cloud Native Computing Foundation (CNCF) as an incubation project. Canonical is one of the project’s official distributors, ensuring security maintenance of the container images, tight integration with the wider AI/ML ecosystem, and delivering enterprise support and

Date: August 27, 2024 Venue: The Fullerton Hotel Sydney Time: 13:00 PM – 18:00 PM AI has officially taken off. Today, thousands of exciting projects are being taken to production in all industries, while a report by Deloitte found that use of gen AI by employees at Australian workplaces rose to 38% in 2023. Despite

Date: 12 – 14 August 2024 Booth: 426 Autumn is a season full of events for the AI/ML industry. We are starting early this year, before the summer ends, and will be in Las Vegas to attend AI4 2024. This is North America’s largest industry event, and it attracts some of the biggest names in

After releasing a new version of Ubuntu every six months for 20 years, it’s safe to say that we like keeping our traditions. Another of those traditions is our commitment to giving our Kubeflow users early access to the latest version – and that promise still stands. Kubeflow 1.9 is about to go out in

For 20 years, Ubuntu has been at the cutting edge of technology. Pioneers looking to innovate new technologies and ideas choose Ubuntu as the medium to do it, whether they’re building devices for space, deploying a fleet of robots or building up financial infrastructure.  The rise of machine learning is no exception and has encouraged

Data science is one of the most exciting topics of the last century. With its utility in industries of all kinds, it’s easy to see why it has been rated as one of the top 20 fast-growing occupations in the US, according to the Bureau of Labour Statistics.  However, entering this fast-growing space isn’t’ easy:

It’s been over two years since generative AI (GenAI) took off with the launch of ChatGPT. From that moment on, a variety of applications, models and libraries were launched to address market needs and simplify enterprise activity. As Deloitte observes in its State of Generative AI Q2 2024 report, organisations are now at a stage