Maciej is not only the host of our podcast, but also an experienced keynote speaker. After a joint keynote at KubeconEU 2023 about highly sensitive data, in 2024, Maciej goes to Paris to talk about the GPU utilisation. During our podcast, we cover a lot of aspects of GPU utilisation. From best practices to existing tooling, there are different angles that Maciej talk about, giving a sneak-peak into his keynote. Are you curious how open source tooling plays a role in optimising the GPU utilisation? Listen to our podcast!

database management, MongoDB stands as the unrivalled leader for document databases. This session will explore how organisations tackle data challenges and harness MongoDB to modernise their data management strategies. In this webinar, you will learn about: the unique data management challenges faced by small, medium, and large enterprises, insights into specific use cases where MongoDB proves to be an ideal database choice,

A special episode is out to talk about NVIDIA GTC 2024. Gustavo Sanchez will give a talk about edge AI deployments to accelerate smart city development. It will focus on how cloud native infrastructure and open source tooling enable such a project. Listed to the podcast to learn more about the use cases, challenges and key considerations for such a use case. From architectural details to possible improvements, Gustavo delights us with tons of useful information.

AI is rapidly evolving, impacting every sector from entertainment to space tech.🌟 Canonical is your ally for open source AI and MLOps tools. Explore our solutions for Kubeflow, MLflow, Spark and more.

Have you heard about Apache Kafka but aren’t quite sure about its functions or applications? This webinar is tailored for you. Apache Kafka is more than just a buzzword in the tech community; it’s a critical tool for data processing and management. Join our expert-led webinar to explore the world of Apache Kafka, a powerful distributed event streaming platform. Learn how Canonical simplifies Kafka operations, offering secure, automated deployments and maintenance across various clouds.

Season 2 of Ubuntu AI podcast is here! After a start with great guests and great feedback from our listeners, we are ready to kickstart a new series of episodes. We will continue talking about AI and open source, focusing mostly on the machine learning lifecycle, AI on public cloud, AI at the edge and the security angle of the AI projects. This time around, we will periodically invite contributors to open source projects from the AI space to join us.

Dive deep into the collaboration between Canonical and Microsoft as we explore the latest innovation in the world of containers and.NET. In this interview, Richard Lander, Principal Program Manager for.NET at Microsoft, sits down with Cristovao Cordeiro, Engineering Manager for Containers at Canonical, to discuss the exciting developments post the launch of chiselled Ubuntu on Microsoft.NET with a focus on.NET 8, the latest release from Microsoft.

We will address key topics such as the need for cybersecurity mandates, the evolving E/E architecture of SDVs, the importance of maintaining software integrity, meeting regulatory requirements, and delivering innovative features to enhance the user experience.

From autonomous cars to factories: how data processing at the edge will transform automotive Automotive is at the forefront of innovation, but challenges always come with change. One of those challenges is processing data in decentralised environments like factories or vehicles. In this webinar, you will learn about automotive use cases that require local data processing for confidential reasons, or simply due to networking constraints. We will also discuss what edge clouds bring to the table and how Canonical’s MicroCloud addresses the automotive industry’s edge computing challenges.

Securing data at run-time has long been an open security challenge. Whether it is malicious insiders exploiting elevated privileges or attackers exploiting vulnerabilities within the platform’s privileged system software, your data’s confidentiality and integrity was at risk.