As we celebrate 20 years of Ubuntu, we wanted to take a moment to reflect on the value of partnership. The idea that software should be open source and accessible to all gave birth to a vibrant community of users and a partner ecosystem who help us take Ubuntu across industries. So who do we work with? We are fortunate to count over 100 partners, all of whom have a different relationship with Ubuntu.

In pursuit of open source sustainability, Canonical is a committed contributor to the development of Valkey. Following our mission to amplify the impact of open source and enable a broad diversity of open source communities to collaborate under the Ubuntu umbrella, we’re pleased to announce that Valkey is now included in Ubuntu. Valkey is included in Ubuntu 24.10 (Oracular Oriole) and Ubuntu 24.04 LTS (Noble Nombat) and will be included in future releases.

Today Canonical announced the release of Ubuntu 24.10, codenamed “Oracular Oriole,” available to download and install from ubuntu.com/download. Ubuntu 24.10 delivers the latest kernel, toolchains and GNOME 47 desktop environment alongside significant improvements to software security.

A vector database is a data storage system that organises information in the form of vectors, which are mathematical representations. These databases are designed to store, index, and query vector embeddings or numerical representations of unstructured data, including text documents, multimedia content, audio, geospatial coordinates, tables, and graphs.

In the world of cloud computing, we rely on abstraction layers to manage complex systems. While this simplifies development, it also creates vulnerabilities for sensitive data. Traditionally, privileged software within the cloud has access to your data, and could pose a significant security risk, if not managed properly. But there’s a new way to protect your data: confidential computing.

Microsoft Azure has announced the general availability of their confidential virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs, powered by Ubuntu. This offering combines the hardware-based protection of AMD EPYC processors with NVIDIA’s latest GPU technology to enable secure and high-performance AI workloads in the cloud. Combining these technologies allows sensitive sectors to unlock AI adoption through addressing previous concerns of critical data privacy.

The EU Cyber Resilience Act is coming. I’ve talked about this piece of upcoming regulation in some depth before, having covered its background and stipulations in previous pieces on our website and for the Forbes Technology Council, and explored what it means for the businesses who consume open source in later articles (you can also read a version of this blog on Forbes).

Cédric Gégout (VP of Product at Canonical) reflects on a recent research report that Canonical published in collaboration with Omdia. The report uncovered that despite the lack of widespread 5G standalone infrastructure, enterprises, industrial actors and service providers are preparing for 5G edge computing to produce returns within two years.

AI is driving a new wave of opportunities in all kinds of edge settings—from predictive maintenance in manufacturing, to virtual assistants in healthcare, to telco router optimisation in the most remote locations. But to support these AI workloads running virtually everywhere, companies need edge infrastructure that’s fast, secure and highly scalable.

The accelerated developments in machine learning and artificial intelligence in healthcare have set the stage for some interesting transformations. By enabling better care for patients, optimizing processes, and generating new opportunities for medical research and treatment, these technologies are indeed going to change the healthcare industry radically.