The Source

This year we celebrate a decade of Ubuntu Server support on the s390x architecture: marking a long-standing collaboration between Canonical and IBM that began at LinuxCon 2015. The first release happened on April 21, 2016, bringing Ubuntu 16.04 LTS (Xenial Xerus) to IBM Z and IBM LinuxONE platforms.  A first for Ubuntu on IBM That

Legacy infrastructure was not designed for the requirements of the AI era. While large-scale model training remains centralized in data centers, test-time inference is rapidly shifting to the edge to reduce latency and bandwidth consumption. This shift creates a new frontier for enterprise AI, but deploying at the edge introduces signific

Achieving vendor neutrality in telco clouds requires an infrastructure layer that respects open standards, without wrapping them in rigid platform layers. By combining upstream alignment with up to 15 years of support longevity, Canonical’s approach to Sylva is built around a requirement that matters deeply to telcos: follow upstream clou

Previous articles walked through RDMA (Remote Direct Memory Access) as a programming model and InfiniBand as the fabric that was built around it. Both led to the same conclusion, even if it was never stated outright: moving data, not compute, becomes the bottleneck once systems scale. So what happens when you want RDMA, but you’re

Tokens per watt (TpW) – the measure of useful AI work produced per watt of energy consumed – is the metric at top of mind for CEOs, heads of AI, and infrastructure teams alike. With the tremendous cost of GPU clusters, extracting as much value as possible from the expense is critical. But in the

Welcome to this blog series which explores innovative uses of Ubuntu Core. Throughout this series, Canonical’s Engineers will show what you can build with our releases, highlighting the features and tools available to you. In this blog, Asa Mirzaieva, engineer from the Silicon Alliances team, will show you how to deploy optimised AI model

Introduction One of the important offerings of the RISC-V Instruction Set Architecture (ISA) is the ability to customize and extend the base instruction set. An initial reaction to hearing this is often to worry about software portability and compatibility, since if every RISC-V CPU  offers a slightly different set of instructions, softwa

AMD ROCm is now available in Ubuntu 26.04 LTS. Learn what how to make the best of it, and find out what this will mean in the coming years for development in Ubuntu.

Microsoft has announced the preview of Azure Cobalt 200, its second-generation custom Arm silicon. Learn how Ubuntu and Ubuntu Pro support these new VMs from day one, offering seamless deployment, long-term security maintenance, and Kernel Livepatch without requiring engineering or platform changes

When distributed workloads stall because nodes cannot exchange small messages quickly and consistently, the network is the limiting factor. How do you solve that problem? InfiniBand offers one solution. InfiniBand is an interconnect, meaning the end-to-end communication system that links compute, storage, and accelerator nodes. It is impl

A 12-year-old bug in libnss-db caused getent enumeration to slow to a crawl – and showed how far expert support can go when a customer brings the right evidence and the right question.

By packaging OpenShell as a snap, Canonical is enabling enterprises to confidently run next-generation agentic workflows across local devices, hybrid environments, and private clouds.

Canonical and Google Cloud announced the availability of certified Ubuntu images for Google’s Cloud TPU Virtual Machines.

Most modern datacenters are inherently heterogeneous. VMware environments coexist with container platforms, databases, and other bare-metal workloads, often on the same hardware over several years. Servers are bought once, but their role changes as requirements evolve. However, ESXi (the VMware hypervisor) provisioning is often handled se

The purpose of this guide is to highlight the key differences between Apache Spark 3 and Spark 4, and provide advice on how to plan a migration. Let’s get started. The biggest changes Let’s talk about the biggest changes between Apache Spark 3.x and Spark 4. Scala 2.12 no more First up, there’s no support

Developers now benefit from consistency and repeatability for cutting-edge workflows, including agentic AI. Today, Canonical announced the release of Workshop, a solution for launching development environments with a single command. These environments are configured once, and can be reproduced on different machines. This means consistent