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By Jonathan Beri
Your Ubuntu Core fleet is running beautifully. OTA updates roll out in minutes. Every device is strictly confined, cryptographically attested, and carrying a 10 to 15 year long term support (LTS) commitment. The operational team sleeps soundly. Then the product roadmap meeting happens. The industrial floor needs vibration sensors on every motor. The smart building needs temperature nodes in every room. The cold chain system requires dozens of low-power Bluetooth tags. And someone just said the words.
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By Ishani Ghoshal
In an increasingly volatile job market, standing out from the competition is vital. For many in the open source community, formal recognition for self-taught skills is a significant challenge. These skills are often built through hands-on hobbies, side projects, and deep community contributions. While the market is flooded with certificates and certifications, most fail to reliably measure practical execution, or fall behind the rapid pace of industry changes.
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By Nina Rojc
As designers working at Canonical, we’re always thinking about open source. We believe that encouraging more designers to contribute to open source benefits everyone, from the project maintainers to the end users themselves. In the 2025 edition of FOSSBackstage conference, we presented our research findings on why designers don’t get involved in open source projects and found a particular breakdown between designers and project maintainers.
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By Lech Sandecki
Canonical’s security philosophy has always been built on the premise that vulnerabilities exist and will be discovered. Our response relies on defense-in-depth architecture, rapid patch deployment, and strict adherence to Coordinated Vulnerability Disclosure (CVD). AI changes vulnerability discovery volume and speed. We have a robust vulnerability management process that is backed by rigorous compliance certifications.
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By estelacarmona
The telco industry is undergoing a fundamental change. Over the past few years, the increasing maturity of cloud-native infrastructure has accelerated the movement from manually operated and hardware-centric systems to automated, software-defined platforms. Underpinning this change are open source initiatives such as the Sylva project. Sylva is hosted by Linux Foundation Europe and heavily backed by major telecom operators and vendors.
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By Pedro Lazzarotto
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 significant manual complexity, interoperability issues, and security vulnerabilities.
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By Benjamin Ryzman
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 already running an Ethernet network you’re not keen to replace? That’s usually where RDMA over Converged Ethernet (RoCE) enters the conversation.
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By Freyja Cooper
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 pursuit of tokens, it’s important to remember that hardware efficiency isn’t the only factor influencing data center operating costs, or the output of useful, revenue-generating AI work.
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By Gabriel Aguiar Noury
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 models on Renesas RZ/V series hardware using the Dynamically Reconfigurable Processor for AI (DRP-AI).
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By Jon Taylor
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, software won’t be portable.
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By Canonical Ubuntu
Discover how Anbox Cloud helps engineering teams scale Android development by moving Android workloads from physical hardware into the cloud. In this video, we showcase how developers can run, test, validate, and share Android environments on demand using containerized and virtualized Android instances. We explore how both approaches work, key differences, and use cases.
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By Canonical Ubuntu
The closing remark at the Ubuntu Summit reflects on two days of open source innovation and community milestone announcements. Save the dates for the next Ubuntu Summit: November 12-13, 2026! About Diogo Diogo Sousa is the Security Engineering Manager at Canonical. Ubuntu Summit 26.04 is a showcase for the innovative and the ambitious. Subscribe. Fuel your curiosity.
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By Canonical Ubuntu
For years, we were told we were escaping hardware. Virtualization, containers, and Kubernetes made the underlying servers practically invisible to the average application developer. Then came the AI boom and infrastructure got incredibly weird again. In this fast-paced lightning talk, Billy Olson from Canonical breaks down why the modern AI server is no longer just a machine, but a volatile distributed system packed inside a single chassis.
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By Canonical Ubuntu
In this video, our engineering team takes you through a full end-to-end Kubeflow implementation, step by step – from data exploration to production inference. Follow the journey of a house price prediction use case and see how modern MLOps components work together: Kubeflow architectures and starter repositories Notebook-based development workflows Data exploration and model development MLflow for experiment tracking Katib for hyperparameter optimization Kubeflow Pipelines for automated preprocessing and training KServe for scalable model inference.
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By Canonical Ubuntu
Can a general purpose, open source operating system like Linux be deployed in safety-critical products? Can it achieve certifications to standards like ISO 26262? This question has become increasingly common in recent years. In this talk, Bryan provides a safety integrity qualification approach for Linux. It is composed of Linux Kernel, user space libraries (like libc) and user-space components (like init processes), up to ASIL B according to ISO 26262:2018.
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By Canonical Ubuntu
AI-powered worker safety monitoring: detecting helmets, vests, and compliance in real time.
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By Canonical Ubuntu
Learn how to configure Ubuntu at launch using declarative, idempotent instructions stored in a version-controlled YAML file. In this talk, Rajan explains how this approach minimizes arbitrary commands, reduces risks of command injection and privilege escalation, and ensures validation and error handling. This is relevant on major public and private clouds, and virtualization solutions ranging from VMware, WSL, LXD, Multipass, Proxmox, and more.
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By Canonical Ubuntu
What is uPKI? While web browsers automatically check if an HTTPS certificate has been revoked, other Linux command-line tools and applications usually skip this check. That leaves applications vulnerable to compromised or misissued certificates many months after this is discovered. In their talk, Joe Birr-Pixton and Dirkjan Ochtman will be introducing uPKI: a new effort to bring browser-grade certificate infrastructure to Linux. This effort is funded by Canonical, engineered by the maintainers of rustls, and builds on foundational work from Mozilla.
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By Canonical Ubuntu
Discover how NVIDIA Earth-2 brings open source software and open science to weather and climate forecasting. Niall Robinson (NVIDIA) introduces a new way of making production-ready weather AI fully accessible for organizations to run, fine-tune, and deploy on their own infrastructure: NVIDIA Earth-2.
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By Canonical Ubuntu
What are the latest developments in Arm tooling on Ubuntu? In this talk, David explores Arm tooling to analyze and optimize workload performance, and how AI-assisted development using agentic AI and static analysis can accelerate porting and tuning applications for the Arm architecture. About David David Haikney is a Technical Product Director at Arm. He is responsible for Arm Performix, a free performance toolkit that helps developers understand and improve real-world performance on Arm architectures.
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By Canonical
From the smallest startups to the largest enterprises alike, organisations are using Artificial Intelligence and Machine Learning to make the best, fastest, most informed decisions to overcome their biggest business challenges. But with AI/ML complexity spanning infrastructure, operations, resources, modelling and compliance and security, while constantly innovating, many organizations are left unsure how to capture their data and get started on delivering AI technologies and methodologies.
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By Canonical
Traditional development methods do not scale into the IoT sphere. Strong inter-dependencies and blurred boundaries among components in the edge device stack result in fragmentation, slow updates, security issues, increased cost, and reduced reliability of platforms. This reality places a major strain on IoT players who need to contend with varying cycles and priorities in the development stack, limiting their flexibility to innovate and introduce changes into their products, both on the hardware and software sides.
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By Canonical
Private cloud, public cloud, hybrid cloud, multi-cloud... the variety of locations, platforms and physical substrate you can start a cloud instance on is vast. Yet once you have selected an operating system which best supports your application stack, you should be able to use that operating system as an abstraction layer between different clouds.
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By Canonical
Container technology has brought about a step-change in virtualisation technology. Organisations implementing containers see considerable opportunities to improve agility, efficiency, speed, and manageability within their IT environments. Containers promise to improve datacenter efficiency and performance without having to make additional investments in hardware or infrastructure. Traditional hypervisors provide the most common form of virtualisation, and virtual machines running on such hypervisors are pervasive in nearly every datacenter.
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By Canonical
Big Software, IoT and Big Data are changing how organisations are architecting, deploying, and managing their infrastructure. Traditional models are being challenged and replaced by software solutions that are deployed across many environments and many servers. However, no matter what infrastructure you have, there are bare metal servers under it, somewhere.
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We deliver open source to the world faster, more securely and more cost effectively than any other company.
We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others'. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation.
Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the public cloud, and the workstation experience of the world's most productive developers.
Products:
- Ubuntu: The new standard secure enterprise Linux for servers, desktops, cloud, developers and things.
- Landscape: Updates, package management, repositories, security, and regulatory compliance for Ubuntu.
- MAAS: Dynamic server provisioning and IPAM gives you on-demand bare metal, a physical cloud.
- LXD: The pure-container hypervisor. Run legacy apps in secure containers for speed and density.
- Juju: Model-driven cloud-native apps on public and private infrastructure and CAAS.
- Snapcraft: The app store with secure packages and ultra-reliable updates for multiple Linux distros.
Drive down infrastructure cost, accelerate your applications.