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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 Benjamin Ryzman
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 implemented as a purpose-built network fabric, the switching and transport layer engineered to deliver high bandwidth and low, predictable latency between those nodes.
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By Lidia Luna Puerta
Some support cases are straightforward. Others lead deep into legacy code, where a single logic bug can quietly turn a routine command into a major performance problem. This series looks at how Canonical Support and Sustaining Engineering work together to investigate, patch, and upstream difficult issues that standard troubleshooting alone cannot solve.
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By Canonical
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 workflows across development machines and deployment pipelines, and less time managing dependencies.
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By Miguel Divo
Open source thrives on engineering-driven processes. Fast feedback loops, terminal tools, Git workflows: they’re the lifeblood of how we build software in the open. But for software to truly excel, we need to create user experiences that empower people to use them. I wanted to bring this conversation into the spotlight as part of Canonical’s Open Design initiatives. What better way than at FOSS Backstage 2026 Berlin?
Canonical announces fully Managed Kubeflow AI operations platform on the Microsoft Azure Marketplace
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By Massimiliano Gori
Canonical, the publisher of Ubuntu, today announced the general availability (GA) of Managed Kubeflow on the Microsoft Azure Marketplace. This solution enables AI teams to get a fully managed, production-ready MLOps platform in their own tenant. Upstream Kubeflow is a powerful tool for machine learning, but it remains notoriously challenging to deploy and maintain.
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By Abdelrahman Hosny
I’ve yet to meet a developer that enjoys working with metered AI APIs. The need to pay for every API call in development works in direct opposition to the ethos of rapid iteration, and it’s easy for the costs to get out of hand. That’s why Canonical has created a different approach to building AI-powered applications; one where the model lives inside your app, not behind a pay-per-token HTTP call.
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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 Ubuntu
Not all open source projects gain traction -- but a few become movements. In this talk, Nariman, Founder of Puter, shares what actually separates the two, based on his experience of growing Puter to 40K+ stars, gaining hundreds of contributors, and over 500K installations. He breaks down how to gain momentum from a project's foundation, attract contributors, and design projects that capture the imagination.
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By Canonical Ubuntu
Learn how to deploy Canonical Managed Kubeflow on Microsoft Azure step by step. Canonical's Managed Kubeflow on Azure gives enterprise and startup AI teams a fully operational, open source MLOps platform in under an hour. It is managed 24/7 by Canonical's engineers. This means you can focus entirely on building models rather than running infrastructure.
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By Canonical Ubuntu
When a new cybersecurity vulnerability is discovered, it gets a snazzy name, media coverage, and major accolades for the researcher. But what about the person who stays up late writing, testing, and deploying the patch to fix it?
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By Canonical Ubuntu
What is uPKI? Dirkjan explains what uPKI is and why it's important to check for certificate revocation at Ubuntu Summit 26.04. Watch his talk live as part of 26.04 on our YouTube channel (@UbuntuOS).
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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.