Skip to main content

Blog posts tagged
"AI"

Canonical
25 August 2026

Arduino® VENTUNO™ Q is available for pre-order with Ubuntu pre-installed

Canonical announcements Article

London, UK – August 25, 2026 – Following our initial collaboration announcement in March 2026, Canonical and Arduino (a subsidiary of Qualcomm Technologies, Inc.) are excited to announce that VENTUNO Q is now generally available for pre-order, pre-loaded with Ubuntu. VENTUNO Q is a dual-brain developer board designed for edge AI and robot ...

Gabriel Aguiar Noury
16 June 2026

A look into Ubuntu Core 26: Building a local AI inference appliance in a virtual machine

Internet of Things Ubuntu tech blog

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 this Core 26 release, highlighting the features and tools available to you.  In this first blog, Farshid Tavakolizadeh, Engineer Manager for Canonical’s Industrial team, will show you h ...

Pedro Lazzarotto
11 June 2026

AI at the edge: simplifying infrastructure with Cisco and Canonical

AI Ubuntu tech blog

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 ...

Benjamin Ryzman
9 June 2026

What is RDMA over Converged Ethernet (RoCE)?

AI Ubuntu tech blog

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 ...

Gabriel Aguiar Noury
4 June 2026

A look into Ubuntu Core 26: Deploying AI models on Renesas RZ/V series for production

Internet of Things Ubuntu tech blog

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 ...

Benjamin Ryzman
2 June 2026

What is InfiniBand?

AI Ubuntu tech blog

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 ...

Canonical
1 June 2026

Securing AI agent workflows on Ubuntu with the new NVIDIA OpenShell snap

AI Ubuntu tech blog

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. ...

Abdelrahman Hosny
21 May 2026

Developing web apps with local LLM inference

AI Ubuntu tech blog

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 ...

Miha Purg
15 May 2026

Finding the blind spot: How Canonical hunts logic flaws with AI

AI Ubuntu tech blog

AI is accelerating and improving how security engineers find and fix vulnerabilities. A new tool developed and used at Canonical, called Redhound, has already uncovered three critical logic vunerabilites, paving the way for a more secure software landscape. ...

Rob Gibbon
20 April 2026

Hybrid search and reranking: a deeper look at RAG

AI Ubuntu tech blog

Many of us are familiar with the retrieval augmented generative AI (RAG) pattern for building agentic AI applications – like digital concierges, frontline support chatbots and agents that can help with basic self-service troubleshooting.  At a high level, the flow for RAG is fairly clear – the user’s prompt is augmented with some relevant ...

David Beamonte
11 March 2026

The bare metal problem in AI Factories

MAAS Ubuntu tech blog

As AI platforms grow into large-scale “AI Factories,” the real bottleneck shifts from model design to operational complexity. With expensive GPU accelerators, hardware failures and inconsistent configurations lead directly to lost throughput and reduced return on investment. While Kubernetes orchestrates workloads, it cannot fix broken ph ...

  1. Previous page
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5
  7. Next page