Blog posts tagged "AI"
London, UK – August 25, 2026 – Following our initial collaboration announcement in March 2026, Canonical and Arduino (a subsidiary of Qualcomm Technologies,...
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...
Legacy infrastructure was not designed for the requirements of the AI era. While large-scale model training remains centralized in data centers, test-time...
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...
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...
When distributed workloads stall because nodes cannot exchange small messages quickly and consistently, the network is the limiting factor. How do you solve...
By packaging OpenShell as a snap, Canonical is enabling enterprises to confidently run next-generation agentic workflows across local devices, hybrid...
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...
AI is accelerating and improving how security engineers find and fix vulnerabilities. A new tool developed and used at Canonical, called Redhound, has already...
Many of us are familiar with the retrieval augmented generative AI (RAG) pattern for building agentic AI applications – like digital concierges, frontline...
As AI platforms grow into large-scale “AI Factories,” the real bottleneck shifts from model design to operational complexity. With expensive GPU accelerators,...
Modern data centres are hitting a wall that faster CPUs alone cannot fix. As workloads scale out and latency budgets shrink, the impact of moving data between...
Official Ubuntu support for the NVIDIA Rubin platform, including the NVIDIA Vera Rubin NVL72 rack-scale systems, announced at CES 2026 CES 2026, Las Vegas. –...
Organizations everywhere are pushing AI and networks closer to the edge. With that expansion comes a challenge: how do you ensure reliable performance,...
At NVIDIA GTC Washington D.C., Canonical is pleased to support the arrival of the NVIDIA BlueField-4 – the newest generation of the data processing unit (DPU)...
Reference architectures speed up time to market for agentic AI projects To ease the path of enterprise AI adoption and accelerate the conversion of AI...