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Blog posts tagged
"AI"


Benjamin Ryzman
2 June 2026

What is InfiniBand?

AI Article

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 Article

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 Article

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 Article

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 Article

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 MAAS

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 ...


Benjamin Ryzman
11 February 2026

What is RDMA?

AI Networking

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 servers is starting to become the most significant factor in overall performance. Remote Direct Memory Access, or RDMA, is one of the technologies reshaping how that data moves, ...


Canonical
5 January 2026

Canonical announces Ubuntu support for the NVIDIA Rubin platform

Canonical announcements Article

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. – Canonical, the publisher of Ubuntu, is pleased to announce official support for the NVIDIA Rubin platform and the latest distributions of the new NVIDIA Nemotron 3 open models.  As A ...


Benjamin Ryzman
5 November 2025

Edge Networking gets smarter: AI and 5G in action

5G core network Article

Organizations everywhere are pushing AI and networks closer to the edge. With that expansion comes a challenge: how do you ensure reliable performance, efficiency, and security outside of the data center? Worker safety, healthcare automation, and the success of mobile private networks depend on a robust technology stack that can withstand ...


Benjamin Ryzman
28 October 2025

Canonical and NVIDIA BlueField-4: a foundation for zero-trust high performance infrastructure

AI Article

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) family. NVIDIA BlueField-4 is an accelerated infrastructure platform for gigascale AI factories. By combining NVIDIA Grace CPU and NVIDIA ConnectX-9 networking, it delivers 6x the c ...


Benjamin Ryzman
11 June 2025

Canonical delivers Kubernetes platform and open-source security with NVIDIA Enterprise AI Factory validated design

AI Article

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 insights into business value, NVIDIA recently published the NVIDIA Enterprise AI Factory validated design, an ecosystem of solutions that integrates seamlessly with enterprise systems, data ...


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