AI archives

174 posts

AI harnesses for telco autonomous networks

By estelacarmona, 28 August 2026

As the telco industry transitions toward Autonomous Networks Level 4, a fundamental architectural challenge has emerged: how do you build a secure, reliable...

Canonical integrates NVIDIA Nemotron 3.5 Lightning with Ubuntu for always-on AI agents

By Canonical, 11 August 2026

Canonical is pleased to announce that  NVIDIA’s newly introduced NVIDIA Nemotron 3.5 Lightning, an open, customizable model built for always-on AI agents, is...

AI at the edge: simplifying infrastructure with Cisco and Canonical

By Pedro Lazzarotto, 11 June 2026

Legacy infrastructure was not designed for the requirements of the AI era. While large-scale model training remains centralized in data centers, test-time...

What is RDMA over Converged Ethernet (RoCE)?

By Benjamin Ryzman, 9 June 2026

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...

Beyond tokens per watt – using Ubuntu 26.04 LTS for AI

By Freyja Cooper, 5 June 2026

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...

AI with AMD ROCm on Ubuntu: your questions answered

By Kevin Cazabon, 3 June 2026

AMD ROCm is now available in Ubuntu 26.04 LTS. Learn what how to make the best of it, and find out what this will mean in the coming years for development in Ubuntu.

What is InfiniBand?

By Benjamin Ryzman, 2 June 2026

When distributed workloads stall because nodes cannot exchange small messages quickly and consistently, the network is the limiting factor. How do you solve...

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

By Canonical, 1 June 2026

By packaging OpenShell as a snap, Canonical is enabling enterprises to confidently run next-generation agentic workflows across local devices, hybrid...

Canonical announces optimized Ubuntu images for TPU virtual machines by Google Cloud

By Hugo Huang, 28 May 2026

Canonical and Google Cloud announced the availability of certified Ubuntu images for Google’s Cloud TPU Virtual Machines.

Run agentic workloads on Arm and Ubuntu

By Youssef Eltoukhy, 26 May 2026

In the lead-up to Ubuntu Summit 26.04, Canonical and Arm are collaborating to certify the new Arm AGI CPU on Ubuntu 26.04 LTS (Resolute Raccoon). Learn what...

Developing web apps with local LLM inference

By Abdelrahman Hosny, 21 May 2026

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...

Canonical announces fully Managed Kubeflow AI operations platform on the Microsoft Azure Marketplace

By Massimiliano Gori, 21 May 2026

Canonical has announced the general availability of Managed Kubeflow on the Microsoft Azure Marketplace. This fully managed MLOps platform allows enterprise...

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

By Miha Purg, 15 May 2026

AI is accelerating and improving how security engineers find and fix vulnerabilities. A new tool developed and used at Canonical, called Redhound, has already...

Run NVIDIA Nemotron 3 Nano Omni locally in a single command

By Canonical, 28 April 2026

Today, NVIDIA introduced the NVIDIA Nemotron™ 3 Nano Omni, a highly-efficient multimodal model designed to understand and reason across video, audio, images,...

Understanding disaggregated GenAI model serving with llm-d

By Rob Gibbon, 27 April 2026

What is llm-d? llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of...

Hybrid search and reranking: a deeper look at RAG

By Rob Gibbon, 20 April 2026

Many of us are familiar with the retrieval augmented generative AI (RAG) pattern for building agentic AI applications – like digital concierges, frontline...

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