Blog posts tagged "AI/ML"

AI harnesses for telco autonomous networks

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

Beyond tokens per watt – using Ubuntu 26.04 LTS for AI

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...

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

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

Run NVIDIA Nemotron 3 Nano Omni locally in a single command

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

Canonical welcomes NVIDIA’s donation of the GPU DRA driver to CNCF

At KubeCon Europe in Amsterdam, NVIDIA announced that it will donate the GPU Dynamic Resource Allocation (DRA) Driver to the Cloud Native Computing Foundation...

Meet Canonical at NVIDIA GTC 2026

Previewing at the event: NVIDIA CUDA support in Ubuntu 26.04 LTS, NVIDIA Vera Rubin NVL72 architecture support in Ubuntu 26.04 LTS, Canonical’s official...

Canonical announces Ubuntu support for the NVIDIA Rubin platform

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 to distribute AMD ROCm AI/ML and HPC libraries in Ubuntu

Canonical is pleased to announce an expanded collaboration with AMD to package and maintain AMD ROCm™ software directly in Ubuntu. AMD ROCm is an open...

Canonical announces it will support and distribute NVIDIA CUDA in Ubuntu

Today Canonical, the publisher of Ubuntu, announced support for the NVIDIA CUDA toolkit and the distribution of CUDA within Ubuntu’s repositories.   CUDA is a...

Let’s meet at AI4 and talk about AI infrastructure with open source

Date: 11 – 13 August 2025 Booth: 353 Book a meeting You know the old saying: what happens in Vegas… transforms your AI journey with trusted open source. On...

How to deploy Kubeflow on Azure

Kubeflow is a cloud-native, open source machine learning operations (MLOps) platform designed for developing and deploying ML models on Kubernetes. Kubeflow...

Experience Edge AI use cases with Canonical at Mobile World Congress Barcelona 2025

Artificial Intelligence and Machine Learning (AI/ML) are increasingly driving change in telecommunications. Increased adoption is building organizational...

7 considerations when building your ML architecture

As the number of organizations moving their ML projects to production is growing, the need to build reliable, scalable architecture has become a more pressing...

AI in 2025: is it an agentic year?

2024 was the GenAI year. With new and more performant LLMs and a higher number of projects rolled out to production, adoption of GenAI doubled compared to the...

Ubuntu available in Microsoft’s new WSL distribution format

New format in Windows Subsystem for Linux makes adoption easier in enterprise environments by enabling image customization and deployments at scale

Canonical joins OPEA to enable Enterprise AI

Canonical is committed to enabling organizations to secure and scale their AI/ML projects in production. This is why we are pleased to announce that we have...

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