Skip to main content

Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting us. A member of our team will be in touch shortly. Close

An error occurred while submitting your form. Please try again or file a bug report. Close

Blog posts tagged
"machine learning"

victoriaantipova
14 July 2025

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

Ubuntu Article

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 August 11-13, Canonical is back at AI4 2025 to share the secrets of building secure, scalable AI infrastructure to accelerate every stage of your machine learning ...

Andreea Munteanu
20 March 2025

Accelerating AI with open source machine learning infrastructure

AI Article

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware. This architecture, built on Canonical’s MicroK8s and Charmed Kubeflow, ru ...

Stefano Fioravanzo
3 March 2025

Experiment Tracking with MLFlow in Canonical’s Data Science Stack

Desktop Article

Welcome back, data scientists! In my previous post, we explored how easy it is to set up a machine learning environment with Canonical’s Data Science Stack (DSS) and run your first model using Hugging Face’s Smol Course. Today, let’s take it a step further with experiment tracking. Experimentation is at the heart of data science, ...

Stefano Fioravanzo
14 January 2025

How to build your first model using DSS

AI Article

GenAI is transforming how we approach technology. This blog explores how you can use Canonical’s Data Science Stack (DSS) to set up your environment and dive into Hugging Face’s new self-paced course on LLMs. Learn how to build your first model and explore new GenAI topics this year! ...

victoriaantipova
14 March 2024

Join the Canonical Data and AI team at Data Innovation Summit 2024

AI Data Platform

Join Canonical Data and AI team at Data Innovation Summit 2024 ...

Canonical
26 September 2023

Canonical releases Charmed MLFlow

AI Article

Canonical announced today that Charmed MLFlow, Canonical’s distribution of the popular machine learning platform, is now generally available. Charmed MLFlow is part of Canonical’s growing MLOps portfolio. ...

Andreea Munteanu
12 July 2023

Large language models (LLMs): what, why, how?

AI Article

Large language models (LLMs) are machine-learning models specialised in understanding natural language. They became famous once ChatGPT was widely adopted around the world, but they have applications beyond chatbots. LLMs are suitable to generate translations or content summaries. This blog will explain large language models (LLMs), inclu ...

Andreea Munteanu
23 June 2023

Kubeflow vs MLFlow: which one to choose?

AI Article

Data scientists and machine learning engineers are often looking for tools that could ease their work. Kubeflow and MLFlow are two of the most popular open-source tools in the machine learning operations (MLOps) space. They are often considered when kickstarting a new AI/ML initiative, so comparisons between them are not surprising.  This ...

Andreea Munteanu
7 June 2023

Charmed MLFlow Beta is here. Try it out now!

AI Article

Canonical’s MLOps portfolio is growing with a new machine learning tool. Charmed MLFlow 2.1 is now available in Beta. MLFlow is a crucial component of the open-source MLOps ecosystem. The project announced it had passed 10 million monthly downloads at the end of 2022. With Charmed MLFlow users benefit from a platform where they can ...

Hugo Huang
9 April 2023

Four Challenges for ML data pipeline

AI Article

Data pipelines are the backbone of Machine Learning projects. They are responsible for collecting, storing, and processing the data that is used to train and deploy machine learning models. Without a data pipeline, it would be very difficult to manage the large amounts of data that are required for machine learning projects. For this long ...

Andreea Munteanu
2 February 2023

From model-centric to data-centric MLOps

AI Article

MLOps (short for machine learning operations) is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring. It will become a standard as artificial intelligence is moving towards becoming part of everyday business, rather than an innovative act ...

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