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 our team. We will be in touch shortly.Close
Public clouds enabled digital transformation at unprecedented speed. But their operational costs over time can be exacting as compute needs increase. Hybrid clouds emerged as an alternative to gain the benefits of both worlds: private infrastructure that allows for lower operational expenditures and tighter control, and public clouds that ...
MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. It accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. MLOps is slowly evolving into ...
From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage! ...
The integration allows users to leverage deep learning for AI/ML projects within the MLOps platform On 8 November 2022, at Open Source Experience Paris, Canonical announced that Charmed Kubeflow, Canonical’s enterprise-ready Kubeflow distribution, now integrates with MindSpore, a deep learning framework open-sourced by Huawei. Charmed Ku ...
Looking at the report that Gartner did in 2022 regarding top technology trends, AI engineering represents an important pillar in the near future. It is composed of three core technologies: DataOps, MLOps and DevOps.The discipline’s main purpose is to develop AI models that can quickly and continuously provide business value. For instance, ...
When: 8-9 November 2022 Where: Booth E32, OSXP Palais de Congres, Paris Open Source Experience is the meeting place for the entire open-source software industry. It gathers more than 4,500 professionals, allowing them to deep dive into open-source technologies, solutions and challenges in France and Europe. The event delves into topics li ...
Google just announced that they have submitted an application for Kubeflow to become an incubating project in the Cloud Native Computing Foundation (CNCF). It is an initiative supported by the Kubeflow Project Steering group. The request is visible to everyone and it represents a game changer for the rhythm which Kubeflow will develop. It ...
Date: October 26-27 2022 Where: CloudExpo Madrid, IFEMA Madrid CloudExpo Madrid is an important event in the Iberian peninsula that brings together exciting topics from the tech world: from cloud to security and from digital transformation to task automation. Canonical is happy to attend this year and talk about Kubernetes and its succes ...
Kubeflow summit aims to bring together users, contributors and professionals who benefit from the open-source MLOps platform. After two unusual years, in 2022 the community decided to take a step further and organise two days that will be all about…Kubeflow So…where and when do we meet? Either virtually or in person, at AMA Conference Cen ...
To create a machine learning model, you need to design and optimise the model’s architecture. This involves performing hyperparameter tuning, to enable developers to maximise the performance of their work. How do hyperparameters differ from model parameters? Michal Hucko, Kubeflow engineer, and Andreea Munteanu, Product Manager will host ...
Kubeflow is an open-source MLOps platform that runs on top of Kubernetes. Kubeflow 1.6 was released September 7 2022 with Canonical’s official distribution, Charmed Kubeflow, following shortly after. It came with support for Kubernetes 1.22. However, the MLOps landscape evolves quickly and so does Charmed Kubeflow. As of today, Canonical ...
Charmed Kubeflow is Canonical’s Kubeflow distribution and MLOps platform. The latest release shipped on 8 September. Our engineering team hosted a couple of livestreams to answer the questions from the community: a beta-release webcast and a technical deep-dive. In case you missed them, you can read the most frequently asked questions (FA ...
