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Blog posts tagged
"Kubeflow"

Canonical
29 March 2023

Charmed Kubeflow 1.7 is now available

AI Article

Run serverless ML workloads. Optimise models for deep learning. Expand your data science tooling.  Canonical, the publisher of Ubuntu, announced today the general availability of Charmed Kubeflow 1.7. Charmed Kubeflow is an open-source, end-to-end MLOps platform that can run on any cloud, including hybrid cloud or multi-cloud scenarios. T ...

Canonical
21 March 2023

Scale Enterprise AI with Canonical and NVIDIA

AI Article

Charmed Kubeflow is now certified in the NVIDIA DGX-Ready Software Program for MLOps! Canonical is proud to announce that Charmed Kubeflow is now certified as part of the  NVIDIA DGX-Ready Software program. This collaboration accelerates at-scale deployments of AI and data science projects on the highest-performing AI infrastructure, prov ...

Andreea Munteanu
8 March 2023

Charmed Kubeflow 1.7 Beta is here. Try it now!

AI Article

Canonical is happy to announce that Charmed Kubeflow 1.7 is now available in Beta. Kubeflow is a foundational part of the MLOps ecosystem that has been evolving over the years. With Charmed Kubeflow 1.7, users benefit from the ability to run serverless workloads and perform model inference regardless of the machine learning framework they ...

Andreea Munteanu
3 March 2023

Top 5 MLOps challenges

AI Article

After ChatGPT took off, the AI/ML market suddenly became attractive to everyone. But is it that easy to kickstart a project? More importantly, what do you need to scale an AI initiative? MLOps or machine learning operations is the answer when it comes to automating machine learning workflows. Adopting MLOps is like adopting DevOps, you ...

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 ...

Andreea Munteanu
23 January 2023

What is MLOps going to look like in 2023?

Ubuntu Article

While AI seems to be the topic of the moment, especially in the tech industry, the need to make it happen in a reliable way is becoming more obvious. MLOps, as a practice, finds itself in a place where it needs to keep growing and remain relevant in view of the latest trends. Solutions like ...

Canonical
2 January 2023

Hybrid cloud infrastructure modernisation

AI Cloud

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 ...

Andreea Munteanu
14 December 2022

What is MLOps?

AI Article

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 ...

Andreea Munteanu
24 November 2022

AI/ML in retail: how the shopping experience has changed

AI Article

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! ...

Canonical
8 November 2022

Charmed Kubeflow now integrates with MindSpore

AI Article

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 ...

Andreea Munteanu
8 November 2022

A hands-on guide to work with MindSpore on Kubeflow

AI Article

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, ...

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