# Charmed Kubeflow Now integrates with MindSpore
Published: 2022-11-09
Category: Digital
Category URL: https://technologydispatch.com/category/digital/
Meta Title: Canonical Integrates Charmed Kubeflow with MindSpore for Advanced AI/ML Projects
Meta Description: Enhance AI/ML endeavors with deep learning in Charmed Kubeflow by Canonical through native integration with innovative MindSpore framework from Huawei.
URL: https://technologydispatch.com/charmed-kubeflow-now-integrates-with-mindspore/

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_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](https://github.com/mindspore-ai/mindspore), a deep learning framework open-sourced by Huawei.

Charmed Kubeflow is an end-to-end MLOps platform with optimised complex model training capabilities designed for use with Kubernetes. Part of a robust set of integrations, the new, native integration with MindSpore provides access to unified APIs and end-to-end AI capabilities for model development, execution and deployment. MindSpore offers AI-native execution modes, fully using the computing power provided by Huawei’s hardware.

**MindSpore: an innovative AI framework with wide industry adoption**

Industry partners and developers have actively participated in MindSpore’s development since it first became open source in 2020. MindSpore serves over 5,000 businesses and has been downloaded over 2.49 million times. More than 6,600 developers have contributed code to the program, and more than 110 universities and 40 top research institutes have used MindSpore for scientific research and teaching.

MindSpore is optimised for Huawei hardware, such as Ascend/GPU/CPU, and can be quickly deployed in cloud, edge and mobile scenarios, allowing engineers to develop solutions for a wide spectrum of use cases. MindSpore runs on the Jupyter Notebook, a web-based interactive computing platform. When creating the Notebook, engineers can choose the MindSpore image from the default Jupyter Lab image list, assign certain CPU resources and spin up a notebook instance that can run MindSpore and its Vision suite code to do machine learning experiments.

**Robust integrations for MLOPs at scale**

By providing a native integration with MindSpore and collaborating with Huawei on this open-source project, Canonical is providing the MLOPs ecosystem with an increasingly rich toolset. Charmed Kubeflow integrates with multiple AI/ML tools, such as MLFlow, which provides a central model registry, and Spark, which facilitates data streaming.  The MindSpore integration provides access to the solution’s various features,  such as unified programming and operators, automatic model partitioning and dynamic and static computation graphs.

**Learn more at the Open Source Experience conference in Paris**

Canonical and Huawei will be present at [Open Source Experience](https://www.opensource-experience.com/en/) in Paris on 8-9 November 2022. Schedule a meeting to learn more about Mindspore and Charmed Kubeflow. Event attendees can demo a real use case that benefits from the integration running on top of Atlas 500 Pro AI Edge Servers.

**About Canonical**

Canonical is the publisher of Ubuntu, the leading operating system for container, cloud and hyperscale computing. Ubuntu is the OS for most public cloud workloads as well as the emerging categories of smart gateways, self-driving cars and advanced robots. Canonical provides enterprise security, support, and services to commercial users of Ubuntu. Established in 2004, Canonical is a privately held company.


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