Linux Foundation launches LF Deep Learning for open source AI

deep learning open source
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The Linux Foundation has launched the LF Deep Learning Foundation, an umbrella organization that will support and sustain open source innovation in AI, machine learning, and deep learning, with the aim of making them available to developers and data scientists everywhere.

Like other Linux Foundation projects, LF Deep Learning is an open-source project that intends to create a neutral space where makers and sustainers of tools and infrastructure can interact and harmonize their efforts, and ultimately accelerate broad adoption of deep learning technologies.

Founding members include Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE.

First out of the gate for the new foundation is the Acumos AI Project, a platform for developing and sharing AI models and workflows, with initial code for the project being contributed by AT&T and Tech Mahindra. The code is available for download now.

The Acumos AI project’s mission is to make AI accessible to all by making it easy to create, share, discover, and apply machine learning, deep learning, and analytics models, said Jim Zemlin, executive director at The Linux Foundation.

“An open and federated AI platform like the Acumos platform allows developers and companies to take advantage of the latest AI technologies and to more easily share proven models and expertise,” Zemlin said in a statement. “Acumos will benefit developers and data scientists across numerous industries and fields, from network and video analytics to content curation, threat prediction, and more.”

The Linux Foundation will host the Acumos AI platform and later the Acumos Marketplace to nurture an active, large ecosystem around the project to sustain it in the long term.

Zemlin also said LF Deep Learning is anticipating future project contributions from Baidu and Tencent.

Baidu’s EDL project enhances Kubernetes with elastic scheduling and uses PaddlePaddle’s fault-tolerable feature to improve the overall utilization of Kubernetes clusters.

Tencent’s Angel project – a distributed machine-learning platform jointly developed by Tencent and Peking University – is designed for big data models.

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