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Press Release

LF AI Delivers Acumos AI Clio Release

By Blog, Press Release

Third Acumos AI release adds and extends Model On Boarding, Design Studio, Federation, License Management

San Francisco – November 26, 2019 – The LF AI Foundation, the organization building an open AI community to drive open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), today announced the third software release of the Acumos AI Project, codenamed Clio. Clio is focused on improving the experience with users for “first hand” feature requests like how to easily on board AI models, how to design and manage support for pluggable frameworks, how to more easily handle federation with ONAP and O-RAN, license management, and more.

Acumos AI is a platform and open source framework that makes it easy to build, share, and deploy AI apps. Acumos standardizes the infrastructure stack and components required to run an out-of-the-box general AI environment. This frees data scientists and model trainers to focus on their core competencies and accelerates innovation.

“Clio is an important step forward in the democratization of AI, making open source AI technology available and easily utilized and not limited to AI specialists and Data Scientists. The features introduced in this new Acumos release continue to pave the path towards AI accessibility, further extending users’ ability to build and share AI applications more easily,” said Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation. “Clio marks a higher level of maturity; this is deployment grade. If you’re considering Acumos AI, we invite you to experiment with it and experience the live instance of the marketplace available from https://marketplace.acumos.org,”

Major highlights of the Clio release include:

  • ONAP Integration: Acumos AI/ML models can now be used in ONAP for virtualized network elements automation and optimization.
  • ORAN 5G RIC/XApp Deployment: Acumos AI/ML models can be deployed in ORAN RIC as XApp micro services to help optimize virtualized RAN.
  • IPR/Cross Company Licensing Entitlement: Companies can publish commercial models and negotiate license agreements for use of their models. Implementation of a new License Usage Manager feature enables the support of license entitlements for Acumos models.
  • Data/Training Pipelines: New feature to help data scientists create, integrate and deploy NiFi data pipelines.
  • Pluggable MLWB Framework: Enterprise Design Tools are now Integrated to support pluggable framework.
  • Support for C/C++ Client: Acumos has added the ability to onboard and deploy ML models in C and C++ languages (in additional to Java, Python, and R).
  • Onboarding Spark/Java: Acumos can now take advantage of the popular Apache Spark cluster computing framework when onboarding and deploying ML models.
  • Model Ratings: Automated way of assigning initial ratings to models based on available metadata.
  • Enhanced Platform Adaptation on Kubernetes: Through integration of a Jenkins server as a workflow engine, Acumos now supports customization to meet Operator needs in mission-critical business functions such as how Acumos ML solutions are assessed for compliance with license and security policies, and where/how Acumos ML solutions are deployed for use under Kubernetes.

“LF AI members, including Amdocs, ATT, Ericsson, Huawei, Nokia, Tech Mahindra, and others are contributing to the evolution of the platform to ease the onboarding and the deployment of AI models,” said Dr. Ofer Hermoni, Chair of LF AI Technical Advisory Council. “Acumos was the first hosted project at the Graduate level with several ongoing efforts to integrate it with other LF AI projects. This highlights an increase in collaboration across hosted projects, serving our mission to reduce redundancies, and increase cross pollination and harmonization of efforts across projects.”

Full release notes available here: https://wiki.acumos.org/display/REL/Acumos_Clio_Release

Supporting Quotes

“Since the days of Claude Shannon, AT&T has played an active role in the evolution of AI. And, Acumos is a shining example of how open collaboration and community engagement can excel this evolution faster than ever before,” said Mazin Gilbert, Vice President of Advanced Technology and Systems at AT&T. “We’re thrilled to work with industry leaders to make AI better, smarter and more accessible to everyone.”

Sachin Desai, LF AI Board Member and Ericsson VP of Global AI Accelerator said, “Open Source contributions and collaborations are critical aspects of Ericsson’s AI journey. We are excited to contribute to Acumos Clio release in areas such as licensing and integration with ONAP, related to its commercialization and industrialization to address the needs of our customers. We look forward to building on this in collaboration with our customers and Acumos ecosystem partners.”

“Huawei congratulates the successful delivery of Acumos Clio release. The Acumos-ONAP Integration work will enable model-driven intelligence to enhance the network orchestration and automation. This deliverable can rapidly automate new services and support complete lifecycle management,” said Bill Ren, Chief Open Source Liaison Officer, Huawei.

“Nokia welcomes the third release of Acumos, Clio. We find that the community has been very successful in continuing improving Acumos over the past releases, and the Clio release shows dedication of the Acumos community,” said Jonne Soininen, Head of Open Source Initiatives, Nokia. “Nokia believes Acumos occupies a unique place in the industry, and this successful cooperation shows the power of working together on AI in open source.”

“Orange is proud to contribute to the LF AI Acumos project as we are convinced that this Open Source Machine learning platform will cover some important future AI needs of telecom operators in the field of 5G and virtualized networks,” said Emmanuel Lugagne Delpon, SVP Orange Labs Networks and Group CTO. “With Clio, a new step has been passed toward the full automated deployment of AI model in open source platform such as ONAP & ORAN and we are very impatient to use these new features in our Orange AI Marketplace.”

“Tech Mahindra is excited to see Acumos reaching its third major milestone with the release of Clio. As part of our TechMNxt charter, co-innovation and co-creation in the field of AI & ML are one of our key focus areas, and we will continue to work towards the enhancement of Acumos platform,” said Sachin Saraf, SVP and VBU Head, CME Business, Tech Mahindra. “Our enterprise grade solutions are playing a key role in accelerating the adoption of Linux Foundation Artificial Intelligence open source projects.”

Acumos AI Key Statistics

  • 8 Projects
  • 62 Repositories
  • 1.27M+ lines of code
  • 4K+ Commits
  • 84 Contributors
  • 78 Reviewers

Acumos Resources

About LF AI Foundation

The LF AI Foundation, a Linux Foundation project, accelerates and sustains the growth of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) open source projects. Backed by many of the world’s largest technology leaders, LF AI is a neutral space for harmonization and ecosystem engagement to advance AI, ML and DL innovation. To get involved with the LF AI Foundation, please visit https://lfai.foundation.

About The Linux Foundation

Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world’s leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation’s projects are critical to the world’s infrastructure including Linux, Kubernetes, Node.js, and more. The Linux Foundation’s methodology focuses on leveraging best practices and addressing the needs of contributors, users and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.

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The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

LF AI Welcomes ONNX, Ecosystem for Interoperable AI Models, as Graduate Project

By Blog, Press Release

Active contributors to ONNX code base include over 30 blue chip companies in AI including Amazon, Facebook, Intel®, Microsoft, NVIDIA

San Francisco – November 14, 2019 – The LF AI Foundation, the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), is announcing today the Open Neural Network eXchange (ONNX) is its newest graduate level project. Moving ONNX under the umbrella of LF AI governance and management is viewed as a key milestone in establishing ONNX as a vendor-neutral open format standard. 

ONNX is an open format used to represent machine learning and deep learning models. An ecosystem of products supporting ONNX provides AI capabilities like model creation and export, visualization, optimization, and acceleration capabilities. Among its many advantages, ONNX provides portability, allowing AI developers to more easily move AI models between tools that are part of trusted AI/ML/DL workflows. 

“We are pleased to welcome ONNX to the LF AI Foundation. We see ONNX as a key project in the continued growth of open source AI,” said Mazin Gilbert, Chair of the LF AI Foundation Governing Board. “We are committed to expanding open source AI, and supporting trust, transparent and accessible community development.”

“ONNX is not just a spec that companies endorse, it’s already being actively implemented in their products. This is because ONNX is an open format and is committed to developing and supporting a wide choice of frameworks and platforms. Joining the LF AI shows a determination to continue on this path, and will help accelerate technical development and connections with the wider open source AI community around the world,” said Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation. “We’re happy to provide ONNX an independent home and work with the community to boost its profile as a vendor neutral standard. ONNX will retain its existing OSI-approved open source license, its governance structure and their established development practices. We are committed to providing ONNX with a host of supporting services especially in the area of marketing and community events to extend its reach and adoption.”

The ONNX community was established in 2017 by Facebook and Microsoft to create an open ecosystem for interchangeable models. Support for ONNX has grown to over 30 registered companies, plus many more end user companies, around the world. ONNX is a mature project with 138 contributors, over 7K stars and over 1K forks. 

“Huawei welcomes the ONNX project joining LF AI. As one of the initial premier members of the LF AI Foundation as well as an early member of the ONNX community, Huawei has been fully supportive throughout the entire process,” said XiaoLi Jiang, GM of Open Source Ecosystem in Huawei, “ONNX as model exchange format standard is a great addition for interoperability which enables broader collaboration for LF AI. Huawei will continue to increase our open source investments and collaborate with the open source community to advance the application and the development in Artificial Intelligence.”

“IBM is delighted to see the ONNX community joining the Linux Foundation as it will encourage accelerated development in the space. ONNX allows the transfer of models between deep learning frameworks and simplifies the deployment of trained models to inference servers in hybrid cloud environments via Watson Machine Learning. In addition, provides a standardized format to run models on both Watson Machine Learning Accelerator and IBM Z that benefit from IBM Power, enabling clients to infuse deep learning insights into transactions as they occur,” said Steven Eliuk, IBM Vice President, Deep Learning & Governance Automation, IBM Global Chief Data Office.

“Intel is committed to support ONNX in our software products such as nGraph, Intel® Distribution of the OpenVINO™ Toolkit, and PLAIDML to provide acceleration on existing Intel hardware platforms and upcoming deep learning ASICs,” said Dr. Harry Kim, Head of AI Software Product Management.  “Developers from Intel have already contributed to defining quantization specs and large model support for ONNX, and we expect even more contributions to the project as ONNX joins the Linux Foundation.”

“We’re thrilled that the Linux Foundation has selected ONNX to expand open source AI capabilities for developers,” said Eric Boyd, corporate vice president, AI Platform, Microsoft Corp. “Microsoft has been deeply committed to open source and continues to invest in tools and platforms that empower developers to be more productive. We use ONNX across our product portfolio – such as Azure AI – to deliver improved experiences to consumers and developers alike.”

“NVIDIA GPUs and TensorRT offer a programmable, high-performance platform for inference. The ONNX open format complements these and benefits from wide adoption within the AI ecosystem,” said Rob Ober, chief platform architect for Data Center Products at NVIDIA. “As an active contributor to ONNX, we’re glad to see the project join the Linux Foundation and look forward to industry-wide collaboration and innovation.”

For more information on getting involved immediately with ONNX, please see the following resources:

ONNX GitHub: https://github.com/onnx/
Discussions: https://gitter.im/onnx/
DockerHub: https://hub.docker.com/r/onnx/onnx-ecosystem
Main Site: https://onnx.ai
Twitter: https://twitter.com/onnxai
Facebook: https://facebook.com/onnxai

Companies that have already implemented ONNX in products include Alibaba, AMD, Apple, ARM, AWS, Baidu, BITMAIN, CEVA, Facebook, Graphcore, Habana, HP, Huawei, IBM, Idein, Intel, Mathworks, Mediatek, Microsoft, NVIDIA, NXP, Oath, Preferred Networks, Qualcomm, SAS, Skymizer, Synopsys, Tencent, Xiaomi, Unity.

LF AI Resources

About LF AI Foundation

The LF AI Foundation, a Linux Foundation project, accelerates and sustains the growth of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) open source projects. Backed by many of the world’s largest technology leaders, LF AI is a neutral space for harmonization and ecosystem engagement to advance AI, ML and DL innovation. To get involved with the LF AI Foundation, please visit https://lfai.foundation.

About Linux Foundation 

Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world’s leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation projects like Linux, Kubernetes, Node.js and more are considered critical to the development of the world’s most important infrastructure. Its development methodology leverages established best practices and addresses the needs of contributors, users and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.

# # #

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.

The Linux Foundation’s Artificial Intelligence Community Announces New Acumos Release Focused on Creation of AI/ML Models

By Press Release

Second release of Acumos under the LF AI Foundation includes new pipeline tools to support creation and training of AI/ML models, points to adoption by telecom providers and vendors around the globe

San Francisco, Calif., June 24, 2019 – The LF AI Foundation, the organization building an open AI community to drive open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), today announced the new release of Acumos code named Boreas. This latest release of the open source framework and marketplace will enable the creation, training and license verification of AI, ML and DL models and apps, among other benefits to the community of developers and data scientists.

“The technology industry is on the precipice of a major technological shift with AI, which is exactly the point in any technology evolution where open source software and community can accelerate development,” said Ibrahim Haddad, executive director of LF AI Foundation. “An open source framework that is iterated upon early and often is key in transforming the development work for data scientists and developers, and Acumos is that foundation for innovation.”

Acumos AI is a platform and open source framework that makes it easy to build, share, and deploy AI apps. Acumos standardizes the infrastructure stack and components required to run an out-of-the-box general AI environment. This frees data scientists and model trainers to focus on their core competencies and accelerates innovation.

Acumos is part of the LF AI Foundation, an umbrella organization within The Linux Foundation that supports and sustains open source innovation in AI, ML, and DL while striving to make these critical new technologies available to developers and data scientists everywhere.

The latest Acumos AI release includes:

  • Support for onboarding of ONNX, PFA and Dockerized models.
  • Enhanced Acumos platform peering through a controlled process of partner catalog publication and subscription.
    • Global catalog search capability
    • Federation of Catalogs
  • Support for AI/ML model suppliers to provide a commercial software license with their models in the Acumos marketplace.
    • Security scans of license metadata for models (Disabled with Security Verification turned off)
    • Support verification of licenses and Right-To-Use for commercial models**
    • Logging to enable model activity tracking and reporting
  • Support for ML Workbench to allow the creation and training of AI/ML models in Acumos platform.           
    • Support for Notebooks development environment (Jupyter)
    • Support for Pipeline (NiFi) tools are integrated with Acumos (NiFi Pipeline tools are available as a Beta Feature only under Kubernetes)
  • Enhanced user experience in portal.
    • Publishing, unpublishing, deploying , onboarding, model building, and chaining, etc.
  • Enhanced logging standards.
    • Log formats aligned with ONAP
    • Support for Log management tools
  • Enhanced support for deploying Acumos platform under Kubernetes.

Global Adoption of Acumos

Integration, adoption and deployment of Acumos around the world is well underway and demonstrates momentum for a common, open framework to accelerate innovation in the AI, ML and DL app space. Two key examples are Orange and Tech Mahindra. Orange is using Acumos for an AI Marketplace and is integrating the upcoming Acumos Clio release with ONAP in order to test it on ONAP OpenLab and the 5G research platform Plug’in. Orange’s contribution to the Acumos includes the Onboarding enhancements seen in Acumos Boreas. Tech Mahindra is integrating Acumos into a number of its initiatives. TechMahindra GAiA is the first enterprise-grade open source AI platform, hosting a marketplace of AI models for a wide group of industry verticals. These are used as the basis for building, sharing and rapidly deploying AI-driven services and applications to solve business critical problems.

Supporting Quotes

Amdocs

“Acumos Boreas represents a significant next step in open source AI and machine learning,” said Dr. Ofer Hermoni, Director of Product Strategy at Amdocs and Chair of the LF AI Technical Advisory Counsel. “With the ability to create and train models, we’re well on our way to providing all the essential tools for rapid innovation for data scientists and developers building AI and machine learning apps.”

AT&T

“The second release of Acumos exemplifies the progress we’ve made as a community, and AT&T is proud to be a founding member of the project,” said Mazin Gilbert, vice president of Advanced Technology & Systems, AT&T Labs. Together, we’re lowering the barrier to entry for artificial intelligence by driving a collaborative open source community for developers, students and scientists. We’re honored to be a part of this community and committed to continued use of Acumos inside AT&T.” 

Ericsson

“Open Source based AI platform capabilities and ecosystem are an important part of Ericsson’s 5G platform strategy to address the needs of our customers globally.” said Anita Frisell, VP Head of Technology Development and Execution and LF AI Board Member. “Key part of these capabilities is to enable creation and commercialization of AI based solutions. Boreas release of Acumos takes a big step towards achieving this objective. Ericsson is pleased to be a key contributor of the licensing and security features of the Boreas release in collaboration with AT&T and the community.”

Nokia

“Acumos with the Boreas Release offers a complete experience for ML modelers and model consumers beyond the marketplace. As a founding member of the LF AI, Nokia is excited about the possibilities of Acumos in powering ML model marketplaces around network automation and  evolved 5G RAN architecture’s near real-time RAN Intelligent Controller. We are working on several use cases together with our customers to help accelerate the adoption of AI based applications,” said Jonne Soininen, Head of Open Source Initiatives at Nokia.

Orange

“A unified development platform for AI was really needed. The Boreas release of Acumos AI is a major step forward. Orange has increased its involvement in Acumos in both execution and on-boarding. We have tested extensively the publication and exporting of AI models for operations use cases like incident detection and tickets classification and see Acumos as an excellent solution for the Orange AI Marketplace,” said Nicolas Demassieux, Senior Vice President, Orange Labs Research.

TechMahindra

“We are proud to be a key contributor to the Acumos Boreas release, another milestone towards creating a collaborative ecosystem for AI along with AT&T and LF. At Tech Mahindra we are committed to leveraging technologies like AI, both on IT and networks side to help our customers RUN better, CHANGE faster and GROW greater. TechMahindra’s GAiA, powered by Acumos is another testimony of how we are accelerating innovation in the AI space,” said Dr. Satish Pai, senior VP and SBU head, Americas Communications, Media and Entertainment, Tech Mahindra.

ZTE

“ZTE is excited to have witnessed the growth of Acumos in the past year. The Boreas release marks a significant step forward to break the barrier between model developers and model users with its flexible platform for model onboarding, designing, sharing and deploying, which will help create an ecosystem of AI in various vertical industries, especially in 5G. ZTE will continue to support the project and integrate it with our own AI solutions to accelerate 5G innovation with AI,” said Bingtao Han, Chief System Architecture Expert, ZTE.

About LF AI Foundation The LF AI Foundation, a Linux Foundation project, accelerates and sustains the growth of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) open source projects. Backed by many of the world’s largest technology leaders, LF AI is a neutral space for harmonization and ecosystem engagement to advance AI, ML and DL innovation. To get involved with the LF AI Foundation, please visit https://lfai.foundation

Pyro Probabilistic Programming Language Becomes Newest LF Deep Learning Project

By Press Release

Contributed by Uber, Pyro enables flexible and expressive deep probabilistic modeling

SAN FRANCISCO – February 21, 2019 – The LF Deep Learning Foundation (LF DL), a Linux Foundation project that supports and sustains open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), announces the Pyro project, started by Uber, as its newest incubation project. Built on top of the PyTorch framework, Pyro is a deep probabilistic programming framework that facilitates large-scale exploration of AI models, making deep learning model development and testing quicker and more seamless. This is the second project LF DL has voted in from Uber, following last December’s Horovod announcement.

Pyro is used by large companies like Siemens, IBM, and Uber, and startups like Noodle.AI, in addition to Harvard University, MIT, Stanford University, University of Oxford, University of Cambridge, and The Broad Institute. At Uber, Pyro solves a range of problems including sensor fusion, time series forecasting, ad campaign optimization and data augmentation for deep image understanding.

Pyro is the fifth project to join LF DL, which provides financial and intellectual resources, infrastructure, marketing, research, creative services and events support. This rich neutral environment spurs the rapid advancement of its projects, including Acumos AI, the Angel project, EDL project and Horovod, by encouraging additional contributors as well as broader collaboration across the open source community.

“The LF Deep Learning Foundation is excited to welcome Pyro to our family of projects. Today’s announcement of Uber’s contribution of the project brings us closer to our goal of building a comprehensive ecosystem of AI, machine learning and deep learning and projects,” said Ibrahim Haddad, Executive Director of the LF DL. “We look forward to helping to grow the community contributing to and using Pyro to further improve forecasting and other capabilities.”

Pyro was designed with four key principles in mind:

  • Universal: Pyro can represent any computable probability distribution.
  • Scalable: Pyro scales to large data sets with little overhead.
  • Minimal: Pyro is implemented with a small core of powerful, composable abstractions.
  • Flexible: Pyro aims for automation when you want it, control when you need it.

“Pyro was originally created at Uber AI Labs to help make deep probabilistic programming faster and more seamless for AI practitioners in both industry and academia,” said Zoubin Ghahramani, head of Uber AI Labs. “By incorporating Pyro into the LF DL portfolio, we hope to facilitate greater opportunities for researchers worldwide and make deep learning and Bayesian modeling more accessible.”

Pyro joins existing LF DL projects: Acumos AI, a platform and open source AI framework; Angel, a high-performance distributed machine learning platform based on Parameter Server; EDL, an Elastic Deep Learning framework designed to help cloud service providers to build cluster cloud services using deep learning frameworks; and Horovod, a distributed training framework for TensorFlow, Keras, and PyTorch.

Pyro Background
Pyro provides a language for probabilistic modeling and inference, together with well-tested scalable implementations of inference algorithms including Stochastic Variational Inference and Hamiltonian Monte Carlo. The project was developed at Uber AI Labs as a platform for research in deep Bayesian models, including Bayesian Neural Nets and amortized Bayesian inference. The project currently has nearly 1,500 commits from 50 committers, and is licensed under the MIT license. More information on Pyro can be found on the Uber Engineering Blog. Uber also recently joined the Linux Foundation as a Gold member and contributed Jaeger, an open source distributed tracing system, to the Cloud Native Computing Foundation.

Additional Resources

About LF Deep Learning
The LF Deep Learning Foundation, a Linux Foundation project, accelerates and sustains the growth of artificial intelligence, machine learning and deep learning open source projects. The LFDL portfolio of projects focuses on Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Backed by many of the world’s largest technology leaders, LF Deep Learning is a neutral space for harmonization and ecosystem engagement to advance AI, DL and ML innovation. To get involved with the LF Deep Learning Foundation, please visit https://www.deeplearningfoundation.org.  

About The Linux Foundation
The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

# # #

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

Media Contact
Nancy McGrory
The Linux Foundation
nmcgrory@linuxfoundation.org

Ericsson Joins Linux Foundation Deep Learning Group As Premier Member

By Press Release

SAN FRANCISCO – February 21, 2019 – The LF Deep Learning Foundation (LF DL), a Linux Foundation that supports and sustains open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), announces Ericsson has become the newest Premier Member. Ericsson, a global leader in delivering ICT solutions, has been at the forefront of communications technology for 140 years.

Ericsson has already begun contributing to the LF Deep Learning Foundation through the Acumos project, working with partners like AT&T, Orange and the broader community to solve complex problems surrounding 5G and IoT though AI and ML.

In addition to participating in LF DL, Ericsson is also a member of LF Networking, DPDK, the Cloud Native Computing Foundation and LF Edge Foundation. Ericsson is strongly committed to these future-forward technologies, and to that end the company has built a Global AI Accelerator focused on tackling the complex business problems of today and tomorrow.

Joining the LF Deep Learning Foundation as a Premier Member will provide Ericsson with a seat on the Board of Directors, as well as the Technical Advisory Council and Outreach Committee. Ericsson’s membership gives them the opportunity to contribute to and benefit from a neutral space where all players are working together to make rapid advancement on capabilities and tools that solve real problems for customers as our world becomes more and more connected.  

“Today and in the future, as we accelerate 5G commercialization, AI and ML technologies are necessary to solve operational efficiencies and real-time decision making challenges in a trustworthy, reliable and secure way,” said Anita Frisell, VP, Head of Technology Development & Execution at Ericsson. “Collaboration is in our DNA at Ericsson and we see real value in being part of the LF Deep Learning Foundation and the open source community. We look forward to taking an active role in supporting the growth and evolution of the fast-growing open source AI and ML ecosystem, working with leaders across the industry to solve the complex challenges ahead.”

“We are very pleased to welcome Ericsson to the LF Deep Learning Foundation,” said Ibrahim Haddad, LF Deep Learning Foundation Executive Director. “We are creating a sustainable open source AI ecosystem that makes it easier to create AI products and services using open technologies and look forward to having Ericsson play a role in contributing to that effort.”

With the addition of Ericsson the LF DL board includes: Amdocs, AT&T, Baidu, Ericsson, Huawei, Nokia, Tech Mahindra, Tencent and ZTE. The LF Deep Learning Foundation is currently focused on a variety of projects including Acumos, a platform and open source framework that makes it easy to build, share and deploy AI apps; Angel ML, a flexible and Powerful Parameter Server for large-scale machine learning; EDL, an Elastic Deep Learning framework designed to help cloud service providers to build cluster cloud services using deep learning frameworks; Horovod, a framework for distributed training across multiple machines and Pyro, a deep probabilistic programming framework that facilitates large-scale exploration of AI models.

About  Ericsson
Ericsson enables communications service providers to capture the full value of connectivity. The company’s portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency and find new revenue streams. Ericsson’s investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world. The Ericsson stock is listed on Nasdaq Stockholm and on Nasdaq New York. www.ericsson.com.

About LF Deep Learning
The LF Deep Learning Foundation, a Linux Foundation project, accelerates and sustains the growth of artificial intelligence, machine learning and deep learning open source projects. Backed by many of the world’s largest technology leaders, LF Deep Learning is a neutral space for harmonization and ecosystem engagement to advance AI, DL and ML innovation. To get involved with the LF Deep Learning Foundation, please visit https://www.deeplearningfoundation.org. Our open source AI landscape is available at  https://l.lfdl.io

About The Linux Foundation
The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and commercial adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.
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The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage.

Linux is a registered trademark of Linus Torvalds.

Media Contact
Nancy McGrory
The Linux Foundation
nmcgrory@linuxfoundation.org

Horovod

LF Deep Learning Welcomes Horovod Distributed Training Framework as Newest Project

By Press Release

Contributed by Uber, Horovod makes distributed deep learning fast and easy to use

SEATTLE – KubeCon + CloudNativeCon North America – December 13, 2018 – The LF Deep Learning Foundation, a community umbrella project of The Linux Foundation that supports and sustains open source innovation in artificial intelligence, machine learning, and deep learning, announces the Horovod project, started by Uber, as its newest project. Horovod, a distributed training framework for TensorFlow, Keras and PyTorch, improves speed, scale and resource allocation in machine learning training activities.

“The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine learning projects. Today’s announcement of Uber’s contribution of the Horovod project represents significant progress toward achieving this vision,” said Ibrahim Haddad, Linux Foundation Director of Research. “This project has proven highly effective in training machine learning models quickly and efficiently, and we look forward to working to further grow the Horovod community and encourage adoption of this exciting project.”

Horovod makes it easy to take a single-GPU TensorFlow program and successfully train it on many GPUs faster. Horovod also achieved significantly improved GPU resource usage figures. The project uses advanced algorithms and leverages features of high-performance networks to provide data scientists, researchers and AI developers with tooling to scale their deep learning models with ease and high performance. In benchmarking Horovod against standard distributed TensorFlow, Uber has observed large improvements in its ability to scale, with Horovod coming in roughly twice as fast.

Real-world activities Uber has used Horovod to support include self-driving vehicles, fraud detection, and trip forecasting. It is also being used by Alibaba, Amazon and NVIDIA. Contributors to the project outside Uber include Amazon, IBM, Intel and NVIDIA.

“Uber built Horovod to make deep learning model training faster and more intuitive for AI researchers across industries,” said Alex Sergeev, Horovod Project Lead. “In this spirit, we are honored to contribute Horovod to the deep learning community as the LF Deep Learning Foundation’s newest project. As Horovod continues to mature in its functionalities and applications, this collaboration will enable us to further scale its impact in the open source ecosystem for the advancement of AI.”

Horovod joins existing LF Deep Learning projects: Acumos AI, a platform and open source AI framework; Angel, a high-performance distributed machine learning platform based on Parameter Server; and EDL, an Elastic Deep Learning framework designed to help cloud service providers to build cluster cloud services using deep learning frameworks. Horovod complements these existing projects and future collaboration is anticipated between them.

Horovod Background

Contributed to the LF Deep Learning Foundation by Uber, the project currently has 175 commits from 26 committers, and is licensed under Apache-2.0.

Horovod, which has secured a Linux Foundation Core Infrastructure Initiative Best Practices Badge, is also included in deep learning distributions including AWS Deep Learning AMI, Azure Data Science VM, Databricks Runtime, GCP Deep Learning VM, IBM FfDL, IBM Watson Studio and NVIDIA GPU Cloud. More information on Horovod can be found on the Uber Engineering blog and in this Q&A with Horovod creator, Alex Sergeev.

Following recent news of Uber joining the Linux Foundation as a Gold member, Uber continues to deepen its contributions to open source technology. Another hallmark open source technology from Uber, Jaeger, is a Cloud Native Computing Foundation project.

Organizations and developers interested in contributing projects and learning more about LF Deep Learning Foundation, can go to www.deeplearningfoundation.org.

About LF Deep Learning

The LF Deep Learning Foundation, a Linux Foundation project, accelerates and sustains the growth of artificial intelligence, machine learning and deep learning open source projects. The initiative’s Acumos AI Project is a platform and open source framework that makes it easy to build, share and deploy AI models. Backed by many of the world’s largest technology leaders, LF Deep Learning is a neutral space for harmonization and ecosystem engagement to advance AI, DL and ML innovation. To get involved with the LF Deep Learning Foundation, please visit https://www.deeplearningfoundation.org.

About The Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

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The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

LF Deep Learning Delivers First Acumos AI Release Making it Easier to Deploy and Share Artificial Intelligence Models

By Press Release

First Acumos AI release enables deployment of AI applications in private/public cloud environments, and enhances the platform user interface experience

SHANGHAI (KUBECON + CLOUDNATIVECON CHINA) – November 14, 2018 – The LF Deep Learning Foundation, a project of The Linux Foundation that supports open source innovation in artificial intelligence (AI), machine learning (ML), and deep learning (DL), today announced the availability of its first software release of the Acumos AI Project – Athena.

Acumos AI is a platform and open source framework that makes it easy to build, share and deploy AI applications. Acumos AI standardizes the infrastructure stack and components required to run an out-of-the-box general AI environment. This frees data scientists and model trainers to focus on their core competencies and accelerate innovation.

“The Acumos Athena release represents a significant step forward in making AI models more accessible for builders of AI applications and models along with users and trainers of those models and applications,” said Scott Nicholas, senior director of strategic planning at The Linux Foundation. “This furthers the goal of LF Deep Learning and the Acumos project of accelerating overall AI innovation.”

Major highlights of the Athena release include:

  • One-click deployment of the platform utilizing Docker or Kubernetes;
  • The ability to deploy models into a public or private cloud infrastructure or in a Kubernetes environment on users’ own hardware including servers and virtual machines;
  • A design studio, which is a graphical interface for chaining together multiple models, data translation tools, filters and output adapters into a full end-to-end solution;
  • Use of a security token to allow simple onboarding of models from an external toolkit directly to an Acumos AI repository;
  • Decoupling of microservices generation from the model onboarding process to easily repurpose models for different environments and hardware; and
  • An advanced user portal with the ability to personalize marketplace view by theme, data on model authorship as well as to share models privately or publicly and user experience upgrades.

All of these features are designed to make it quick and easy to get started deploying and sharing Acumos AI applications.

Full release notes can be accessed at https://wiki.acumos.org/display/REL/Athena+Release.

“LF Deep Learning members, including Amdocs, AT&T, Orange, Tech Mahindra and others, are contributing to the evolution of the platform to ease the onboarding and the deployment of AI models,” said LF Deep Learning Outreach Committee Chair Jamil Chawki. “The Acumos AI Marketplace, a catalog of community-contributed AI models with common APIs that can be shared securely across multiple systems, remains open and accessible to anyone who wishes to download or contribute models and applications.”

“The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine learning projects, and today’s announcement represents a significant milestone toward achieving this vision,” said LF Deep Learning Technical Advisory Council Chair Ofer Hermoni of Amdocs.

“We’re already inspired and energized by the progress of the Acumos AI Project since its initial launch earlier this year,” said Mazin Gilbert, Vice President of Advanced Technology and Systems at AT&T and Governing Board Chair of LF Deep Learning. “Athena is the next step in harmonizing the AI community, furthering adoption and accelerating innovation.”

What’s Next for Acumos AI

The developer community for Acumos AI is already working on the next release, which will be available in mid-2019, introducing convenient model training as well as data extraction pipelines to make models more flexible. Additionally, the next release will include updates to assist closed-source model developers, including secure and reliable licensing components to provide execution control and performance feedback across the community.

Organizations interested in contributing projects and more information about LF Deep Learning Foundation, can go to www.deeplearningfoundation.org.

Supporting Quotes

“Amdocs is proud to be an active member of The Linux Foundation, and in particular, a Founding Member of the Acumos AI project. The Acumos AI Athena release is a big milestone for open source AI and its role in driving intelligence, automation and machine learning in the communication and media industries.  Acumos AI is positioned to become the de-facto marketplace for machine learning models, both for open source as well as peer to peer (company to company) models, delivering faster time to innovation.” – Anthony Goonetilleke, Group President of Amdocs Technology

“As one of the founding members of LF Deep Learning Foundation, Huawei is excited to see this growing AI developer ecosystem continue to help the Acumos AI platform mature, and reach the first major technical milestone – the Acumos Athena release! The Acumos project offers significant value to Huawei SoftCOM AI strategy – building autonomous networks with the goal of automation, self-optimization, and self-healing to help operators significantly improve network utilization and maintenance efficiency. Huawei is proud to be part of this project and will continue to work with the Acumos developer community to further enhance the Acumos AI platform and unleash the power that AI can bring to our operators.” – Xiaoli Jiang, GM, Cloud Open Source Development Team, Huawei

“Orange has been actively involved in Acumos since April 2018 through a Project Team Leader for the model onboarding module to manage and drive evolutions in the onboarding capabilities. This involvement shows the willingness of Orange to take part and promote the AI ecosystem in the telecom domain. Orange also considered the coherency of integrating Acumos in the continuity of all the works performed in the network automation LFN/ONAP project. Acumos is seen as a common platform that can bridge existing AI technologies and new ones through its openness. It can also favor cross business AI-based developments through its federative approach and thanks to its marketplace.” – François Jezequel, Head of ITsation, Procurement and Operators, Orange

“As a key contributor to the Acumos Athena release we are excited to foster a collaborative ecosystem through the Acumos AI Marketplace. It is also a testimony to our COPA framework (Co-Create using Open Source to create Platforms and bring in Automation and AI). With companies and customers increasingly adopting Acumos, industrialization of AI through a common standard and marketplace like Acumos is bound to gain more traction.” – Dr. Satish Pai Sr. Vice President, Americas Communications, Media and Entertainment, Tech Mahindra

About LF Deep Learning

The LF Deep Learning Foundation, a Linux Foundation project, accelerates and sustains the growth of artificial intelligence, machine learning and deep learning open source projects. Backed by many of the world’s largest technology leaders, LF Deep Learning is a neutral space for harmonization and ecosystem engagement to advance AI, DL and ML innovation. To get involved with the LF Deep Learning Foundation, please visit https://www.deeplearningfoundation.org.

About The Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

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The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

LF Deep Learning Adds Two New Framework Projects to Expand Community and Ecosystem

By Press Release

Angel     Elastic Deep Learning

Contributed by Baidu and Tencent, new projects accelerate machine learning, artificial intelligence and deep learning innovation and opportunity

SAN FRANCISCO and RIO DE JANEIRO (VLDB 2018) – August 27, 2018 – The LF Deep Learning Foundation, a community umbrella project of The Linux Foundation that supports and sustains open source innovation in artificial intelligence, machine learning, and deep learning, announces that two additional projects have been accepted into the foundation: the Angel Project and the EDL Project. The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine learning projects, and today’s announcement represents a significant milestone toward achieving this vision.

The new LF Deep Learning Foundation includes the Acumos AI platform and open source framework that makes it easy to build, share and deploy AI apps. With these two new projects, the Foundation adds technology finely tuned for big data and deep learning via clusters with Baidu’s PaddlePaddle and Kubernetes container orchestration.

Angel Project Background

The Angel Project is a high-performance distributed machine learning platform based on Parameter Server, running on YARN and Apache Spark. It is tuned for performance with big data and provides advantages in handling higher dimension models. It supports big and complex models with billions of parameters, partitions parameters of complex models into multiple parameter-server nodes and implements a variety of machine learning algorithms using efficient model-updating interfaces and functions, as well as flexible consistency models for synchronization.

Contributed to the LF Deep Learning Foundation by member Tencent, the project currently has more than 1,000 commits and is licensed under Apache-2.0.

“Angel shares a common goal with the LF Deep Learning Foundation: to make deep learning easier to use. By becoming a part of the LF Deep Learning Foundation, we believe Angel will be more active in the open source community, accumulate more use cases, expand usage scenarios and actively cooperate with other partners,” said Xiaolong Zhu, Tencent senior AI researcher and TAC member of the LF Deep Learning Foundation. “As a new project under the Foundation, Angel will continue working on a consistent and continuous user experience to make deep learning technology easier to apply and develop.”

The system is designed for efficient iteration computation, so that machine learning algorithms can benefit from it. Algorithms in Angel are out-of-the-box so analysts and data scientists can submit jobs without writing a single line code.

EDL Project Background

EDL is an Elastic Deep Learning framework designed to help deep learning cloud service providers to build cluster cloud services using deep learning frameworks such as PaddlePaddle and TensorFlow.

EDL includes a Kubernetes controller, PaddlePaddle auto-scaler, which changes the number of processes of distributed jobs to the idle hardware resource in the cluster, and a new fault-tolerable architecture.

Contributed by member Baidu, the project currently has nearly 1,000 commits and uses the Apache-2.0 license.

“We are excited to see that EDL has been accepted to LF Deep Learning Foundation,” said Yanjun Ma, Head of Deep Learning Technology Department, Baidu. “As an elastic deep learning framework for PaddlePaddle, we believe that EDL will substantially benefit the deployment of large-scale deep learning services, and the broader deep learning open source community.”

Organizations interested in contributing projects and learning more about LF Deep Learning Foundation, can go to www.deeplearningfoundation.org.

About LF Deep Learning

The LF Deep Learning Foundation, a Linux Foundation project, accelerates and sustains the growth of artificial intelligence, machine learning and deep learning open source projects. The initiative’s Acumos AI Project is a platform and open source framework that makes it easy to build, share and deploy AI models. Backed by many of the world’s largest technology leaders, LF Deep Learning is a neutral space for harmonization and ecosystem engagement to advance AI, DL and ML innovation. To get involved with the LF Deep Learning Foundation, please visit https://www.deeplearningfoundation.org.

About The Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

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The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

The Linux Foundation Announces the Acumos AI Challenge for Developers

By Press Release
Acumos AI Challenge

Seeking Innovative and Ground-Breaking Artificial Intelligence Solutions

SAN FRANCISCO, May 31, 2018The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the Acumos AI Challenge, sponsored by AT&T and Tech Mahindra. The Acumos AI Challenge is an open source developer competition seeking innovative, ground-breaking artificial intelligence (AI) solutions from students, developers, and data scientists. The Acumos AI Challenge will foster development of AI models for the Acumos AI Project, an AI project of The Linux Foundation and supported by The Linux Foundation’s LF Deep Learning Foundation.

AT&T and Tech Mahindra are awarding $100,000 in prizes, as well as the chance for finalists to travel to San Francisco to pitch their solutions during the finals on September 11, 2018. All eligible AI solutions will be available as open source in the Acumos Marketplace.

“We created the Acumos AI Challenge to recognize developers who are paving the future of AI development, and helping to accelerate AI adoption and innovation,” said Mazin Gilbert, VP of Advanced Technology, AT&T.

The Acumos AI Project is a federated platform for managing AI and machine learning (ML) applications and sharing AI models. AT&T and Tech Mahindra contributed the initial Acumos code, now freely available for download, to the new LF Deep Learning Foundation, a project of The Linux Foundation that supports open source innovation in artificial intelligence, machine learning and deep learning. With the Acumos platform, developers and data scientists gain a new industry standard for making AI applications and models reusable and easily accessible.

“This Challenge provides a fantastic opportunity for developers to start to dig into Acumos in order to ramp up adoption and collaboration,” said Linux Foundation Executive Director Jim Zemlin. “The Acumos AI project was started by the LF Deep Learning Foundation community in order to provide a platform for developers and data scientists to freely share AI models and applications, so they are reusable and easily accessible.”

The Acumos AI Challenge is seeking AI solutions across all uses cases. Examples include, but are not limited to:

  • 5G & SDN – Apps that improve the overall performance and efficiencies of 5G networks and Software-Defined Networking.
  • Media & Entertainment – AI models targeting a media or entertainment use case. Examples include solutions for broadcast media, internet, film, social media, ad campaign analysis, video and image recognition, speech and sound recognition, video insight tools and more.
  • Security – AI apps around network security use cases such as advanced threat protection, cyber security, IoT security, etc.
  • Enterprise Solutions – AI models targeting an enterprise use case, including solutions for Automotive, Home Automation, Infrastructure and IoT.

The top three teams will each receive $25,000 cash, plus a trip to the finals in San Francisco in September. The team that wins the finale will take home an additional $25,000 grand prize, for a total of $50,000.

“The Acumos AI Challenge is an opportunity for the AI development community to create cutting-edge solutions with Acumos,” said Ashish Julka, Senior Vice President, Tech Mahindra. “We can tackle large problems with Acumos, and this initiative will yield innovative ideas to accelerate AI adoption across enterprises, and help them stay efficient and profitable.”

The Acumos AI Challenge is accepting submissions between May 31 – August 5, 2018. The competition is open to U.S., District of Columbia and Puerto Rico residents of a majority age. Teams are required to submit a working AI model, test dataset and a demo video under three minutes. Teams can register for the Challenge beginning May 31, 2018. We encourage you to register early so that you can begin to plan and build your solution and create your demo video.

The Linux Foundation is hosting the Acumos platform and Acumos Marketplace and is focused on nurturing an active, large community around the project. To learn more, visit https://www.acumos.org.

About The Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage.

Linux is a registered trademark of Linus Torvalds.

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The Linux Foundation and Open Source Community Members Launch LF Deep Learning to Drive Open Source Growth In AI

By Press Release

Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE come together to speed adoption of deep learning, artificial intelligence, and machine learning

LOS ANGELES (Open Networking Summit), March 26, 2018The Linux Foundation today launched the LF Deep Learning Foundation, an umbrella organization that will support and sustain open source innovation in artificial intelligence, machine learning, and deep learning while striving to make these critical new technologies available to developers and data scientists everywhere.

Founding members of LF Deep Learning include Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE. With LF Deep Learning, members are working to create a neutral space where makers and sustainers of tools and infrastructure can interact and harmonize their efforts and accelerate the broad adoption of deep learning technologies.

“We are excited to offer a deep learning foundation that can drive long-term strategy and support for a host of projects in the AI, machine learning, and deep learning ecosystems,” said Jim Zemlin, executive director of The Linux Foundation. “With LF Deep Learning, we are launching the Acumos AI Project, a comprehensive platform for AI model discovery, development and sharing. In addition, we are pleased to announce that Baidu and Tencent each intend to contribute projects to LF Deep Learning. LF Deep Learning enables the open source community to support entire ecosystems of projects in these spaces, and we invite the open source community to join us in this effort.”

As part of the LF Deep Learning launch, The Linux Foundation today announced the Acumos AI Project, a platform for the development, discovery, and sharing of AI models and AI workflows. Initial code for the Acumos AI Project has been contributed by AT&T and Tech Mahindra.

The project strives to make the power of AI accessible to all by making it easy to create, share, discover, and apply machine learning, deep learning, and analytics models. The Linux Foundation will host the Acumos AI platform and the Acumos Marketplace moving forward with the goal of nurturing an active, large ecosystem around the project to sustain it over the long term. Code is available for download as of today.

In addition to the Acumos AI Project, LF Deep Learning anticipates future project contributions from Baidu and Tencent, among others. Baidu’s EDL project enhances Kubernetes with the feature of elastic scheduling and uses PaddlePaddle’s fault-tolerable feature to significantly improve the overall utilization of Kubernetes clusters. Tencent’s Angel project, a high-performance distributed machine-learning platform jointly developed by Tencent and Peking University, is tuned for big data/models. It is capable of supporting over a billion parameters.

Industry Support for LF Deep Learning

Amdocs, AT&T, B.Yond, Baidu, Huawei, Nokia, Tech Mahindra, Tencent, Univa, and ZTE are founding members of the new foundation.

“Amdocs is proud to be a founding member of Linux Foundation’s Deep Learning and the Acumos project as they signify a new AI frontier bringing intelligence and automation to the communications and media industry. AI is already transforming business models and delivering contextual customer engagements, creating new opportunities for service providers, content developers and other industry players to build the enterprise applications that will run our increasingly digital society. Amdocs has been investing in AI for years, with a particular focus in delivering personalized digital engagements, and by providing core systems of engagement that impact billions of consumers worldwide. As a result, we are well positioned to contribute valuable insights to this project–both from the traditional customer experience and network perspective, as well as from the entertainment and media perspective, enabled by our media division which works with over one thousand content creators and distributors world-wide. What makes Acumos so exciting is that the industry leaders will be bringing innovative data-driven insights and technology from global sources to empower experiences with cutting-edge AI-enabled capabilities.”

— Anthony Goonetilleke, group president of Amdocs Technology

“AT&T is honored to be a founding member of the LF Deep Learning Foundation. This organization will encourage collaboration and harmonization, paving the way for accelerated innovation and increased adoption of these new technologies.”

— Mazin Gilbert, vice president of Advanced Technology at AT&T Labs

“At B.Yond, we believe artificial intelligence (AI) is a central enabler of The Infinite Network and is required to deliver the low-touch network management needed to support emerging applications. We are excited to join the LF Deep Learning Foundation project and help drive innovation with the Acumos AI Project.”  

— Paul-Andre Raymond, senior vice president, Technology, B.Yond

“Huawei is very pleased to be one of the initial Premier members of the LF Deep Learning Foundation. Deep Learning is key to enhance consumer experience and to help our customers implement digital transformation. Huawei continues to increase our open source investments and collaborate with the open source community to advance the application and the development of Deep Learning.”

— Xiao Ran, vice president of strategy and industry development, Huawei

“Baidu is very excited to join LFDL as a founding member to help the global collaboration in AI area. And we will contribute the EDL project to LF Deep Learning, which provides elastic job scheduling and fault tolerable features for Deep Learning.”

— Zhongyi Tan, open source architect, Baidu

“Nokia considers AI as a game-changer for our customers. We are already seeing breakthrough results from AI/ML in our networks and service offerings. Nokia is looking forward to supporting Acumos and influencing the platform’s evolving architecture.”

— Henri Tervonen, CTO, Mobile Networks, Nokia

“At Tech Mahindra, our people have been deeply invested in contribution to open source and building AI software. We are elated to be the founding member of LF Deep Learning and have taken a lead in contributing initial code to the Acumos AI Project. With the launch of Acumos, the vision to make AI accessible to a wider community of users across diverse industries and hence making it easy to implement AI applications are now a reality. The potent force of AI, data and cloud that the Acumos platform inherently acts upon will help realize the transformation journey that Tech Mahindra and its clients have embarked on.”

— Manish Vyas, president, communications business & chief executive, network services, Tech Mahindra

“We are excited to join as a founding member of LF Deep Learning and we look forward to helping drive collaboration and development in the broader AI, machine learning, and deep learning space. To further enable these efforts, we intend to contribute the Angel project to LF Deep Learning. The Angel project, jointly developed by Tencent and Peking University, is a high-performance distributed machine-learning platform. Tuned for big data/models, the Angel project is capable of supporting over a billion parameters.”

— Yongsheng Liu, general manager of AI Department, Tencent

“The LF Deep Learning Foundation comes at an integral moment when many of Univa’s customers, who manage workloads on many of the largest machine learning clusters in the world, are developing their strategies for deep learning. We’re excited to see these companies benefit from the technology, collaboration and support from this open source community, whether they are validating new pilot projects or applying deep learning in production across their organization.”

— Gary Tyreman, president & CEO, Univa Corporation

“As the world’s leading communications solutions provider, on the basis of the uSmartInsight platform, we provide a full range of big data, AI, potent algorithm, and end-to-end solutions to help telecom operators construct an intelligent network in the future.”

— Wei Meng, open source planning director, ZTE

The Linux Foundation expects LF Deep Learning to bring in a wide variety of projects, including tool kits, inferencing engines, and infrastructure deployment projects that leverage modern cloud native technologies to make deep learning accessible, scalable, and affordable to all. To get involved with LF Deep Learning, please visit https://www.linuxfoundation.org/deeplearning

About The Linux Foundation

The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

# # #

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.