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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