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.
