The new release of Acumos code, named Boreas, says the organization, 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,” says 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 is designed to make 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, freeing data scientists and model trainers to focus on their core competencies and accelerating innovation.
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.
The first software release of the Acumos AI project, called Athena, was unveiled last November. LF Deep Learning members include Amdocs, AT&T, Orange, Tech Mahindra, and others.
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