Acumos, an LF AI Foundation Graduated Project, has announced their software release, codenamed Elpis. We’re thrilled to see another great release from the community!
Acumos 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.
Major highlights of the Elpis release include:
- Automation of Model Deployment with your own CI tool:
- Elpis Release is a first step towards a fully automated process from model on-boarding to model deployment. It is now possible to connect Acumos with your own CI tool (Jenkins) in order to trigger Jenkins jobs that could be used in the future to deploy your Acumos model
- On-boarding:
- Add “deploy” parameter in on-boarding API
- Allow the use of a SWAGGER interface for R models
- Micro-service:
- Speed up the Micro-service creation of R models thanks to enhancement of on-boarding-base-r image
- Use of Json and swagger URI with R models
- Fix MS generation failure after on-boarding
- Create deployment backend
- Portal-Marketplace:
- Take into account “deploy” parameter in synchronous and asynchronous microservice generation
- Create a new Admin page to fulfill Jenkins’s server parameters
- Onboarding Python Client:
- Add deploy parameter
- Fix type issue with python 3.9
- Onboarding R Client:
- Add deploy parameter
- Allow the use of Json and Swagger UI
- Onboarding Java Client:
- Add deploy parameter
- Update old dependencies
- Onboarding C++ Client:
- Add deploy parameter
- Onboarding ONNX Client:
- Add deploy parameter
- Model bundle dump without use of configuration file
- License profile addition when onboarding by CLI
The Acumos Project invites you to adopt or upgrade to the Elpis release and welcomes feedback. For details on the additional features and improvements, please refer to the release notes here and confluence page here. Want to get involved with Acumos? Be sure to join the Acumos-Announce and Acumos-Technical-Discuss mailing lists to join the community and stay connected on the latest updates.
Congratulations to the Acumos team! We look forward to continued growth and success as part of the LF AI & Data Foundation. To learn about how to host an open source project with the Foundation, visit the LF AI & Data website.
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