[Icicle-announce] Announcing ICICLE Release 2026-07

[Vyas, Amit]

ICICLE Release 2026-07
The ICICLE team aims to build the next generation Cyberinfrastructure (CI) to render Artificial Intelligence (AI) more accessible to everyone and to drive its democratization further in solving larger societal problems.
It is with great pleasure that we announce 2026-07 release of ICICLE CI components.
This release includes the following components:
New to ICICLE CI Catalog
Intelligent Cyberinfrastructure
AI-for-CI

  *
Intelligent Semantic Segmentation & Annotation v0.1.0<https://github.com/ICICLE-ai/smart_labeler/blob/main/SEGMENTATION_README.md>
     *
A streamlined, HPC-backed pipeline dedicated exclusively to semantic and instance image segmentation using interactive masking tools and Tapis job execution.
  *
FlexServ Inference v1.4.0<https://zhangwei217245.github.io/FlexServ/>
     *   FlexServ is an OpenAI-compatible inference stack with a Rust gateway in front of Python-serving backends.

CI-for-AI


  *
Intelligent Edge Management Service v0.1.0<https://github.com/ICICLE-ai/intelligent-edge-management-service>
     *   The Intelligent Edge Management Service (IEMS) is ICICLE's fleet control plane for deploying and operating AI workloads on edge devices.

The ICICLE team is committed to delivering the best software and CI components. We welcome your feedback and suggestions for future releases. A list of all ICICLE components can be found on our website under CI & Software<https://icicle.ai/cyberinfrastructure/software>
Please subscribe to icicle-discuss<https://lists.osu.edu/mailman/listinfo/icicle-discuss> and post to discuss all installation/build problems, performance issues, features and other miscellaneous questions related to the different software and CI components of the ICICLE project. You are welcome to post patches and enhancements to the released components.
Subscribe to our mailing list icicle-announce<https://lists.osu.edu/mailman/listinfo/icicle-announce> to stay up to date on the latest ICICLE news and releases.
Please refer to the ICICLE AI Training Catalog<https://icicle-ai.github.io/training-catalog/docs/tags/release-2026-07> for component documentation.
Acknowledgements
This release is brought to you by the National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) (OAC 2112606)

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