65 lines
2.0 KiB
Markdown
65 lines
2.0 KiB
Markdown
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# SIG/AI - 2023-04-06
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## Rollcall
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* Balaji B
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* Mark Watson
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* Ivan Novick
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* Rajkumar Rajendran
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* Neil Hanlon
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* Sherif Nagy
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* Gregory Kurtzer
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* Arthur Tyde
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* Forrest Burt
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* Alexandre Barbieri
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## Links
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* https://sig-ai.rocky.page/
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## Purpose
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To showcase and deliver user-friendly, robust, scalable AI ecosystems.
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## Goals
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* deliver end-to-end open-source enterprise OS with flexibility to setup as per user needs
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* bring in popular FOSS AI frameworks/libraries as technical partners of RockyAI
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* become top OS among AI user community and be part of AI applications being developed and deloyed
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* rank top in AI ecosystem deployed across BM, Cloud, Containers
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### Objectives
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* Publish docs explaining installation and usage of popular AI frameworks, job schedulers, cluster managers, and AIOps
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* Work with maintainers of popular frameworks to include in Rocky
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* Publish cloud and container images in collaboration with partners for easy and scalable deployment
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* Release RockyAI toolset for monitoring and maintenance of AI stack
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* Hosting virtual conference demonstrating RockyAI
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## Roadmap
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|Time|Tasks|
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|--|--|
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| April - June | Publish RockyAI Docs and Find partners to work and collaborate with. Begin developing RockyAI Toolset |
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| July - Aug | Release RockyAI Toolset |
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| Sep - Oct | Publish prepackaged partner images |
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| Nov - Dec | Continue packaging and automating publishing of images |
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| January 2024 | Virtual user conference on RockyAI & other SIG's |
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| Feb - March 2024 | Expanding the RockyAI partnership with more applications |
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## New business / Discussion
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* Arthur - some packages we can control, some we cannot, or cannot ship them due to being nonfree, etc.
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* EPEL is a good option, want it to be simple
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* Collaborating with NeuroFedora is a very good idea
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* https://docs.fedoraproject.org/en-US/neurofedora/ -
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* Want to be able to build and release packages
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* Longer term, want to be able to add cloud images, etc
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### Packages to target initially
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* mostly python
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* tensorflow
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* pydash
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* apache spark
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