* deliver end-to-end open-source enterprise OS with flexibility to setup as per user needs
+* bring in popular FOSS AI frameworks/libraries as technical partners of RockyAI
+* become top OS among AI user community and be part of AI applications being developed and deloyed
+* rank top in AI ecosystem deployed across BM, Cloud, Containers
+
* Publish docs explaining installation and usage of popular AI frameworks, job schedulers, cluster managers, and AIOps
+* Work with maintainers of popular frameworks to include in Rocky
+* Publish cloud and container images in collaboration with partners for easy and scalable deployment
+* Release RockyAI toolset for monitoring and maintenance of AI stack
+* Hosting virtual conference demonstrating RockyAI
+
* Arthur - some packages we can control, some we cannot, or cannot ship them due to being nonfree, etc.
+ * EPEL is a good option, want it to be simple
+* Collaborating with NeuroFedora is a very good idea
+ * https://docs.fedoraproject.org/en-US/neurofedora/ -
+* Want to be able to build and release packages
+* Longer term, want to be able to add cloud images, etc
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/search/search_index.json b/search/search_index.json
index 02754a9..4882cbd 100644
--- a/search/search_index.json
+++ b/search/search_index.json
@@ -1 +1 @@
-{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Rocky Linux SIG/AI Wiki","text":"
The RockyAI ecosystem is built on the world's fastest-growing open-source enterprise operating system. RockyAI powers the end-to-end AI lifecycle, from development on your laptop up to Bare Metal, Dedicated Cloud, Virual Cloud, or Containerized infrastructure.
Rocky Linux, like any other Linux distribution, can be used as a platform for developing and running AI applications. The operating system provides a stable and reliable environment for running various AI frameworks, such as TensorFlow, PyTorch, and Keras, which can be used for developing machine learning and deep learning models.
Rocky Linux also supports a wide range of programming languages, including Python, which is one of the most popular languages for AI development. Many AI libraries and frameworks are available for Python, making it an excellent choice for developing AI applications.
Additionally, Rocky Linux supports containerization technologies such as Docker and Kubernetes, which can be used for deploying and managing AI applications and services at scale. This makes it easier to build, package, and distribute AI applications and ensures that they can be run consistently across different environments.
Overall, Rocky Linux provides a solid foundation for building and running AI applications and can be a good choice for developers and organizations looking for a stable and reliable platform for their AI workloads.
Rocky SIG AI has open contribution opportunities at each level. it requires you to do the following things:
Create an account at Rocky Linux Mattermost
Create an account ar Rocky Linux Forums
Find SIG/AI in channels list and introduce yourself.
Check the SIG/AI Task boards for th tasks you can keep hands on. Don't worry if its too simple. we enourage you to try from any step you are confortable.
Rachout to SIG/AI channel and post your findings, difficulties, help needed etc...
For any urgent or cold case requests ping channel admins.
git.resf.org/sig_ai/wiki contains the source file of very webpage that you are seeing.
git.resf.org/sig_ai/meta repo addresses/handles the issues related to SIG/AI access/administration/accounts.
"},{"location":"contribute/forums/","title":"TBD","text":""},{"location":"contribute/git/","title":"TBD","text":""},{"location":"contribute/mattermost/","title":"TBD","text":""},{"location":"docs/wiki/","title":"Check Again Later for RockyAI Documentation.","text":""},{"location":"events/events/","title":"Events","text":""},{"location":"events/events/#first-sigai-meet","title":"First SIG/AI Meet","text":"
First SIG/AI Meets happens on April 6th between 4:30 to 5:30PM UTC. Meeting Link
"}]}
\ No newline at end of file
+{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Rocky Linux SIG/AI Wiki","text":"
The RockyAI ecosystem is built on the world's fastest-growing open-source enterprise operating system. RockyAI powers the end-to-end AI lifecycle, from development on your laptop up to Bare Metal, Dedicated Cloud, Virual Cloud, or Containerized infrastructure.
Rocky Linux, like any other Linux distribution, can be used as a platform for developing and running AI applications. The operating system provides a stable and reliable environment for running various AI frameworks, such as TensorFlow, PyTorch, and Keras, which can be used for developing machine learning and deep learning models.
Rocky Linux also supports a wide range of programming languages, including Python, which is one of the most popular languages for AI development. Many AI libraries and frameworks are available for Python, making it an excellent choice for developing AI applications.
Additionally, Rocky Linux supports containerization technologies such as Docker and Kubernetes, which can be used for deploying and managing AI applications and services at scale. This makes it easier to build, package, and distribute AI applications and ensures that they can be run consistently across different environments.
Overall, Rocky Linux provides a solid foundation for building and running AI applications and can be a good choice for developers and organizations looking for a stable and reliable platform for their AI workloads.
Rocky SIG AI has open contribution opportunities at each level. it requires you to do the following things:
Create an account at Rocky Linux Mattermost
Create an account ar Rocky Linux Forums
Find SIG/AI in channels list and introduce yourself.
Check the SIG/AI Task boards for th tasks you can keep hands on. Don't worry if its too simple. we enourage you to try from any step you are confortable.
Rachout to SIG/AI channel and post your findings, difficulties, help needed etc...
For any urgent or cold case requests ping channel admins.
git.resf.org/sig_ai/wiki contains the source file of very webpage that you are seeing.
git.resf.org/sig_ai/meta repo addresses/handles the issues related to SIG/AI access/administration/accounts.
"},{"location":"contribute/forums/","title":"TBD","text":""},{"location":"contribute/git/","title":"TBD","text":""},{"location":"contribute/mattermost/","title":"TBD","text":""},{"location":"docs/wiki/","title":"Check Again Later for RockyAI Documentation.","text":""},{"location":"events/events/","title":"Events","text":""},{"location":"events/events/#first-sigai-meet","title":"First SIG/AI Meet","text":"
First SIG/AI Meets happens on April 6th between 4:30 to 5:30PM UTC. Meeting Link
* deliver end-to-end open-source enterprise OS with flexibility to setup as per user needs\n* bring in popular FOSS AI frameworks/libraries as technical partners of RockyAI\n* become top OS among AI user community and be part of AI applications being developed and deloyed\n* rank top in AI ecosystem deployed across BM, Cloud, Containers\n
* Publish docs explaining installation and usage of popular AI frameworks, job schedulers, cluster managers, and AIOps\n* Work with maintainers of popular frameworks to include in Rocky\n* Publish cloud and container images in collaboration with partners for easy and scalable deployment\n* Release RockyAI toolset for monitoring and maintenance of AI stack\n* Hosting virtual conference demonstrating RockyAI\n
"},{"location":"events/meeting-notes/2023-04-06/#roadmap","title":"Roadmap","text":"Time Tasks April - June Publish RockyAI Docs and Find partners to work and collaborate with. Begin developing RockyAI Toolset July - Aug Release RockyAI Toolset Sep - Oct Publish prepackaged partner images Nov - Dec Continue packaging and automating publishing of images January 2024 Virtual user conference on RockyAI & other SIG's Feb - March 2024 Expanding the RockyAI partnership with more applications"},{"location":"events/meeting-notes/2023-04-06/#new-business-discussion","title":"New business / Discussion","text":"
* Arthur - some packages we can control, some we cannot, or cannot ship them due to being nonfree, etc.\n * EPEL is a good option, want it to be simple\n* Collaborating with NeuroFedora is a very good idea\n * https://docs.fedoraproject.org/en-US/neurofedora/ -\n* Want to be able to build and release packages\n* Longer term, want to be able to add cloud images, etc\n
"},{"location":"events/meeting-notes/2023-04-06/#packages-to-target-initially","title":"Packages to target initially","text":"