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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.
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# About SIG/AI
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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.
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Rocky Linux supports all the necessary software to run an AI training/inference stack on it, including, but not limited to:
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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.
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* AI frameworks like TensorFlow/Keras, PyTorch, and JAX
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* Important programming languages for AI like Python, R, Julia, or Go
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* Container solutions like Docker and Apptainer
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* Container orchestrations platforms likle Kubernetes and its various distros
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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.
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Some of these already fall under the purview of the other SIGs, so in SIG/AI, we are primarily focused for the moment on ensuring that the first of these, the AI frameworks, are compatible with Rocky Linux and can be executed on the latest versions of RL8 and RL9.
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RockyAI has active communities at [Rocky Linux Mattermost](https://chat.rockylinux.org){target=_blank} and [Rocky Linux Forums](https://forums.rockylinux.org/c/sig/ai/59){target=_blank}
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# Community
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SIG/AI has active communities at [Rocky Linux Mattermost](https://chat.rockylinux.org/rocky-linux/channels/sig-ai) and [Rocky Linux Forums](https://forums.rockylinux.org/c/sig/ai/59).
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# Contact US
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Reach out to us for any talks related to running/publishing your application on RockyAI Ecosystem. We are happy to talk... [SIG/AI Mattermost](https://chat.rockylinux.org/rocky-linux/channels/sig-ai){target=_blank}
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# Contact Us
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[SIG/AI Mattermost](https://chat.rockylinux.org/rocky-linux/channels/sig-ai)
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#Contribution Guide
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## Getting Started
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Rocky SIG AI has open contribution opportunities at each level. it requires you to do the following things:
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# Contribution Guide
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Rocky SIG/AI is an open community to discuss AI on Rocky Linux. To join, please get in contact with us through the following:
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- Create an account at [Rocky Linux Mattermost](https://chat.rockylinux.org){target=_blank}.
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- Create an account ar [Rocky Linux Forums](https://forums.rockylinux.org/){target=_blank}
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- Create an account at [Rocky Linux Forums](https://forums.rockylinux.org/){target=_blank}
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- Find SIG/AI in channels list and introduce yourself.
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- 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.
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- Rachout to SIG/AI channel and post your findings, difficulties, help needed etc...
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- Check the SIG/AI task boards for the tasks you can keep hands on. Don't worry if it's too simple. we encourage you to try from any step you are comfortable.
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- Reach out to SIG/AI channel and post your findings, difficulties, help needed, etc.
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- For any urgent or cold case requests ping channel admins.
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## SIG/AI Resources
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#Check Again Later for RockyAI Documentation.
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# Documentation
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Currently, there's no documentation for this SIG, but as guides and other artifacts are created, we'll centralize them here.
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# Testing Matrix
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This matrix represents the status of testing AI frameworks on RL8 and RL9.
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| Framework | RL8 Checked | RL9 Checked |
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|------------|-------------|-------------|
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| Tensorflow | | |
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| PyTorch | | |
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| JAX | | |
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| Keras | | |
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## First SIG/AI Meet
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First SIG/AI Meets happens on April 6th between 4:30 to 5:30PM UTC. [Meeting Link](https://calendar.google.com/calendar/u/0/embed?src=c_2e1oqh6t0i6sqhja5nu9lq8lgo@group.calendar.google.com){target=_blank}
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# SIG Meetups
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SIG meetings are every other Thursday from 4:30 to 5:30 PM UTC (8:30-9:30 AM Pacific), and the link to them can be found on the [RESF calendar](https://calendar.google.com/calendar/u/0/embed?src=c_2e1oqh6t0i6sqhja5nu9lq8lgo@group.calendar.google.com). We hope you join us to discuss more about making the use of AI on Rocky effective and efficient!
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# TBD
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# SIG/AI - 2023-04-06
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## Rollcall
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* Neil Hanlon
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* Forrest Burt
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## Minutes
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* Neil gets Forrest set up with sponsor access and other relevant information to help manage SIG operations
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* Sherif Nagy will be at next meeting to discuss AI optimized drivers
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# Past Events
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## SIG/AI Inaugural Meeting (2023-04-06)
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The meeting notes can be found in [SIG/AI Inaugural Meeting](meeting-notes/2023-04-06)
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## First SIG/AI Meet
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First SIG/AI Meets happens on April 6th between 4:30 to 5:30PM UTC. [Meeting Link](https://calendar.google.com/calendar/u/0/embed?src=c_2e1oqh6t0i6sqhja5nu9lq8lgo@group.calendar.google.com){target=_blank}
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title: SIG/AI
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---
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# Rocky Linux SIG/AI Wiki
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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, Virtual Cloud, or Containerized infrastructure.
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The SIG/AI ecosystem is built on the world's fastest-growing open-source enterprise operating system. SIG/AI powers the end-to-end AI lifecycle, from development to deployment, on Rocky Linux.
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\#AI \#ML \#DataScience \#BigData \#Cloud \#Edge \#IoT
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## Contribute
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There are various ways to get in touch with SIG/AI. Please visit [Contribute](contribute.md) page.
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## Members
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Please visit Members page for details of [Members](members.md)
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Please visit Members page for details of [Members](members.md)
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- Balaji Balakrishnan
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- Forrest Burt
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- Neil Hanlon
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- Brian Clemens
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- Gregory Kurtzer
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## Community Count
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TBD
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## Most Valuble Contributors
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TBD
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