#FlockRochester was fun!
Next time it comes to #RochesterNY , I need to take some PTO off from work so I can go to more stuff in person!
#FlockRochester was fun!
Next time it comes to #RochesterNY , I need to take some PTO off from work so I can go to more stuff in person!
Gave my talks yesterday at #FlockToFedora #Fedora #Flock2024 #FlockRochester.
1. Silverblue-based FreeIPA clients: https://talks.vda.li/talks/2024/Flock/flock-2024-silverblue-freeipa-clients.pdf, video: https://www.youtube.com/live/v67hQh0_wg0?si=qIIoASClPAwrm61s&t=208
2. Passwordless Fedora progress: https://talks.vda.li/talks/2024/Flock/flock-2024-passwordless-fedora-progress.pdf, video: https://www.youtube.com/watch?v=iWBAD0FrFOA
Tomorrow (today?) I'm presenting at #FlockRochester #Flock2024 on the #almalinux mirror system and how it has grown from 1 server to a network of over 400 worldwide. It will be live streamed for anyone that couldn't make it in person!
https://cfp.fedoraproject.org/flock-2024/talk/RMUDAX/
Live stream link: https://www.youtube.com/watch?v=W-MKuLPXwzs
Join us as we unveil the short but transformative history of the AlmaLinux Mirrorlist system. We will start at the beginning, a single mirror, and cover the journey to over 400 global mirrors serving over 1,000,000 systems per week, how we distribute new content to these mirrors quickly and efficiently, and how we ensure that end-users are served the best mirrors possible to give them the best (fastest) user experience. Learn about what worked well for us, and what didn't work at all during this deep dive into the world of open-source content distribution.
Exciting News! π
Dan Walsh and I secured a last-minute slot at #FlockToFedora #FlockRochester for a must-see talk:
ramalama: Introducing the Boring AI Companion π 08-08, 15:00β15:25 (US/Eastern) π Red Hat (Main 1)
https://github.com/containers/ramalama
https://cfp.fedoraproject.org/flock-2024/talk/HM9Y8U/
Making AI Boring: A Deep Dive into ramalama In the world of AI, "boring" is the new exciting! Our project, ramalama, aims to simplify AI and machine learning for everyone. By prioritizing reliability and ease of use, we're making advanced AI accessible to all, without the usual complexity and hype.
Join us as we:
Explore ramalama's core features
Discuss its straightforward installation and intuitive commands
Discuss it's multi-repository approach ollama, huggingface, quay, etc.
Highlight our commitment to community involvement and feedback
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of ...