Demo: Local AIasIS (AI as Infrastructure Service) Scheduler

Link to take part in the event is https://meet.jit.si/barrelai_seminar

You can also watch and comment in our YouTube live stream at https://www.youtube.com/watch?v=StRb0yxNkLM

Are you struggling with insufficient data storage and process power in your ML projects?

Welcome to a workshop and discussion about local, powerful and very affordable infrastructure solution (GPUs, storage etc) for ML projects. Simon Janeck from CGit will present their new platform and demonstrate how to schedule your ML work on their locally placed machines (Sweden). Simon will also open up the tool for you who want to try the scheduler on your own. If you want to prepare or read up on the platform, more resources are available at https://aiqu.ai/.Since they are still developing on this tool, all feedback on how to improve the usability and features of this tool is more than welcome and when the workshop/presentation session is over there will be time for questions and feedback.

// Barrel AI Team