Moving your AI training jobs to LUMI
Join this two-day workshop, “Getting Started with AI on LUMI,” designed to familiarise you with the capabilities of the LUMI supercomputer for AI applications. This workshop is ideal for those looking to transition from smaller-scale computing environments like laptops, workstations, or cloud VMs to the robust, GPU-intensive LUMI platform.
Practical information:
Georganiseerd door:
Participants are invited to bring their own AI training scripts to the workshop, where they will receive personalized support to adapt and run them on LUMI’s advanced GPU system. Whether you aim to leverage a single GPU or scale up to multiple GPUs, our workshop will provide valuable insights and practical skills to enhance your AI projects with LUMI’s powerful computing infrastructure.
Learning outcomes
Attending the workshop, you will acquire an understanding of the LUMI-G architecture tailored for AI training, including an introduction to SLURM, ROCm, the Lustre/LUMI-O file systems, and the Slingshot 11 interconnect. Specifically, you will:
- Learn to utilize existing AI containers on LUMI and build your own using the container build tool, cotainr
- Learn to distribute AI workloads across multiple GPUs within a single LUMI-G node
- Explore strategies for scaling AI workloads across numerous GPUs distributed over several LUMI-G nodes
- Gain insight into advanced topics for optimizing AI training processes on the LUMI supercomputer
Agenda
The workshop consists of a mix of short lectures and hands-on exercises, that cover the following key topics:
- LUMI-G architecture overview and its applications in AI
- Introduction to the LUMI web-interface for development and monitoring
- Using the AI framework PyTorch on LUMI
- Building and deploying custom AI containers on LUMI
- Strategies for scaling AI workloads across multiple GPUs
- Get support to adapt and run your own AI training script on LUMI
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