Distributed LLM Fine-Tuning & Inference on HPC systems, Fall 2026
NRIS Training is organizing a third round of Distributed LLM Fine-Tuning & Inference on HPC systems. This is a two-day, in-person, hands-on course in Bergen. Gain practical, hands-on experience working with single-GPU fine-tuning, multi-GPU scaling on single- and multi-node setups, and optimized LLM inference on a high-performance computing (HPC) system. Attend this course to build applied skills in optimizing large language models in HPC environments.
When: November 18.-19., 2026
Where: Bergen, University Campus
Instructor: Hicham Agueny
HPC System: Olivia
Content
More information about the exact content and structure of the course will be published soon. In the meantime you may look at the previous runs of this course:
Target audience & prerequisites
The course is ideal for researchers, developers, and students with Python experience who want hands-on skills in scalable LLM training and inference on an HPC system.
To attend this course it is recommended to have some familiarity with the following:
Machine learning frameworks (e.g. PyTorch)
HPC setup (SSH, Slurm, Linux commands)
Basic understanding of large language models (LLMs)
Registration: Register here
Practical Information
The course is free of charge, but will have a maximum capacity of 25 people. Lunch will be included, and coffee/tea will be served.
Contact us
If there are questions regarding the course or NRIS Training, please contact us at training@nris.no.