Distributed LLM Fine-Tuning & Inference on HPC systems, Fall 2026

NRIS Training and KI-Fabrikken are organizing a third round of Distributed LLM Fine-Tuning & Inference on HPC systems. This is a two-day, in-person, hands-on course. Gain practical, hands-on experience over two days 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.

Note

The dates and location for this event is tentative and may be changed. Registration will open when the dates and location is finalized.

When: October 9th-10th, 2026 (tentative)

Where: Trondheim/NTNU (tentative)

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:

• Distributed LLM Fine-Tuning & Inference on HPC Systems: March 25-26 2026

• Distributed LLM Fine-Tuning & Inference on HPC Systems - event in Oslo - June 09-10 2026

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: TBA

Practical Information

The course is free of charge, but will have a maximum capacity of 25 people.

Contact us

You can always contact our support team.