Multi-GPU AI Train the Trainer Workshop

The Train the Trainer course was organized from 30 January to 5 February as a series of full-day, intensive lectures, delivered alongside the standard AI and multi-GPU computing courses. This workshop complemented the strong technical focus of the regular course with a dedicated educational track. While the regular course concentrated on hands-on skills for building, scaling, and optimizing AI workloads across multiple GPUs, the Train-the-Trainer track was specifically designed to equip future instructors with the knowledge and pedagogical tools needed to teach these topics effectively. With only a few HPC and AI centres across Europe offering such specialized education, this programme helps expand the network of trainers and institutions capable of delivering high-quality AI and multi-GPU courses at both national and European levels.  Researchers from the National Competence Center (NCC) Montenegro participated in this course, further strengthening national capacities in advanced AI and multi-GPU training.

AI Train the Trainer Workshop

During the training event, participants developed a deep understanding of modern multi-GPU and distributed AI technologies, while also learning effective strategies for teaching these complex concepts. Guided by expert instructors, attendees explored state-of-the-art tools, frameworks, and best practices for scaling AI workloads, combined with pedagogical approaches, teaching materials, and hands-on experience tailored to support the delivery of their own courses. The lectures covered a broad spectrum of topics, including GPU architectures and access to HPC infrastructure; fundamentals of deep learning and the transition from CPU- to GPU-based workloads; distributed training with PyTorch (Distributed Data Parallel, model parallelism, PyTorch Lightning); large language models, fine-tuning techniques, and frameworks such as Hugging Face Accelerate and DeepSpeed; as well as computer vision, MLOps, Ray, Retrieval Augmented Generation (RAG), and hyperparameter tuning.

The training event was organised by NCC Poland, NCC Netherlands, NCC Hungary, NCC Belgium, NCC Italy, NCC Finland, NCC Sweden, all National Competence Centres for High-Performance Computing, CASTIEL2 and EuroCC2/EuroCC4SEE.

EuroHPC JU Call for Proposals: Enabling AI-Driven Scientific Discovery Across Europe

The EuroHPC Joint Undertaking (EuroHPC JU) has opened a call for proposals supporting AI-driven scientific research and collaborative EU projects that require large-scale high-performance computing (HPC) resources.

This access mode is designed for researchers, academic institutions, public sector bodies, and industry partners involved in EU-funded or nationally funded R&I projects, where Artificial Intelligence is a core enabler of scientific discovery—including machine learning, foundation models, generative AI, and large language models applied to real scientific challenges.

Available supercomputers to apply for (the resources shown in node hours)

What does the call offer?

Selected projects can receive access to Europe’s leading supercomputers (such as GPU-accelerated EuroHPC systems) for training, testing, and scaling advanced AI models. The call runs on a continuous basis with multiple cut-off dates, allowing flexible submission throughout the year.

Why it matters

Many AI-for-science use cases exceed the capabilities of local infrastructure. This call lowers the barrier to:

  • large-scale AI model training,
  • data-intensive scientific workflows,
  • cross-border collaboration using shared European HPC resources.

Support for Montenegrin applicants

NCC Montenegro actively supports Montenegrin researchers, institutions, and companies in preparing and submitting applications to this call.

NCC Montenegro can help with:

  • assessing project eligibility and fit with the call,
  • estimating HPC and GPU resource needs,
  • structuring proposals and impact sections,
  • connecting applicants with relevant EuroHPC systems and expertise.

If you are based in Montenegro and considering applying, we strongly encourage you to contact us early in the preparation process. Learn more at [link]

HPC & AI in Healthcare: From Research to Clinical Practice in Montenegro and SEE

High-Performance Computing (HPC) and Artificial Intelligence (AI) are increasingly moving beyond research laboratories into real clinical environments. Across Montenegro and the SEE region, promising AI solutions have been developed for medical image analysis, biomarker detection, and predictive diagnostics. The critical challenge today is ensuring their structured transition from research prototypes to validated, deployable tools within healthcare systems.

Please contact us for attendance, limited number of seats

This event addresses precisely that transition. It focuses on how HPC infrastructure, interdisciplinary collaboration, and coordinated ecosystem support can accelerate the integration of AI into everyday clinical practice. Particular attention will be given to available computational capacities, real-life use cases, and pathways toward sustainable deployment.

The event is organized as a joint initiative between NCC Montenegro and NCC Bosnia and Herzegovina, within the broader framework of EuroCC 2 and EuroCC4SEE. It also represents a form of cross-project pollination with the AI-AGE project, demonstrating how research-driven innovation can evolve into applied healthcare solutions through regional cooperation.

Collaboration between NCC Monteengro and NCC Bosnia and Herzegovina

Researchers, clinicians, innovators, and industry partners are invited to join the discussion, exchange expertise, and contribute to shaping the next steps for HPC- and AI-driven healthcare across Southeast Europe. The event is scheduled for Friday, 13 Feb 2026. Please contact us for further details.