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.

NCCs from Italy, Denmark and Montenegro Share Experiences on Strengthening Industry Engagement in HPC, HPDA and AI

NCCs Montenegro, Italy, and Denmark held an online mentoring and twinning session (30.01.2026) focused on sharing valuable experiences and good practices in building initial industry contacts in the fields of HPC, HPDA, and AI. The discussion centred on practical approaches and lessons learned in engaging companies—particularly SMEs—and on transforming NCC technical expertise and resources into attractive, demand-driven service offerings.

EuroCC mentoring and twinning session

The NCCs shared concrete examples of mapping local ecosystems and working with key national stakeholders, strategic partners and industry intermediaries—including chambers of commerce, industry clusters, digital agencies, science and technology parks, start-up incubators/ accelerators, etc., and European Digital Innovation Hubs (EDIHs)—to reach targeted companies and industry leaders. Collaboration models, including joint workshops, training activities, and project initiatives, were highlighted as effective means of promoting access to HPC and AI resources, expertise, and funding support.

The session also highlighted the importance of continuous visibility and coordinated outreach through channels such as LinkedIn, newsletters, and active participation in targeted conferences and networking events, as key enablers for promoting NCC services and strengthening industry uptake.

30th International Scientific and Professional Conference IEEE IT2026

We are pleased to invite you to the 30th International Scientific and Professional Conference INFORMATION TECHNOLOGIES 2026.

📌 Important notice for authors:
Upon authors’ request, the paper submission deadline has been extended to January 25, 2026.

🔹 Accepted papers may be presented in oral or poster sessions
🔹 Online presentations via ZOOM are also available

We invite the academic community, industry professionals, and the wider public to follow the Conference activities online, via videoconferencing links available on the official Conference website.

Welcome!

Click to open IT 2026 conference website

FFplus Open Call: Innovation Studies – Generative AI on European Supercomputers

The FFplus Innovation Studies Open Call is now open, offering European SMEs and start-ups a focused opportunity to develop and validate generative AI (GenAI) solutions using large-scale European supercomputing resources. The call opens on 3 February 2026 and targets early-stage, high-impact projects with a clear proof-of-concept orientation.

This image has an empty alt attribute; its file name is eurohpc.png
Click on image to open the link for application (image source: FFplus)

Coordinated by HLRS (High-Performance Computing Center Stuttgart), FFplus supports innovation at the intersection of AI and HPC, enabling companies to overcome computational barriers and scale beyond conventional cloud or on-premise infrastructures.

Key facts

  • Funding: up to €300,000 per project
  • Deadline: 25 February 2026 (or earlier if 250 proposals are submitted)
  • Eligible applicants: European SMEs and start-ups

Scope and impact

The call supports feasibility studies and PoCs for GenAI use cases such as:

  • Training or fine-tuning large language and multimodal models
  • Generative design, simulation, and optimization workflows
  • AI-driven data synthesis and advanced analytics across multiple sectors

Selected projects gain access to EuroHPC-class supercomputers, expert technical support, and increased visibility within the European innovation ecosystem. National Competence Centres within the EuroCC play a key role in supporting applicants.

Support from NCC Montenegro

The NCC Montenegro is available to support SMEs and start-ups from Montenegro during the proposal preparation phase, including:

  • Clarification of call scope and eligibility
  • Guidance on aligning use cases with HPC and GenAI requirements
  • Initial technical advice on suitable architectures and workloads

Apply here: https://www.ffplus-project.eu/en/open-call/innovation-studies/

Given the capped number of proposals, early engagement and submission are strongly encouraged.

Training event on Practical MPI Programming successfully completed

On 23 December 2025, at premises of the Faculty of Electrical Engineering, University of Montenegro, NCC Montenegro (EuroCC) successfully delivered a hands-on training session on MPI programming in Python using mpi4py. The event introduced participants to the fundamentals of the message passing paradigm for distributed-memory systems and explained how the MPI standard enables scalable parallel applications across multiple processes.

Hands-on training session on MPI programming in Python using mpi4py

The training combined concise theory with practical demonstrations. Core MPI concepts such as SPMD execution, communicators, process rank and size, and the basics of point-to-point communication using Send/Recv (including tags and common communication patterns) were covered. Participants also learned how to set up and run MPI programs with mpiexec, verify their environment, and interpret parallel output behaviour.

Hands-on training session on MPI programming in Python using mpi4py

A key part of the session was a step-by-step example of parallelizing a numerical computation using the trapezoidal rule for integration. Through this case study, workload partitioning across processes and collection of partial results were demonstrated, along with a discussion of typical performance considerations such as synchronization overhead and potential bottlenecks at the root process.

Train the Trainers Workshop @ NCC Montenegro: Agentic AI – From Core Concepts to Real-World Applications

Agentic AI is emerging as a powerful enabler of next-generation digital transformation, business automation, and real-time decision-making. Unlike traditional AI solutions, Agentic AI systems operate as autonomous, goal-driven agents capable of planning, reasoning, and adapting over time, making decisions without continuous human intervention, and collaborating with tools, systems, and dynamic environments. Recognising its growing relevance, NCC Montenegro organised a Train the Trainers workshop for NCC members, focused on the application of Agentic AI within experience-driven industries.

Train the Trainers Workshop @ NCC Montenegro: Agentic AI

The workshop was delivered by the NCC representative, Dr Armin Alibasic, who combined academic and industry expertise with his international and interdisciplinary experience across the automotive, airline, and theme park industries. The session highlighted the potential of real-time analytics enabled by Agentic AI, demonstrating how autonomous intelligence can support instant, data-driven decision-making. These concepts were illustrated through real-life industry applications and a hands-on demonstration on Databricks, a leading Data and AI platform.

Presentation of Dr Armin Alibasic

The Train the Trainers approach addressed two complementary dimensions. The first focused on capacity building, providing participants with a structured and in-depth understanding of Agentic AI concepts, system architecture, required skills and tools, as well as the key challenges associated with designing and deploying agent-based AI solutions. These foundations were reinforced through business-oriented use cases, ensuring a clear link between theoretical principles and real-world industry practice. The second dimension emphasized knowledge transfer, equipping participants with the competencies needed to design, adapt, and deliver high-quality training activities tailored to SMEs, complex organizational systems, and strategic decision-makers.

Why Agentic AI?

By empowering trainers with both deep technical insight and practical training capabilities, NCC Montenegro ensures that Agentic AI knowledge can be effectively disseminated, scaled, and transformed into business value for industry, SMEs, and the broader digital innovation ecosystem.

NCC Montenegro team