HPC Montenegro

The Uhura Solutions project “Generative AI Intelligent Process Automation Platform” has received a positive evaluation and has been granted an extension, including 4,500 node hours on the Leonardo BOOSTER HPC system for a 12-month period. 

The additional HPC resources will support Uhura Solutions’ ongoing research and development in advanced Generative AI and Large Language Models (LLMs) tailored for the financial sector. Leveraging Leonardo’s state-of-the-art computing capabilities, the project will scale experiments from smaller open-source models to larger LLMs, enabling deeper research into optimization techniques such as parameter-efficient fine-tuning (PEFT), quantization, pruning, and model alignment.

The Generative AI Intelligent Process Automation Platform integrates fine-tuned LLMs, low-code development, and process automation workflows to significantly improve operational efficiency, reduce costs, and enhance customer experience in financial services. A key differentiator of the platform is its focus on industry-specific language and context, supported by carefully curated private datasets with strong attention to data quality, privacy, and compliance.

This extension and access to Leonardo BOOSTER represent a major milestone for the project. The additional computational power allows company to push the boundaries of financial-domain AI and accelerate the delivery of scalable, production-ready solutions for the European market

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.

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]