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NCC Finland
EuroCC Finland is part of the EuroCC2 project, which establishes national HPC competence centers in different European countries. EuroCC Finland's mission is to support and improve the capabilities of Finnish business users to utilize the opportunities of high- performance computing, data analytics and artificial intelligence.Through EuroCC Finland, companies have access to the computing capacity of the EuroHPC LUMI Supercomputer. EuroCC Finland is operated by the CSC – IT Center for Science.
Industrial organisations involved:
Top Data Science Ltd specializes in artificial intelligence, machine learning, and software engineering services. The majority of its customers are based in the Nordic countries, Germany, and Japan. The biggest solution segment is based on computer vision technologies, which utilize video and other image data to collect information relevant to the customer use case in focus.
Technical/scientific Challenge:
Top Data Science was chosen as a partner in the AISA (AI-based Situational Awareness) project, funded by Business Finland and led by Nokia. This project aims to enhance AI application and high-speed wireless communications among Finnish industrial companies and research institutes. The company is focusing on urban security and industrial applications by detecting poses, activities, and counting people from video feeds using deep learning.
Solution:
Top Data Science leveraged LUMI for human pose estimation analysis[gb1] [DS2] , processing hundreds of video clips in parallel during neural net training to create a dataset of human skeleton trajectories for fast inference.
“Overall, LUMI provided a powerful and effective platform for our projects, meeting requirements, and facilitating workflow,” explains Lead Data Scientist, Kseniia Khakalo. She adds : “We were able to effectively outsource computationally heavy tasks and generate the desired human skeleton trajectory dataset, which is now actively utilized in our work.”
LUMI’s capability to run parallel jobs on GPUs and its flexible containerization approach offered the needed scalability. Additionally, its comprehensive documentation with plenty of examples and easy navigation allowed them to find the necessary information without extra support.
Business impact:
Supercomputing enabled the company to train neural nets efficiently for quick inference.“ This [using LUMI] helps us address customer problems and deliver tailored solutions that go beyond what the normal computational setup offers. It’s crucial to understand LUMI’s strengths and limitations, such as its suitability for inference tasks. Comprehensive documentation and containerization features make it an asset for various projects,” says Kai Lehtinen. LUMI’s advanced capabilities can enhance workflow and drive innovation, provided its resources are leveraged effectively.
Benefits:
Scalability
Good functionality and ease of use of AI tools and container environment
Outsourcing of computationally heavy tasks
Reduced model training time I
Success story # Highlights:
Keywords Machine learning, automation, human pose estimation, LUMI, HPC
Technology HPC, AI
Industry Sector AI Techology, services & software providers