NEC’s Strategy for Data-Driven Science: From HPC to Research Information Infrastructure (RII)

NEC’s Strategy for Data-Driven Science: From HPC to Research Information Infrastructure (RII)

Thursday, June 25, 2026 1:40 PM to 2:00 PM · 20 min. (Europe/Berlin)
Hall H, Booth L01 - Ground Floor
HPC Solutions Forum
Development of HPC SkillsHigh-Performance Data Analytics

Information

NEC has long contributed to scientific and industrial innovation by providing high-performance computing (HPC) platforms, system integration (SI), and services across academic, enterprise, and public sectors. Through its value creation model, NEC aims to address complex social and business challenges by leveraging advanced technologies and domain expertise.

In recent years, the rapid expansion of open science, FAIR principles, and AI-driven research has significantly increased the importance of managing and utilizing scientific data. Beyond computational performance, academic and research institutions are now required to ensure data transparency, reproducibility, and effective sharing to strengthen research capabilities and accelerate innovation.

To address these evolving needs, NEC has launched the concept of Research Information Infrastructure (RII) and is developing a comprehensive solution portfolio aligned with the entire data lifecycle. Specifically, this covers processes from data generation, processing, and aggregation to management, sharing, and utilization.

RII integrates HPC with data-centric technologies, including high-speed data transfer, research data management (RDM), and data provenance management, enabling efficient handling of large-scale datasets across distributed environments. This approach enables seamless integration of computing and data infrastructure, supporting data-driven science and fostering collaboration across organizations.

This presentation introduces NEC’s approach to integrating HPC and data infrastructure, along with practical solutions and use cases.
HPC Solutions Forum Questions
Discuss your solution in terms of benefits for specific use cases, rather than general horizontal terms like HPC, AI, performance, or scalability.
Format
on-site

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