Led the SAGE and Sage2 projects on percipient storage for exascale computing, and contributed to IO-SEA on exascale I/O software.
SEAGATE SYSTEMS UK LIMITED
Industrial storage R&D division of Seagate, specializing in exascale HPC storage architectures, data middleware, and hierarchical storage management for European supercomputing.
Their core work
Seagate Systems is the UK R&D arm of Seagate Technology, one of the world's largest data storage manufacturers. Within H2020, they focus on building next-generation storage architectures for high-performance computing (HPC) and exascale systems — making it possible to store, move, and process massive scientific datasets efficiently. Their work bridges the gap between commercial storage hardware and the extreme demands of scientific simulation, weather modelling, and data-intensive workflows. They bring industrial storage engineering expertise into research consortia that would otherwise rely on academic prototypes.
What they specialise in
Contributed to MAESTRO (memory and data-awareness in workflows) and ESiWACE/ESiWACE2 on data middleware for weather simulation.
IO-SEA and Sage2 both address object stores, data placement, and hierarchical storage management for large-scale systems.
BigStorage project explored storage-based convergence between HPC and cloud to handle big data.
Participated in NEPHELE (optical SDN architectures) and COSMICC (CMOS photonic transceivers), relevant to high-bandwidth data transfer.
How they've shifted over time
In the early period (2015–2018), Seagate cast a wider net — participating in optical networking (NEPHELE, COSMICC), cloud-HPC convergence (BigStorage), and launching their flagship SAGE storage project. From 2018 onward, they sharply narrowed their focus to exascale data infrastructure: Sage2, MAESTRO, ESiWACE2, and IO-SEA all centre on storing and processing massive datasets for HPC workloads. The photonics and networking work disappeared entirely, replaced by deep commitment to storage middleware, object stores, and workflow-aware data management.
Seagate Systems is converging on intelligent, workflow-aware storage for exascale computing — expect future work in AI-driven data placement and energy-efficient storage for European supercomputing initiatives.
How they like to work
Seagate primarily joins as a partner (7 of 9 projects) but has demonstrated leadership capability by coordinating both SAGE projects — their largest funded efforts. With 63 unique partners across 12 countries, they operate as a well-connected industrial anchor in HPC storage consortia. Their pattern suggests they lead when the project is squarely in their storage domain, and contribute specialist expertise when the focus is broader (weather simulation, optical networks, big data).
Seagate Systems has collaborated with 63 distinct partners across 12 European countries, forming a dense network within the HPC and exascale research community. Their repeat participation in ESiWACE and SAGE lineages suggests strong ties to core European weather/climate and supercomputing groups.
What sets them apart
Seagate Systems brings something rare to EU research consortia: actual industrial-scale storage engineering from one of the world's top storage manufacturers. While most HPC storage research comes from universities or national labs, Seagate contributes production-grade hardware knowledge and a path to commercial deployment. For consortium builders, they offer credibility with reviewers (major industry partner), real hardware testbeds, and the potential to turn research prototypes into products that ship.
Highlights from their portfolio
- SAGETheir largest project (EUR 2.6M) and coordinator role — defined their identity in exascale storage research and led to the Sage2 follow-up.
- IO-SEATheir most recent project (2021–2024), focused on exascale I/O software with keywords spanning object stores, HSM, and energy efficiency — signals their current technical direction.
- ESiWACE2Connects their storage expertise to a high-profile application domain (European weather and climate simulation), demonstrating cross-domain impact.