From compute power to scientific impact: Solving infrastructure challenges in research computing

"The most significant challenge in scientific computing today is the 'Transparency Crisis': the widening gap between the extreme complexity of exascale architectures and our ability to predict, interpret, and optimise their behaviour"

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Investment in AI and HPC is reshaping scientific research, but organisations must overcome rising complexity, skills shortages and infrastructure challenges to realise its full potential

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The 2026 storage survey: strategies for AI and data-intensive research

Scientific Computing World and Seagate are inviting research computing professionals to share how they're preparing storage infrastructure for the demands of AI and data-intensive science. Contribute to the 2026 Storage Survey and help benchmark the future of research data management.