AI and data-intensive workloads are reshaping research computing. This report reveals how research and technology leaders are adapting infrastructure strategies, balancing GPU demand, managing budget constraints, and planning future HPC investments.
Key findings
45%
of HPC workloads are AI or data science
54%
cite budget/resource constraints as top challenge
48%
rely primarily on in-house facilities
What you'll learn
✓ AI and GPU adoption trends
✓ HPC infrastructure planning
✓ Budget and procurement challenges
✓ Cloud versus on-prem strategies
✓ Research computing priorities for 2026
AI demand is rising. Budgets are constrained. GPU infrastructure decisions are becoming harder. Research organisations need a strategy.
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