Issue Neuromorphic, optical and quantum processors would each require different data centre designs
Summary
Deloitte presents today's AI infrastructure shift as the start of a longer computational revolution. Over the next five to 20 years, it expects data centres to keep evolving to host increasingly specialised tools for particular applications. Custom silicon is moving beyond general-purpose chips toward processors built for specific AI tasks, including neuromorphic computing for pattern recognition and optical computing for more energy-efficient data processing. Once quantum computing reaches scale, it is likely to change data centre design fundamentally, since quantum systems need cooling, form factors and extreme noise and temperature controls very different from current AI hardware. Future orchestration layers may therefore need to manage quantum processing units, neuromorphic chips and optical arrays alongside virtual machines and containers. The report treats these as design requirements to anticipate rather than immediate deployments.
Classification
Evidence 2
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=40;section=The AI infrastructure reckoning: Optimizing compute strategy in the age of inference economics / The new frontiers of the data center 2025-12 accessed 2026-07-26
- Tech Trends 2026: As technology innovation and adoption accelerate, five trends reveal how successful organizations are moving from experimentation to impact Deloitte Insights (Deloitte Development LLC, US Office of the CTO) page=40;section=The AI infrastructure reckoning: Optimizing compute strategy in the age of inference economics / The new frontiers of the data center 2025-12 accessed 2026-07-26
Constituent trends 1
Directly linked signals 0
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Relation types: constitutes
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