Every model runs on something, and that something has a price, a power draw and a ceiling. This track is about the physical layer: GPUs and chips, edge devices, data centres, energy, deployment, performance and the cost choices nobody puts on the slide.
This track is aimed at hardware engineers, infrastructure teams, data-centre specialists, chip and edge specialists, technical buyers and researchers — the people who get the bill and the thermal budget.
The speakers are engineers, infrastructure specialists and hardware companies explaining compute and acceleration, edge deployment, energy, cost and the scaling choices behind them. Numbers, benchmarks and trade-offs rather than product tours.
Seven sessions in aiGrunn's central 3-2-2 day format, in the Rabo Studio at Forum Groningen.
The silicon, sensors and infrastructure underneath AI: edge devices, neuromorphic chips, optical computing and supercomputers. See all confirmed talks across the tracks on the schedule.
Opens the secure Paylogic ticket shop.
We are looking for engineers, infrastructure specialists and hardware companies who can explain compute, acceleration, edge deployment, energy, cost and scaling choices with real numbers attached.
Benchmarks, failure modes and the trade-off you eventually settled on. Submit your proposal for aiGrunn 2026 and join a lineup of speakers from across the Netherlands and beyond.
Submit your talk →Deadline for submissions: 13 October 2026
A selection of infrastructure- and performance-minded talks from aiGrunn 2025, 2024 and 2023. Looking for the broader technical ones? They are on the tech track page.
