Like many other HPC professionals I’m following the hype cycle[1] around Machine Learning/Deep Learning with interest. I subscribe to the view that we’re probably approaching the ‘peak of inflated expectations’ but not quite yet starting the descent into the ‘trough of disillusionment.’
A practical guide to AI infrastructure testing, covering acceptance criteria, FAT, SAT, UAT, performance validation, and risk management for AI and HPC deployments.
A lot of HPC and AI outages don’t happen solely because of hardware failures. They happen because one person or a small team was holding
Reducing Risk and Maximising Performance High‑Performance Computing (HPC) environments never sit quietly. Workloads grow, AI models get hungrier, research expands, and expectations climb. Meanwhile, infrastructure
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