Public, open-weight or dedicated? A CIO’s guide to the next phase of university AI
Public AI services are the natural starting point for most universities. But as experimentation turns into production, CIOs face new choices around model capability, cost, control, sovereignty, and infrastructure.
Macquarie Cloud Services explores when universities should continue using public AI, when open-weight models start to make sense, and when shared, dedicated or GPU-based capacity may be appropriate for different workloads.
Read more to explore a practical framework for choosing the right model and infrastructure for the right workload.
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