Why AI model choice is now an infrastructure decision
VentureBeat · Microsoft ·
As AI portfolios expand, CIOs must match workloads to the right models, deployment approaches and infrastructure to balance performance, capacity and cost.
Presented by Microsoft
As AI portfolios expand, CIOs increasingly need to match each AI workload to the right combination of model, capacity, and infrastructure, while balancing utilization, performance, predictability, and cost.
Enterprise AI is rapidly becoming a portfolio problem. As AI portfolios expand, CIOs increasingly need to match each workload to the right combination of model, capacity, and infrastructure. A one-model, one-deployment approach becomes increasingly unrealistic when workloads differ in performance, utilization, predictability, and cost requirements.
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