What are the key considerations when selecting AI infrastructure for a startup?

Factors to consider when choosing any AI infrastructure for a start-up: cost, scalability, ease of integration, support for all the needed tools, and frameworks to scale. One should do the development of the infrastructure in an agile way, step-by-step, according to the increasing needs of a startup. This may well explain the modern tendency to use solutions on the cloud with flexible pricing.

A further consideration is the insistence on adherence to the timeline; hence, the need to ascertain whether the infrastructure supports the AI tools and languages the team intends to work with. Lastly, it should provide ease in integration with the deployed system: it must provide exceptionally strong technical support so that disturbances shall remain at a minimum and the work productivity be not lost.