On the top of my head, you would like to cut costs for materials and nuclear research, big data analytics, all kinds of simulations, machine learning tasks that

On the top of my head, you would like to cut costs for materials and nuclear research, big data analytics, all kinds of simulations, machine learning tasks that might not be llm-s, but still give you intelligence advantage, economic security in being able to provide multiple services on lower prices. If necessary, one can throw money, people, and other resources at a problem, but those could be spent elsewhere for higher return on investment. Especially, if you have multiple compute intensive tasks on the queue, you might have to prioritize and to deny yourself certain capabilities as a result. So, I'd say that it is not any one single task that needs cutting edge compute, it is the capability to perform multiple tasks at the same time on acceptable prices that is important.