how can runpods cloud-based gpu solutions benefit ai developers and businesses?

runpod offers powerful and cost-effective gpus for ai workloads, allowing users to deploy containers on a secure cloud. how might this impact ai development, especially for startups and businesses with limited resources? does using a cloud-based gpu service provide enough flexibility and scalability compared to owning physical hardware? what are the potential trade-offs, such as cost and data security?

Ian