Understanding cloud computing options for GenAI applications
The cloud has become the backbone of modern GenAI applications, providing the infrastructure and tools required to handle their demanding computational requirements. While traditional discussions about the cloud often focus on service models (IaaS, PaaS, and SaaS) and deployment types (public, private, and hybrid), this section shifts the focus to the unique role cloud providers play in supporting specialized AI services and why the cloud is indispensable for GenAI.
The cloud: an indispensable foundation of GenAI
GenAI applications are resource intensive, requiring vast amounts of computational power, storage, and scalability. The cloud offers several distinct advantages that make it essential for deploying GenAI solutions:
- Scalability for growing workloads: GenAI models can require thousands of GPUs or TPUs to train and deploy. Cloud platforms allow you to scale resources dynamically to meet these demands...
