As the race to deploy enterprise-grade generative AI moves forward, the three hyperscalers — AWS, Microsoft and Google — are providing glimpses of how large language models and the tools they enable are reshaping infrastructure.
Running generative AI at scale will require massive data storage and compute power on top of the infrastructure, platform, data and software services already supported by cloud.
While excess capacity is built into the cloud model, the added volume will put stress on current infrastructure that the hyperscalers are already moving to relieve.
