Rearchitecting your infrastructure for generative AI

As generative AI propels organizations into the  future, IT leaders must construct infrastructure  able to withstand the performance requirements  these revolutionary technologies bring. With the exponential growth in data generation, model size,  and computation demands, existing infrastructure cannot handle the requirements of training and serving Large Language Models (LLMs) like PaLM2. To avoid AI efforts stalling out due to inadequate foundations, you’ll need to architect for scalability  and performance from the ground up.

This guide provides technology leaders a realworld roadmap for architecting robust generative AI systems, helping inform strategic decisions that transcend your current organization. We will dive into the infrastructure considerations that can determine AI success or failure—examining cost, scalability, security, and performance dimensions.