This talk will outline key architectural best practices for building and deploying Google Cloud environments that leverage the latest, most powerful GPUs for AI model training and inference. We'll also examine potential obstacles tech leaders might encounter during this process and offer strategies to overcome them. The insights provided will equip you to rapidly establish scalable, reliable, and high-performance cloud infrastructure tailored to your AI training and inference requirements.