According to Demis Hassabis on Twitter, the unprecedented demand for Google's Gemini 2.5 and Veo 3 AI models is being successfully managed by their advanced infrastructure, chip, and Site Reliability Engineering (SRE) teams. This highlights the scalability and robustness of Google's custom Tensor Processing Units (TPUs), which are critical for supporting large-scale AI workloads. The operational excellence of these teams ensures continuous uptime and performance, enabling businesses to deploy state-of-the-art generative AI solutions at scale. As AI adoption accelerates, the ability to maintain and scale AI infrastructure such as TPUs presents significant business opportunities for cloud service providers and enterprise AI deployments (source: @demishassabis, Twitter, May 31, 2025).