The agentic era of AI demands infrastructure that supports reasoning and action, not just responses. Google has been recognized as a leader in AI infrastructure by Gartner, highlighting their strong execution and vision. This success is built upon over a decade of co-designing silicon and software with Google DeepMind for services like Gemini. Google's custom TPUs are central to this, with TPU 8t optimizing training and TPU 8i enhancing inference for agents. They also partner with NVIDIA, offering A5X instances and integrating GPUs into Google Cloud services. Google actively contributes to open-source projects and offers TorchTPU for PyTorch developers.Their AI Hypercomputer offers improved performance per dollar through integrated hardware and software. Key components include high-bandwidth storage systems and the Virgo Network for massive compute connectivity. GKE Inference Gateway optimizes model scaling with low latency and reduced costs. This infrastructure allows fluid scaling, with Cluster Director and GKE enabling training up to 130,000 nodes. GKE Agent Sandbox provides secure, low-latency agent execution and cost optimization. Finally, Cross-Cloud Network and Cloud WAN ensure consistent performance across multi-cloud and hybrid environments.