Google Kubernetes Engine (GKE) has introduced new generative AI inference capabilities that significantly enhance performance and reduce costs. These features include GKE Inference Quickstart, TPU serving stack, and Inference Gateway, which collectively streamline the deployment of AI models, optimize load balancing, and improve scalability, resulting in lower latency and higher throughput for users.

Google has introduced Ironwood, its seventh-generation Tensor Processing Unit (TPU), specifically designed for inference, showcasing significant advancements in computational power, energy efficiency, and memory capacity. Ironwood enables the next phase of generative AI, supporting complex models while dramatically improving performance and reducing latency, thereby addressing the growing demands in AI workloads. It offers configurations that scale up to 9,216 chips, delivering unparalleled processing capabilities for AI applications.