GPU-focused workloads such as cloud gaming and AI inference jobs demand access to data at scale, which is often challenged by prohibitive egress costs and latency. This talk introduces a system and strategy designed to accelerate and optimize S3 object storage performance across a global fleet of edge Kubernetes clusters. The solution is built on Kubernetes, leveraging AIStore with OVN, Metallb, and many other common OSS components. Attendees will gain insights into the architecture, implementation challenges, and measurable impacts of the system.