Google Cloud's Filestore, a scalable NFS file service, has received a significant enhancement by integrating a cloud-native backend storage layer built on Colossus. This upgrade allows Filestore to leverage the same foundational distributed storage system that powers Google's largest global services. The integration enables greater flexibility and scalability for demanding modern workloads, including AI and agentic workflows. A key benefit is the decoupling of storage capacity and performance, allowing independent provisioning of IOPS to match workload demands precisely. This decoupled scaling is particularly advantageous for containerized environments, providing persistent, high-performance storage for GKE workloads via the Filestore CSI driver. Filestore multishares for GKE further optimize resource utilization by segmenting instances into smaller shares for project-specific needs. This new architecture unlocks critical use cases like high-concurrency workspaces for AI agent swarms, where shared data access is essential. Filestore's NFS protocol, backed by Colossus, supports millions of agents with consistent file system access and strict data consistency through NFS file locking. Operationally, the enhancement offers improved agility with real-time IOPS scaling and faster failure recovery. Security is also bolstered through deep integration with Google Cloud IAM and IP Access Control Lists. This update positions Filestore to meet the evolving needs of AI-era data workflows, offering flexibility and cost-efficiency.