ZettaLane Systems provides cloud storage infrastructure designed for AI workloads, combining parallel file, high-performance block storage, and branchable databases in one platform. Its products run in a customer’s own AWS, Google Cloud, or Azure account, deployed with Terraform, so data remains within the customer’s VPC and under its control.

MayaNAS offers Lustre, NFS, pNFS, and SMB file access over object storage for AI training data and checkpoints. MayaScale provides NVMe-oF block storage and a Kubernetes CSI driver for databases, vector indexes, and other serving workloads. Zettabranch turns MayaScale into branchable Postgres, creating isolated database branches for pull requests and coding agents; idle branches can rest on object storage and resume on demand.

ZettaLane is built to serve data directly from object storage, handle training and checkpoint traffic, and support low-latency database use. The platform includes active-active high availability and automatic tiering for cold data. Customers can find it through the AWS, Google Cloud, and Azure marketplaces, with billing through their existing cloud agreements.