VAST Data’s AI Operating System brings a unified, intelligent data foundation to Kubernetes environments. From the beginning, VAST was built to simplify how data-intensive workloads connect to fast, scalable storage—making it a natural fit for Kubernetes and cloud-native AI pipelines. DevOps teams choose VAST because it delivers enterprise-grade persistence with the agility of container-native infrastructure. AI and MLOps teams choose it because it removes data movement bottlenecks and accelerates every stage of model development, training, and inference.

VAST integrates cleanly with Kubernetes through standard interfaces such as CSI, NFS, and S3, so persistent volumes can be provisioned instantly and accessed from any cluster, node, or pod—on-premises, in the cloud, or across hybrid environments. There’s no need for manual synchronization or custom operators to keep datasets aligned. Every container reads and writes through the same global namespace, ensuring consistency, performance, and simplicity no matter where the workload runs.

For DevOps, the VAST AI OS eliminates the friction between stateful applications and distributed infrastructure. Its disaggregated architecture separates compute from storage but maintains shared semantics across all environments, enabling seamless scaling and high availability. PVCs can be dynamically attached or detached without losing state, snapshots are instantaneous, and recovery is near-immediate. The platform’s NVMe-class performance and intelligent caching mean that data-intensive pipelines—whether analytics, rendering, or CI/CD—run at full speed without dependency on data locality.

For AI operations, VAST delivers a unified data layer that connects Kubernetes clusters to massive datasets wherever they reside. Training and inference workloads can run on Kubernetes clusters with GPUs or TPUs while reading data directly from on-premises or cloud VAST systems, without migration or staging. This allows organizations to fully utilize accelerator capacity and maintain compliance and security without replicating terabytes of data across environments. Native integration with frameworks such as PyTorch, TensorFlow, and JAX—along with compatibility with Kubeflow, Ray, and other orchestration tools—makes VAST a natural backbone for modern AI pipelines.

Security and governance are baked in. Access control, encryption, retention, and audit policies are enforced consistently across all Kubernetes clusters and environments. The result is a system that aligns with enterprise compliance requirements while preserving the flexibility developers expect from Kubernetes.

At scale, VAST turns Kubernetes into a truly data-centric platform. It lets organizations manage data as a shared, intelligent resource rather than an operational burden. Developers move faster. Operators manage less. AI teams get frictionless access to the data that drives innovation.

VAST Data brings simplicity, performance, and intelligence to Kubernetes—from core infrastructure to the most advanced AI workloads. Visit VAST at KubeCon Booth #1741 to see how unified data and compute can power the next generation of cloud-native AI and analytics.