Polaris enables enterprises to manage AI workloads across hybrid and multicloud environments with consistent governance, reducing operational complexity and cost while ensuring compliance.
The rapid expansion of AI pipelines has outgrown traditional single‑cluster deployments, forcing organizations to juggle training, inference, and edge data collection across disparate clouds and on‑premises sites. This fragmentation creates hidden latency, inconsistent policy enforcement, and inflated operational overhead. VAST Data’s Polaris arrives as a direct response, offering a single pane of glass that treats a global fleet of AI clusters as one coherent system. By decoupling compute and storage location from application logic, Polaris lets enterprises place workloads where GPUs are cheapest or most available without rewriting code.
Technically, Polaris is a multi‑tenant, Kubernetes‑based control plane that installs a lightweight agent on every VAST node. Administrators declare the desired state—such as cluster size, GPU quota, or compliance region—and the platform automatically provisions resources, coordinates upgrades, and replaces failed nodes across any public cloud, neocloud, or private datacenter. Integrated with VAST’s AI Operating System and DataSpace, it provides a global namespace for data while abstracting infrastructure location. Enterprise‑grade features like role‑based access control, audit trails, and single sign‑on ensure that security and governance keep pace with scale.
For businesses, the promise of a unified control plane translates into measurable cost savings and faster time‑to‑market for AI initiatives. Centralized policy enforcement reduces the risk of regulatory breaches, while intent‑driven automation cuts manual provisioning effort by up to 70 percent in early pilot programs. As AI workloads become a staple of digital transformation, vendors that can deliver seamless hybrid‑multicloud management—without additional licensing fees—gain a competitive edge. Polaris positions VAST Data as a strategic partner for enterprises seeking to operationalize AI at fleet scale.
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