Runtime
The orchestration engine for distributed AI
Coordinate, schedule, and manage AI workloads across heterogeneous hardware—securely and at scale.
Runtime is the control layer that powers all webAI deployments. It manages how and where models run, allocating tasks across devices and clusters to keep utilization high and performance consistent. Whether executing one model on a single Mac or hundreds across a private network, Runtime ensures reliability, visibility, and sovereignty.
Automatically coordinates AI workloads across devices and clusters in heterogenous edge environments.
Add or remove hardware dynamically; Runtime balances workloads to maintain peak efficiency.
Works across the entire Apple hardware ecosystem.
Minimizes disruption when nodes go offline or workloads shift, with initial failover support in place.
Runs locally within your network after setup, with verified dependencies and no external runtime calls.
Inside Runtime the distributed systems layer that turns existing hardware into a cohesiveAI cluster.
Automatically assigns workloads based on resource availability, latency, and performance metrics.
webAI brings every layer of sovereign AI into one system. From model creation to deployment and orchestration, explore how the pieces fit together to power custom, private AI across your organization.