Unified GPU orchestration
Paladin
The control plane for your GPU fleet. Paladin deploys models, partitions GPUs into right-sized slices, and reports occupancy from the silicon itself — observed truth, never inferred.
Book a DemoObserved-truth occupancy
Fleet state is polled from the GPUs themselves, per device — not inferred from what was requested. The board never lies.
Partitioning
Slice a GPU into 10–80GB partitions sized to the workload, and hand each slice to a different team or tenant.
Reconciled deployments
Every model runs a pending → pulling → starting → healthy state machine; endpoints that go dark stop receiving traffic and recover on the next live probe.
Detailed use cases for Paladin are coming soon. If you want the specifics for your workload now, book a demo — we'll walk through it live.