Enterprise-grade
inference
Open intelligence with mission-critical reliability—from first token to global scale
Inference, measured where it matters.
Reliability
Keep production workloads available through traffic spikes, capacity loss, and regional change—backed by a globally available footprint that keeps capacity close to demand.
The lowest $ per completed task.
Engineered for extreme cost efficiency—the most reliable intelligence at the lowest price point.
Speed
Smart routing disaggregates workloads for maximum efficiency, and a hyper-optimized serving stack keeps latency-sensitive use cases fast.
Supported models
Access new open models the moment they release and run at the open-source frontier—without locking the workload to one model stack.
One engine.
Two ways to run.
Start on serverless endpoints and move to dedicated clusters when you need reserved capacity—every deployment runs on the same Alumina Inference Engine.
Serverless Endpoints
Start with an API call. Elastic capacity that follows demand—no clusters to manage, no idle reservations.
Dedicated Clusters
Reserved, isolated capacity in the regions you choose—fully managed, with the control to tune hardware and execution for your workloads.
Measured against reliability and performance targets.
One execution path.
Serverless or dedicated—the same engine underneath.
Place prefill, decode, memory, and network around the workload—not a fixed endpoint.