One API. Every GPU on the network.
Hyperbolic aggregates distributed GPU supply into a single low-latency inference and training endpoint—hardware-agnostic, no reserved instances, no lock-in.
Distributed supply, unified routing layer
Hyperbolic's routing layer ingests GPU capacity from data centers, colocation facilities, and individual contributors, normalizing availability across providers into a single API surface.
Inference requests are scheduled against live hardware availability with sub-millisecond routing decisions. No single point of failure, no manual capacity planning on your end.
Reliability and security in the routing layer
Hardware-agnostic compute
Security baked into routing
Pay-as-you-go unit economics
Workload isolation, encrypted transit, and contributor verification are enforced at the routing layer—not patched on afterward. Your data doesn't touch untrusted nodes.
H100, A100, RTX 4090, and more—workloads run on whichever GPU tier matches your latency and cost target without re-engineering your stack.
Per-second billing, no reserved instances, no surprise egress fees. Spend scales with actual usage—idle time costs nothing and there's no exit penalty.
High-throughput inference, low latency by design
The inference API delivers high-throughput batch and streaming completions with per-request SLA tracking. Latency profiles are published per GPU tier and updated in real time.
Global availability across North America, Europe, and Asia-Pacific. Automatic failover reroutes traffic within the region when a node degrades—no manual intervention required.