Substrate / Platform
The whole path from model to user, managed.
You bring a model. Substrate handles compilation, batching, routing, scaling, and failover, and gives you one endpoint and one bill for all of it.
Any model, one API
Open-weight, fine-tuned, or fully custom. Deploy a new model behind the same endpoint and shift traffic gradually with built-in canaries.
Compiled, not interpreted
Every model is compiled to Substrate silicon ahead of time. Continuous batching keeps p99 flat while throughput climbs.
Zero to peak, automatically
Scale to zero between requests; absorb a launch-day spike without a capacity ticket. You never provision a GPU by hand.
Failover you never see
Health-checked routing moves traffic off a degraded region in milliseconds. Your users get an answer; you get an alert.
Every token, accounted for
Per-request latency, tokens, and cost, streamed to your dashboard and your warehouse. No sampling, no guessing.
Isolated by default
SOC 2 Type II, private networking, and per-tenant isolation. Your prompts and weights never leave your boundary.
Twelve regions. One thing to think about: your product.
Substrate runs its own inference fleet across twelve regions, kept warm and load-balanced so your traffic always has somewhere fast to land. We buy the hardware, negotiate the power, and eat the idle capacity, so your bill only reflects the tokens you serve.
Why we run our own fleetThe same workload, without the operations.
| Provisioning | Autoscaling to zero. No instances to reserve or right-size |
|---|---|
| Latency tuning | Kernels compiled and batched for you; p99 held under load |
| Billing | Per token served, not per GPU-hour reserved |
| Multi-region | One endpoint routes globally; failover is automatic |
| Migration | Point your existing client at Substrate; keep your model |
See your numbers on Substrate.
Send us a workload you run today and we'll benchmark its latency and cost on Substrate, before you migrate anything.