Substrate

Self-hosted inference

Run your models where your data already lives.

Substrate schedules, scales and observes model workloads across your own GPUs — the same control plane whether that means two machines in a closet or four hundred in a colo.

SOC 2 Type II. Deploys air-gapped. No egress to us, ever.

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Running in production at

Kessler HealthNorthbeamArclight LabsTesseraBowen & Co

Your GPUs, scheduled properly.

Most teams buy hardware and then leave it idle two-thirds of the day because nothing sits between the models and the metal. Substrate is that layer.

Queue-aware scheduling

Batch jobs fill the gaps left by latency-sensitive traffic. Priority classes are declarative, and pre-emption is graceful rather than a hard kill.

One API across engines

vLLM, TensorRT-LLM, llama.cpp and your own containers sit behind a single OpenAI-compatible endpoint. Swap the engine without touching client code.

Traces you can act on

Per-token latency, cache-hit ratio and per-tenant spend, exported straight to OpenTelemetry. No proprietary dashboard you are forced to live in.

Nothing leaves the boundary

The control plane runs inside your network. Licence checks are offline, and there is a documented air-gapped install for regulated environments.

3.1×

Median GPU utilisation after migration, across 40 clusters

18 ms

Added p99 routing latency at 10k requests per second

6 days

Median time from first install to production traffic

From bare metal to first token.

Four steps. Most teams finish the first three in an afternoon.

Install the control plane

One binary or a Helm chart. It discovers the nodes you point it at and inventories every GPU it finds.

Register your models

Pull from a registry, a bucket, or a local path. Substrate handles sharding and warm-up.

Set your priority classes

Decide what pre-empts what. Interactive traffic wins by default; batch jobs backfill.

Point your clients at it

Change one base URL. Existing OpenAI SDK code keeps working unmodified.

We had eight A100s sitting at nineteen percent. The scheduling change alone paid for the year.
Priya Ramanathan, Head of Platform, Kessler Health
The air-gapped install actually worked on the first try, which has not been our experience with anything else in this category.
Marcus Oyelaran, Infrastructure Lead, Tessera

Try it on one node this week.

Free for a single machine, forever. No card, no call with a rep first.