Most AI tasks no longer need a frontier model Read launch post

Cut AI costs with models built for the task

SIE serves small open models for everyday AI tasks. Find a model that meets your quality target, then call our API or run it in your own cloud.

your deployment.
Setup
Example private-cloud deployment
Owner
Your platform team
  1. Where do model requests run?

    On SIE workers in the cloud account and region you choose.

  2. Who can call the models?

    Your applications, through access rules you configure.

  3. What does an offline deployment need?

    Mirrored images and model files, with telemetry turned off.

  4. Who owns the deployment?

    Your team. Superlinked support is optional.

Bring your configuration to the security review In your control
  1. Documents to JSON $7,680 $728 1,000,000 documents on Claude Sonnet 5.5 More values exactly right
  2. PDF pages searched $740 $200 1,000,000 pages on Cohere Embed v5 Pro Ranking quality: 64.0 vs 64.8 nDCG@10
Total $8,420 $928

Call our API, or run the same models in your own clusters

Run locally

The open-source server, free on your laptop or a GPU VM.

  • Apache-2.0, the engine behind both
  • NVIDIA GPU or Apple Silicon
  • Same SDK and model IDs as the API
  • Offline; data stays on your machine

Native Inference

Run SIE Cluster in your own cloud, with our engineers helping your team evaluate models and operate the deployment.

Contact us

Tell us about your use case and we'll get back to you shortly.

Apply for an inference grant

Free capacity on our hosted cluster for selected projects. Tell us what you run and we reply by email.