AI infrastructure · on-premise
AI that never
leaves orbit.
Your data sits in the vault. Models, retrieval and GPUs orbit it on your hardware or in your own cloud account, and we keep every ring in orbit. Nothing you feed a model escapes the pull.
Mission profiles
Three trajectories,
one control room
Your hardware
Your racks or colo. We install k0s and the GPU stack, then fly it remotely over the mesh.
Your AWS or GCP
GPU nodes inside your own cloud account and compliance boundary, on the same cluster.
Burst compute
Batch jobs on non-sensitive data launch to on-demand GPU marketplaces at the lowest hourly price, then return.
What we keep in orbit
Every ring,
one pager
Four layers, all open source, all operated by us. Your team only touches the API at the top.
vLLM or Ollama serving open-weight models behind an OpenAI-compatible API.
pgvector or Qdrant with ingestion pipelines. RAG on your documents, backed up like any database.
NVIDIA GPU Operator on HA k0s: drivers, device plugin, scheduling that keeps cards busy.
Training runs on your own data, queued onto idle GPUs and versioned next to the base model.
Downlink
Telemetry comes down.
Payloads stay up.
Stays in your perimeter
- Prompts, completions, chat history
- Documents and their embeddings
- Fine-tuned weights
- Inference on anything sensitive
Crosses the mesh
- Metrics and alerts for our on-call
- Public base-model downloads
- Non-sensitive batch jobs, if you allow them
Countdown
From scoping call
to stable orbit
Models, data rules, the hardware you have or need. A written flight plan and a fixed quote.
Cluster, GPU stack, serving and retrieval, wired into your apps and identity provider.
Upgrades, capacity and 24/7 on-call. Open source all the way down: you can take the controls any time.
Priced per mission
Keep the
intelligence
in-house.
We already run our own offline AI products in production. AI work is quoted to your hardware and models after a scoping call.