Own Your AI
Stack
Open-source tooling and open-weight models you can run, inspect, and keep — deployed on your own hardware, with nothing locked behind someone else's API.
--port 8000 --gpu-memory-utilization 0.9
inference throughput
Your Data. Your Versions. Your Costs.
Open models and open source put you back in control — of your data, your versions, and your costs.
Control Over Your Data
Self-hosted open models mean sensitive data never leaves the building. GDPR, HIPAA, and data residency are handled by design — no third parties in the loop.
Control Over Versions
No one can swap your model out from under you or retire an API endpoint you've tuned against. Freeze a version for as long as you like, and upgrade only when you choose.
Control Over Cost
No per-token billing — running open models on your own hardware turns AI cost into essentially just electricity. Predictable, and it never balloons with usage.
Open-Weight Models
Run frontier-class open models on your own hardware — host them, inspect them, and swap them whenever you like. No black boxes, no revocable API.
- Gemma, Qwen, Llama, DeepSeek — your pick
- Several models served at once
- No rate limits or usage quotas
- Upgrade or swap any time
Open-Source Stack
The entire pipeline is open source — inference, chat, RAG, orchestration, and coding agents. Every layer is inspectable, self-hosted, and free of licensing lock-in.
- llama.cpp inference (OpenAI-compatible)
- Open WebUI for chat & RAG
- n8n for automation & agents
- ChromaDB, OpenCode & more
Deployed in the Real World
A complete open-source AI stack, running in production on a single on-prem box.
A Full Open-Source AI Stack on One On-Prem Box
A single compact desktop — NVIDIA's Grace Blackwell platform with 128 GB of unified memory — running headless on the local network. No racks, no cloud.
- A 122B-parameter open model — on a single desktop
- Plus several smaller models, all at once
- All of them at smooth, interactive speed
- llama.cpp — inference, OpenAI-compatible
- Open WebUI — private chat & RAG
- n8n — workflow automation & Slack agents
- ChromaDB & OpenCode — search & coding
Key insight — The trick is efficiency: modern open mixture-of-experts models deliver near-top-tier quality while doing only a fraction of the work — so a single box keeps up with what used to need a small server room.
Ready to Own Your AI Stack?
Let's talk about deploying open models and an open-source stack on your hardware.