The premise
To get AI good enough to matter, you were told to send your data somewhere else.
That tradeoff is presented as a law of nature. It isn't. It's a temporary state of the tooling — and the tooling just changed.
This deck is the evidence.
The problem, today
Adopting AI in the enterprise means giving something up — whichever door you take.
Quality, modern agents, a real product experience. But your prompts, your files, your knowledge base leave the building. You are locked to one vendor's catalog. Every request is one more thing to justify to your DPO.
Your hardware, your weights, nothing leaves. But too often a chat box and little else. No real memory, no agents, models capped by a single machine's RAM. The experience of 2023.
Between data leaving and local tinkering, the third door was missing.
What it would look like
Now picture the model on your own silicon.
A 397-billion-parameter model running in your server room, at the precision it was trained on. Your client contracts in the knowledge base. Your team's decisions remembered across every conversation. Agents that read and write files on your machines. And not one byte leaving the LAN unless you decide it should.
That is the third door. The rest of this deck shows it exists.
The honest objection
You're thinking local means slow, weak, and fragile. Here are the numbers.
6 nodes
It runs the big models.
Inference distributed across up to six Apple Silicon nodes over Thunderbolt 5 RDMA. One Mac Studio runs a serious model; six run what the cloud runs — up to 1T parameters in Q8.
94.4%
Within one point of the frontier.
Qwen 3.5 397B in full BF16, on a 4-node cluster, measured against Claude Opus as the ceiling. 16 local configurations tested — real per-task scores, not a generic leaderboard.
0
It stays up.
One node, unattended, continuous: 96h 44m uptime, 23,549 inferences served, zero failed requests. Two models in parallel. No Docker, no Python, no babysitting.
The doubt is legitimate. The numbers answer it.
What you operate
You run frontier models on your hardware. You keep the context. You stay free to leave.
You deploy the engine on your Apple Silicon. You hold the knowledge in your own graph — personal, team, company. You run agents in your own shell. The cloud is an option you switch on, never a dependency you inherit.
Standard protocols everywhere. No proprietary SDK. The day you want out, you walk out.
Where it stands
This is not a roadmap. It runs today.
The only question an enterprise really asks is whether it will still be running on Monday. It will.
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