Solutions ยท Secondary Thermal Compute Cell

The model runs in your building, and the data never leaves it.

8 AMD MI300X accelerators, from a single stackable unit based on each client's grid, compute needs, and existing building infrastructure, running the deterministic model tuned to that silicon. It sits inside your perimeter and answers in milliseconds.

This is the on-site delivery of the Allodial model: an operating system shaped to one client, running beneath the stack.

Top-down view of an open eight-GPU accelerator node: eight cards in a row with liquid-cooling loops, dual power supplies, and the mainboard in a rack chassis.
Lean-verified Deterministic Zero data egress Air-gappable

8 RTX 6000 model option

01 The STCC
The STCC

It arrives finished and racked.

The chassis arrives racked and the model arrives tuned to its GPUs, with the proof stack intact. You power it on behind your firewall and it runs.

The fit

Shaped to one client.

The system is integrated into your data, your regulators, and your hardware until it runs beneath everything else. That is what makes the determinism hold on your own floor.

The hardware

Eight AMD Instinct MI300X.

Eight MI300X accelerators hold 1.5 TB of HBM3 on one board, enough to keep a serious model resident and serve high-volume inference on-site, with headroom for heavy regulated workloads. NVIDIA RTX 6000 remains available where a lighter node fits the workload.

The harness

The cards do not idle here.

Run a frontier model the usual way and the GPUs sit under half used, waiting one token at a time; you are paying for silicon that spends its day idle. Model agnostic. Our Lean4 harness runs your models faster, on hardware that stays local. You bought the compute. Here you use it.

02 On premises

The model belongs in the building you already control.

Certainty

The same input returns the same output.

Every step is auditable, and the output carries a formal check you can read. Where a system has to be proven before it ships, the proof is what you are buying.

Sovereignty

Nothing leaves the building.

The model makes no external call, so the data has no path off the premises. The obligations that attach to moving data across borders have nothing here to attach to. Full hash-to-hash bit transparency and traceability on compute makes data residency and auditability provable, which is what GDPR asks you to demonstrate.

03 The economics

The STCC has no meter.

You own the hardware, so the cost is fixed the day the node arrives. With no counterparty to meter the inference or the storage, asking the model more costs only electricity.

It also retires a cost most buyers forget to price. Output that carries its own formal check removes the human confirmation step that unchecked systems require, and that step is billable. Under sustained load the hardware earns its cost back, and what it earns after that is margin.

04 Who it is for

For work where a wrong answer costs money and the data cannot leave the building.

01 Manufacturing

Precision industry that cannot guess.

Swiss and German manufacturing and process engineering, where a wrong tolerance carries cost and the design data cannot leave the floor.

02 Quantitative finance

Desks that need the same answer twice.

Trading and risk desks where the same input must reproduce the same result, and no position touches an outside API.

03 Legal and compliance

Work that has to be defensible.

Legal and compliance teams that need every output traceable and every document held inside privilege, with no processor in the chain.

04 Government and sovereign

Buyers for whom local is the requirement.

Public-sector and sovereign deployments where data residency is law and an air-gapped, deterministic system is the one that clears.

Open a conversation

Scope a local deployment for your environment.

We size the node to your workload and your regulators, then deliver it ready to run. Configuration and commercial terms come on request.

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