AI Infrastructure You Actually Own
Vault Alpha Cube runs open-weight AI models inside your network, built to the same standard as the data it protects. Plug it into your network, run cutting edge AI models locally, and eliminate data exposure from the outside world.
Your AI. Your Data. Your Network.
Cloud AI sends prompts, documents, and proprietary data to infrastructure outside your control. For regulated teams, that transfer can put attorney-client privilege, compliance posture, financial records, and medical data at risk. Vault Alpha Cube keeps inference inside your business, behind your firewall, and under your authority.
Physical Isolation
No wireless radios. Ethernet only.
Air-lock media intake
Model weights, datasets, and files are staged, scanned, and released only after approval.
Physical Access Control
Locking chassis. Tamper-evident seals.
Local Authentication
No SSO round-trips through someone else’s identity provider.
Meet GEM, your assistant inside Vault OS.
Prompt, follow up, and hand off heavier work the way you would with any modern LLM. GEM searches your files, queues background jobs, manages models, and handles fine-tuning with the same instincts you use in cloud chat tools, except the conversation never leaves your network.
Same chassis.
Same boundary.
Both models use the same 18-inch anodized aluminum enclosure and the same air-gapped architecture. Choose the compute footprint that matches your workload.
Alpha Cube
For teams running frontier 70B-class models with strong concurrency. The default starting point for most organizations.
- 2× NVIDIA RTX 5090
- 32-core Threadripper Pro
- 256 GB RAM
- 8 TB local NVMe storage
- Single PSU · standard power
Alpha Cube Pro
Doubles the compute headroom for organizations training larger models, running heavier concurrent workloads, or hosting more agents.
- 4× NVIDIA RTX 5090
- 32-core Threadripper Pro
- 512 GB RAM
- 8 TB local NVMe storage
- Single PSU · enhanced power
The full platform, at a glance.
Six pieces that turn an aluminum enclosure into a working AI environment: an air-gapped network posture, dense local compute, Vault OS for running models, fixed-cost token economics, multi-cube clustering, and an on-chassis status display.
Data never leaves the building.
Disconnected by design. Every model, prompt, document, and inference stays behind your own firewall. Nothing about your work product is uploaded, mirrored, or sent back as telemetry.
Frontier-class horsepower in an eighteen-inch chassis.
Frontier-grade performance in an 18-inch cube. Alpha Cube Pro scales to four NVIDIA GeForce RTX 5090 Founders Edition GPUs and 256 GB of RAM, enough headroom for 70B-class models and concurrent agent workloads.
Status and thermals at a glance.
An on-device AMOLED display surfaces what’s running, who’s connected, and how hot the silicon is.
More cubes, one local resource pool.
Run multiple cubes side by side and Vault OS pools their compute as one local resource for larger deployments.
Own the hardware instead of metered inference.
Cloud AI costs rise every time a team retries a prompt, adds an agent, or runs a larger job. Alpha Cube turns inference cost from recurring token billing into a one-time hardware purchase you already own.
Llama, Mistral, Qwen, or your own weights.
Run frontier open-weight models such as Llama, Mistral, and Qwen, or upload your own fine-tunes. Vault OS handles deployment, agent orchestration, and background training jobs.
Run the numbers on ownership.
Estimate annual cloud-AI spend, compare it with a one-time Vault hardware purchase, and see the configuration sized for your team.
Heavy daily AI use lands around $600/mo across Cursor, Claude, Copilot, and API overage.