AI Infrastructure You Actually Own
Vault Alpha Cube runs AI models privately and securely 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 to the outside world.
$5,000 deposit · non-refundable · holds your placeRemaining hardware balance invoiced before shipment.
Your AI. Your Data. Your Network.
When using Cloud AI, your prompts, documents, and proprietary data are sent infrastructure outside your control. Those transfers can expose privileged communications, compliance records, financial data, medical information, and proprietary data. The Vault Alpha Cube keeps inference inside your business, behind your firewall, and under your authority.
Physical Isolation
On premise and under control. Always know where your data is and who has access to it.
Air gapped data intake
Model weights, datasets, and files are staged, scanned, and released only after your approval.
Access Control
High security internal roles and deep customizable access settings.
Local Authentication
No external identity providers and authentication you’re able to customize.
Meet GEM, your personal agent inside Vault OS.
Prompt, follow up, and hand off work the way you would with any modern LLM. GEM searches your files, queues background jobs, manages models, performs tasks, connects data, makes predictions, and handles fine tuning with the same instincts you use in cloud based agents using the top of tech tools. The difference is the conversation never leaves your network.
Same cube.
Same isolation. Different horsepower.
Both of our models use the same high security and air gapped architecture. Choose the power that matches your workload.
Alpha Cube
For small teams concurrently running models with a need for simultaneous multiple users. The default starting point for most organizations.
- 2× NVIDIA RTX 5090
- 32-core Threadripper Pro
- 256 GB RAM
- 4 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 things turn an aluminum box into a working AI environment your whole team can use — privately.
Your data never leaves the building.
No cloud, no outbound connections, no telemetry. Every model, prompt, document, and result stays on your own network, behind your own firewall. Nothing about your work is uploaded, mirrored, or sent home to us.
Frontier-class horsepower in an 18-inch box.
Alpha Cube Pro runs four NVIDIA RTX 5090 GPUs with 512 GB of RAM — enough to run 140B-class models and multiple agents at once.
Status and thermals at a glance.
An AMOLED display shows how things are running, what’s the state of the system, and how hard the hardware is working.
More cubes, one pool of power.
Add cubes as your needs grow. Vault OS combines them into a single pooled local resource for larger deployments. No cloud, no rearchitecting needed.
Own the hardware. Stop paying per token.
Cloud based AI systems bill you every time someone retries a prompt, adds an agent, or runs a bigger job. The Alpha Cube turns that recurring cost into a one time purchase you own outright.
Bring your own models.
Run open-weight models like Llama, Mistral, and Qwen, or upload your own. The Vault OS and GEM handles deployment, agent orchestration, and background training.
Run the numbers on ownership.
Estimate annual cloud AI spend, compare it with a one time Vault hardware purchase, and find the best configuration size for your team.
Heavy daily AI use lands around $600/mo across Cursor, Claude, Copilot, and API overage.