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 in and run cutting edge models locally at maximum settings, with no tokens to count and no ceiling on what your team can do.
What's inside every Cube.
The platform, the agent, the clustering, and the security. All running locally, all under your control.
VaultOS
The intelligence that runs everything. You focus on the work. It handles the rest.
GEM
Your personal agent inside the system. Everything you expect from a modern agent, with none of the limits.
VaultLink
A system that grows with you. More Cubes, more power, seamlessly working together as one.
VaultShield
Total control over your data. It lives on your own system, in your own building. On-prem is the new cloud.
Meet GEM, your personal agent inside VaultOS.
GEM understands your files, queues background jobs, manages models, performs tasks, connects data, makes predictions, and handles problems with the same instincts used in cloud based agents using the most advanced tools. The difference is the data never leaves your control.
Your AI. Your Data. Your Vault.
When using Cloud AI, prompts, documents, and proprietary data are sent outside your network to servers you have no control over. Those transfers can expose privileged communications, compliance records, financial data, medical information, or proprietary data. The Vault Alpha Cube keeps your privileged data where it belongs, under your authority and private.
Physical Control
Know where your data is, who has access to it, and how it's used.
Air Gapped Data Control
Datasets, documents, and files are staged, deep scanned, and injected into the computer.
Access Control
Highest security data controls with deep customizable access settings for all users.
Local Inference
No external AI models or agents accessing your data. Keep outside corporations away from your private data.
Same cube.
Same security.
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
- 128 GB RAM
- 4 TB local NVMe storage
- 1300W PSU
- Custom VaultOS and agentic system
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
- 256 GB RAM
- 8 TB local NVMe storage
- 3000W PSU
- Custom VaultOS and agentic system
The Vault platform, at a glance.
Why the Alpha Cube is a special working AI environment your whole team can privately use.
Your data never leaves the building.
Every 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.
A micro data center at your fingertips.
The Alpha Cube Pro runs four NVIDIA RTX 5090 GPUs with enough VRAM to run 200 Billion parameter quantized 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 at any given time.
More cubes, one pool of power.
Add cubes as your needs grow. VaultLink, our proprietary clustering technology, combines them into a single pooled local resource for larger deployments. No cloud or rearchitecting needed.
Stop paying per token. Own the hardware.
Cloud based AI systems bill you every time anyone types a prompt, runs an agent, or tries to interpret data. The Alpha Cube takes that ongoing recurring cost and frees you from that with ownership and control over your compute.
Bring your own models.
Run frontier models like GPT, GLM, Kimi, Deepseek, and Qwen, or upload your own. The VaultOS and GEM handles deployment, agent orchestration, tasks, 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.