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CONCEPT

Personal AI Starts on Your Computer

TARX is Personal AI Compute that starts on your Computer. Supercomputer is permissioned power when the Computer is not enough.

Last updated · April 19, 2026

concept2 min read·by TARX

TARX is Personal AI Compute that starts on your Computer.

The product starts locally. Your first useful path is not a cloud account, a SaaS workspace, or a token meter. It is a runtime on your machine with private memory, files, tools, and routing under your control.

The launch truth

TARX is free.

Computer by default. Supercomputer by permission.

Give compute. Get compute. Buy more only when you need more than you give.

What private means here

Private does not mean magic. It means the system has explicit boundaries:

  • local-first execution for private work
  • private memory the user approves
  • Vault boundary for secrets, keys, passwords, and credentials
  • governed routing before hosted or enterprise compute
  • evidence trail for route decisions and approvals

Supercomputer

Supercomputer is for work that needs more than the Computer can comfortably provide. It should not be the default path for private context.

When Supercomputer is appropriate, TARX should explain the route, ask for approval where required, and preserve route evidence.

Enterprise and public-sector evaluation

Teams evaluate TARX as operational AI control infrastructure: one runtime, one policy layer, and one evidence model across local devices, TARX-managed Supercomputer, customer-scoped infrastructure, and approved provider agreements.

TARX public pages do not claim compliance status by default. Certifications, procurement status, and regulated-workflow approvals depend on the specific deployment and contract.

Get started

  1. Download TARX Free
  2. Run your first Computer route
  3. Approve private memory only when it is useful
  4. Use Supercomputer only when the Computer is not enough

Your context should stay yours.

Have questions about this? Download TARX and ask directly — your AI runs locally, trained for compliance workflows.


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