# ARADIA | sovereign & private agentic systems

> ARADIA | sovereign & private agentic systems — com-aradia-sovereign-hardware. Use this tool when you need to deploy sovereign and private agentic systems, leveraging on-prem Agentic AI on NVIDIA DGX to optimize model performance and calculate CapEx ROI. It solves problems related to secure and private AI deployments, providing a query-based interface for specs and model evaluation. Ideal for organizations seeking to purchase and integrate AI solutions while joining a partner program for enhanced support.

Canonical page: https://skillsregistry.net/skills/com-aradia-sovereign-hardware  
JSON: https://api.skillsregistry.net/v1/skills/com-aradia-sovereign-hardware

## Description

On-prem Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI, Purchase & join Partner Program.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.aradia%2Fsovereign-hardware)
- **Repository:** <https://github.com/ARADIA-systems/aradia-mcp-server>

## Use it

MCP endpoint published by the skill: `https://aradia.com/api/a2a/mcp-endpoint.php`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-aradia-sovereign-hardware"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-aradia-sovereign-hardware` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-aradia-sovereign-hardware/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt