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ARX Sovereign AI Private Cloud

In 15 minutes, turn private models into a manageable enterprise AI service.

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From Deploying Models to Operating Enterprise-Grade AI Services

Manage Private AI as Easily as an Enterprise Platform

The hard part of adopting private AI is usually not the model itself, but whether it can be reliably managed once it goes live.

ARX OS unifies GPU resources, inference runtimes, model deployment, API endpoints, API keys, access control, usage monitoring, and system operations into a single Private AI PaaS. Enterprises manage models and services through a graphical interface, instead of relying on scattered commands, one-off engineering setups, and the know-how of a few IT staff.

A model is no longer just installed on a GPU server — it becomes a manageable, publishable, monitorable, and governable enterprise AI service.

A Built-in Model Hub to Simplify Deployment, Switching, and Service Publishing

ARX Sovereign AI Private Cloud includes a built-in model orchestration hub that helps enterprises centrally manage different models, inference runtimes, GPU resources, and application scenarios.

Enterprises can deploy open-source models, proprietary models, industry models, or fine-tuned and distilled models, and publish them internally through a unified OpenAI-compatible API endpoint.

AI teams can test, replace, integrate, and ship model services faster; IT teams get unified access control, resource monitoring, usage tracking, and security governance.

Build Your Enterprise's Own Sovereign Model Capability

The value of sovereign AI is not only keeping data in a private environment, but also letting enterprises gradually accumulate their own model capabilities.

Through fine-tuning, distillation, and continuous optimization, enterprises can turn general models into private models that better fit their needs — understanding internal semantics, industry knowledge, local languages, regulatory culture, organizational processes, and domain terminology.

This improves answer accuracy, reduces hallucination and misjudgment, and makes AI capability a core asset the enterprise can accumulate, govern, and control over the long term.

Two Delivery Models

Dedicated Private Cloud or On-Prem Deployment

Dedicated Private Cloud

Dedicated Private Cloud Hosting

For enterprises and institutions that need significant AI compute but prefer not to handle facility space, power, cooling, hardware maintenance, or networking themselves.

  • Dedicated AI compute environment
  • Customers retain control over data, models, permissions, and service access
  • We help solve power, facility space, cooling, and hardware operations
  • Ideal for large model services, private model fine-tuning, distillation, and enterprise-grade inference
  • GPU servers, storage, networking, and security isolation planned to your needs
On-Prem Deployment

On-Premises Hardware Delivery

For enterprises and institutions with strict requirements on data sovereignty, network isolation, regulatory compliance, or special environments.

  • Physical equipment delivered to your data center, office, or controlled environment
  • Sensitive data, models, logs, and knowledge bases stay on the customer side
  • Deployable on intranet, private networks, or air-gapped environments
  • Ideal for enterprise knowledge bases, internal RAG, agent platforms, document analysis, and proprietary model services
  • Scale from single machines and department-level devices to higher-compute architectures

Use Cases

Large-enterprise private AI platforms
Sovereign AI for government and research institutions
Internal knowledge bases, RAG, and agent platforms
Industry-specific model fine-tuning and distillation
Highly sensitive data and intranet AI applications
Multi-department, multi-project, multi-model service management
AI scenarios that cannot rely on public cloud or send data off-site
Enterprises needing dedicated compute but lacking power, facility space, or operations staff

Model Selection

Private. Sovereign. Ready to Scale.

Sovereign AI PlatformGPU & SystemRecommended VenueApplications & Deployment
ARX-200RTX PRO 6000 × 2Edge Office or Private Cloud ServiceDepartment-level private AI, enterprise knowledge bases, RAG, agent apps, document analysis, internal model service publishing, and small-to-mid multi-user scenarios.
ARX-300GB300 AI StationEdge Office or Private Cloud ServiceHigher-end private model deployment, advanced RAG, proprietary model services, higher-concurrency internal AI, and sovereign model adoption.
ARX-500 or aboveMulti High Performance GPUServer Room or Private Cloud ServiceLarge enterprises, government, research, and critical industries building high-compute private AI platforms — supporting multi-department, multi-model, multi-project, and large model services.

Note:

  • Actual system configuration can be customized to your deployment needs and application scale.
  • ARX systems are high-value, custom-configured AI systems. Please contact ARDGE before purchase to confirm ARX OS features, specifications, and compatibility with your intended use. Custom-configured systems are non-returnable. Defective products remain covered under the applicable warranty and RMA policy.

Learn more about ARDGE’s latest Private AI solutions:

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Bring Private AI
into Operation

ARX Sovereign AI Private Cloud lets enterprises deploy private AI the Private PaaS way. From model setup and switching to API publishing, API key management, and access control, everything is done through a no-code graphical interface.

Enterprises don't just deploy models — they build a sovereign AI platform they own, that fits IT management and accelerates AI-team innovation.

usasales@ardge.com