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Data & AI

Private AI Infrastructure: On-Premise AI for Saudi Organizations

iPower builds on-premise AI platforms, with GPU servers, high-performance storage and privately deployed large language models, sized to your use cases and connected securely to your internal systems.

Generative AI can summarize documents, answer staff questions and speed up routine work. But for banks, government entities and hospitals, putting sensitive data into a public AI service is often not an option. Private AI keeps the models and the data inside your own data center. iPower has supplied and supported enterprise infrastructure in the Kingdom since 2016, and we help you plan, build and run that platform: from sizing the right GPU servers and storage to deploying models and integrating them with your documents and systems.

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1The problem we solve

  • Strong interest in AI across the business, but policies that rule out sending internal data to public AI services.
  • Uncertainty about how much GPU compute and storage a use case really needs.
  • Pilots that worked on a laptop but have no production-ready infrastructure behind them.
  • Concern about who can see what once AI is connected to internal documents.
  • No plan for operating and supporting the platform after go-live.

2Scope of work and what you receive

  • AI-ready GPU servers & high-performance storage

    Compute and storage supplied, installed and configured in your data center.

  • Private deployment of large language models

    Language models running on your own infrastructure instead of a public service.

  • Secure integration with internal systems & documents

    Connecting the platform to your knowledge sources, with access rules agreed with your security team.

  • Sizing based on your use cases & data

    A workload and data assessment before you invest, so the platform matches real demand.

  • Operation & support after go-live

    Maintenance, monitoring and expansion as usage grows.

What you receive at handover

  • Use-case and sizing assessment before purchase
  • Supplied and installed GPU infrastructure
  • Deployed platform and models, tested on your use cases
  • Access controls, documentation and handover

3Support and maintenance after delivery

  • Hardware support and vendor coordination
  • Platform and model updates
  • Capacity reviews as usage grows

Coverage and response times are set in your contract to match your needs. See also: Support & Maintenance, IT Outsourcing & Managed Services

Sectors we serve

  • Banking & finance

    AI on confidential customer and internal data in a regulated environment.

  • Government & semi-government

    Use cases where data classification calls for on-premise processing.

  • Healthcare

    Working with patient-related information that must stay protected.

  • Enterprise & telecom

    Internal assistants and document search across large organizations.

Saudi regulatory alignment

AI raises data-protection and governance questions. Depending on your organization, these Saudi frameworks may be relevant:

SDAIA AI Ethics Principles

Principles such as privacy and security, reliability and safety, transparency and accountability across the AI lifecycle. SDAIA has also published Generative AI Guidelines for government entities and for the public.

Personal Data Protection Law (PDPL)

Applies whenever AI systems process personal data; keeping processing on-premise can simplify questions about transfers outside the Kingdom.

NDMO standards & data classification

For government data, classification determines where and how data may be processed.

NCA ECC-2:2024

For in-scope entities, the AI platform is part of your environment and subject to the same cybersecurity controls as other systems.

iPower supports the technical controls and evidence; formal compliance remains the responsibility of your organization and is confirmed by the relevant regulator or auditor.

Technology brands we supply and support

  • Dell Technologies
  • HPE
  • Lenovo
  • NetApp

Why iPower

  • Infrastructure depth

    Data center, servers, storage and networking delivered by one integrator.

  • Sized before you buy

    Recommendations based on your use cases and data, not on the largest configuration.

  • Used to regulated environments

    We serve leading Saudi banks with demanding security requirements.

  • We stay after go-live

    Operation, support and expansion as your AI use grows.

  • Serving leading Saudi banks
  • Delivery across every region
  • Support long after handover

Frequently asked questions

What is private AI?

Private AI means AI models running on infrastructure you control, typically in your own data center, so prompts, documents and results do not leave your organization.

Which language models can you deploy?

We select models based on your use case, language requirements such as Arabic support, and the hardware you plan to run. Model options are agreed with you during the design stage.

How do you size the GPU servers?

We assess your use cases, expected number of users, data volumes and response-time needs, then propose a configuration with a clear scope and cost.

Can the AI use our internal documents securely?

Yes. Secure integration with internal systems and documents is part of the service, and access rules are agreed with your security team before go-live.

Does private AI make us compliant with Saudi AI and data rules?

Infrastructure alone does not make an organization compliant. Keeping data on-premise helps, but governance, policies and use-case decisions remain your responsibility under SDAIA guidance, the PDPL and your sector rules.

Have an AI use case but can't send the data outside?

Share it with us. We will assess the requirements and propose a private AI platform sized to it.

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