Private & Self-Hosted AI Deployment
When regulated or highly sensitive data cannot leave your control, Skytech Enterprise deploys private AI: open-weight language models running in your own Azure subscription, private cloud or on-premises infrastructure, with security, monitoring and governance.
Private AI deployment at a glance
Who this is for
CISOs, CTOs and compliance leads in regulated sectors such as government, healthcare, finance and legal.
When you need this
Data residency or confidentiality rules prevent using shared AI services, or you need full control over models and logs.
Delivery model
Design and deployment project on Azure GPU infrastructure, private cloud or on-premises hardware.
What is private AI?
Private AI means running AI models in an environment you control, so prompts, documents and outputs never leave your security boundary. Typically this uses open-weight models (models whose weights can be downloaded and hosted) on your own infrastructure, rather than a shared multi-tenant API.
Deployment options
- Dedicated Azure deployment – models hosted on Azure GPU virtual machines or managed endpoints in your subscription and region.
- On-premises – models served on your own GPU servers in your data centre.
- Hybrid – sensitive workloads on private models, general workloads on Azure OpenAI.
- Private RAG – knowledge assistants running entirely inside your boundary.
What we deliver
- Requirements – data classification, regulations and performance needs.
- Model selection – benchmark open-weight models on your tasks.
- Infrastructure – GPU sizing, serving stack and networking.
- Security – identity, network isolation, logging and access control.
- Operations – monitoring, updates and evaluation.
Trade-offs to consider
Self-hosted models give maximum control but require GPU capacity, operations effort and ongoing evaluation, and the most capable proprietary models may not be available. We help you choose the right balance between private and managed AI for each workload.
Why choose Skytech Enterprise
- Cybersecurity expertise for sensitive deployments.
- Azure and infrastructure engineering in one team.
- Honest, benchmark-based model recommendations.
Related AI services
Private AI FAQs
Common questions about self-hosted AI.
What are open-weight models?
Models whose trained weights are published so they can be downloaded and run on your own infrastructure, subject to their licence terms.
Is private AI as capable as the leading cloud models?
For many focused tasks, well-chosen open-weight models perform well. For the most complex reasoning, leading managed models may still be stronger, so we benchmark on your use cases.
What hardware do we need?
It depends on model size and usage. We size GPU capacity during design, either in Azure or on-premises.
Can private AI keep data in the UAE?
Yes, if hosted on infrastructure located in the UAE, such as an on-premises data centre or a UAE cloud region where suitable compute is available.
Who maintains the models after deployment?
Your team, Skytech Enterprise, or both, under an agreed operations model.
Keep your AI inside your boundary
Talk to Skytech Enterprise about private and self-hosted AI.