Your AI should answer to you — not to another government.

What is sovereign AI?

Sovereign AI means the models, infrastructure, and data stay under your control — in your jurisdiction, on infrastructure you own or rent, without dependence on a foreign provider that can change terms, restrict access, or turn off your service. Plugsky runs the same open-weight models that power the best products in the world, on infrastructure you choose.

Why sovereignty matters now

Models change. Access gets restricted. Terms get rewritten. When your AI depends on a provider in another country, your product inherits that country's export controls and outage risk. Sovereign AI removes that dependency: open-weight models run anywhere, and your endpoint is not tied to one vendor's roadmap.

Deployment options

Option	Where it runs	Best for
Sovereign AI Cloud	In-region cloud (EU, GCC, APAC, US)	Data residency without hardware
Private AI Endpoint	Dedicated endpoint in your VPC	Regulated industries
On-prem LLM	Your data center	Air-gapped and classified workloads
White-label API	Your brand, our infrastructure	SaaS resellers

Arabic-first sovereign AI

Plugsky was built in Bahrain and supports Arabic natively — multilingual embeddings, Arabic-language models, and RTL-friendly documentation. For Gulf governments and enterprises, this means AI that speaks the region's language and stays in the region's borders.

Sovereign AI FAQ

Is sovereign AI slower than hyperscaler AI?

Not necessarily. Our models respond in 0.2–0.9 seconds on average, and in-region hosting can actually reduce latency for local users by keeping traffic within the region.

Do I need my own GPUs?

No. Start with the sovereign cloud; move to private endpoints or on-prem when you need it. The API stays identical.

Is the API compatible with OpenAI's SDK?

Yes. Change the base URL and your existing OpenAI code works. See the OpenAI-compatible API page.

Which models are available?

30+ models including Nemotron, Llama, Qwen, DeepSeek, Gemma, Mistral and more. See the full model reference.