Introduction

Inference is where AI comes to life. Once models are trained, inference is the process that turns them into real applications: answering customer questions, detecting fraud, generating insights, or powering search.

But many organizations run inference on foreign cloud providers. This creates hidden risks: data may leave the country, compliance becomes complicated, and sensitive workloads operate outside of trusted environments. These challenges undermine trust at the very moment AI is meant to deliver value.

SITE Cloud provides a different path. With our sovereign Inference APIs, organizations can run inference locally, securely, and compliantly, without the risks of foreign infrastructure.

The Risks of Foreign Inference Hosting

When inference workloads run in foreign clouds, data is no longer under local control. Sensitive information may be transferred across borders, exposing it to different legal systems and jurisdictions.

For industries like finance, healthcare, and government, this is not just a theoretical problem. It can mean non-compliance with local data regulations, increased risk of breaches, and loss of operational sovereignty.

Even when providers promise strong security, the lack of control over infrastructure location and management creates uncertainty. For many organizations, that uncertainty is unacceptable.

The Operational Challenge

Inference is not static. Workloads must scale up and down depending on demand. This makes managing performance, latency, and reliability critical.

In foreign cloud providers, scaling inference often comes at the cost of transparency and predictability. Organizations have little visibility into where workloads are running and what risks they are exposed to.

The result is a fragile foundation for critical applications.

SITE Cloud Inference APIs

SITE Cloud eliminates these risks with sovereign Inference APIs. Our services ensures that inference runs locally, keeping data inside national borders and within a secure, compliant environment.

With more than 60 integrated security measures, inference workloads are protected by design. Organizations gain the benefits of reliable, scalable inference without the compliance and sovereignty concerns of foreign providers.

Key Benefits of SITE Cloud Inference

• Sovereignty Guaranteed: All inference runs locally, keeping data in Saudi Arabia.

• Compliance by Design: Regulatory requirements are met from the start.

• Security Embedded: 60+ security measures protect every workload.

• Reliable Performance: Inference is optimized for consistency and availability.

Where Inference Fits Into the AI Lifecycle

Inference is a critical step, but it is only part of the AI lifecycle:

• Training and serving models requires reliable GPUs.

• Different types of inference, such as LLMs, embeddings, and reranking, serve different needs.

• And choosing the right type of model, whether general purpose, coding, or specialized determines the quality and efficiency of outcomes.

With SITE Cloud, each stage of this lifecycle is supported within a sovereign, secure foundation.

Conclusion

Running inference on foreign cloud providers creates risks that many organizations cannot afford. Data sovereignty, compliance, and security cannot be compromised.

With SITE Cloud’s Inference APIs, inference runs locally, securely, and compliantly. Organizations can deploy AI applications with confidence, knowing their data never leaves their control.