Sovereign AI: Own Your Infrastructure, Models & Inference

Artificial intelligence has become vital to nations, governments, and large corporations. Many of these large organizations are implementing Sovereign AI systems, which will provide them with artificial intelligence services, including infrastructure, data, models, and a trained workforce combined with the security and data privacy features that will enable them to achieve their agenda. A sovereign AI solution is one that is fully contained within an entity, such as a company or country, and enables the organization to meet its objectives while maintaining security and privacy. Increasingly, that comes down to a single question: who owns the model itself.

TL;DR

• Sovereign AI means an organization, whether a company or a country, keeps its AI infrastructure, models, and data fully under its own control.
• Model ownership is the real test of sovereignty: Once a model is fine-tuned on national or private data, that data lives inside the model's weights.
• Sovereign AI rests on four pillars: infrastructure, model ownership, high-performance model serving, and partnership.
• SambaNova's complete platform is SambaRack hardware running SambaStack software, delivered on-premises, as a dedicated cloud instance.
• SambaNova's RDU serves today's largest frontier open-weight models, with SambaRack SN50 scaling to models up to 10 trillion parameters and context windows up to 10 million tokens.

Governments commonly invest in domestic infrastructure and other programs to advance their national capacity for transportation, defense, healthcare, economic production and more. Similarly, large enterprises build out their own infrastructure to speed time to market, streamline processes, harden their supply chain, and better serve their customers. While there is no longer debate about the importance of successfully applying AI by governments and industry, identifying and deploying a complete solution at the scale required for these large organizations and with the necessary data governance can be challenging.

SambaNova, creators of the first full stack, from chips to models, AI infrastructure platform purpose built for governments, enterprises, neoclouds, and frontier AI labs, is delivering the ideal infrastructure platform for sovereign AI.

The SambaNova solution can drive domestic development and ownership of AI assets through four key components: infrastructure, model ownership, high-performance model serving, and partnership.

SambaRack, running SambaStack software, is SambaNova's full stack hardware-software system purpose-built for AI inference. It is powered by SambaNova's RDU, which delivers industry-leading inference performance with a significantly smaller power footprint than GPU-based systems.

Delivered as a rack-scale, on-premises solution in the customer data center, SambaRack offers the performance, power efficiency, and dedicated, private hardware needed for an AI program serving a nation, a neocloud, or a multinational corporation.

Model Ownership

Any AI model can run with open data. To deliver meaningful value, models must be further fine-tuned with private data. This enables the model to process content that is not available in open datasets.

A core component of sovereign AI is that data remains secure and private. Once a model has been fine-tuned with data, that data is then in the model. If the model sits outside the organization, or an entity outside that organization's jurisdiction holds ownership of the model, the data can no longer be considered sovereign.

The SambaRack and SambaStack platform was built and designed with security and data privacy as primary features and model ownership is a core component of this. With SambaNova, once a model has run private data the customer then becomes the owner of that model. This ensures that the model and the data it has been trained on stays within the confines of the customer environment.

Serving the Models Your Nation Actually Needs

Delivering on the accuracy and breadth of use cases sovereign AI requires means serving the largest, most capable models available, not building a proprietary alternative to them. SambaNova's RDU is optimized to run frontier open-weight models directly, so operators can offer what developers and citizens are already asking for without a bespoke engineering project for every model.

SambaRack SN50 scales to 256 networked accelerators, supporting models up to 10 trillion parameters and context lengths up to 10 million tokens, all served from a single endpoint. That scale means large organizations can fine-tune models quickly, or build their own, and run them on infrastructure they control rather than a shared multi-tenant service.

Partnership

At SambaNova we believe that we must empower the customer to be successful. To that end, when a customer deploys SambaRack or SambaStack, our team of dedicated AI experts will work with the customer to ensure that they achieve their goals.