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. The second is where it runs, and whether the data centers already inside your borders have the power and cooling to host it.
TL;DR
- Sovereign AI means a company or country keeps its AI infrastructure, models, and data fully under its own control, and model ownership is the real test of that control.
- SambaRack SN50 is air-cooled and averages 20 kW per rack, so it integrates into existing air-cooled data centers with minimal modification.
- SambaNova's RDU uses a dataflow architecture built for energy-efficient inference, with SN50 delivering the best tokens per watt.
- SambaRack runs SambaStack software on-premises, as a dedicated cloud instance, or as a fully managed SambaManaged deployment, and scales to models up to 10 trillion parameters and 10 million token context windows.
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: energy-efficient infrastructure, model ownership, high-performance model serving, and partnership.
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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.
That efficiency comes from the dataflow architecture. The RDU minimizes data movement, avoiding the overhead GPU-based systems carry from moving data back and forth between memory. With SN50, that translates into the best tokens per watt SambaNova has delivered.
Each SambaRack SN50 combines 16 SN50 RDUs and draws an average of 20 kW, low enough to be air cooled. For sovereign programs, that changes where AI can run. SambaRack is designed to integrate into existing air-cooled data center infrastructure with minimal modification, and it can run alongside GPUs already in the facility. A nation or enterprise can bring sovereign inference online in domestic data centers it already operates, inside current power and cooling envelopes, rather than waiting on a new facility.
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.
FAQs
A sovereign AI solution is one that is fully contained within an entity, such as a company or country, giving it infrastructure, models, and data that stay under its own control while meeting its security and privacy requirements.
Once a model is fine-tuned on private or national data, that data lives inside the model's weights. If the model or the rights to it sit outside the organization's jurisdiction, the underlying data can no longer be considered sovereign.
Yes. SambaRack SN50 is air-cooled, averages 20 kW per rack, and is designed to integrate into existing air-cooled data centers with minimal modification, alongside GPUs already in place. It deploys on-premises, as a dedicated cloud instance, or as a fully managed SambaManaged deployment.
SambaRack SN50 scales to support models up to 10 trillion parameters and context windows up to 10 million tokens, running on SambaNova's RDU.
Governments, enterprises, neoclouds, and frontier AI labs that need to keep infrastructure, models, and data under their own control.