Sovereign AI Inference

Sovereign AI is not just a storage question. It is a question of who owns the infrastructure, who controls model access, where inference actually runs, and whether AI services answer to your laws or someone else's.

Sovereign AI inference gives nations, governments, and enterprises the power to run advanced AI on their own terms: fast tokens on the largest models, delivered locally, under local control.

How Sovereign AI Works ⟶

SambaNova helps you build national AI infrastructure that keeps data, models, and decisions within your borders.

True sovereignty rests on four pillars:

Infrastructure ownership
You own the hardware serving your AI, not a foreign hyperscaler.
Model control
You decide which models run, how they're accessed, and who can use them.
Inference locality
Every token is generated inside your borders, never routed offshore.
Legal and national alignment
Your AI services comply with local governance and support national economic goals.

What sovereign AI inference
really means

Sovereign AI is not just where data sits. It’s who owns the infrastructure, who controls model access, where inference runs, and how AI services align with local laws, values, security needs, and economic priorities.

SambaNova enables sovereign operators to deliver fast AI services locally, so governments and enterprises can adopt frontier AI without handing control to infrastructure they don’t own.

More on SambaStack ⟶

Performance without
compromise for agentic AI

Sovereign AI still has to feel fast. Citizens, developers, enterprises, and public sector teams expect responsive experiences on large, capable models.

Agentic AI raises the stakes. A chatbot sends one request and stops. An agent plans, calls tools, reads results, generates, checks its work and loops. Every millisecond of decode latency is multiplied across that loop. Slow tokens do not delay one reply; they delay the entire public service or product built on top.

More on Disaggregated Inference ⟶

Delivering fast tokens is a data-movement problem. SambaNova's Dataflow Architecture maps the model graph to an efficient path across the processor instead of making repeated trips to off-chip memory. Less memory movement means lower latency and less power for the same work.

SambaNova delivers fast tokens with the best throughput inference for premium agent workloads.

SambaNova - Sovereign AI Page - Image 07

Serve the models your
nation actually needs

The most capable models are now trillions of parameters, and they are the ones citizens and enterprises want to use.

SambaRack SN50 scales to 256 networked accelerators, supporting models up to 10 trillion parameters and context lengths up to 10 million tokens.

Frontier open-weight models are optimized to run on RDUs, so you can offer what developers are asking for without a per-model engineering project each time. And because the weights are open, you can fine-tune on national language, legal and domain data, and keep the result.

Built to satisfy the auditors,
not just the architects

Sovereign AI programs are procured against frameworks that SambaNova is built to support.

GDPR
Inference inside your boundary, with no prompt logging and no third-party data sharing
EU AI Act
Transparency obligations under Article 50 in force since August 2, 2026; high-risk obligations phased to December 2027 and August 2028 under the Digital Omnibus
NIS2 and DORA
Supply-chain security, concentration risk and exit strategy addressed by infrastructure you own outright
National schemes
Deployments aligned to SecNumCloud (France), BSI C5 (Germany), IRAP (Australia), UK G-Cloud and Cyber Essentials Plus, and comparable regimes

More on Security and Compliance ⟶

Germany

Infercom

Sovereign European AI inference hosted in Germany. Built on SambaNova, Infercom gives startups, enterprises and the public sector a sovereign path to fast large-model inference while keeping data and models private, secure and aligned with European governance.

France

OVHcloud

OVHcloud selected SambaNova to power its AI Endpoints inferencing service for demanding workloads where every millisecond matters. They show how a trusted European provider delivers sovereign AI endpoints with fast response, efficient utilization, and provider-scale performance.

Scotland

Argyll Data Development

The UK's first large-scale sovereign AI inference service, powered entirely by renewable energy. Argyll gives UK enterprises and government agencies fast inference on leading open models while keeping data under UK control and aligning AI infrastructure with local energy strategy.

Australia

SCX

An onshore sovereign AI inference cloud for Australian enterprises, government, researchers and developers. SCX enables organizations to run advanced AI locally without compromising speed, data control or national compliance requirements.

Designed for the data center
you already have

Data center capacity is increasingly limited by power, and much of the existing global footprint is air-cooled. Leveraging that infrastructure matters, because sovereign AI programs cannot wait for every region to build new liquid-cooled hyperscale facilities.

SambaNova's Dataflow Architecture minimizes memory movement on the RDU chip. That energy-saving design allows SambaRack systems to operate within nearly all air-cooled data centers without requiring a liquid-cooling retrofit, a new build, or a grid upgrade.

SambaRack systems are the only trillion-parameter-class inference platform that operates within standard air-cooled power envelopes at roughly 20 kW per rack.

It is one of the main reasons sovereign AI inference providers choose SambaNova: The fastest path to national capacity is usually the facility you already own.

Solving the AI Data Center Power Crisis ⟶

FAQs

Sovereign AI inference is the local serving of large AI models on infrastructure a nation or organization owns and controls. It covers who owns the hardware, who controls model access, where inference runs, and how services align with local laws. It matters most when data privacy, national security, and economic independence are non-negotiable.

Training happens occasionally, on curated data, under supervision. Inference happens continuously, on live citizen and enterprise data including every query, record and document a national AI service touches. That makes inference the layer where data leaves your control continuously, which is where sovereignty is actually won or lost.

Less than most programs assume. SambaRack operates at roughly 10 kW per rack within standard air-cooled power envelopes, while GPU inference racks can draw up to 120 kW and require liquid cooling. That difference is what allows sovereign capacity to be deployed in existing facilities rather than new builds.

SambaRack SN50 scales to 256 networked accelerators, supporting models up to 10 trillion parameters and context lengths up to 10 million tokens. Frontier open-source models are optimized to run on RDUs, so you can offer the models developers ask for without a per-model engineering project each time.

Yes. SambaNova supports air-gapped and fully disconnected deployment for classified, defense and other workloads that cannot touch a public network. The platform does not require external connectivity to serve inference.

You do. Once a model is fine-tuned on private or national data, that data is in the weights. Model ownership is a precondition of sovereignty rather than a feature of it. Models built and tuned on a SambaNova deployment are yours, on infrastructure you control.

Run sovereign AI on
infrastructure you own
and control

Sovereignty is being decided at the inference level now

67 governments committed $83.9B

20 kW per air-cooled SambaRack

Faster performance on decode

What sovereign AI inference
really means

Performance without
compromise for agentic AI

Serve the models your
nation actually needs

You own the model and
the data

Built to satisfy the auditors,
not just the architects