Secure, flexible, fast AI inference for every nation
Designed for sovereign AI environments
Government agencies must harness the power of AI to drive economic growth, protect public health, and expand services to their citizens. Unsurpassed data privacy and security sets the SambaNova platform apart and ensures extraordinary performance to power vital AI capabilities.
Trusted by top labs around the world
SambaNova hardware is deployed across the largest and most trusted national laboratories to support scientists and engineers with AI inference on multiple models to conduct bleeding edge research.
You can’t do modern science without significant access to powerful AI systems and we think that is just going to accelerate.
— Rick Stevens, Associate Laboratory Director & Argonnes National Laboratory
AI opportunities for government and the public sector
To enhance their generative AI development capabilities in APAC, SoftBank Corp. added racks equipped with SambaNova’s efficient AI chips to their new AI data center in Japan.
SambaCloud™ provides access to the best Japanese open-source model, Swallow, developed by Institute of Science Tokyo, as well as Meta’s Llama and Alibaba’s Qwen. APAC developers can now control, create and deploy AI technologies regionally.
SambaNova customers share their results
Support for a range of models, including DeepSeek, Llama, and Qwen. Each has its own capabilities, such as text, image, or audio processing, to support your AI applications.
Power efficiency and the ability to host many models simultaneously and quickly switch between models is key for the future of scientific research that requires fast inferencing work.
The right integrations make it easy to accelerate your AI initiatives. Get started developing with leading solutions such as CrewAI, Hugging Face, Cline, and AWS.
NAIRR pilot program
Established to democratize state-of-the-art AI technology, the NAIRR Pilot program connects the private sector, government agencies, and academia to create a national AI infrastructure to develop AI technologies in a safe and transparent manner.
SambaNova is SOC 2 Type 2 certified and an ISO/IEC 27001:2022 certified provider.
FAQs
SambaNova provides government agencies with secure, high-performance AI inference infrastructure designed for sovereign environments. Its platform powers AI capabilities across national laboratories, public health agencies, and government data centers, enabling organizations to run the largest open-source models without exposing sensitive data to external networks or third-party providers.
SambaNova is both SOC 2 Type 2 certified and ISO/IEC 27001:2022 certified. These certifications validate that the platform meets rigorous international standards for information security management and operational controls, which are two of the most widely required compliance frameworks for government and regulated public sector procurement.
Yes. SambaNova is purpose-built for sovereign AI environments. The platform can be deployed entirely within a nation's own infrastructure, keeping data, models, and workloads on-shore and under full government control. It is already trusted by sovereign AI providers across Australia, Europe, and the UK, and by SoftBank Corp. for a national AI data center in Japan serving the APAC region.
Government deployments on SambaNova can access a range of open-source models including Meta's Llama, DeepSeek, Alibaba's Qwen, and regionally developed models such as Swallow for Japanese-language applications. These models support text, image, and audio modalities, covering a wide spectrum of public sector AI use cases from document analysis to voice-enabled citizen services.
SambaNova is designed so that all data stays within the deploying organization's own infrastructure. There is no data collection, no prompt logging, and no third-party data sharing. For agencies with the highest security requirements, the platform supports air-gapped deployments, fully isolated from public internet access, making it viable for classified or highly sensitive government workloads.