Countries are building domestic AI factories and infrastructure to develop sovereign AI capabilities, with NVIDIA highli

Nations have long invested in domestic infrastructure to advance their economies, protect and use their data, and capitalize on technology opportunities in transportation, communications, commerce, entertainment and healthcare.

AI, described as the most important technology of our time, is accelerating innovation across society. Countries are investing in AI capabilities to design, train and deploy models and applications using domestic infrastructure, local datasets and homegrown expertise. This ensures AI solutions are tailored to local citizens, services and regulations.

The urgency has intensified with generative and agentic AI, which is reshaping markets, creating new industries and transforming existing ones from gaming to healthcare. Many professions now use AI-powered copilots.

These efforts span both physical and data infrastructure. Countries are developing foundation models such as large language models, built by local teams and trained on local datasets. This approach helps reflect regional dialects, cultural context and specific domains in model outputs. Speech AI models, for instance, can help preserve, promote and revitalize indigenous languages.

Large language models extend beyond human language to writing software code, aiding drug discovery, protecting consumers from financial fraud, teaching robots physical skills and much more. As AI and accelerated computing become critical for addressing climate change, boosting energy efficiency and defending against cybersecurity threats, national AI capabilities strengthen each country's resilience and sustainability.

A new class of essential infrastructure has emerged: AI factories, where data comes in and intelligence comes out. These next-generation data centers host advanced, full-stack accelerated computing platforms for computationally intensive tasks. Jensen Huang, NVIDIA founder and CEO, stated in a media Q&A, "The AI factory will become the bedrock of modern economies across the world."

Countries are building domestic computing capacity through various models, including collaboration with state-owned telecommunications providers, utilities and local cloud partners offering shared platforms for public-private use.

Since 2019, NVIDIA's AI Nations initiative has helped countries in every region build AI ecosystems and workforce. In Europe, AI agents from ThinkDeep running on NVIDIA's platform help France's Ministry of Economy and Finance automate complex public-service workflows, cutting document search times from two days to two minutes and saving 2 million euros for 10,000 employees. In Asia, India's Sarvam platform, powered by NVIDIA GPUs and built on domestic infrastructure, delivers multilingual AI models and voice agents optimized for the country's 22 official languages, enabling government and enterprise services to reach hundreds of millions while maintaining national control over data, compute and governance. In Latin America, Widelabs solutions running on NVIDIA-accelerated infrastructure help Brazil's Public Ministry of Rio Grande do Sul modernize legal services, streamlining investigations and making justice records more accessible for over 8 million citizens across nearly 500 municipalities.