Countries are recognizing AI as critical national infrastructure and building domestic AI capabilities through AI factor

Nations have long invested in domestic infrastructure to advance their economies, protect and use their data, and take advantage of technology opportunities in transportation, communications, commerce, entertainment and healthcare. AI, the most important technology of our time, is turbocharging innovation across every facet of society. Countries are investing in AI capabilities so they can design, train and deploy models and applications using domestic infrastructure, local datasets and homegrown expertise. This approach ensures AI solutions are tailored to local citizens, services and regulations.

The urgency for countries to build and deploy AI capabilities has grown with the rise of generative and agentic AI, which is reshaping markets, inspiring new industries and transforming existing ones from gaming to healthcare. It is changing how people work, as many professions now use AI-powered copilots. These efforts span physical infrastructure and data infrastructure. On the data side, countries are developing foundation models such as large language models built by local teams and trained on local datasets, helping reflect regional dialects, cultural context and specific domains in the models' outputs. For example, speech AI models can help preserve, promote and revitalize indigenous languages.

Large language models can understand and generate human language, write software code, aid in drug discovery, help protect consumers from financial fraud and teach robots physical skills. As AI and accelerated computing become increasingly important for tackling climate change, boosting energy efficiency and defending against cybersecurity threats, national AI capabilities play a critical role in enabling every country to strengthen its resilience and sustainability.

A new class of essential infrastructure for AI production has emerged: AI factories, where data comes in and intelligence comes out. These are next-generation data centers hosting advanced, full-stack accelerated computing platforms for the most computationally intensive tasks. Countries are building domestic computing capacity through various models, some procuring and operating AI clouds in collaboration with state-owned telecommunications providers or utilities, while others sponsor local cloud partners to provide shared AI computing platforms for public-private use. NVIDIA founder and CEO Jensen Huang said in a media Q&A that "The AI factory will become the bedrock of modern economies across the world."

Since 2019, NVIDIA's AI Nations initiative has helped countries in every region build out their AI ecosystems and workforce. In Europe, AI agents from ThinkDeep built on the NVIDIA AI platform are helping France's Ministry of Economy and Finance automate complex public-service workflows by processing millions of documents and data sources, 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 entirely on domestic infrastructure is delivering multilingual AI models and voice agents optimized for the country's 22 official languages, enabling government and enterprise services to reach hundreds of millions of people in their own languages while keeping data, compute and governance under national control. In Latin America, AI solutions from Widelabs running on NVIDIA-accelerated infrastructure are helping modernize and expand access to legal services for the Public Ministry of Rio Grande do Sul in Brazil, streamlining internal investigations and making justice records easier to find and use for more than 8 million citizens across nearly 500 municipalities.