🔍Accelerated computing is the foundation of the next generation of artificial intelligence.
🌍AI is democratizing high-performance computing and putting it in the hands of researchers worldwide.
💡Building AI infrastructure is crucial for mobilizing the production of intelligence in every country.
💰The cost of building and purchasing supercomputers for AI research has become negligible.
🌐Creating large language models is essential for codifying and preserving national intelligence.
What is accelerated computing?
—Accelerated computing is a specialized form of computing that uses GPUs for computation and is essential for high-performance AI applications.
How is AI democratizing high-performance computing?
—AI, particularly gaming GPUs, has enabled researchers worldwide to access high-performance computing and drive advancements in AI research.
Why is building AI infrastructure important?
—AI infrastructure is essential for activating researchers, companies, and governments to create their own AI models and take advantage of AI technology.
What has made supercomputers more affordable?
—Advancements in computing technology have made supercomputers more powerful, energy-efficient, and cost-effective.
What is the role of large language models in AI?
—Large language models codify and preserve national intelligence by capturing the data, culture, and history of a country's language.
00:00Jensen Huang discusses the transformative potential of artificial intelligence.
03:43Accelerated computing is the foundation of the next generation of AI.
06:12AI is democratizing high-performance computing for researchers worldwide.
08:38Building AI infrastructure is crucial for mobilizing the production of intelligence.
10:15The cost of building and purchasing supercomputers for AI research has become negligible.
12:19Creating large language models is essential for codifying and preserving national intelligence.
