AI supercomputers are a new national priority


Nvidia CEO Jensen Huang expects demand for the company’s products to increase as countries around the world invest in building their own AI infrastructure.

Countries such as India, Japan, France, and Canada have recognized the importance of investing in their own AI capabilities and are building AI infrastructures to better integrate AI into their government processes, strengthen national sovereignty, and foster startups. National data resources, which are often not public, also play an important role and could enable the training or fine-tuning of new AI models to take on certain tasks that current models are not suited for.

In an interview with Bloomberg Television, Jensen Huang, CEO of Nvidia, commented on this development. “Their natural resource – data – should be refined and produced for their country. The recognition of sovereign AI capabilities is global,” Huang said.

After the USA and China, Nvidia wants to open up other industrialized countries as markets

Nvidia’s focus on HPC and AI infrastructure has led to a massive increase in revenue in recent years, and the company’s AI chips have long been unmatched. The company now also offers cloud services for AI training with pre-built models and datasets, and is working with numerous companies to build an AI ecosystem. In addition to generative AI for text and images, the company is also focusing on automotive, robotics, and medical and biotech applications.



Nvidia also provides the hardware for many supercomputers, including the European JUPITER supercomputer. Wells Fargo Equity Research estimates that Nvidia currently has a 98% share of the datacenter GPU market, which is expected to decline to 94-96% by 2024. A summary of the report was recently shared on X by a Microsoft employee.

With growing interest from individual nations to build their own AI hubs, Huang now sees new customers.

“The vast majority of the computing market has been in the US, and to a much smaller degree, China,” Nvidias CEO said. “For the very first time, because of generative AI computer technology, it’s going to impact literally every single country. So some of the markets will be quite large and global.”

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