Gerui Wang is a lecturer at Stanford University. She writes and teaches on the impact of AI and emerging technologies on society, culture, and media.
The race to build powerful AI data center s is accelerating, with tech giants vying to be key players in AI’s future. Microsoft and OpenAI, for instance, are reportedly planning a $100 billion investment incenter in Memphis, Tennessee. Already outfitted with 100,000 Nvidia Hopper GPU s, the facility is doubling its capacity to 200,000 GPU s. Leveraging Nvidia ’s Spectrum-X Ethernet networking, it’s aiming to become a cornerstone of AI research and applications.
Public investment in supercomputing is necessary to ensure that access to computational power doesn’t become overly commoditized, exacerbating inequities in research, education, and innovation.and public institutions played an important role in building infrastructure such as railways, highways, waterways, and electricity grids, which supported economic growth and more equitable access to resources.
Governments must step in to establish publicly funded or subsidized supercomputing facilities. Such efforts could democratize AI access, enabling small businesses, academic researchers, and public institutions to participate in AI development.Turing’s vision of “learning machines” has come to life in neural networks and AI models that refine their performance with reinforced learning and more training data.
Turing’s work reminds us that computation isn’t just about machines—it’s about systems and the societal frameworks that support them. Supercomputing is too important to be left solely to private entities. The commoditization of these resources risks creating barriers to entry for small innovators, public institutions, and educational initiatives.
Xai Supercomputing Nvidia GPU Colossus Openai Microsoft Infrastrucutre Data Center
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