GeForce RTX GPUs power best-in-class AI PCs for advanced AI in gaming, content creation and more. Get a sneak peek ahead of @ifa_berlin kicking off in this week's #AIDecoded blog.
AI HARDWARE
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European mining ensures responsible AI progress and environmental sustainability
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Sans commune mesure avec ce qu'il est au Chili, en Chine, ou en RDC. Des mines européennes responsables, c'est l'assurance d'un progrès technologique humain et respectueux de l'environnement.
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Planet covered with solar panels and AI datacenters
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Planet covered with solar panels and AI datacenters
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Axelera AI Metis Platform Presentation at AI Systems Summit
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Just 6 days to go until the @aiandsystems Summit! Join our Head of Product, Manuel Botija, on a presentation on Sept 10 @ 1 PM at the Demo Stage. He’ll dive deep into the Axelera AI Metis platform—covering performance, efficiency, and our robust SDK for edge AI applications.
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Two-step DLP process for mask fabrication from 800nm to 200nm
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Two step process maybe — DLP to 800nm mask, then use that mask to make a 200nm mask?
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Sam Altman Plans Tens of Billions AI Infrastructure Investment
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The latest on Sam Altman’s plans to rally global investors around AI infrastructure include spending tens of billions (yes, with a B) in the US. Check out this one from @shiringhaffary and @mackhawk
: https://
bloomberg.com/news/articles/
2024-09-03/altman-infrastructure-plan-aims-to-spend-tens-of-billions-in-us?utm_source=website&utm_medium=share&utm_campaign=twitter
… via @technology -
PhD Defense: Hardware-Efficient Training Pioneer Achievement
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Congratulations @jiawzhao on an excellent PhD defense! Jiawei has been a pioneer in hardware-efficient training. When he started his PhD, everyone was focusing on inference efficiency, and training runs were small, Jiawei took the bold step to pursue training efficiency. Slides:
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Wall Street’s Chip Stock Selloff: Nvidia, Amphenol, Intel Analysis
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Wall Street’s Best Ideas: No one knows why the chips are down No particular reason for mass-selling of chip stocks, but suggestions about a detail of Nvidia’s Blackwell chip are offered, as Amphenol takes it on the chin, and rumors continue to swirl about Intel, this time about
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Training 124M Parameter LLMs on MacBook M3 in Real-Time
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It is remarkable that anyone can now train a 124M parameter LLM in about real-time on a MacBook M3. So easy to experiment. This would have been the stuff of dreams when I was in school. I training neural nets, but I really admire the people who build the hardware.
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Older Chip Fabs Economics and Potential Applications
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Sometimes I consider the question of what could benefit if older generation chip fabs somehow get dramatically cheaper. It is hard to make a case for any logic or memory use on several generations old process even if it was free, due to power and capabilities. One possible use