Beneath the race to train and release more powerful AI models lies another race: a race by companies and nation-states to secure the hardware to make sure they win AI supremacy. Correction: The latest available Nvidia chip is the Hopper H100 GPU, which has 80 billion transistors. Since the first commercially available chip had four transistors, the Hopper actually has 20 billion times that number. Nvidia recently announced the Blackwell, which boasts 208 billion transistors - but it won’t ship until later this year.RECOMMENDED MEDIA Chip War: The Fight For the World’s Most Critical Technology by Chris MillerTo make sense of the current state of politics, economics, and technology, we must first understand the vital role played by chipsGordon Moore Biography & FactsGordon Moore, the Intel co-founder behind Moore's Law, passed away in March of 2023AI’s most popular chipmaker Nvidia is trying to use AI to design chips fasterNvidia's GPUs are in high demand - and the company is using AI to accelerate chip productionRECOMMENDED YUA EPISODESFuture-proofing Democracy In the Age of AI with Audrey TangHow Will AI Affect the 2024 Elections? with Renee DiResta and Carl MillerThe AI ‘Race’: China vs. the US with Jeffrey Ding and Karen HaoProtecting Our Freedom of Thought with Nita FarahanyYour Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_