Chips Are the Future of AI. They’re Also Incredibly Vulnerable. With Chris Miller
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.
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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.
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