NVIDIA Watch posted an update
Nvidia’s decades-old bet on making its graphics chips useful for general computing helped put them at the centre of today’s AI industry. As the company enters a leadership transition, the history explains why its influence rests on software and developer experience as well as hardware.
Why it mattersWhat happened In a New Scientist explainer, columnist Jacob Aron traces Nvidia’s move from gaming graphics to AI computing. The account describes how researchers adapted graphics processing units for other calculations, then Nvidia formalised that approach with CUDA in 2007. The article links that groundwork to later milestones: AlexNet’s 2012 image-recognition results helped renew interest in deep learning, and Nvidia released its DGX-1 deep-learning system in 2016, delivering the first unit to OpenAI. Nvidia CEO Jensen Huang has now resigned, with CFO Colette Kress named interim CEO, the article says. Why it matters
Discuss: What is harder for a rival to match: Nvidia’s chips, or the software ecosystem built around them?
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