এই এপিসোড সম্বন্ধে
Recorded live at Sequoia’s Europe100 event: Michael Kagan, co-founder of Mellanox and CTO of Nvidia, explains how the $7 billion Mellanox acquisition helped transform Nvidia from a chip company into the architect of AI infrastructure. Kagan breaks down the technical challenges of scaling from single GPUs to 100K and eventually million-GPU data centers. He reveals why network performance—not just compute power—determines AI system efficiency. He discusses the shift from training to inference workloads, and his vision for AI as humanity's "spaceship of the mind," and why he thinks AI may help us discover laws of physics we haven’t yet imagined.
Hosted by Sonya Huang and Pat Grady
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অতীতের এপিসোডগুলি অনুসন্ধান করুন
Training Data এর অতীতের এপিসোডগুলি অনুসন্ধান করুন।
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দাবি পরিত্যাগ: এই পৃষ্ঠায় এম্বেড করা পডকাস্ট এবং আর্টওয়ার্ক Sequoia Capital থেকে এসেছে, যা এর মালিকের সম্পত্তি এবং Listen Notes, Inc দ্বারা অনুমোদিত বা অনুমোদিত নয়৷
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