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The Future of AI: Accelerated Computing, Software 2.0, and Physical AI

The End of Moore's Law and the Rise of Accelerated Computing

Jensen Huang, the CEO and founder of Nvidia, presented a compelling vision for the future of AI at the AI Summit in India. He began by reflecting on the history of computing, noting that the rapid advancements in processing power driven by Moore's Law are now reaching their limits. As the scaling of CPUs has slowed, a new paradigm is emerging: accelerated computing.

Huang explained that Nvidia's vision was to accelerate specific applications by offloading computationally intensive workloads to specialized processors, such as GPUs. This approach, enabled by Nvidia's Cuda programming model, has democratized technologies like real-time computer graphics, which were previously impractical on general-purpose CPUs.

The Shift from Software 1.0 to Software 2.0

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