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Jensen Huang, CEO of NVIDIA, has been a pivotal force in reshaping computing by pioneering GPUs that enable parallel processing, unlocking vast new possibilities in gaming, AI, robotics, and more. His vision is driving a fundamental shift in technology.

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NVIDIA's breakthrough began in the 1990s with the creation of the modern GPU, designed to handle parallel tasks that CPUs couldn't efficiently process. This innovation was initially aimed at enhancing 3D graphics in video games, a massive and demanding market.

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The GPU acts like a 'time machine,' accelerating complex computations so scientists can achieve in years what once took a lifetime. For example, quantum chemistry simulations run faster on GPUs than traditional supercomputers, revolutionizing research.

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CUDA, NVIDIA's platform launched to simplify programming GPUs, allowed developers to harness this parallel power beyond graphics. It enabled diverse applications from medical imaging to AI, democratizing access to high-performance computing.

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In 2012, AlexNet, a neural network trained on NVIDIA GPUs, dramatically advanced computer vision, marking a seismic shift in AI. This success validated the potential of deep learning and parallel processing, prompting NVIDIA to reinvent the entire computing stack.

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Jensen's core belief is in scalable, accelerated computing and the limitless potential of deep learning architectures. He foresees continuous innovation beyond current AI models like transformers, supporting a flexible architecture that fosters invention and discovery.

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NVIDIA's vision extends to physical AI—robots trained in digital worlds using Omniverse and Cosmos platforms. These simulate countless scenarios safely and efficiently, accelerating robot learning and bringing us closer to a future where everything that moves is robotic.

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The future of AI involves creating world models that understand physics and cause-effect relationships, enabling robots to develop 'common sense.' This approach parallels how language models like ChatGPT understand text, but applied to the physical world.

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Challenges such as AI safety, bias, hallucination, and impersonation require rigorous engineering and community collaboration. NVIDIA is committed to building robust, secure AI systems with multiple layers of safety to protect users and society.

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NVIDIA continues to push technological boundaries, improving energy efficiency and computing power exponentially. From $250,000 AI supercomputers in 2016 to affordable $3,000 versions today, AI is becoming accessible to engineers, students, and researchers worldwide.

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Looking ahead, NVIDIA bets on the fusion of Omniverse and Cosmos for generative world-building, advances in human robotics, digital biology, and climate science. These investments aim to create tools that predict and shape the best possible futures.

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Jensen emphasizes that AI will empower humans, making us 'superhuman' by handling routine tasks and freeing us to focus on creativity and complex problem-solving. He encourages everyone to embrace AI as a personal tutor and assistant to enhance learning and productivity.

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Jensen Huang hopes history will remember NVIDIA for its extraordinary impact on technology and society, driven by steadfast core beliefs and a commitment to innovation that empowers millions globally.

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Ultimately, NVIDIA aims to make its technologies widely available to all—large companies, small researchers, and individuals alike—transforming industries from gaming to life sciences and robotics, and profoundly impacting how we live and work.
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