NVIDIA's core insight was that the ideal computer performs both sequential and parallel processing. This led to the development of GPUs, which initially revolutionized video games by efficiently handling 3D graphics through parallel processing.
The creation of CUDA made NVIDIA GPUs accessible for general-purpose parallel computing, enabling breakthroughs like AlexNet in 2012. This demonstrated the scalability of deep learning and prompted NVIDIA to re-engineer its entire computing stack for AI.
NVIDIA is making significant investments in physical AI, predicting that 'everything that moves will be robotic soon.' This future relies on training robots in realistic digital worlds using platforms like Omniverse and Cosmos, which provide physical common sense and ground truth.
NVIDIA is applying AI to digital biology, climate science, and various other fields, aiming to understand complex systems and predict futures. Jensen Huang believes AI will empower individuals, making them 'superhuman' by reducing barriers to knowledge and automating drudgery.
Jensen Huang emphasizes NVIDIA's sustained commitment to core beliefs in accelerated computing and scalable deep learning, investing tens of billions of dollars over decades. This long-term vision drives continuous innovation and the development of flexible architectures for future discoveries.
Keep pulling the thread on Jensen Huang.