The Birth of Accelerated Computing

When we founded NVIDIA in 1993, we had a simple vision: to make computer graphics so realistic that virtual worlds would be indistinguishable from reality. We couldn't have imagined that our graphics processing units would become the foundation for the AI revolution.

The parallel processing architecture that made GPUs perfect for rendering pixels turned out to be ideal for training neural networks. This happy accident has positioned NVIDIA at the center of the AI transformation that's reshaping every industry.

The Omniverse of AI Applications

Today, AI is transforming drug discovery, autonomous vehicles, climate modeling, and robotics. Our GPUs are training models that can write code, create art, and even help solve complex scientific problems. The compute infrastructure we've built is enabling researchers to push the boundaries of what's possible.

The next frontier is building AI systems that can understand and interact with the physical world. This requires not just powerful computing, but also sophisticated simulation environments where AI can learn safely before being deployed in the real world.