NVIDIA is a leading technology company that designs and sells graphics processing units (GPUs) and related hardware and software. Its work spans gaming, professional visualization, data centers, AI, and automotive markets. Key aspects of what NVIDIA does

• GPU hardware: Develops GeForce consumer GPUs for gaming and creative workloads, as well as professional GPUs (e.g., for workstations and research) that handle demanding graphics and compute tasks.
• AI and data center computing: Produces accelerators and platforms (GPUs and specialized systems) that power artificial intelligence training and inference, high-performance computing, and large-scale data centers.
• Software and tooling: Maintains software ecosystems like CUDA, a parallel computing platform and API that enables GPUs to run general-purpose compute tasks, along with libraries and AI software tooling to support developers.
• System-on-chip and mobile components: Provides Tegra chips for mobile and automotive applications, integrating processing, graphics, and media capabilities.
• Networking and advanced interconnects: Offers high-bandwidth networking solutions and accelerators (e.g., Mellanox technologies) to improve data center performance and AI workloads.
• Automotive and robotics: Develops platforms for autonomous driving, simulation, and robotics applications, integrating sensors, inference engines, and software stacks.
• Cloud gaming and streaming: Runs cloud gaming services and services that deliver gaming content and AI-powered applications over the internet.

If you’d like, I can tailor this overview to a specific angle (e.g., how NVIDIA monetizes its AI hardware, or a quick corporate roadmap) and provide up-to-date figures or product examples.