What NVIDIA does
NVIDIA Corporation is a U.S.-headquartered accelerated computing and AI infrastructure company whose core business is building GPU-based hardware plus a broad software stack used to train and run AI workloads. Its platform strategy centers on pairing new GPU architectures and system designs (including data-center superchips and rack-scale systems) with networking, orchestration, and inference software—so customers can build “AI factories” spanning training, inference, and increasingly physical AI simulation and robotics workloads.
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NVIDIA’s major product lines include: - Data-center GPUs and supercomputing systems used by hyperscale cloud providers, enterprises, and governments for model training and inference. - Networking and interconnect technologies that scale GPU clusters. - Enterprise AI software used to deploy production AI, including components such as NVIDIA AI Enterprise, NVIDIA NIM inference microservices, and core inference runtimes such as NVIDIA TensorRT and NVIDIA Triton Inference Server. - End-to-end enterprise and platform systems designed to simplify AI development and deployment, including the NVIDIA DGX platform (with DGX SuperPOD) and cloud offerings such as DGX Cloud. - Omniverse, a simulation and digital-twin platform used for design collaboration and simulation workflows, including enterprise deployments. Business model: NVIDIA sells hardware (GPUs, systems, and networking) and monetizes its software stack via enterprise subscriptions/support and through integration into partner ecosystems. In parallel, NVIDIA provides inference- and developer-oriented software distribution mechanisms (for example, containerized inference microservices) and works closely with cloud service providers to deploy NVIDIA-accelerated infrastructure at scale. Strategic position: As of 2026, NVIDIA’s platform differentiation is driven by the combination of (1) rapidly evolving GPU architectures and system designs, (2) production-oriented software for inference and deployment, and (3) deep partnerships with cloud providers. Recent official announcements include an expanded AWS collaboration to deploy additional GPUs and deliver next-generation infrastructure for agentic and physical AI workloads.