Nvidia (NVDA) is a publicly traded AI Accelerators company founded in 1993 and based in Santa Clara, United States.
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Nvidia's flagship data-center AI GPU architecture, the B200 packs 208 billion transistors across two reticle-limited dies fused into one chip via a 10 TB/s NV-HBI link. The GB200 Grace Blackwell Superchip pairs two B200 GPUs with a Grace CPU. Sold as the GB200 NVL72 rack-scale system connecting 72 GPUs over fifth-gen NVLink into a single coherent compute domain, it targets trillion-parameter LLM training and real-time inference for hyperscalers and AI labs.
The Hopper-architecture H100, and its higher-memory H200 successor, became the de facto standard for frontier model training and inference. The H100 offers fourth-generation Tensor Cores, a Transformer Engine with FP8 precision, and 3 TB/s HBM3 bandwidth; the H200 adds 141 GB of faster HBM3e. Connected via NVLink and deployed in DGX/HGX systems, these GPUs powered the bulk of large-language-model compute through 2023-2024.
Nvidia's parallel-computing platform and programming model, CUDA is the software moat underpinning its hardware dominance. It exposes GPU parallelism to developers through C/C++/Python and a vast library ecosystem (cuDNN, cuBLAS, TensorRT, NCCL) that virtually every AI framework targets. The accumulated software lock-in, more than raw silicon, is widely cited as Nvidia's most durable competitive advantage in AI compute.