NVIDIA Corporation is an American corporation registered in Delaware in 1993, with its headquarters in Santa Clara, California. It was founded by Jensen Huang, Chris Malachowsky, and Curtis Priem. Initially known as a giant in the gaming graphics accelerator (GPU) market, in the mid-2000s, NVIDIA made a strategically crucial move by creating the CUDA platform. This decision transformed graphics cards into versatile tools for parallel computing, which essentially enabled the modern deep learning revolution. By 2025, NVIDIA controls over 80% of the GPU market for training and deploying artificial intelligence models.
The company does not limit its research to GPU and CUDA development but actively advances technologies for LLM training and inference. For instance, in the Nemotron-H hybrid architecture, engineers solved the problem of quadratic complexity growth in traditional transformers by replacing most Self-Attention layers with Mamba-2 (State Space Models) layers. Unlike a transformer, which predicts the next word based on the entire history, a Mamba layer has a constant per-token generation cost and a fixed state size, adding dynamics to the network—a kind of recurrent memory that updates with each new token, similar to how a person keeps the essence of a conversation in mind rather than the entire text verbatim. NVIDIA is advancing the field of training efficiency and actively uses Production-Ready FP8 Training, which enables training models entirely in 8-bit format without quality loss, cutting memory requirements in half. Special attention is deserved by the MiniPuzzle (Pruning + Distillation) technology, a method of extreme "pruning" of the least important weights followed by fine-tuning, which reduces model size and speeds up its operation by 20% while maintaining accuracy. Another example is the Budgeted Reasoning concept (implemented in the Nemotron Nano models), or "controlled thinking": the model learns to vary the depth of its reasoning, using shortened chains of thought to adapt to limited resources and produce answers faster when the allocated "budget" for deliberation is exhausted.
NVIDIA occupies a unique position in the open AI ecosystem. On the Hugging Face platform, the company has presented **more than 600 models and 150+ open datasets**. Thus, NVIDIA today is not just a "hardware" manufacturer but a company that sets the standards for innovation in the LLM industry across all key areas: from chips and data formats to neural network architectures and deployment environments.