Nvidia chips are advanced microprocessors, particularly GPUs (Graphics Processing Units), designed for parallel processing, making them ideal for demanding tasks like AI and machine learning. Nvidia Corporation, founded in 1993, is the manufacturer. Originally focused on gaming graphics, Nvidia has expanded into AI, data science, high-performance computing, and automotive applications.
Key features of Nvidia chips include their parallel processing capabilities, Tensor Cores for accelerating matrix multiplications, and high memory bandwidth to handle large datasets efficiently. Nvidia's AI chips also feature NVLink, a high-speed interconnect technology allowing multiple GPUs to communicate rapidly. The company's latest innovations include the Blackwell architecture, which offers improved energy efficiency and performance for large AI models. As of early 2026, Nvidia's CEO has stated that they are sold out of their chips until 2026.
The price range for Nvidia chips varies widely. High-end GPUs like the RTX 5090 could reach prices as high as $5,000 due to memory chip shortages and high demand from the AI industry. Lower-end options, such as the ARC B570, may be available for around $199. A global memory chip shortage, exacerbated by the AI boom, is affecting the availability and pricing of Nvidia GPUs. Due to prioritizing AI server demand, Nvidia is reducing the production of its GeForce RTX 50 series.