NVIDIA GeForce RTX 4090 escapes U.S. export ban, unlocking new horizons


October 25, 2023 by our News Team

The U.S. Department of Commerce has lifted export restrictions on NVIDIA's RTX 4090 graphics card, allowing it to be shipped to countries including China, and other models like the A100, H100, and their special variants (A800/H800) have also been excluded from the filing.

  • U.S. Department of Commerce's Bureau of Industry and Security has lifted licensing restrictions on NVIDIA's high-end processing units, including the L40 and RTX 4090.
  • NVIDIA can now ship its powerful gaming GPU to various countries, including China.
  • Export controls on other models like the A100, H100, and their special variants (A800/H800) have also been lifted.


nVidia’s RTX 4090 graphics card is no longer subject to export restrictions in the United States, bringing relief to gamers in China. The U.S. Department of Commerce’s Bureau of Industry and Security had imposed licensing restrictions on NVIDIA’s high-end processing units, including the L40 and RTX 4090, but these models are now excluded from the latest filing. This means that NVIDIA can continue to ship its powerful gaming GPU to various countries, including China.

Furthermore, NVIDIA has received notice that export controls on other models like the A100, H100, and their special variants (A800/H800) have also been lifted, allowing them to be shipped immediately instead of waiting for a 30-day compliance period.

The RTX 4090 is equipped with the ADA AD102 architecture and features an impressive 16,384 CUDA cores. However, due to U.S. regulations, its total computing power is capped at 4,800 TOPS. Following the recent SEC filing, which imposed these constraints on the RTX 4090, its price in the Chinese market has surged dramatically. Some board partners have even removed these cards from their official stores, while scalpers have taken advantage of the situation by stockpiling RTX 4090 cards in anticipation of ongoing restrictions.

Source: NVIDIA, Benchlife

About Our Team

Our team comprises industry insiders with extensive experience in computers, semiconductors, games, and consumer electronics. With decades of collective experience, we’re committed to delivering timely, accurate, and engaging news content to our readers.

Background Information


About nVidia: NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

nVidia website  nVidia LinkedIn

Technology Explained


GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.





Leave a Reply