In the latest MLPerf inference model test, Moxin Artificial Intelligence's S30 computing card took the lead in the single card, 4 card and 8 card inference performance of the GPT-J model. This achievement not only demonstrates Moxin's leading position in the field of artificial intelligence hardware, but also highlights its innovative strength in sparse computing technology. Through the independently developed sparse computing technology, Mo Xin has achieved a computing power advantage of 1.8 times that of Nvidia H100 in the GPT-J model, and this breakthrough has set a new benchmark for the field of artificial intelligence hardware.
The successful application of sparse computing technology provides a key solution to solve the contradiction between the rapid growth of large-scale parameters and the demand for computing power. As the complexity of artificial intelligence models continues to increase, traditional computing architectures face severe challenges. The sparse computing technology of Moxin significantly improves computing efficiency by optimizing the allocation of computing resources, providing strong support for large-scale model training and inference.
Mo Xin's excellent performance in the MLPerf test is not only a strong proof of its technical strength, but also indicates that sparse computing technology will lead the big model computing power to achieve a revolutionary breakthrough. This technological breakthrough will bring faster inference speed and lower energy consumption costs to the application of artificial intelligence, and promote the widespread application of artificial intelligence technology in various fields.
As a new force in the field of artificial intelligence hardware, Moxin's achievements mark an important position among Chinese companies in the global competition for artificial intelligence technology. In the future, with the further development and optimization of sparse computing technology, Moxin is expected to show its technological advantages in more large-scale application scenarios and inject new impetus into the development of the artificial intelligence industry.
The results of this MLPerf test have also attracted widespread attention from the industry on sparse computing technology. Experts predict that this technology will become the core of the next generation of artificial intelligence computing architecture, promoting the development of artificial intelligence hardware in a more efficient and energy-saving direction. Moxin’s successful experience will provide an important reference for industry technological innovation and accelerate the popularization and application of artificial intelligence technology.