AMD: They have confirmed that their next-generation RDNA 4 gaming GPUs, the N**i 4X series, will launch in 2024. The N**i 4X series is AMD's latest generation of graphics processing units (GPUs) after RDNA 3. These GPUs will bring higher gaming performance boosts.
Top Authors List 1, Architecture and Process Technology The RDNA 4 architecture is expected to use more advanced process technology, which may be 4nm or 3nm processes. The adoption of this advanced process technology will result in a significant increase in transistor density, resulting in a significant increase in performance and a significant reduction in power consumption. Increased transistor density often means that more computing units can be integrated onto chips of the same size, increasing graphics processing power.
2. Performance improvement
The RDNA 4 series is expected to deliver significant performance improvements compared to its predecessor. This includes higher clock speeds, more computing power, and more efficient energy management. An increase in clock speed has a direct impact on the speed of graphics processing, while an increase in energy efficiency means that more performance output can be delivered from the same power supply, or less energy consumption can be reduced while maintaining the same performance.
3. Ray tracing and AI technology
Ray tracing provides more realistic and dynamic lighting that dramatically improves the visuals of games and graphics applications. AMD is likely to further enhance ray tracing capabilities in the RDNA 4 series, allowing it to handle complex lighting calculations more efficiently. In addition, the integration of more advanced AI technologies will help optimize image processing and improve the gaming experience, such as through AI-accelerated image upsampling technology to provide sharper image quality while maintaining a high frame rate.
Overall, the RDNA 4 series is expected to bring significant improvements in performance, energy efficiency, and graphics power, making it an important role in gaming and high-performance computing applications.