AMD’s latest research could potentially lead to the foundation of FSR 4
AMD plans to catch up to NVIDIA
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Nvidia currently dominates the GPU market, especially due to its advancements in the AI sector, taking the company to even greater heights. The green team’s advanced AI and machine learning-based technologies have driven strong demand for its GPUs, even from market-cap rivals. And quite frankly, AMD hasn’t been able to catch up in this AI race, especially in the consumer markets YET. Recent GPUOpen information suggests that the red team is currently focusing its research to bring better results, if not on par, with Nvidia’s AI upscaling performance.
A new version of AMD’s FSR might be on the way
NVIDIA’s DLSS technology for AI image upscaling has advanced significantly. “Deep Learning Super Sampling” evolved into DLSS 2 upscaling, DLSS 3 frame generation, and DLSS 3.5 ray reconstruction. AMD, on the other hand, still relies on traditional methods for its image upscaling, but the company plans to change that soon.
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AMD’s latest research focuses on neural denoising to improve noisy images by using a limited number of ray samples in real-time path tracing, essentially ray reconstruction. Simply put, ray reconstruction allows the system to analyze the noisy image and reconstruct a clearer version, making it look more realistic without requiring more computational resources.
AMD hopes for similar gains as NVIDIA’s solution, which has been praised for preserving details that traditional rendering takes much longer to achieve. It just might succeed, as this research could potentially lay the groundwork for AMD’s FSR 4, enabling it to match NVIDIA’s performance and image quality standards.
AMD’s RDNA 4 GPUs will pave the way for faster and more advanced AI capabilities
NVIDIA’s DLSS technology requires dedicated AI hardware on RTX GPUs, which current AMD GPUs lack, or in the case of the RDNA 3 architecture, include AI accelerators that share execution resources with the GPU shaders but are more optimized for AI workloads. This raises the question of whether AMD can execute its AI plan on existing GPUs or if it will require new hardware. And it looks like we have our answer.
AMD’s CEO Lisa Su recently stated that their next-gen RDNA 4 GPUs will deliver significantly higher ray tracing performance and include new AI capabilities. This indicates that AMD’s next-gen Radeon lineup aims to catch up to NVIDIA’s AI performance to bring a refined approach to neural path tracing and upscaling that could provide high-fidelity graphics to a wider range of hardware.
