Home News After taking on DLSS, AMD graphics cards target NVIDIA’s unique AI acceleration

After taking on DLSS, AMD graphics cards target NVIDIA’s unique AI acceleration

0
After taking on DLSS, AMD graphics cards target NVIDIA’s unique AI acceleration

Compared to NVIDIA’s graphics architecture, AMD’s RDNA architecture has a gap in performance and light chase. In addition to two new areas that are not as good as NVIDIA, one is DLSS and one is AI unit, both of which are unique to N cards, but AMD’s FSR 2.0 is now available to benchmark DLSS.

There is also a gap is the AI unit, NVIDIA in the RTX 20 series of the Turing architecture on the introduction of Tensor Core, used to accelerate AI computing, DLSS 1.0 relies on AI acceleration, in the implementation of AI-related operations in the performance of more advantageous.

AMD’s RDNA and RDNA2 architectures do not have a dedicated AI unit and instruction set, but that may change in the RDNA3 architecture (codenamed GFX11) at the end of this year. The latest revelation shows that AMD is providing WMMA (Wave Matrix Multiply-Accumulate) instruction support for the architecture, which can perform multiplication and addition.

AMD supported the MFMA instruction set in its CDNA2 architecture for computing cards last year, and the WMA instruction set is more flexible and supports data formats that are closer to AI needs.

After this upgrade, the RDNA3 architecture should be able to narrow the gap with NVIDIA’s GPU architecture in terms of AI and DLSS. Coupled with AMD’s previously announced 50% improvement in energy efficiency, this year’s RX 7000 graphics card is still worth looking forward to, and is expected to be on par with N cards in terms of performance, energy efficiency, and technology.