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Employs in-house high-efficiency algorithms and neural networks with onboard artificial intelligence acceleration hardware. It significantly enhances graphics processing performance, providing real-time rendering improvements on top of the GPU's core functionalities.
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This approach minimizes hardware overhead, elevating GPU rendering efficiency, image quality, and frame rates. It enhances user experiences while reducing costs.
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The solution boasts a scalable parallel architecture, efficient floating-point computational capacity, a highly optimized memory hierarchy, and software-hardware synergy. This combination, coupled with optimized compilers, operating systems, and application software, delivers high performance, versatility, and low power consumption.
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With its proprietary architecture and instruction set, it competes effectively with leading international products like Ampere and Ada. Furthermore, it maintains compatibility with general APIs such as DirectX, OpenGL, Vulkan, OpenCL, among others.
