Fast technology May 1st news, for what is AI PC, Intel and AMD's views are surprisingly consistent, emphasizing that it must be the trinity of CPU, GPU and NPU, especially vigorously promoting the new NPU, NVIDIA as a graphics card manufacturer will not do it. It is believed that only with a powerful RTX GPU graphics card is a true AI PC.
NVIDIA RTX Gpus were born in 2018, and over the years have entered various industries to provide a wide range of application acceleration, including but not limited to: gaming, content creation, audio and video, productivity, development, everyday life, and more.
In terms of computing power, NPU is, after all, used for sustained AI low load, such as Windows video conferencing effect processing, which can only achieve 10-45 TOPS at this stage.
RTX graphics card computing power can at least exceed 100 TOPS, up to more than 1300 TOPS, for any AI load is very easy, such as for the local large language model, RTX 4050 can surpass Apple M3, RX 7900 XTX as a competing flagship is not as good as RTX 4070 SUPER.
In terms of ecology, NVIDIA is very proud that RTX graphics cards already support AI acceleration for more than 500 games and applications, and also provide a comprehensive and powerful development platform.
Among them, there are more than 370 RTX AI games, DLSS 3 super resolution, RTX Remix game transformation, ACE digital people, etc., all use RTX AI acceleration, especially DLSS can bring up to 4 times the performance improvement.
There are more than 125 RTX AI applications, covering image editing, video editing, 3D design, live broadcasting and other fields, as well as a variety of unique AI SDKS, which can bring up to 10x performance improvement.
For example, Stable Diffusion generates 7 times faster images, Autodesk Arnold renders 6 times faster, DaVinci Resove video editing speeds 2.5 times faster, Adobe Premiere Pro audio editing speeds 4.5 times faster, and so on.
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