From game drawing to artificial intelligence | GPU becomes the corner of AI's new era

Computer graphics is the driving force behind GPU development. Drawing applications are never satisfied with computing power. At the same time, this has produced a huge industry scale. The entertainment industry has a market demand of 1 billion image renderings per year. 400 new games are launched every year. The application of the global lighting technology is like a movie special effects scene. In addition, 500 new films each year, each picture is also the result of numerous renderings. There are currently 12 million designers worldwide, and All product designs in the world also rely on drawing technology. As for 150,000 architects, they also use drawing technology for interior and outdoor architectural design. These immersive rendering algorithms cannot be accelerated. The CPU can only perform rendering jobs, until now the GPU technology makes these applications come true.

The six major markets, including high-speed computing, AI, image processing, transportation, medical and urban security, will bring huge business opportunities.

Creating a high-realistic entertainment world is the goal pursued by computer scientists in the past decade. Rendering means that when the light source hits the surface of the object, the light absorption, reflection and refraction calculation can be performed according to the material of the object. The industry now uses ray tracing technology, but even a single screen requires a few hours of computation on the server by the CPU, and a 2 hour movie has more than 300,000 frames, which can be rendered through the CPU. It takes millions of hours. But if it is accelerated by the GPU, these tasks can be achieved in a shorter period of time.

As for medical treatment, it is currently one of the largest industries in the world. It is estimated to have an output value of about 7 trillion. Early detection of early treatment is the best weapon against disease. Today there are 3 million medical devices, all of which are in AI technology. The operation was completed before the breakthrough. With the maturity of computing technology, from detection, diagnosis to drug development, the medical industry is also undergoing a revolutionary AI technology baptism.

Smart cities bring safe urban industries, and in the future it is estimated that there will be two trillions of output value. Billions of cameras monitor public areas to ensure public safety, control traffic flow and optimize energy use. Without AI, it will not be possible. There are enough people to continuously monitor these details. In the past 12 years, the global population has increased by one billion, and the city has become more and more crowded. The “Amazon effect” has caused the frequent shipment of 1000 online shopping products, resulting in a serious shortage of truck drivers. The transportation industry is expected to create A $1 billion business opportunity, in the future, all vehicles will use a self-driving system.

The invention of self-driving is one of the most important contributions of AI. It will provide a new taxi service without driving, help truck drivers to reduce pressure and expand the scope of work, and more importantly, improve road safety. However, at the same time, self-driving It has also become one of the biggest challenges in the history of computing. The self-driving car computer must be a high-quality, real-time supercomputer that can be used to train, simulate and test AI software.

AI's business opportunities are infinite. It is estimated that when it comes to the end of Moore's Law in 2028, the computing power required by the market is reaching its peak. Six markets including high-speed computing, AI, image processing, transportation, medical and urban security will all be in the market. Bringing huge business opportunities. Looking at these application areas, the single architecture + killer application + global ecosystem + the market value of the US dollar will become the key to the development of high-speed computing. From GPU to game graphics, in the future The development of AI will also become an indispensable corner. It is worthy of attention. On the contrary, CPU will compete with GPUs in the future application of AI. This computing war is expected.

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