Current top GPUs consume 200 watts per hour, with 7.5 billion people it would be 1500 gigawatts per hour. Currently, ~ 21,000 terawatt hours of electricity are consumed worldwide every year. For the top GPUs, 16 hours a day per person would be: 16 x 200 watt hours per day 3.2 kilowatts are required for all 7.5 giga people it would be 24 terawatt hours a day, and for the year 8,760 terawatt hours of electricity, so we would then need around 42% more energy than is currently used. That would be an additional 2000 medium-capacity nuclear power plants that would have to be raised more.
2.) Robots with a GPU in their heads?
There are robots with a GPU in their heads. These robots use GPUs to run machine learning and computer vision algorithms. This allows them to perform complex tasks such as: B. recognizing objects, navigating an environment and learning new skills.
An example of a robot with a GPU in its head is the NVIDIA JetBot. The JetBot is a small, affordable robot kit equipped with an NVIDIA Jetson Nano GPU. The GPU allows JetBot to run machine learning algorithms that help it navigate its environment and recognize objects.
Another example is the Pepper robot from SoftBank Robotics. The Pepper is a humanoid robot equipped with an NVIDIA Tegra K1 GPU. The GPU enables the Pepper to have facial recognition, speech recognition and speech synthesis.
GPUs are essential for artificial intelligence (AI) robots. They enable robots to perform complex tasks that would be too difficult or time-consuming for traditional computers.
Here are some examples of how GPUs can be used in robots:
- Machine Learning: GPUs can be used to train and run machine learning algorithms. This allows robots to recognize patterns in data and use this information to make decisions.
- Computer Vision: GPUs can be used to accelerate computer vision algorithms. This allows robots to see and understand their surroundings.
- Robotics: GPUs can be used to accelerate robot control algorithms. This allows robots to move around an environment and perform complex tasks.
The use of GPUs in robots is an evolving field. As AI and computer vision advance, GPUs will likely play an even more important role in robots.
Triangles per second is an indication that indicates the maximum drawing / representation per second With a 1000 MHz GPU you can draw up to 1000 million
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