What is a GPU?

Graphics Processing Unit (GPU) is a type of processor designed to handle many tasks at the same time. GPUs were initially made for computer graphics, but GPUs are now very useful for AI because they can perform thousands of calculations simultaneously. 

There is a significant difference between CPU and GPU - CPUs (Central Processing Units) usually handle a few complex tasks one after another. AI systems need to process thousands of tasks at once, like in machine learning and video rendering and GPUs does this very well. GPUs speed up AI tasks like training models and making predictions by quickly processing large amounts of data. They have thousands of small cores that work together to do many calculations at the same time. This makes training big AI models much faster, reducing the time from weeks to days or hours. After training, GPUs help run AI models in real-time applications such as ChatGPT, self-driving cars, chatbots, and image recognition. In these applications, quick responses are crucial.

Because AI uses huge amounts of data, GPUs help manage and process it efficiently. This allows researchers to improve AI models faster and create more advanced AI systems. In short, GPUs are the powerful engines behind AI’s rapid growth and success across many fields. In the next blog, we will discuss how much power modern GPUs use and how they are designed to save energy.

AI has to handle thousands of tasks simultaneously—whether it’s training machine learning models or rendering video—and that’s where GPUs excel