The difference between artificial intelligence computer and ordinary computer

Hardware configuration, memory storage, pre-installed software, optimization, price and target users are all different.

1, hardware configuration is different: AI computers will be equipped with higher-performance CPU and GPU to better carry out machine learning and deep learning calculation, which usually requires a lot of parallel processing power, so powerful graphics processors are very important for AI applications, such as Intel Core Ultra CPU (independent NPU+ higher-performance core graphics card).

2. Memory and storage are different: Ai applications usually need to process a large amount of data, so AI computers may have larger RAM and faster storage solutions to access and process data quickly. Ordinary computers may be 16GB, but AI computing notebooks recommend at least 32GB of memory.

3. Different pre-installed software: AI computers will pre-install some special AI development tools and libraries, such as TensorFlow and PyTorch, so that developers can directly start AI-related work.

4. Different optimizations: The AI computer system will be optimized for AI and machine learning tasks to improve efficiency and performance.

5. Different prices: Due to the higher-end hardware and professional software, the price of AI laptops is usually higher than that of ordinary laptops.

6. Different target users: AI computers are usually aimed at data scientists, AI researchers, developers and other professionals, while ordinary laptops are aimed at consumers, including students and office workers.