GPUs are generally better than CPUs for processing AI tasks due to several key advantages:

Key Advantages of GPUs Over CPUs for AI

1. Parallel Processing Capability:

   • GPUs: Designed to handle thousands of threads simultaneously, GPUs excel at parallel processing, which is crucial for AI tasks like deep learning and neural networks.

   • CPUs: Process tasks sequentially, which limits their ability to handle complex AI computations efficiently.

2. High Throughput and Bandwidth:

   • GPUs: Offer high bandwidth memory and a large number of cores, enabling fast data handling necessary for training deep learning models.

   • CPUs: Have lower memory bandwidth, making them less efficient for large datasets.

3. Energy Efficiency