How do GPUs handle large datasets more efficiently than CPUs

GPUs handle large datasets more efficiently than CPUs due to several architectural and design advantages:

Key Advantages of GPUs for Handling Large Datasets

1. Massive Parallel Processing:

   • GPUs: Equipped with thousands of cores, GPUs can process multiple data points simultaneously, significantly speeding up computations involving large datasets.

   • CPUs: Typically have fewer cores (often 4 to 32), limiting their parallel processing capability.

2. High Bandwidth Memory:

   • GPUs: Feature high-bandwidth memory interfaces (e.g., GDDR6 or HBM2) that allow for rapid data transfer between memory and processing units.

   • CPUs: Generally use lower bandwidth memory interfaces (e.g., DDR4), which can bottleneck data-intensive applications.

3. Specialized Architecture: