GPUs are designed with a large number of cores that can handle thousands of threads simultaneously. This parallel architecture allows for massive computational throughput, especially for tasks that can be broken down into smaller, independent operations. Unlike traditional CPUs, which are optimized for sequential processing, GPUs excel in parallel processing, making them ideal for simulations and data analysis in nanotechnology.
