The main architectural differences between GPUs and CPUs are primarily centered around their core design, processing approach, and memory architecture. Here's a detailed comparison:

Core Design and Processing Approach

• CPU Cores: CPUs typically have fewer but more powerful cores, optimized for handling complex, single-threaded tasks. They are designed for low latency and are versatile, capable of executing a wide range of instructions quickly.

• GPU Cores: GPUs have thousands of cores, each less powerful than a CPU core, but they excel at handling many simpler tasks in parallel. This makes GPUs ideal for high-throughput applications like graphics rendering and AI computations.

Memory Architecture

• CPU Memory: CPUs use a hierarchical memory structure with large, fast cache layers (L1, L2, L3) to minimize memory access latency. This is crucial for