Node.js, traditionally not considered suitable for CPU-intensive tasks due to its non-blocking, event-driven I/O architecture, can now efficiently handle such tasks with the introduction of worker threads. While Node.js excels at managing I/O-bound applications by utilizing non-blocking calls to support numerous concurrent computations, CPU-bound applications, which heavily rely on CPU resources, can cause the Node.js event loop to block. To address this, strategies like using multiple processes or child processes have been employed, though they come with limitations such as isolated memory spaces and the need for data serialization. Worker threads offer a more effective solution by allowing multiple Node.js instances to run within the same process, enabling shared memory without the overhead of JSON data exchange. Worker threads are particularly useful for CPU-intensive tasks such as image resizing, video compression, and file integrity checks, as they offload these processes from the main thread, thereby optimizing performance. However, it is recommended to create a pool of worker threads to manage resources efficiently, especially when dealing with tasks like video compression where modules such as ffmpeg are utilized. While worker threads significantly enhance Node.js's capability to handle CPU-intensive operations, they are not recommended for I/O tasks, as Node.js's native asynchronous mechanisms are more efficient for such purposes.