The correct answer is to employ parallel uploads to segment the file into smaller parts and transfer them simultaneously. This method leverages object composition in cloud storage, allowing you to divide your data into multiple chunks, upload each chunk in parallel to distinct objects, compose your final object, and then delete any temporary source objects. This approach maximizes bandwidth usage and ensures the fastest possible upload speed.

Using the Cloud Transfer Service is not the best choice here as it's designed for transferring massive amounts of data (petabytes) and would be unnecessarily expensive for this scenario.

Initiating a recursive upload is not applicable as Google Cloud Storage does not support recursive uploads.

While multithreaded uploads with the -m option can upload multiple files simultaneously, it's not as effective for large individual files over 80GB as breaking them into smaller chunks for parallel uploads.