[Answer] Can an Underpowered Laptop Be Helped by the Cloud or Remote Computing?

[Answer] Can an Underpowered Laptop Be Helped by the Cloud or Remote Computing?

That depends on what you need the laptop’s performance for. In both theory and practice, it is entirely feasible to make use of the powerful computing resources of remote servers.

In fact, in the earliest days of computing, limited by the size and cost of vacuum tubes, most computer systems used a server-plus-terminal model. The terminal computer was really just an interface for input and output, while all actual computation was carried out on the mainframe acting as the server. Under those conditions, giants like IBM held a monopolistic position.

Companies represented by Microsoft and Apple made personal computing possible, and with the realization of Moore’s Law, the computing power of personal computers increased at an astonishing pace day by day. Today, unless you are doing specialized tasks such as scientific computing, even an ordinary laptop or desktop is more than sufficient for everyday office work.

With the rise of internet speeds and the development of cloud technologies, distributed virtual cloud servers have made it possible for computing architecture to move back toward a structure of remote cloud servers plus personal terminal computers, except that their performance is now millions of times greater than that of early mainframes. Whether you log in to a remote Windows machine through Remote Desktop or connect to a remote Linux host via SSH, as long as the network speed is adequate, a laptop can absolutely serve as a remote terminal, with the actual operations and computation handled by the remote machine. Going a step further, virtual cloud hosts built on distributed architectures make large-scale distributed computing possible, allowing hundreds or thousands of computers to process massive amounts of data at the same time. This is a concentrated reflection of the progress of computer technology.

Google and PC manufacturers once launched several Chromebook laptops, using very small storage, limited memory, and low-end processors, with all applications relying on Google’s online services. (Since Google services are not accessible domestically, Chromebooks are effectively useless there.) This was a new model and an experiment. I believe that as networks continue to develop rapidly—with gigabit internet or even faster connections becoming common, and with the rollout of 5G—this model will definitely find its place. In the future, mobile phone services may also adopt a low-hardware-plus-cloud-services model, rather than continuing to squeeze local hardware performance the way they do now.

There is one exception: if you want to run large-scale design software or games with very demanding visual rendering requirements, remote servers may still fall short. In such cases, you often need a local computer with a powerful graphics card.