Building your own computer is becoming more popular compared to buying prebuilt or even custom ones. The appeal is that it’s completely customizable to suit the consumer’s needs. Unfortunately, many often mistakenly fall into the mindset that as they’re building it themselves, they may as well go all out. However, The Next Web has some advice for first-time computer builders: “There’s always going to be a never-ending list of things you can do better with your build, but it’s important to stick to your actual needs and budget.”
The first question you should be asking yourself is, “What am I going to be using this for?” The computers listed on Adorama show that there is a huge variety of devices available to different users: from entry-level computers for general use to more advanced systems for professional purposes, such as pro gaming and web design.
These include laptops and computers from top brands like CyberPowerPC, MSI, Acer, Apple, and more, with brand-new units costing up to $52,100! This should lead you to the question, “Do I actually need a high-end PC?” If you plan to use it for the following, the answer is generally, Yes:
The articles in our Gaming archive provide solutions to some common gaming-related errors, but they don’t include how to make a game run smoothly on your computer. If you plan to spend a lot of time playing modern games, then you need a high-end PC.
Modern games have become graphics-intensive, with each game having recommended system requirements to play it at the best quality. The regular, budget prebuilt PC often won’t be able to handle that. The recommended specs can also serve as a point of reference for whether it’s time for you to upgrade your system or not.
Processing large amounts of data, such as in statistical analysis and computing, can be heavy on your processor and RAM. While you might be able to run all your data points through your computer, this process can take as long as months. Towards Data Science shows that it’s possible to build a computer perfect for data-crunching, despite being on a budget. The article suggests a high-tier graphics card, as this is one of the most important parts of an effective data science computer. A powerful processor and 16GB of RAM will also help your PC run the data faster and more smoothly.
3. Graphics Design and 3D Modeling
If your PC is not properly equipped for modern image creation and manipulation software, it can keep crashing or freezing. The PC parts discussed on Logical Increments represent that the CPU is no longer the single most important component of a rendering PC. The graphics card and power supply are what can make or break your progress on projects. The better the graphics card, the faster you can work. It’s also best to ask an expert about your power supply so the other parts of your PC don’t get damaged when working on projects that have high system requirements.
4. Video Processing
Editing simple videos can be done on any computer, even your phone. But doing serious video processing on just any gadget might cause it to crash often, not to mention make you suffer through long render times. For video processing, a powerful processor and a RAM of at least 16 GB are necessary. Compared to a computer for graphics and data science, it’s usually fine to be a bit cheaper with the graphics card, but this still depends on the kind of software you will be using.
These are the ideal specs to have depending on the work you will be doing on your PC. But if your budget can’t handle it yet, you can opt to buy the minimum requirements for your needs now and leave space for future upgrades. This way, you can still get your work done as efficiently as possible while also saving up for better parts.