Memory prices have made PC building trickier this year, and there’s no magic fix. There are, however, smart ways to build or upgrade without overspending. This guide follows the advice in ASUS’s new 2026 buying guide and turns it into plain, practical steps.
Table of Contents
Three Smart Ways to Cut Memory Costs
The first strategy is to watch for combo deals. Retailers often bundle memory with a CPU and motherboard at a discount, and Newegg still had plenty of these when the guide was published. Availability changes daily, so it’s worth checking often.
Another option is to start with a prebuilt desktop. Many are still available at MSRP, and some are even on sale, which means you aren’t overpaying for the memory inside. You can then upgrade the graphics card later. Just pick a model with standard-sized parts, such as the ROG G700 series, so future upgrades stay easy.
Finally, you can buy the bare minimum now and upgrade once the shortage eases. You might end up with a single stick or a mismatched kit, which isn’t ideal, but it keeps your build alive in the meantime.

Why Your Motherboard Matters More Than Ever?
When your memory setup isn’t perfect, the motherboard does a lot of the heavy lifting. ASUS highlights features like DIMM Fit, DIMM Flex and NitroPath DRAM Technology, all designed to improve stability and speed. Its 800-series Intel boards also include AEMP Mix Tuning, which lets you combine modules from different vendors and even overclock them automatically. If you want more background on the memory standard behind all this, DDR5 SDRAM on Wikipedia is a helpful primer.
Intel or AMD: Which Platform Fits You?
On the Intel side, Z890 boards suit content creators, streamers and high-end gamers, since they allow both CPU and memory overclocking. If you want a middle path, a B860 board with a chip like the Core Ultra 250K Plus works well for mainstream gaming, though it rules out CPU overclocking. For the tightest budgets, a previous-generation Intel platform still handles online gaming with friends.
AMD offers a similar ladder. X870E and X870 boards are built for enthusiasts, especially those pairing them with 3D V-Cache chips like the Ryzen 7 9800X3D. B850 boards are an easy recommendation for most people, because they support current and upcoming AM5 processors along with CPU and memory overclocking. If money is tight, the older B550 platform offers cheaper DDR4 support, though board choices are limited.
RAM Picking the Right Graphics Card
The simplest way to choose a graphics card is to look at its VRAM, the card’s own memory, because it can be a hard limit on what you can do.
Casual users can start with something like the RTX 5050. Social gamers on 1080p monitors do well with 8GB cards such as the RX 9060 XT 8GB or RTX 5060. For 1440p gaming, the RTX 5060 Ti 16GB, RTX 5070 and RX 9070 are all strong picks, while 4K enthusiasts tend to reach for the RTX 5080 or RTX 5090.
Content creators should get as much VRAM as they can afford. When a card runs out, data spills into system memory, and scrubbing through a video timeline gets sluggish.
What About AI Workloads?
VRAM also decides how large an AI model you can run. The good news is that even an 8GB card can do plenty, so you’re no longer tied to expensive monthly subscriptions. A 16GB card opens up more options, especially for long conversations or processing lots of visual data. If you plan to manage a larger fleet of AI agents, you’ll hit that limit quickly, so a 32GB card like the RTX 5090 or ASUS Radeon AI Pro R9700 is the smarter choice.
Bonus: The Upgrade What Matters Giveaway
From August 25 to December 31, 2026, ASUS is running a giveaway on its Upgrade What Matters portal. Entrants can win a custom PC or hardware from a US$15,000 prize pool, and the portal also offers build guides. For more tech tips and PC-building guides, explore Technosports, or see our latest gadget and gaming coverage.
FAQs
Q1. How can I save on RAM when building a PC in 2026?
Look for combo deals, buy a prebuilt and upgrade it, or buy minimal RAM now and upgrade later.
Q2. How much VRAM do I need for AI?
An 8GB card handles light workloads, while 16GB opens up many more options.





