A graphics card is usually the most expensive part of a build, and the one most often chosen on the wrong number. Here is what to check, in order.
1. VRAM, and be honest about your workload
Video memory is the first thing to settle for creative work — AI model development, high-resolution video editing, 3D rendering.
16GB is enough for most common tasks. 32GB is what heavy AI and simulation work needs. 8GB is a reasonable starting point for a beginner on a tight budget.
The reason VRAM comes first is that it is a hard wall rather than a slope. If a model or a project file does not fit in video memory, it does not run slowly — it fails, or falls back to system memory and crawls. Every other specification degrades gracefully. This one does not.
2. Performance, because capacity is not speed
VRAM alone is not enough, and this is where the common mistake happens: buying a card with a large but slow memory pool.
Check processing speed and memory bandwidth. Rendering and complex scene editing need strong cores and high clock speeds. A 16GB card with high bandwidth will beat a 16GB card without it, at the same capacity on the box.
3. Will it physically fit
Powerful modern cards are large, usually with three fans. Measure your case before buying.
For a small case or a multi-GPU setup, look for a slim design — a 2.5-slot card rather than a three-slot one. This is the check people skip and then discover on the floor with the side panel off.
4. Ports, for the monitors you actually own
Multi-monitor setups need the right mix of DisplayPort and HDMI. Some workflows want USB Type-C video output. Count the outputs you need before you buy, not after.
5. Acceleration features
Recent-generation cards include AI-based technology that can substantially speed up video processing and rendering. This is worth weighing against raw specifications, because a slower card with the right acceleration can finish a real job faster than a nominally quicker one without it.
6. Your needs and your budget
Review what you actually do and what you can spend. A card chosen against real work rather than benchmark charts tends to stay useful for years.
One addition for buyers in Bangladesh
The guidance above comes from ASUS and assumes a stable market. This one does not have one — memory prices have been climbing all year, and this site has tracked GPU and RAM prices in Dhaka through several months of increases.
That changes the calculation in a specific way. When memory is expensive, the premium for a larger VRAM tier widens, and the temptation is to drop to 8GB to stay in budget. If your work genuinely needs 16GB, dropping a tier does not get you a slower machine. It gets you one that cannot do the job at all.
The seventh check the list leaves out
Your power supply. A large card needs both the wattage and the right connectors, and a unit that was adequate for the old card can fail under a new one in ways that look like software faults — random reboots under load, crashes only during rendering.
Check the card's rated requirement and the connectors it expects before buying, not after it is seated.
