Graphics cards for gaming, AI and workstations
More frames. Bigger models.
GeForce RTX 50 Series and professional workstation cards. Check memory, power and size first, and we will help you match the card to the work.
12 to 16 GB
video memory for gaming
32 GB+
for local AI and 3D
1000W
power supply for an RTX 5090
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The right GPU depends on the work: games, AI models, 3D or video. Video memory, power draw and physical size matter as much as raw speed, so check your power supply and case before you choose.
What to look for
Video memory
12 to 16 GB handles gaming. Local AI and large 3D scenes need 32 GB or more.
Power supply
High-end cards draw a lot. NVIDIA recommends a 1000W supply for the RTX 5090 and 850W for the RTX 5080.
Card size
Flagship cards are long and up to four slots thick. Measure your case before ordering.
Gaming or workstation
Professional cards (RTX PRO, Radeon Pro) carry certified drivers for CAD and engineering software.
Buying for a team?
Need several cards or a complete workstation build? We will check fit, power and availability before you order.
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Popular picks from our catalog. Select a product to see live price and availability.
Questions buyers ask
Is the RTX 5090 worth it over the RTX 5080?
For 4K gaming and for AI work with large models, yes. The RTX 5090 has 32 GB of memory against 16 GB on the RTX 5080.
What is the best GPU for AI and machine learning?
The card with the most memory you can afford. Memory limits the size of model you can run more than speed does.
Should engineers buy a gaming card or a workstation card?
Workstation cards for certified CAD and simulation apps. Gaming cards work well for everything else.
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