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๐Ÿ’ช GPU Battle #2 ๐Ÿ’ช NVIDIA GeForce RTX 5090 vs RTX 4090

This is the generational jump โ€” Blackwell versus Ada Lovelace. The 5090 is a 32GB GDDR7 card with a 512-bit bus and roughly 21,760 CUDA cores. The 4090 is a 24GB GDDR6X card with a 384-bit bus and around 16,384 cores. On paper the 5090 has significantly more of everything, but the real-world gaps are more nuanced than the spec sheet suggests.

In rasterized gaming, the 5090 leads by roughly 25โ€“35% at 4K โ€” a solid generational improvement, but not the doubling some expected. At 1440p the gap shrinks, and in CPU-bound scenarios both cards hit similar limits. In ray tracing, the 5090 pulls further ahead โ€” 35โ€“50% in heavy RT titles, thanks to more RT cores and the wider memory bus. In VRAM, the jump from 24GB to 32GB matters for AI workloads, 8K textures, and heavy 4K RT with frame generation. In power draw, the 5090 is significantly hungrier โ€” around 575W TDP versus the 4090’s 450W โ€” so it needs a beefier PSU and better cooling. In DLSS 4 and frame generation, the 5090 gets newer multi-frame generation that the 4090 doesn’t, which can effectively double perceived smoothness in supported titles. In price, the 5090 launched higher than the 4090 did, and the 4090 is often still expensive on the used market.

Short version: 5090 is faster across the board, but the gap is biggest in ray tracing, AI, and 4K ultra settings โ€” and it costs and draws more.

Choose 5090 if you want the fastest card available, do AI/ML work, or game at 4K with ray tracing and frame generation.
Choose 4090 if you already own one, or find one used at a good price โ€” it’s still an excellent 4K card and handles most workloads with ease.


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