With the rapid pace of architectural advances, many people wonder if older graphics cards can still hold their own in current titles or in compute‑heavy tasks like AI inference. While newer silicon brings higher bandwidth and efficiency, legacy GPUs often still support the essential APIs and can be a cost‑effective solution for less demanding workloads. I'm curious how you evaluate their performance gap: do you rely on benchmark databases, real‑world testing, or simply the generation age? Also, what factors (power budget, driver support, feature set) influence your decision to keep or retire an older GPU? Looking forward to your experiences.
Should legacy GPUs still be considered viable for modern gaming and compute workloads?
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Valla RTX 3060 gibi yeni nesil kartlar daha iyi ama eski kartların VRAM miktarı ve bellek bant genişliği yeterli mi? Özellikle AI inference gibi compute işlerinde hangi API desteği (CUDA vs OpenCL) daha kritik oluyor?
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