The NVIDIA RTX 4000 Ada Generation is the objective winner of this comparison, securing victory in eight out of fourteen measured specifications. While the NVIDIA RTX 2080 SUPER holds a notable advantage in its Tensor Core count, which is 100% higher than that of its competitor, the RTX 4000 Ada Generation provides a more substantial lead in memory capacity. Specifically, the RTX 4000 Ada Generation offers 150% more VRAM, representing the most impactful technical advantage between these two components.

Users who prioritize raw memory capacity for demanding professional workloads should select the NVIDIA RTX 4000 Ada Generation to leverage its superior VRAM. Conversely, those who require a higher density of Tensor Cores for specific computational tasks will find the NVIDIA RTX 2080 SUPER to be the more suitable choice. Your final decision should depend on whether your primary workflow relies more heavily on the expanded memory buffer of the newer card or the specialized core architecture of the older model.