RTX 2060 vs RTX 4000 Ada

Dense FP32 throughput differs markedly between the two GPUs. The RTX 2060 reaches 6.5 TFLOPS of dense FP32 while the RTX 4000 Ada Generation reaches 26.7 TFLOPS of dense FP32. This fourfold increase allows the RTX 4000 Ada Generation to complete matrix operations in training and inference workloads in substantially less time when both GPUs operate at dense precision. Memory bandwidth stands at 336 GB/s for the RTX 2060 and 360 GB/s for the RTX 4000 Ada Generation. The higher bandwidth on the RTX 4000 Ada Generation supports larger batch sizes before memory stalls occur during data movement between compute units and VRAM. The RTX 4000 Ada Generation also lists 427.6 TFLOPS with sparsity at FP8 precision which has no corresponding published figure on the RTX 2060.

The RTX 2060 suits workloads that fit within 12 GB of VRAM and require only 6.5 TFLOPS of dense FP32 performance. Its PCIe 3.0 interconnect remains compatible with older server platforms that lack PCIe 4.0 support. Systems already equipped with the RTX 2060 avoid hardware replacement when the target application does not exceed the 160 W TDP limit.

Its 130 W TDP reduces power draw relative to the 160 W TDP of the RTX 2060 while delivering higher throughput. The 360 GB/s memory bandwidth and PCIe 4.0 interconnect further improve data movement efficiency for sustained compute tasks.