RTX 2080 vs RTX 4000 Ada

The FP32 performance ratio shows the RTX 4000 Ada at 26.7 TFLOPS compared to the RTX 2080 at 10 TFLOPS which indicates greater throughput for general compute tasks on the RTX 4000 Ada. The RTX 2080 provides FP16 dense at 40.3 TFLOPS for workloads that utilize dense half precision operations while the RTX 4000 Ada does not publish an FP16 figure. Memory bandwidth of 448 GB/s on the RTX 2080 versus 360 GB/s on the RTX 4000 Ada influences data movement rates during batch processing with the higher bandwidth supporting potentially larger effective batches in memory constrained scenarios. The 20 GB VRAM on the RTX 4000 Ada exceeds the 8 to 11 GB on the RTX 2080 which allows handling of larger models without swapping.

The RTX 2080 suits scenarios that require the published FP16 dense figure of 40.3 TFLOPS for dense half precision workloads. Its 448 GB/s memory bandwidth exceeds the 360 GB/s of the RTX 4000 Ada which benefits data intensive operations that fit within 8 to 11 GB VRAM. The 215W TDP remains acceptable in environments where power limits do not constrain deployment.

Its 130W TDP reduces power draw compared to the 215W of the RTX 2080 while the 360 GB/s bandwidth supports steady data transfer in larger memory configurations. FP8 with sparsity at 427.6 TFLOPS applies to sparse tensor operations on this GPU.