RTX 4080 vs RTX 5000 Ada

The RTX 4080 lists FP16 dense performance at 97.5 TFLOPS and FP16 with sparsity at 195 TFLOPS whereas the RTX 5000 Ada does not publish FP16 figures. FP32 throughput reaches 48.7 TFLOPS on the RTX 4080 against 65.3 TFLOPS on the RTX 5000 Ada so the latter delivers higher single precision throughput per watt at its 250 W TDP. Memory bandwidth of 717 GB/s on the RTX 4080 exceeds the 576 GB/s rating of the RTX 5000 Ada and therefore supports larger batch sizes in bandwidth limited kernels while the 32 GB capacity of the RTX 5000 Ada permits larger resident datasets than the 16 GB capacity of the RTX 4080. FP8 with sparsity reaches 389.8 TFLOPS on the RTX 4080 against 1044.4 TFLOPS on the RTX 5000 Ada.

The RTX 4080 suits workloads that benefit from its 717 GB/s memory bandwidth when processing streaming data at moderate batch sizes. Its published FP16 dense rating of 97.5 TFLOPS also provides a concrete reference point for mixed precision pipelines that require documented dense tensor throughput.

The RTX 5000 Ada suits workloads that require its 32 GB memory capacity for models that exceed 16 GB footprints. Its 250 W TDP further favors sustained operation inside power limited servers where the 65.3 TFLOPS FP32 rating still exceeds the 48.7 TFLOPS rating of the RTX 4080.